prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the KGNN-LS model in the Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems paper on the Last.FM dataset? | HR@10, NDCG@20, Recall@10, Recall@100, Recall@2, Recall@20, Recall@50, nDCG@10 |
What metrics were used to measure the SSCF model in the Sapling Similarity: a performing and interpretable memory-based tool for recommendation paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the BSPM-LM model in the Blurring-Sharpening Process Models for Collaborative Filtering paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the BSPM-EM model in the Blurring-Sharpening Process Models for Collaborative Filtering paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the UltraGCN model in the UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the SimpleX model in the SimpleX: A Simple and Strong Baseline for Collaborative Filtering paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the LT-OCF model in the LT-OCF: Learnable-Time ODE-based Collaborative Filtering paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the LightGCN model in the LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the NGCF model in the Neural Graph Collaborative Filtering paper on the Amazon-Book dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the RATE-CSE model in the Collaborative Similarity Embedding for Recommender Systems paper on the CiteULike dataset? | Recall@10, mAP@10 |
What metrics were used to measure the TransCF model in the Collaborative Translational Metric Learning paper on the Amazon C&A dataset? | Hits@10, Hits@20, nDCG@10, nDCG@20 |
What metrics were used to measure the TransCF model in the Collaborative Translational Metric Learning paper on the Tradesy dataset? | Hits@10, Hits@20, nDCG@10, nDCG@20 |
What metrics were used to measure the HGN model in the Hierarchical Gating Networks for Sequential Recommendation paper on the GoodReads-Children dataset? | Recall@10, nDCG@10 |
What metrics were used to measure the CFM model in the Predicting ratings in multi-criteria recommender systems via a collective factor model paper on the BeerAdvocate dataset? | MAE, RMSE |
What metrics were used to measure the CARCA model in the CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention paper on the Amazon Fashion dataset? | nDCG@10 (500 Neg. Samples), AUC, nDCG@10 (100 Neg. Samples), HitRatio@ 10 (100 Neg. Samples) |
What metrics were used to measure the SAERS model in the Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach paper on the Amazon Fashion dataset? | nDCG@10 (500 Neg. Samples), AUC, nDCG@10 (100 Neg. Samples), HitRatio@ 10 (100 Neg. Samples) |
What metrics were used to measure the KTUP (soft) model in the Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences paper on the DBbook2014 dataset? | HR@10, NDCG, nDCG@10 |
What metrics were used to measure the Ekar* model in the Ekar: An Explainable Method for Knowledge Aware Recommendation paper on the DBbook2014 dataset? | HR@10, NDCG, nDCG@10 |
What metrics were used to measure the TransCF model in the Collaborative Translational Metric Learning paper on the Pinterest dataset? | nDCG@10, Hits@10, Hits@20, nDCG@20 |
What metrics were used to measure the HGN model in the Hierarchical Gating Networks for Sequential Recommendation paper on the Amazon-CDs dataset? | Recall@10, nDCG@10 |
What metrics were used to measure the Multi-Gradient Descent model in the Multi-Gradient Descent for Multi-Objective Recommender Systems paper on the Amazon Books dataset? | Recall@20 |
What metrics were used to measure the LT-OCF model in the LT-OCF: Learnable-Time ODE-based Collaborative Filtering paper on the Amazon-book dataset? | Recall@20 |
What metrics were used to measure the BSPM-EM model in the Blurring-Sharpening Process Models for Collaborative Filtering paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the BSPM-LM model in the Blurring-Sharpening Process Models for Collaborative Filtering paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the LT-OCF model in the LT-OCF: Learnable-Time ODE-based Collaborative Filtering paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the SimpleX model in the SimpleX: A Simple and Strong Baseline for Collaborative Filtering paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the UltraGCN model in the UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the LightGCN model in the LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the SSCF model in the Sapling Similarity: a performing and interpretable memory-based tool for recommendation paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the NGCF model in the Neural Graph Collaborative Filtering paper on the Gowalla dataset? | Recall@20, nDCG@20 |
What metrics were used to measure the TLSAN model in the TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation paper on the Amazon Product Data dataset? | AUC, F1 |
What metrics were used to measure the SLi-Rec model in the Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation paper on the Amazon Product Data dataset? | AUC, F1 |
