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1 | DistributedKeyword-guided Topic Model with Lexical Knowledge Supervision | https://dl.acm.org/doi/10.1145/3737881 | Rui Wang; Yanan Wang; Ziang Li; Haitao Cheng; Guozi Sun | Topic models are often used to discover latent semantic patterns from document collections.
However, existing unsupervised approaches have the following drawbacks: (1) The mined
topics may not match user interests; (2) They are prone to extract ... | ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 19, Issue 6 Article No.: 120 , Pages 1–19 https://doi.org/10.1145/3737881 | null | 免费 |
2 | BERT-based Models forKeywordExtraction from Arabic Scientific Articles | https://dl.acm.org/doi/10.1145/3761805 | Bilal Babayigit; Hamza Sattuf; Mohammed Abubaker | Keywords at the beginning of research articles are crucial for conveying the content
and main ideas of academic works. They serve as essential tools for researchers to
efficiently search for relevant topics. The integration of traditional natural language
... | ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 24, Issue 10 Article No.: 105 , Pages 1–25 https://doi.org/10.1145/3761805 | null | 免费 |
3 | IKNet: Interpretable Stock Price Prediction viaKeyword-Guided Integration of News
and Technical Indicators | https://dl.acm.org/doi/10.1145/3768292.3770343 | Jinwoong Kim; Sangjin Park | The increasing influence of unstructured external information, such as news articles,
on stock prices has attracted growing attention in financial markets. Despite recent
advances, most existing news-based forecasting models represent all articles using
... | ICAIF '25: Proceedings of the 6th ACM International Conference on AI in Finance Pages 709–717 https://doi.org/10.1145/3768292.3770343 | https://dl.acm.org/doi/pdf/10.1145/3768292.3770343 | 免费 |
4 | Enhancing Search Privacy on Tor: Advanced DeepKeywordFingerprinting Attacks and
BurstGuard Defense | https://dl.acm.org/doi/10.1145/3708821.3733914 | Chaiwon Hwang; Haeseung Jeon; Jiwoo Hong; Hosung Kang; Nate Mathews; Goun Kim; Se Eun Oh | This paper addresses the privacy risks associated with Keyword Fingerprinting (KF)
on Tor, a process that involves inferring user-typed keywords through traffic analysis.
Existing research has been inadequate in effectively fingerprinting keywords. To ... | ASIA CCS '25: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security Pages 621–634 https://doi.org/10.1145/3708821.3733914 | https://dl.acm.org/doi/pdf/10.1145/3708821.3733914 | 免费 |
5 | Temporal JSONKeywordSearch | https://dl.acm.org/doi/10.1145/3654980 | Curtis Dyreson; Amani Shatnawi; Sourav S. Bhowmick; Vishal Sharma | JSON keyword search searches the current versions of documents in a collection. However,
JSON documents change over time due to edits. Some applications, such as data forensics
and auditing, need to search past versions of documents and for changes to ... | Proceedings of the ACM on Management of Data (PACMMOD), Volume 2, Issue 3 Article No.: 177 , Pages 1–27 https://doi.org/10.1145/3654980 | https://dl.acm.org/doi/pdf/10.1145/3654980 | 免费 |
6 | MISP-QEKS: A Large-Scale Dataset with Multimodal Cues for Query-by-ExampleKeywordSpotting | https://dl.acm.org/doi/10.1145/3746027.3758268 | Shifu Xiong; Hang Chen; Shi Cheng; Kai Shen; Hengshun Zhou; Genshun Wan; Chenyue Zhang; Kewei Li; Jun Du; Lirong Dai | We present MISP-QEKS, the first large-scale tri-modal benchmark for query-by-example
keyword spotting (QEKS). Specifically, MISP-QEKS comprises 610,000 enrollment-query
pairs with real-world noise, and covers 9,830 keywords. We also introduce a cross-... | MM '25: Proceedings of the 33rd ACM International Conference on Multimedia Pages 13148–13155 https://doi.org/10.1145/3746027.3758268 | https://dl.acm.org/doi/pdf/10.1145/3746027.3758268 | 免费 |
7 | From Precision to Perception: User Surveys in the Evaluation ofKeywordExtraction
Algorithms | https://dl.acm.org/doi/10.1145/3736733.3736741 | Jingwen Cai; Sara Leckner; Johanna Björklund | Stricter regulations on personal data are causing a shift towards contextual advertising,
where keywords are used to predict the topical congruence between ads and their surrounding
media contexts — an alignment shown to enhance advertising ... | HILDA '25: Proceedings of the Workshop on Human-In-the-Loop Data Analytics Article No.: 2 , Pages 1–9 https://doi.org/10.1145/3736733.3736741 | https://dl.acm.org/doi/pdf/10.1145/3736733.3736741 | 免费 |
8 | Network Community Information Resource Optimization Organization Based onKeywordCo-occurrence Relationship in Meishitianxia Website | https://dl.acm.org/doi/10.1145/3767052.3767088 | Chunlan Li; Keyin Lu; Dachao Pang; Yujie Li | The Meishitianxia website is a Chinese network platform focusing on the field of food,
which provides a communication platform integrating cooking demonstration, food exchange
and healthy diet knowledge sharing for the majority of food lovers. At present, ... | BDAIE '25: Proceedings of the 2025 International Conference on Big Data, Artificial Intelligence
and Digital Economy Pages 234–243 https://doi.org/10.1145/3767052.3767088 | https://dl.acm.org/doi/pdf/10.1145/3767052.3767088 | 免费 |
9 | Text-to-Image Generation for Vocabulary Learning Using theKeywordMethod | https://dl.acm.org/doi/10.1145/3708359.3712073 | Nuwan T. Attygalle; Matjaž Kljun; Aaron Quigley; Klen Čopič Pucihar; Jens Grubert; Verena Biener; Luis A. Leiva; Juri Yoneyama; Alice Toniolo; Angela Miguel; Hirokazu Kato; Maheshya Weerasinghe | The ‘keyword method’ is an effective technique for learning vocabulary of a foreign
language. It involves creating a memorable visual link between what a word means and
what its pronunciation in a foreign language sounds like in the learner’s native ... | IUI '25: Proceedings of the 30th International Conference on Intelligent User Interfaces Pages 1381–1397 https://doi.org/10.1145/3708359.3712073 | null | 免费 |
10 | KP-Agent:KeywordPruning in Sponsored Search Advertising via LLM-Powered Contextual
Bandits | https://dl.acm.org/doi/10.1145/3746252.3760974 | Hou-Wan Long; Yicheng Song; Zidong Wang; Tianshu Sun | Sponsored search advertising (SSA) requires advertisers to constantly adjust keyword
strategies. While bid adjustment and keyword generation are well-studied, keyword
pruning-refining keyword sets to enhance campaign performance-remains underexplored.
