Hugging Face
Models
Datasets
Spaces
Community
Docs
Enterprise
Pricing
Log In
Sign Up
Spaces:
ymlin105
/
book-rec-with-LLMs
like
0
Sleeping
App
Files
Files
Community
Fetching metadata from the HF Docker repository...
main
book-rec-with-LLMs
/
src
365 kB
2 contributors
History:
21 commits
ymlin105
chore: remove obsolete files and update project structure
6ad997d
10 days ago
agentic
chore: remove obsolete files and update project structure
10 days ago
api
chore: remove obsolete files and update project structure
10 days ago
app
chore: remove obsolete files and update project structure
10 days ago
core
chore: remove obsolete files and update project structure
10 days ago
data
chore: remove obsolete files and update project structure
10 days ago
data_factory
chore: remove obsolete files and update project structure
10 days ago
marketing
chore: remove obsolete files and update project structure
10 days ago
model
feat(v2.5): ItemCF direction weight, Swing recall, LGBMRanker
11 days ago
recsys
chore: remove obsolete files and update project structure
10 days ago
services
chore: remove obsolete files and update project structure
10 days ago
zero_shot
feat: add real-time book cover fetching and client-server architecture
11 days ago
__init__.py
Safe
0 Bytes
feat: implement book recommender with FastAPI, vector DB, and Hugging Face deployment
11 days ago
cache.py
Safe
2.12 kB
chore: remove deprecated files and add legacy directory to .dockerignore
11 days ago
config.py
Safe
6.29 kB
feat: integrate A/B testing framework and enhance RAG diversity in recommendation system
11 days ago
cover_fetcher.py
3.77 kB
feat: advanced RAG architecture with SFT data pipeline
11 days ago
etl.py
Safe
4.5 kB
feat: implement zero-RAM SQLite architecture for Hugging Face deployment
11 days ago
init_db.py
Safe
3.55 kB
chore: remove legacy files and scripts no longer part of the main architecture
11 days ago
main.py
Safe
279 Bytes
chore: remove obsolete files and update project structure
10 days ago
utils.py
Safe
3.6 kB
feat: integrate A/B testing framework and enhance RAG diversity in recommendation system
11 days ago