What metrics were used to measure the INN model in the Interaction-aware Factorization Machines for Recommender Systems paper on the Frappe dataset? | RMSE, Recall@10, mAP@10 |
What metrics were used to measure the RATE-CSE model in the Collaborative Similarity Embedding for Recommender Systems paper on the Frappe dataset? | RMSE, Recall@10, mAP@10 |
What metrics were used to measure the SASRec model in the Self-Attentive Sequential Recommendation paper on the Steam dataset? | Hit@10, nDCG@10 |
What metrics were used to measure the RANK-CSE model in the Collaborative Similarity Embedding for Recommender Systems paper on the Epinions-Extend dataset? | Recall@10, mAP@10 |
What metrics were used to measure the Bayesian timeSVD++ flipped model in the On the Difficulty of Evaluating Baselines: A Study on Recommender Systems paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the Bayesian timeSVD++ model in the On the Difficulty of Evaluating Baselines: A Study on Recommender Systems paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the Bayesian SVD++ model in the On the Difficulty of Evaluating Baselines: A Study on Recommender Systems paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the MRMA model in the Mixture-Rank Matrix Approximation for Collaborative Filtering paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the Sparse FC model in the Kernelized Synaptic Weight Matrices paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the CF-NADE model in the A Neural Autoregressive Approach to Collaborative Filtering paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the SGD MF model in the On the Difficulty of Evaluating Baselines: A Study on Recommender Systems paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the I-CFN model in the Hybrid Recommender System based on Autoencoders paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the GC-MC model in the Graph Convolutional Matrix Completion paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the I-AutoRec model in the AutoRec: Autoencoders Meet Collaborative Filtering paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the U-CFN model in the Hybrid Recommender System based on Autoencoders paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the Factorization with dictionary learning model in the Dictionary Learning for Massive Matrix Factorization paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the U-RBM model in the On the Difficulty of Evaluating Baselines: A Study on Recommender Systems paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the scaled-CER model in the The complementarity of a diverse range of deep learning features extracted from video content for video recommendation paper on the MovieLens 10M dataset? | RMSE, MAP@15, MAP@30, MAP@5, NDCG@15, NDCG@30, NDCG@5 |
What metrics were used to measure the HAKG model in the HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation paper on the Alibaba-iFashion dataset? | NDCG@20, Recall@20 |
What metrics were used to measure the GLocal-K model in the GLocal-K: Global and Local Kernels for Recommender Systems paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the IGMC model in the Inductive Matrix Completion Based on Graph Neural Networks paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the MG-GAT model in the Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the GRAEM / KPMF model in the Scalable Probabilistic Matrix Factorization with Graph-Based Priors paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the GC-MC model in the Graph Convolutional Matrix Completion paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the Factorized EAE model in the Deep Models of Interactions Across Sets paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the sRGCNN model in the Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the GRALS model in the Collaborative Filtering with Graph Information: Consistency and Scalable Methods paper on the Douban Monti dataset? | RMSE |
What metrics were used to measure the DANSER model in the Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems paper on the WeChat dataset? | AUC, P@10 |
What metrics were used to measure the NSCR (Wang et al., 2017) model in the Item Silk Road: Recommending Items from Information Domains to Social Users paper on the WeChat dataset? | AUC, P@10 |