... | CIKM '25: Proceedings of the 34th ACM International Conference on Information and Knowledge
Management Pages 4991–4995 https://doi.org/10.1145/3746252.3760974 | https://dl.acm.org/doi/pdf/10.1145/3746252.3760974 | 免费 |
11 | Controllable and Diverse Image Captioning viaKeyword-Driven Diffusion Networks | https://dl.acm.org/doi/10.1145/3708657.3708748 | Mingxuan Pan; Yali Li; Simin Li; Shengjin Wang | Image captioning is the task of understanding visual elements and their relationships
in an image and expressing them in natural language. However, due to the ambiguity
in image understanding and the diversity of language expressions, current image ... | ICCIP '24: Proceedings of the 2024 10th International Conference on Communication and Information
Processing Pages 555–563 https://doi.org/10.1145/3708657.3708748 | https://dl.acm.org/doi/pdf/10.1145/3708657.3708748 | 免费 |
12 | OBIR-tree: An Efficient Oblivious Index for SpatialKeywordQueries on Secure Enclaves | https://dl.acm.org/doi/10.1145/3709708 | Zikai Ye; Xiangyu Wang; Zesen Liu; Dan Zhu; Jianfeng Ma | In recent years, the widely collected spatial-textual data has given rise to numerous
applications centered on spatial keyword queries. However, securely providing spatial
keyword query services in an outsourcing environment has been challenging. ... | Proceedings of the ACM on Management of Data (PACMMOD), Volume 3, Issue 1 Article No.: 58 , Pages 1–24 https://doi.org/10.1145/3709708 | null | 免费 |
13 | Secure and Expressive AuthorizedKeywordSearch in Cloud-Assisted Cyber-Physical Systems | https://dl.acm.org/doi/10.1145/3700838.3703669 | Kasturi Routray; Padmalochan Bera | Cloud-assisted cyber-physical systems (C-CPS) manage substantial volumes of sensitive
data, necessitating robust security measures and secure search mechanisms to protect
confidentiality and ensure efficient access to stored information. Attribute-based
... | ICDCN '25: Proceedings of the 26th International Conference on Distributed Computing and Networking Pages 390–395 https://doi.org/10.1145/3700838.3703669 | https://dl.acm.org/doi/pdf/10.1145/3700838.3703669 | 免费 |
14 | ESPRESSO: Privacy-PreservingKeywordSearch on Decentralized Data with Differential
Visibility Constraints | https://dl.acm.org/doi/10.1145/3746252.3761482 | Mohamed Ragab; Mohamed Bahrani; Helen Oliver; Thanassis Tiropanis; Alexandra Poulovassilis; Adriane Chapman; George Roussos | We present ESPRESSO, a system designed for scalable and privacy-preserving keyword
search in decentralized data cooperatives. It addresses the challenges that differential
access control (allowing different data access rights for different search parties)... | CIKM '25: Proceedings of the 34th ACM International Conference on Information and Knowledge
Management Pages 6678–6682 https://doi.org/10.1145/3746252.3761482 | https://dl.acm.org/doi/pdf/10.1145/3746252.3761482 | 免费 |
15 | Seq2Set2Seq: A Two-stage Disentangled Method for ReplyKeywordGeneration in Social
Media | https://dl.acm.org/doi/10.1145/3644074 | Jie Liu; Yaguang Li; Shizhu He; Shun Wu; Kang Liu; Shenping Liu; Jiong Wang; Qing Zhang | Social media produces large amounts of content every day. How to predict the potential
influences of the contents from a social reply feedback perspective is a key issue
that has not been explored. Thus, we propose a novel task named reply keyword ... | ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 3 Article No.: 41 , Pages 1–20 https://doi.org/10.1145/3644074 | null | 免费 |
16 | ROKSANA: An Open-Source Toolkit for Robust Graph-BasedKeywordSearch | https://dl.acm.org/doi/10.1145/3726302.3730154 | Radin Hamidi Rad; Amir Khosrojerdi; Ebrahim Bagheri | We introduce ROKSANA, an open-source Python toolkit designed to support research in
graph-based keyword search under adversarial settings. ROKSANA provides a modular
environment for dataset handling, graph neural network (GNN)-based retrieval, and
... | SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development
in Information Retrieval Pages 3994–3998 https://doi.org/10.1145/3726302.3730154 | null | 免费 |
17 | Secure Blockchain Assisted Attribute-BasedKeywordSearch for Collaborative E-Healthcare | https://dl.acm.org/doi/10.1145/3699967 | Kasturi Routray; Abhiram Manikonda; Padmalochan Bera | In the age of technological advancement, collaborative E-healthcare emerges as a transformative
system eliminating traditional location and accessibility barriers in healthcare services.
Here, Searchable Encryption (SE) plays a key role in enabling ... | Distributed Ledger Technologies: Research and Practice (DLT), Just Accepted https://doi.org/10.1145/3699967 | https://dl.acm.org/doi/pdf/10.1145/3699967 | 免费 |
18 | KeywordFusion Optimization: A Simple and Efficient Query Rewriting Framework | https://dl.acm.org/doi/10.1145/3718491.3718508 | Dong Xu; Xi Xiong; Yan Yu; Zhaorong Liu; Fei Xiong | User queries in conversational systems often rely on historical conversational context
for interpretation. Conversational query rewriting transform user queries into independent
query statements, removing contextual dependencies to clarify the user's ... | AIBDF '24: Proceedings of the 4th Asia-Pacific Artificial Intelligence and Big Data Forum Pages 90–95 https://doi.org/10.1145/3718491.3718508 | null | 免费 |
19 | Leveraging BERT and Attention Mechanism for EnhancedKeywordExtraction from Patent
Texts | https://dl.acm.org/doi/10.1145/3703935.3704077 | Dominika Grajewska; Dawid Plaskowski; Kacper Marosek | This study investigates keyword extraction from patent documents using a fine-tuned
BERT language model and its attention mechanism, comparing its performance against
three leading keyword extraction methods. With a significant increase in patent ... | AIPR '24: Proceedings of the 2024 7th International Conference on Artificial Intelligence and
Pattern Recognition Pages 1177–1184 https://doi.org/10.1145/3703935.3704077 | null | 免费 |
20 | Enriching SimpleKeywordQueries for Domain-Aware Narrative Retrieval | https://dl.acm.org/doi/10.1109/JCDL57899.2023.00029 | Hermann Kroll; Christin Katharina Kreutz; Pascal Sackhoff; Wolf-Tilo Balke | Providing effective access paths to content is a key task in digital libraries. Oftentimes,
such access paths are realized through advanced query languages, which, on the one
hand, users may find challenging to learn or use, and on the other, requires ... | JCDL '23: Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries Pages 143–154 https://doi.org/10.1109/JCDL57899.2023.00029 | null | 免费 |
21 | Content-Based Exclusion Queries inKeyword-Based Image Retrieval | https://dl.acm.org/doi/10.1145/3652583.3657619 | Eisaku Yoshikawa; Keishi Tajima | We propose a method of evaluating exclusion queries in keyword-based image retrieval.
Image retrieval based on the presence of search terms in the associated text can achieve
high precision, while its recall is often low because of the incompleteness of ... | ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval Pages 1145–1149 https://doi.org/10.1145/3652583.3657619 | null | 免费 |
22 | Eliminate Before Align: A Remote Sensing Image-Text Retrieval Framework withKeywordExplicit Reasoning | https://dl.acm.org/doi/10.1145/3664647.3681270 | Zhong Ji; Changxu Meng; Yan Zhang; Haoran Wang; Yanwei Pang; Jungong Han | Mountains of researches center around the Remote Sensing Image-Text Retrieval (RSITR),
aiming at retrieving the corresponding targets based on the given query. Among them,
the transfer of Foundation Models (FMs), such as CLIP, to remote sensing domain ... | MM '24: Proceedings of the 32nd ACM International Conference on Multimedia Pages 1662–1671 https://doi.org/10.1145/3664647.3681270 | null | 免费 |
23 | One-step Reach: LLM-basedKeywordGeneration for Sponsored Search Advertising | https://dl.acm.org/doi/10.1145/3589335.3651943 | Yang Wang; Zheyi Sha; Kunhai Lin; Chaobing Feng; Kunhong Zhu; Lipeng Wang; Xuewu Jiao; Fei Huang; Chao Ye; Dengwu He; Zhi Guo; Shuanglong Li; Lin Liu | Query keyword matching plays a crucial role in sponsored search advertising by retrieving
semantically related keywords of the user query to target relevant advertisements.
