ZJU-DAILY/MetaKG
Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
This project helps e-commerce and content platforms improve their recommendation systems, especially for brand new items or users. It takes in existing user interaction data and item information (like book reviews or music listening history) and outputs better, more personalized recommendations. Online retailers, streaming services, and content providers can use this to increase engagement and sales.
No commits in the last 6 months.
Use this if you need to generate accurate recommendations for new users or items that lack extensive interaction data.
Not ideal if your recommendation system already performs well with cold-start scenarios or if you don't have access to large knowledge graph datasets.
Stars
58
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 27, 2022
Commits (30d)
0
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