What metrics were used to measure the GLocal-K model in the GLocal-K: Global and Local Kernels for Recommender Systems paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the Sparse FC model in the Kernelized Synaptic Weight Matrices paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the CF-NADE model in the A Neural Autoregressive Approach to Collaborative Filtering paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the IMC-GAE model in the Inductive Matrix Completion Using Graph Autoencoder paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the I-AutoRec model in the AutoRec: Autoencoders Meet Collaborative Filtering paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the GC-MC model in the Graph Convolutional Matrix Completion paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the I-CFN model in the Hybrid Recommender System based on Autoencoders paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the BST model in the Behavior Sequence Transformer for E-commerce Recommendation in Alibaba paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the NNMF model in the Neural Network Matrix Factorization paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the IGMC model in the Inductive Matrix Completion Based on Graph Neural Networks paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the U-CFN model in the Hybrid Recommender System based on Autoencoders paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the Factorized EAE model in the Deep Models of Interactions Across Sets paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the Factorization with dictionary learning model in the Dictionary Learning for Massive Matrix Factorization paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the SSE-PT model in the SSE-PT: Sequential Recommendation Via Personalized Transformer paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the SASRec model in the Self-Attentive Sequential Recommendation paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the HyperML model in the HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the LRML model in the Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the CML model in the Collaborative Metric Learning paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the Ekar* model in the Ekar: An Explainable Method for Knowledge Aware Recommendation paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the ∞-AE model in the Infinite Recommendation Networks: A Data-Centric Approach paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the KTUP (soft) model in the Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the GHRS model in the GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the Context-Aware Pipeline model in the Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the SVAE model in the Sequential Variational Autoencoders for Collaborative Filtering paper on the MovieLens 1M dataset? | RMSE, nDCG@10, HR@10, NDCG, Precision, Recall, nDCG@100, AUC, HR@100, PSP@10 |
What metrics were used to measure the CARCA model in the CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention paper on the Amazon Beauty dataset? | Hit@10, nDCG@10 |
What metrics were used to measure the SSE-PT model in the SSE-PT: Sequential Recommendation Via Personalized Transformer paper on the Amazon Beauty dataset? | Hit@10, nDCG@10 |
What metrics were used to measure the SASRec model in the Self-Attentive Sequential Recommendation paper on the Amazon Beauty dataset? | Hit@10, nDCG@10 |
What metrics were used to measure the SASRec model in the An Image Dataset for Benchmarking Recommender Systems with Raw Pixels paper on the PixelRec dataset? | Hit@10 |
What metrics were used to measure the CARCA model in the CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention paper on the Amazon Games dataset? | Hit@10, nDCG@10, AUC |
What metrics were used to measure the SSE-PT model in the SSE-PT: Sequential Recommendation Via Personalized Transformer paper on the Amazon Games dataset? | Hit@10, nDCG@10, AUC |
What metrics were used to measure the SASRec model in the Self-Attentive Sequential Recommendation paper on the Amazon Games dataset? | Hit@10, nDCG@10, AUC |
What metrics were used to measure the TLSAN model in the TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation paper on the Amazon Games dataset? | Hit@10, nDCG@10, AUC |
What metrics were used to measure the GRALS model in the Collaborative Filtering with Graph Information: Consistency and Scalable Methods paper on the Flixster dataset? | RMSE, Hits@10, Hits@20, nDCG@10, nDCG@20 |
What metrics were used to measure the TransCF model in the Collaborative Translational Metric Learning paper on the Flixster dataset? | RMSE, Hits@10, Hits@20, nDCG@10, nDCG@20 |
What metrics were used to measure the GRALS model in the Scalable Probabilistic Matrix Factorization with Graph-Based Priors paper on the YahooMusic dataset? | RMSE |
What metrics were used to measure the GRAEM model in the Scalable Probabilistic Matrix Factorization with Graph-Based Priors paper on the YahooMusic dataset? | RMSE |
What metrics were used to measure the GRALS model in the Collaborative Filtering with Graph Information: Consistency and Scalable Methods paper on the YahooMusic dataset? | RMSE |
What metrics were used to measure the Fashion GAE model in the Context-Aware Visual Compatibility Prediction paper on the Polyvore dataset? | AUC, Accuracy |
What metrics were used to measure the Visual Representation Learning (Semi-Supervised) model in the Semi-Supervised Visual Representation Learning for Fashion Compatibility paper on the Polyvore dataset? | AUC, Accuracy |
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