Conventional technical solutions adopt the retrieve-judge-then-rank retrieval ... | WWW '24: Companion Proceedings of the ACM Web Conference 2024 Pages 1604–1608 https://doi.org/10.1145/3589335.3651943 | null | 免费 |
24 | SpotOn: Adversarially RobustKeywordSpotting on Resource-Constrained IoT Platforms | https://dl.acm.org/doi/10.1145/3634737.3637668 | Mehreen Jabbeen; Vireshwar Kumar; Rijurekha Sen | IoT devices (e.g., voice assistants) that execute real-time speech commands are proliferating
fast in our daily lives. In such a device, detecting the correct keyword spoken as
a command triggers the supported function, and hence keyword spotting (KWS) ... | ASIA CCS '24: Proceedings of the 19th ACM Asia Conference on Computer and Communications Security Pages 684–699 https://doi.org/10.1145/3634737.3637668 | https://dl.acm.org/doi/pdf/10.1145/3634737.3637668 | 免费 |
25 | A NewsKeywordExtraction Method Considering both Semantics and Pragmatics | https://dl.acm.org/doi/10.1145/3695652.3695671 | Guangya Zhu; Yiran Du; Chenyu Wei; Yinghui Pei; Wufeng Sun | Based on pragmatics theory, this study aims to incorporate news users' information
into keyword extraction. It integrates the popularity of news keywords among users
into the TextRank model to improve the effectiveness of single-document keyword ... | IMMS '24: Proceedings of the 2024 7th International Conference on Information Management and
Management Science Pages 437–444 https://doi.org/10.1145/3695652.3695671 | null | 免费 |
26 | ContrastiveKeywordExtraction from Versioned Documents | https://dl.acm.org/doi/10.1145/3583780.3614735 | Lukas Eder; Ricardo Campos; Adam Jatowt | Versioned documents are common in many situations and play a vital part in numerous
applications enabling an overview of the revisions made to a document or document
collection. However, as documents increase in size, it gets difficult to summarize
and ... | CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge
Management Pages 5026–5030 https://doi.org/10.1145/3583780.3614735 | https://dl.acm.org/doi/pdf/10.1145/3583780.3614735 | 免费 |
27 | Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations | https://dl.acm.org/doi/10.1145/3701716.3717855 | Hai-Dang Kieu; Minh-Duc Nguyen; Thanh-Son Nguyen; Dung D. Le | Recent advancements in Large Language Models (LLMs) have shown significant potential
in enhancing recommender systems. However, addressing the cold-start recommendation
problem, where users lack historical data, remains a considerable challenge. In this
... | WWW '25: Companion Proceedings of the ACM on Web Conference 2025 Pages 2717–2721 https://doi.org/10.1145/3701716.3717855 | null | 免费 |
28 | Threshold spatialkeywordciphertext retrieval with enhanced privacy | https://dl.acm.org/doi/10.1145/3708036.3708136 | Yuanli Wei; Zhenya Chen; Ming Yang; Xin Wang; Xiaoming Wu | With the rapid development of geolocation technology and the explosive growth of data
volumes, massive spatial data has been migrated to cloud storage and processing, which
effectively alleviates the pressure on local storage and computing resources but ... | ICCSMT '24: Proceedings of the 2024 5th International Conference on Computer Science and Management
Technology Pages 586–591 https://doi.org/10.1145/3708036.3708136 | null | 免费 |
29 | An FPGA-Accelerated Approach to Direct Waveform Processing for Low-PowerKeywordSpotting | https://dl.acm.org/doi/10.1145/3700906.3700931 | Yucheng Yang; Shukai Duan; Lidan Wang | Natural language processing is typically high-power-consuming, hence we require a
gating switch to activate the natural language processing system only when needed.
The gating switch is the keyword-spotting system, which is always kept in an open
state; ... | IPMLP '24: Proceedings of the International Conference on Image Processing, Machine Learning
and Pattern Recognition Pages 157–161 https://doi.org/10.1145/3700906.3700931 | null | 免费 |
30 | Reproducibility Report for ACM SIGMOD 2024 Paper: 'Temporal JSONKeywordSearch' | https://dl.acm.org/doi/10.1145/3687998.3717048 | Chenhao Ma; Junchang Wang; Curtis Dyreson; Amani Shatnawi; Sourav S Bhowmick; Vishal Sharma | This is the reproducibility report for the paper ''Temporal JSON Keyword Search''
by Dyreson et al. The code the authors provided is available on GitHub https://github.com/cdyreson/temporalHierarchicalKeywordSearch.
We tested the code's correctness, data ... | SIGMOD '24: Reproducibility Reports of the 2024 International Conference on Management of Data Pages 10–11 https://doi.org/10.1145/3687998.3717048 | null | 免费 |
31 | Secure Fine-Grained EncryptedKeywordSearch for Internet of Things | https://dl.acm.org/doi/10.1145/3723890.3723906 | Peng Wang; Hui Wang; Fei Ouyang; Yikang Yang | With the rapid proliferation of smart devices, an unprecedented volume of sensitive
data is being collected and stored in cloud servers. For privacy reasons, this data
must remain inaccessible to unauthorized parties, and cloud providers can also not
... | CNSCT '25: Proceedings of the 2025 4th International Conference on Cryptography, Network Security
and Communication Technology Pages 93–97 https://doi.org/10.1145/3723890.3723906 | https://dl.acm.org/doi/pdf/10.1145/3723890.3723906 | 免费 |
32 | Multi-keywordSearchable Encryption Scheme with Data User Traceability and Revocation | https://dl.acm.org/doi/10.1145/3731867.3731886 | Yining Liu; Yuhong Sun; Chen Zhang; Fengyin Li; Hua Wang; Jiatao Wang | Searchable encryption is an essential technique to achieve data security and availability
in cloud computing. Attribute-based searchable encryption (ABSE) achieves fine-grained
access control of data while completing keyword retrieval. However, most ABSE ... | CIoTSC '24: Proceedings of the 2024 2nd International Conference on Computer, Internet of Things
and Smart City Pages 113–120 https://doi.org/10.1145/3731867.3731886 | https://dl.acm.org/doi/pdf/10.1145/3731867.3731886 | 免费 |
33 | Processing of Spatial-KeywordRange Queries in Apache Spark | https://dl.acm.org/doi/10.1145/3615833.3628592 | Aggelos Karabinos; Panagiotis Tampakis; Christos Doulkeridis; Akrivi Vlachou | Big spatio-textual data are prevalent in modern applications, where spatial objects
are associated with textual descriptions. For querying spatio-textual data, spatial-keyword
queries have been proposed, which entail challenges mainly because of the ... | BigSpatial '23: Proceedings of the 11th ACM SIGSPATIAL International Workshop on Analytics for Big
Geospatial Data Pages 23–31 https://doi.org/10.1145/3615833.3628592 | https://dl.acm.org/doi/pdf/10.1145/3615833.3628592 | 免费 |
34 | Indexing forKeywordSearch with Structured Constraints | https://dl.acm.org/doi/10.1145/3584372.3588663 | Shangqi Lu; Yufei Tao | Keyword search, which finds the documents containing all the keywords supplied by
a user, has proved to be an effective approach for querying non-structured information
that does not conform to any pre-set schemas. In the last two decades, a vast amount
... | PODS '23: Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database
Systems Pages 263–275 https://doi.org/10.1145/3584372.3588663 | null | 免费 |
35 | Call Me By My Name: Simple, Practical Private Information Retrieval forKeywordQueries | https://dl.acm.org/doi/10.1145/3658644.3670271 | Sofia Celi; Alex Davidson | We introduce ChalametPIR: a single-server Private Information Retrieval (PIR) scheme
supporting fast, low-bandwidth keyword queries, with a conceptually very simple design. In particular, we develop a generic
framework for converting PIR schemes for ... | CCS '24: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security Pages 4107–4121 https://doi.org/10.1145/3658644.3670271 | null | 免费 |
36 | VisualKeyword/Result Linking: Using Interaction to Dynamically Reveal Relationships | https://dl.acm.org/doi/10.1145/3627508.3638307 | Orland Hoeber; Abbas Pirmoradi Bezanjani; Sebastian Gomes; Baran Erfani; Zakiyyah Noorally; Yug Shah | Keywords contain important contextual information about search results within academic
digital library search interfaces. However, such information tends to be underutilized
within modern search interface designs. In prior work, methods for visually ... | CHIIR '24: Proceedings of the 2024 Conference on Human Information Interaction and Retrieval Pages 66–76 https://doi.org/10.1145/3627508.3638307 | null | 免费 |
37 | TE-KWS: Text-Informed Speech Enhancement for Noise-RobustKeywordSpotting | https://dl.acm.org/doi/10.1145/3581783.3612173 | Dong Liu; Qirong Mao; Lijian Gao; Qinghua Ren; Zhenghan Chen; Ming Dong | Keyword spotting (KWS) presents a formidable challenge, particularly in high-noise
environments. Traditional denoising algorithms that rely solely on speech have difficulty
recovering speech that has been severely corrupted by noise. In this ... | MM '23: Proceedings of the 31st ACM International Conference on Multimedia Pages 601–610 https://doi.org/10.1145/3581783.3612173 | null | 免费 |
38 | Useful but Distracting: Viewer Experience withKeywordHighlights and Time-Synchronization
in Captions for Language Learning | https://dl.acm.org/doi/10.1145/3701571.3701574 | Henrike Weingärtner; Maximiliane Windl; Lewis L. Chuang; Fiona Draxler | Captions are a valuable scaffold for language learners, aiding comprehension and vocabulary
acquisition. Past work has proposed enhancements such as keyword highlights for increased
learning gains. However, little is known about learners’ experience with ... | MUM '24: Proceedings of the International Conference on Mobile and Ubiquitous Multimedia Pages 235–248 https://doi.org/10.1145/3701571.3701574 | https://dl.acm.org/doi/pdf/10.1145/3701571.3701574 | 免费 |
39 | KeywordAugmented Retrieval: Novel framework for Information Retrieval integrated
with speech interface | https://dl.acm.org/doi/10.1145/3639856.3639916 | Anupam Purwar; Rahul Sundar | Retrieving answers in a quick and low cost manner without hallucinations from a combination
of structured and unstructured data using Language models is a major hurdle. This
is what prevents employment of Language models in knowledge retrieval ... | AIMLSystems '23: Proceedings of the Third International Conference on AI-ML Systems Article No.: 58 , Pages 1–5 https://doi.org/10.1145/3639856.3639916 | null | 免费 |
40 | Range Restricted Route Recommendation Based on SpatialKeyword | https://dl.acm.org/doi/10.1145/3539597.3570434 | Hongwei Tang; Detian Zhang | In this paper, we focus on a new route recommendation problem, i.e., when a user gives
a keyword and range constraint, the route that contains the maximum number of POIs
tagged with the keyword or similar POIs in the range will be returned for him. This
... | WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining Pages 213–221 https://doi.org/10.1145/3539597.3570434 | null | 免费 |
41 | Survey on SecureKeywordSearch over Outsourced Data: From Cloud to Blockchain-assisted
Architecture | https://dl.acm.org/doi/10.1145/3617824 | Haiqin Wu; Boris Düdder; Liangmin Wang; Zhenfu Cao; Jun Zhou; Xia Feng | Secure keyword search is a prevailing search service offered in outsourced environments.
However, with the increasingly severe security vulnerabilities of conventional centralized
outsourcing, the architecture of secure keyword search, with searchable ... | ACM Computing Surveys (CSUR), Volume 56, Issue 3 Article No.: 63 , Pages 1–40 https://doi.org/10.1145/3617824 | null | 免费 |
42 | WISK: A Workload-aware Learned Index for SpatialKeywordQueries | https://dl.acm.org/doi/10.1145/3589332 | Yufan Sheng; Xin Cao; Yixiang Fang; Kaiqi Zhao; Jianzhong Qi; Gao Cong; Wenjie Zhang | Spatial objects often come with textual information, such as Points of Interest (POIs)
with their descriptions, which are referred to as geo-textual data. To retrieve such
data, spatial keyword queries that take into account both spatial proximity and ... | Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 2 Article No.: 187 , Pages 1–27 https://doi.org/10.1145/3589332 | null | 免费 |
43 | Research on ChineseKeywordRecognition Based on BERT Binary Classification Algorithm | https://dl.acm.org/doi/10.1145/3662739.3673683 | Chunling Zhu; Di Wu | With the development of natural language processing technology, the text classification
method based on the BERT (Bidirectional Encoder Representations from Transformers)
model has performed well in various language tasks. This study aims to explore the
... | MIDA '24: Proceedings of the 2024 International Conference on Machine Intelligence and Digital
Applications Pages 689–695 https://doi.org/10.1145/3662739.3673683 | null | 免费 |
44 | DisKeyword: Tweet Corpora Exploration forKeywordSelection | https://dl.acm.org/doi/10.1145/3539597.3573033 | Sacha Lévy; Reihaneh Rabbany | How to accelerate the search for relevant topical keywords within a tweet corpus?
Computational social scientists conducting topical studies employ large, self-collected
or crowdsourced social media datasets such as tweet corpora. Comprehensive sets of
... | WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining Pages 1136–1139 https://doi.org/10.1145/3539597.3573033 | null | 免费 |
45 | Effectiveness Perspectives and a Deep Relevance Model for SpatialKeywordQueries | https://dl.acm.org/doi/10.1145/3588691 | Shang Liu; Gao Cong; Kaiyu Feng; Wanli Gu; Fuzheng Zhang | Geo-textual objects with both geographical location and textual description are gaining
in prevalence. Over the past decades, substantial research has been conducted on spatial
keyword queries, which integrate location into keyword-based querying of geo-... | Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 1 Article No.: 11 , Pages 1–25 https://doi.org/10.1145/3588691 | https://dl.acm.org/doi/pdf/10.1145/3588691 | 免费 |
46 | Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents | https://dl.acm.org/doi/10.1145/3594536.3595120 | Huyen Nguyen; Junhua Ding | Since state-of-the-art machine learning models like Transformers can not handle long
text well, the quality of the summarization of legal documents is still not desirable.
In order to improve the ability of machine learning models to understand the ... | ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence
and Law Pages 437–441 https://doi.org/10.1145/3594536.3595120 | https://dl.acm.org/doi/pdf/10.1145/3594536.3595120 | 免费 |
47 | AKeyword-Guided GATv2-LSTM Graph Question Answering Network | https://dl.acm.org/doi/10.1145/3652628.3652749 | Lei Wang; Tao Zuo | Most VQA models are more inclined to object recognition and learning the association
between images and text, ignoring image scene understanding and reasoning. Scene graphs,
on the other hand, as a structured graphical representation, have shown ... | ICAICE '23: Proceedings of the 4th International Conference on Artificial Intelligence and Computer
Engineering Pages 728–733 https://doi.org/10.1145/3652628.3652749 | null | 免费 |
48 | AugmentingKeyword-based Search in Mobile Applications Using LLMs | https://dl.acm.org/doi/10.1145/3616855.3635745 | Harikrishnan C; Giridhar Sreenivasa Murthy; Kumar Rangarajan | Search in mobile applications has traditionally been keyword driven and limited to
simple queries, such as searching for product names, even when the apps support much
richer, transactional experiences. On the other hand, search on the web has evolved
... | WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining Pages 1161–1162 https://doi.org/10.1145/3616855.3635745 | null | 免费 |
49 | Keyword-driven Conversational Question Generation in Human-like Dialog Agent | https://dl.acm.org/doi/10.1145/3624288.3624297 | Zheng Fang; Bo Wang | In daily human discourse, it is often observed that individuals disregard the correct
grammatical structure while articulating their ideas. Instead, they tend to focus
on brevity and providing only the essential information. Similarly, when posing ... | ICBDC '23: Proceedings of the 2023 8th International Conference on Big Data and Computing Pages 61–67 https://doi.org/10.1145/3624288.3624297 | null | 免费 |
50 | A Study of Summarization andKeywordExtraction Function in Meeting Note Generation
System from Voice Records | https://dl.acm.org/doi/10.1145/3638837.3638853 | Amma Liesvarastranta Haz; Nobuo Funabiki; Evianita Dewi Fajrianti; Sritrusta Sukaridhoto | Currently, we are studying a meeting note generation system to automatically make
a note from voice records. Previously, we implemented the first function of the system
to convert voice records to texts using the Whisper model. However, the current ... | ICNCC '23: Proceedings of the 2023 12th International Conference on Networks, Communication and
Computing Pages 106–112 https://doi.org/10.1145/3638837.3638853 | null | 免费 |
1 | Following Topics Across All Apps and Media Formats: MobileKeywordTracking as a Privacy-Friendly
Data Source in Mobile Media Research | https://dl.acm.org/doi/10.1145/3631700.3664879 | Philipp Krieter; Patrick Zerrer; Cornelius Puschmann; Stephanie Geise | Mining detailed content from mobile human-computer interactions often relies on broad
log files, which limits the specificity of analyses. Our study presents a unique approach
capitalizing on Optical Character Recognition to continuously detect keywords ... | UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization Pages 126–131 https://doi.org/10.1145/3631700.3664879 | null | 免费 |
2 | KeywordExtraction from Specification Documents for Planning Security Mechanisms | https://dl.acm.org/doi/10.1109/ICSE48619.2023.00143 | Jeffy Jahfar Poozhithara; Hazeline U. Asuncion; Brent Lagesse | Software development companies heavily invest both time and money to provide post-production
support to fix security vulnerabilities in their products. Current techniques identify
vulnerabilities from source code using static and dynamic analyses. ... | ICSE '23: Proceedings of the 45th International Conference on Software Engineering Pages 1661–1673 https://doi.org/10.1109/ICSE48619.2023.00143 | null | 免费 |
3 | KeywordExtractor for Contrastive Learning of Unsupervised Sentence Embedding | https://dl.acm.org/doi/10.1145/3578741.3578759 | Hua Cai; Weihong Chen; Kehuan Shi; Shuaishuai Li; Qing Xu | Contrastive learning has been widely applied to learning unsupervised sentence embedding.
One major method is unsupervised SimCSE, which only uses random dropouts as noise
to build positive pairs for contrastive learning. But token-level matching does ... | MLNLP '22: Proceedings of the 2022 5th International Conference on Machine Learning and Natural
Language Processing Pages 88–93 https://doi.org/10.1145/3578741.3578759 | null | 免费 |
4 | Attribute-basedkeywordsearch encryption scheme for IoT edge environment | https://dl.acm.org/doi/10.1145/3672919.3672939 | Kangjun Zhang; Lingyun Yuan; Xingwei Peng | This study is committed to solving the problem of high computational volume in the
Internet of Things environment of most current searchable encryption schemes, and
proposes a lightweight attribute-based searchable encryption scheme. Firstly, by dividing
... | CSAIDE '24: Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial
Intelligence and Digital Economy Pages 102–107 https://doi.org/10.1145/3672919.3672939 | null | 免费 |
5 | TowardKeywordGeneration through Large Language Models | https://dl.acm.org/doi/10.1145/3581754.3584126 | Wanhae Lee; Minki Chun; Hyeonhak Jeong; Hyunggu Jung | It is essential to understand research trends for researchers, decision-makers, and
investors. One way to analyze research trends is to collect and analyze author-defined
keywords in scientific papers. Unfortunately, while author-defined keywords are ... | IUI '23 Companion: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces Pages 37–40 https://doi.org/10.1145/3581754.3584126 | null | 免费 |
6 | PubMed Author-assignedKeywordExtraction (PubMedAKE) Benchmark | https://dl.acm.org/doi/10.1145/3511808.3557675 | Jiasheng Sheng; Zelalem Gero; Joyce C. Ho | With the ever-increasing abundance of biomedical articles, improving the accuracy
of keyword search results becomes crucial for ensuring reproducible research. However,
keyword extraction for biomedical articles is hard due to the existence of obscure
... | CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management Pages 4470–4474 https://doi.org/10.1145/3511808.3557675 | https://dl.acm.org/doi/pdf/10.1145/3511808.3557675 | 免费 |
7 | Few-ShotKeywordSpotting With Prototypical Networks | https://dl.acm.org/doi/10.1145/3529399.3529443 | Archit Parnami; Minwoo Lee | Recognizing a particular command or a keyword, keyword spotting has been widely used
in many voice interfaces such as Amazon’s Alexa and Google Home. In order to recognize
a set of keywords, most of the recent deep learning based approaches use a ... | ICMLT '22: Proceedings of the 2022 7th International Conference on Machine Learning Technologies Pages 277–283 https://doi.org/10.1145/3529399.3529443 | null | 免费 |
8 | RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory
Arrays for Fast and AccurateKeywordSpotting | https://dl.acm.org/doi/10.1145/3658617.3697697 | Gunil Kang; Dahoon Park; Hojin Lee; Sangwoo Jung; Jiyong Park; Jung Gyu Min; Youngjoo Lee; Jaeha Kung | In this paper, we propose a computationally efficient keyword spotting (KWS) model,
named hybrid reparameterized FSMN (HRepFSMN), by carefully examining the impact of
binarization on the accuracy. In particular, we found that binarizing depthwise ... | ASPDAC '25: Proceedings of the 30th Asia and South Pacific Design Automation Conference Pages 1174–1180 https://doi.org/10.1145/3658617.3697697 | https://dl.acm.org/doi/pdf/10.1145/3658617.3697697 | 免费 |
9 | AutomaticKeywordExtraction Algorithm for Chinese Text based on Word Clustering | https://dl.acm.org/doi/10.1145/3592793 | Rui Pan | There are some problems in automatic keyword extraction of Chinese text, such as large
feature extraction error, low precision of extracted keywords, and poor real-time
performance. Therefore, an automatic keyword extraction algorithm for Chinese text
... | ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3592793 | https://dl.acm.org/doi/pdf/10.1145/3592793 | 免费 |
10 | TheKeywordExplorer Suite: A Toolkit for Understanding Online Populations | https://dl.acm.org/doi/10.1145/3581754.3584122 | Philip G Feldman; Shimei Pan; James Foulds | We have developed a set of Python applications that use large language models to
identify and analyze data from social media platforms relevant to a population of
interest. Our pipeline begins with using OpenAI’s GPT-3 to generate potential keywords
for ... | IUI '23 Companion: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces Pages 21–24 https://doi.org/10.1145/3581754.3584122 | null | 免费 |
11 | Application of Modern Smart Distribution Network Technology Layout Based onKeywordExtraction from Science and Technology Literature | https://dl.acm.org/doi/10.1145/3695080.3695165 | Yiqing Xiao; Yong Li; Jing An | It is an important measure to promote the development of modern smart distribution
network technology to scientifically carry out the technical layout of modern smart
distribution network and fill the innovation gap in disruptive technology and forward-... | ICCBD '24: Proceedings of the 2024 International Conference on Cloud Computing and Big Data Pages 490–495 https://doi.org/10.1145/3695080.3695165 | null | 免费 |
12 | Research onKeywordAudio Mapping Library Based on Subjective Evaluation | https://dl.acm.org/doi/10.1145/3665348.3665373 | Pengchun Tang; Zepei Wang; Siqi Wang; Gareth Zhu; Jiaxin Wang; Yuanhua Lang; Wenjuan Shao; Weiming Huang; Shuang Yan | Although the subjective evaluation method is the most accurate evaluation method,
how to use the advantages of the subjective evaluation method to study a practical
research method that can meet the subjective perception of the audio mapping library
has ... | GAIIS '24: Proceedings of the 2024 International Conference on Generative Artificial Intelligence
and Information Security Pages 138–143 https://doi.org/10.1145/3665348.3665373 | null | 免费 |
13 | KeywordSpotting in the Homomorphic Encrypted Domain Using Deep Complex-Valued CNN | https://dl.acm.org/doi/10.1145/3503161.3548350 | Peijia Zheng; Zhiwei Cai; Huicong Zeng; Jiwu Huang | In this paper, we propose a non-interactive scheme to achieve end-to-end keyword spotting
in the homomorphic encrypted domain using deep learning techniques. We carefully designed
a complex-valued convolutional neural network (CNN) structure for the ... | MM '22: Proceedings of the 30th ACM International Conference on Multimedia Pages 1474–1483 https://doi.org/10.1145/3503161.3548350 | null | 免费 |
14 | Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and
Transformer | https://dl.acm.org/doi/10.1145/3539618.3591705 | Minyi Zhao; Jinpeng Wang; Dongliang Liao; Yiru Wang; Huanzhong Duan; Shuigeng Zhou | In addition to relevance, diversity is an important yet less studied performance metric
of cross-modal image retrieval systems, which is critical to user experience. Existing
solutions for diversity-aware image retrieval either explicitly post-process ... | SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development
in Information Retrieval Pages 1262–1272 https://doi.org/10.1145/3539618.3591705 | null | 免费 |
15 | A LightweightKeywordExtraction Algorithm Using a Term Weighting Scheme with Word
Features | https://dl.acm.org/doi/10.1145/3587716.3587972 | Santipong Thaiprayoon; Herwig Unger | The rapid growth of numerous collections of unstructured text increases the need
to extract meaningful information. This paper proposes a new lightweight keyword extraction
algorithm based on a term weighting scheme with multiple word features, ... | ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and Computing Pages 602–606 https://doi.org/10.1145/3587716.3587972 | null | 免费 |
16 | IKEA: Unsupervised Domain-SpecificKeyword-Expansion | https://dl.acm.org/doi/10.1109/ASONAM55673.2022.10068656 | Joobin Gharibshah; Jakapun Tachaiya; Arman Irani; Evangelos E. Papalexakis; Michalis Faloutsos | How can we expand an initial set of keywords with a target domain in mind? A possible
application is to use the expanded set of words to search for specific information
within the domain of interest. Here, we focus on online forums and specifically ... | ASONAM '22: Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks
Analysis and Mining Pages 496–503 https://doi.org/10.1109/ASONAM55673.2022.10068656 | null | 免费 |
17 | Low-Power Feature-Attention ChineseKeywordSpotting Framework with Distillation Learning | https://dl.acm.org/doi/10.1145/3558002 | Lei Lei; Guoshun Yuan; Tianle Zhang; Hongjiang Yu | In this paper, we propose a novel Low-Power Feature-Attention Chinese Keyword Spotting
Framework based on a depthwise separable convolution neural network (DSCNN) with distillation learning to recognize speech signals of Chinese wake-up words.
The ... | ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 22, Issue 2 Article No.: 56 , Pages 1–14 https://doi.org/10.1145/3558002 | https://dl.acm.org/doi/pdf/10.1145/3558002 | 免费 |
18 | Public-key Authenticated Encryption withKeywordSearch | https://dl.acm.org/doi/10.1145/3488932.3497760 | Zi-Yuan Liu; Yi-Fan Tseng; Raylin Tso; Masahiro Mambo; Yu-Chi Chen | With the rapid development of cloud computing, an increasing number of companies are
adopting cloud storage technology to reduce overhead. However, to ensure the privacy
of sensitive data, the uploaded data need to be encrypted before being outsourced
to ... | ASIA CCS '22: Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security Pages 423–436 https://doi.org/10.1145/3488932.3497760 | null | 免费 |
19 | Almost Linear Semantic XMLKeywordSearch | https://dl.acm.org/doi/10.1145/3444757.3485079 | Joe Tekli; Gilbert Tekli; Richard Chbeir | Many efforts have been deployed by the IR community to extend free-text query processing
toward semi-structured XML search. Most methods rely on the concept of Lowest Comment
Ancestor (LCA) between two or multiple structural nodes to identify the most ... | MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems Pages 129–138 https://doi.org/10.1145/3444757.3485079 | null | 免费 |
20 | Implementation of Domain Adaptation forKeywordDetermination of Scientific Articles
Based on Multilabel BERT | https://dl.acm.org/doi/10.1145/3626641.3626927 | Sulthan Rafif; Rizal Setya Perdana | Keywords that are not properly determined make scientific articles unreachable by
readers. The process of determining keywords done manually can cause errors and can
waste time. To automate the determination of keywords can be done by using ... | SIET '23: Proceedings of the 8th International Conference on Sustainable Information Engineering
and Technology Pages 173–180 https://doi.org/10.1145/3626641.3626927 | null | 免费 |
21 | A Confusion Method for the Protection of User Topic Privacy in ChineseKeyword-based
Book Retrieval | https://dl.acm.org/doi/10.1145/3571731 | Zongda Wu; Jian Xie; Shigen Shen; Chongze Lin; Guandong Xu; Enhong Chen | In this article, aiming at a Chinese keyword-based book search service, from a technological
perspective, we propose to modify a user query sequence carefully to confuse the user
query topics and thus protect the user topic privacy on the untrusted server,... | ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 22, Issue 5 Article No.: 146 , Pages 1–19 https://doi.org/10.1145/3571731 | null | 免费 |
22 | Domain-SpecificKeywordExtraction Using Joint Modeling of Local and Global Contextual
Semantics | https://dl.acm.org/doi/10.1145/3494560 | Muhammad Abulaish; Mohd Fazil; Mohammed J. Zaki | Domain-specific keyword extraction is a vital task in the field of text mining. There
are various research tasks, such as spam e-mail classification, abusive language detection,
sentiment analysis, and emotion mining, where a set of domain-specific ... | ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 16, Issue 4 Article No.: 70 , Pages 1–30 https://doi.org/10.1145/3494560 | null | 免费 |
23 | Time-Constrained IndoorKeyword-aware Routing | https://dl.acm.org/doi/10.1145/3469830.3470895 | Harry Kai-Ho Chan; Tiantian Liu; Huan Li; Hua Lu | With the increasingly available indoor positioning technologies, indoor location-based
services (LBS) are becoming popular. Among indoor LBS applications, indoor routing
is particularly in demand. In the literature, there are several existing studies ... | SSTD '21: Proceedings of the 17th International Symposium on Spatial and Temporal Databases Pages 74–84 https://doi.org/10.1145/3469830.3470895 | null | 免费 |
24 | KeywordDriven Language-Independent Low-Resource Graph-Based Automatic Text Summarization
of Konkani Texts | https://dl.acm.org/doi/10.1145/3632754.3632758 | Chaitali More; Jovi D'Silva | Automatic text summarization has been widely researched for the most popularly spoken
languages. There is a need to extend research to other less popular and low-resource
languages as well. We explore automatic text summarization for Konkani language. It
... | FIRE '23: Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation Pages 51–57 https://doi.org/10.1145/3632754.3632758 | null | 免费 |
25 | "\"Peak\" Quantization: A Training Method Suitable for Terminal Equipment to DeployKeywordSpotting Network" | https://dl.acm.org/doi/10.1145/3652628.3652788 | Xiaomeng Luo; Guangcun Wei; Yuhao Liu; Xiaotao Jia; Xinghua Yang; Junlin Li; Qi Wei; Fei Qiao | In order to reduce the storage space occupied by the well-trained Keyword Spotting
(KWS) network model during deployment on terminal devices while maintaining the recognition
accuracy of the model as much as possible, a new method of 'peak' quantization ... | ICAICE '23: Proceedings of the 4th International Conference on Artificial Intelligence and Computer
Engineering Pages 963–968 https://doi.org/10.1145/3652628.3652788 | null | 免费 |
26 | Generic Construction of Public-key Authenticated Encryption withKeywordSearch Revisited | https://dl.acm.org/doi/10.1145/3494105.3526237 | Keita Emura | Public-key encryption with keyword search (PEKS) does not provide trapdoor privacy,
i.e., keyword information is leaked through trapdoors. To prevent this information
leakage, public key authenticated encryption with keyword search (PAEKS) has been
... | APKC '22: Proceedings of the 9th ACM on ASIA Public-Key Cryptography Workshop Pages 39–49 https://doi.org/10.1145/3494105.3526237 | null | 免费 |
27 | KeYric: UnsupervisedKeywordsExtraction and Expansion from Music for Coherent Lyrics
Generation | https://dl.acm.org/doi/10.1145/3699717 | Xichu Ma; Varun Sharma; Min-Yen Kan; Wee Sun Lee; Ye Wang | We address the challenge of enhancing coherence in generated lyrics from symbolic
music, particularly for creating singing-based language learning materials. Coherence,
defined as the quality of being logical and consistent, forming a unified whole, is
... | ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 21, Issue 1 Article No.: 28 , Pages 1–28 https://doi.org/10.1145/3699717 | https://dl.acm.org/doi/pdf/10.1145/3699717 | 免费 |
28 | Heterogeneous Graph Neural Networks for Large-Scale BidKeywordMatching | https://dl.acm.org/doi/10.1145/3459637.3481926 | Zongtao Liu; Bin Ma; Quan Liu; Jian Xu; Bo Zheng | Digital advertising is a critical part of many e-commerce platforms such as Taobao
and Amazon. While in recent years a lot of attention has been drawn to the consumer
side including canonical problems like ctr/cvr prediction, the advertiser side, which
... | CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management Pages 3976–3985 https://doi.org/10.1145/3459637.3481926 | null | 免费 |
29 | Research on Normalization of Chinese Clinical Terms Based onKeywordExtraction and
Data Augmentation Technology | https://dl.acm.org/doi/10.1145/3644116.3644334 | Ruiyu Dai; Xu Zhang; Feihong Li; Chenlong Li | Electronic Medical Records (EMRs) house critical patient information with immense
mining potential. Conventional methods for normalizing clinical terms in EMRs encounter
challenges related to accurate term matching and textual entailment scoring. To ... | ISAIMS '23: Proceedings of the 2023 4th International Symposium on Artificial Intelligence for
Medicine Science Pages 1291–1298 https://doi.org/10.1145/3644116.3644334 | null | 免费 |
30 | Multilingual CustomizedKeywordSpotting Using Similar-Pair Contrastive Learning | https://dl.acm.org/doi/10.1109/TASLP.2023.3284523 | Lei Lei; Guoshun Yuan; Hongjiang Yu; Dewei Kong; Yuefeng He | The goal of keyword spotting (KWS) is to find words and voice commands. KWS research
has received a lot of attention recently. However, the majority of them emphasize
predefined KWS. More often than not, customers wish to choose individualized unique
... | IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 31 Pages 2437–2447 https://doi.org/10.1109/TASLP.2023.3284523 | null | 免费 |
31 | Social Spatio-temporalKeywordPattern (S²KP) Queries in Multiple Aspect Trajectories
Databases | https://dl.acm.org/doi/10.1145/3538712.3538716 | Fragkiskos Gryllakis; Nikos Pelekis; Christos Doulkeridis; Iraklis Varlamis; Yannis Theodoridis | The increasing use of devices with GPS capabilities has raised the need for storing
and managing large amounts of spatio-temporal data, which can then be used by appropriate
services and applications for extracting useful information from movement data. ... | SSDBM '22: Proceedings of the 34th International Conference on Scientific and Statistical Database
Management Article No.: 8 , Pages 1–12 https://doi.org/10.1145/3538712.3538716 | null | 免费 |
32 | A Novel Indexing Method for Spatial-KeywordRange Queries | https://dl.acm.org/doi/10.1145/3469830.3470897 | Panagiotis Tampakis; Dimitris Spyrellis; Christos Doulkeridis; Nikos Pelekis; Christos Kalyvas; Akrivi Vlachou | Spatial-keyword queries are important for a wide range of applications that retrieve
data based on a combination of keyword search and spatial constraints. However, efficient
processing of spatial-keyword queries is not a trivial task because the ... | SSTD '21: Proceedings of the 17th International Symposium on Spatial and Temporal Databases Pages 54–63 https://doi.org/10.1145/3469830.3470897 | null | 免费 |
33 | Efficient Authentication Processing for SpatialKeywordQueries in Hybrid Storage
Blockchain | https://dl.acm.org/doi/10.1145/3532640.3532644 | Xu Wang; Zhiwei Zhang; Xiaochun Yang; Guoren Wang; Aoqian Zhang; George Yuan | Blockchain technology has emerged as a promising solution for secure data storage
and retrieval for decentralized applications. To scale up the blockchain services,
a common approach is to employ a hybrid storage architecture, where only meta-data
are ... | ICBCT '22: Proceedings of the 2022 4th International Conference on Blockchain Technology Pages 22–30 https://doi.org/10.1145/3532640.3532644 | null | 免费 |
34 | KeywordAssisted Embedded Topic Model | https://dl.acm.org/doi/10.1145/3488560.3498518 | Bahareh Harandizadeh; J. Hunter Priniski; Fred Morstatter | By illuminating latent structures in a corpus of text, topic models are an essential
tool for categorizing, summarizing, and exploring large collections of documents.
Probabilistic topic models, such as latent Dirichlet allocation (LDA), describe how
... | WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining Pages 372–380 https://doi.org/10.1145/3488560.3498518 | https://dl.acm.org/doi/pdf/10.1145/3488560.3498518 | 免费 |
35 | Scenickeywordcrawling prediction analysis model based on Python technology | https://dl.acm.org/doi/10.1145/3584748.3584791 | Ying Ning | With the rapid development of the Internet and the advent of the era of big data,
data mining has played an important role in exploring potential value information
from massive data, and has become one of the current popular research and practice
... | EBIMCS '22: Proceedings of the 2022 5th International Conference on E-Business, Information Management
and Computer Science Pages 254–258 https://doi.org/10.1145/3584748.3584791 | null | 免费 |
36 | Unsupervised Derivation ofKeywordSummary for Short Texts | https://dl.acm.org/doi/10.1145/3397162 | Bin Cao; Jiawei Wu; Sichao Wang; Honghao Gao; Jing Fan; Shuiguang Deng; Jianwei Yin; Xuan Liu | Automatically summarizing a group of short texts that mainly share one topic is a
fundamental task in many applications, e.g., summarizing the main symptoms for a disease
based on a group of medical texts that are usually short, i.e., tens of words. ... | ACM Transactions on Internet Technology (TOIT), Volume 21, Issue 2 Article No.: 45 , Pages 1–23 https://doi.org/10.1145/3397162 | null | 免费 |
37 | Task: An Efficient Framework for Instant Error-Tolerant SpatialKeywordQueries on
Road Networks | https://dl.acm.org/doi/10.14778/3603581.3603584 | Chengyang Luo; Qing Liu; Yunjun Gao; Lu Chen; Ziheng Wei; Congcong Ge | Instant spatial keyword queries return the results as soon as users type in some characters
instead of a complete keyword, which allow users to query the geo-textual data in
a type-as-you-search manner. However, the existing methods of instant spatial ... | Proceedings of the VLDB Endowment (PVLDB), Volume 16, Issue 10 Pages 2418–2430 https://doi.org/10.14778/3603581.3603584 | null | 免费 |
38 | MK-RS-PKE: Multi-KeywordRanked Searchable Public-Key Encryption for Cloud-Assisted
Lightweight Platforms | https://dl.acm.org/doi/10.1145/3508398.3519362 | Israt Jahan Mouri; Muhammad Ridowan; Muhammad Abdullah Adnan | Since more and more data from lightweight platforms like IoT devices or mobile apps
are being outsourced to the cloud, the need to ensure privacy while retaining data
usability is essential. This paper designs a framework where lightweight platforms
... | CODASPY '22: Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy Pages 376–378 https://doi.org/10.1145/3508398.3519362 | null | 免费 |
39 | End-to-End Open VocabularyKeywordSearch With Multilingual Neural Representations | https://dl.acm.org/doi/10.1109/TASLP.2023.3301239 | Bolaji Yusuf; Jan Černocký; Murat Saraçlar | Conventional keyword search systems operate on automatic speech recognition (ASR)
outputs, which causes them to have a complex indexing and search pipeline. This has
led to interest in ASR-free approaches to simplify the search procedure. We recently
... | IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 31 Pages 3070–3080 https://doi.org/10.1109/TASLP.2023.3301239 | null | 免费 |
40 | DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective
SpatialKeywords | https://dl.acm.org/doi/10.1145/3746252.3761331 | Jiajia Li; Jiming Dong; Lei Li; Yu Yang; Xin Wang; Mengxuan Zhang | Given a source, destination, and required keywords, the Optimal Route with Collective Spatial Keywords ( ORCSK ) query aims to find the shortest route covering all keywords. Existing Point of
Interest (POI) candidate set-based and path expansion-based ... | CIKM '25: Proceedings of the 34th ACM International Conference on Information and Knowledge
Management Pages 1562–1571 https://doi.org/10.1145/3746252.3761331 | https://dl.acm.org/doi/pdf/10.1145/3746252.3761331 | 免费 |
41 | TextKeywordExtraction Method Combined with Dependent Syntax Analysis | https://dl.acm.org/doi/10.1145/3548608.3559232 | Yongrui Li; Hongyun Ning | In order to improve the accuracy of key word extraction, an improved TF-IDF method
was proposed to solve the problems that traditional TF-IDF keyword extraction algorithm
could not recognize new words and polysemous words. This method first TF - IDF ... | ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics Pages 411–415 https://doi.org/10.1145/3548608.3559232 | null | 免费 |
42 | Proportionality in SpatialKeywordSearch | https://dl.acm.org/doi/10.1145/3448016.3457309 | Georgios Kalamatianos; Georgios J. Fakas; Nikos Mamoulis | More often than not, spatial objects are associated with some context, in the form
of text, descriptive tags (e.g. points of interest, flickr photos), or linked entities
in semantic graphs (e.g. Yago2, DBpedia). Hence, location-based retrieval should be
... | SIGMOD '21: Proceedings of the 2021 International Conference on Management of Data Pages 885–897 https://doi.org/10.1145/3448016.3457309 | null | 免费 |
43 | Keyword-aware Multi-modal Enhancement Attention for Video Question Answering | https://dl.acm.org/doi/10.1145/3507548.3507567 | Duo Chen; Fuwei Zhang; Shirou Ou; Ruomei Wang | Video question answering (VideoQA) is an intriguing topic in the field of visual language.
Most of the current VideoQA models directly harness the global video information to
answer questions. However, in VideoQA task, the answers associated with the ... | CSAI '21: Proceedings of the 2021 5th International Conference on Computer Science and Artificial
Intelligence Pages 128–133 https://doi.org/10.1145/3507548.3507567 | null | 免费 |
44 | Call For Help Detection In Emergent Situations UsingKeywordSpotting And Paralinguistic
Analysis | https://dl.acm.org/doi/10.1145/3461615.3491111 | Huangrui Chu; Yechen Wang; Ran Ju; Yan Jia; Haoxu Wang; Ming Li; Qi Deng | Nowadays, the safety of passengers within the enclosed public space, such as the
elevator, becomes more and more important. Though the passengers can click the ”SOS”
button to call the remote safety guard, the chances are that some passengers might
... | ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction Pages 104–111 https://doi.org/10.1145/3461615.3491111 | null | 免费 |
45 | Efficient forward secure searchable encryption supporting multi-keywordquery | https://dl.acm.org/doi/10.1145/3448734.3450464 | Jianwei Li; Qingqing Gan; Xiaoming Wang; Fengling Wang | Searchable encryption (SE) allows client to outsource personal data to an untrusted
server while protecting the data privacy, which is widely used by corporations and
individuals. Recently, many works show that forward privacy is the fundamental ... | CONF-CDS 2021: The 2nd International Conference on Computing and Data Science Article No.: 12 , Pages 1–9 https://doi.org/10.1145/3448734.3450464 | null | 免费 |
46 | Reasoning about Human-Friendly Strategies in RepeatedKeywordAuctions | https://dl.acm.org/doi/10.5555/3535850.3535859 | Francesco Belardinelli; Wojtek Jamroga; Vadim Malvone; Munyque Mittelmann; Aniello Murano; Laurent Perrussel | In online advertising, search engines sell ad placements for keywords continuously
through auctions. This problem can be seen as an infinitely repeated game since the
auction is executed whenever a user performs a query with the keyword. As advertisers
... | AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent
Systems Pages 62–71 | null | 免费 |
47 | Research on ExtractingKeywordsfrom Agglutinative Languages Based on Stem Units | https://dl.acm.org/doi/10.1145/3712623.3712642 | Guzailinuer Yiming; Nuerjiamali Sayiti; Le Wang; Han Kong | Uyghur and Kazakh are typical agglutinative languages. Semantic and syntactic lexicons
are derived from stems or roots by adding affixes. A keyword in a sentence can be
the notional particles which are the semantic stems. The stems in derivative lexicons
... | AAIA '24: Proceedings of the 2024 2nd International Conference on Advances in Artificial Intelligence
and Applications Pages 119–124 https://doi.org/10.1145/3712623.3712642 | null | 免费 |
48 | Hardware Acceleration for EmbeddedKeywordSpotting: Tutorial and Survey | https://dl.acm.org/doi/10.1145/3474365 | J. S. P. Giraldo; Marian Verhelst | In recent years, Keyword Spotting (KWS) has become a crucial human–machine interface
for mobile devices, allowing users to interact more naturally with their gadgets by
leveraging their own voice. Due to privacy, latency and energy requirements, the ... | ACM Transactions on Embedded Computing Systems (TECS), Volume 20, Issue 6 Article No.: 111 , Pages 1–25 https://doi.org/10.1145/3474365 | null | 免费 |
49 | Efficient Computation of Semantically Cohesive Subgraphs forKeyword-Based Knowledge
Graph Exploration | https://dl.acm.org/doi/10.1145/3442381.3449900 | Yuxuan Shi; Gong Cheng; Trung-Kien Tran; Evgeny Kharlamov; Yulin Shen | A knowledge graph (KG) represents a set of entities and their relations. To explore
the content of a large and complex KG, a convenient way is keyword-based querying.
Traditional methods assign small weights to salient entities or relations, and answer
... | WWW '21: Proceedings of the Web Conference 2021 Pages 1410–1421 https://doi.org/10.1145/3442381.3449900 | null | 免费 |
50 | Hypertext’s meta-history: Documenting in-conference citations, authors andkeyworddata, 1987-2021 | https://dl.acm.org/doi/10.1145/3511095.3531271 | Mark W. R. Anderson; David Millard | Conferences such as ACM Hypertext have been running for many decades and the metadata
on their collected publications represent a valuable scholarly meta-history on areas
such as the community’s health, diversity, and changing interests. But the ... | HT '22: Proceedings of the 33rd ACM Conference on Hypertext and Social Media Pages 96–106 https://doi.org/10.1145/3511095.3531271 | null | 免费 |
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