D2KLab/entity2rec
entity2rec generates item recommendation using property-specific knowledge graph embeddings
Computes user-item embeddings from hybrid property-specific knowledge graph subgraphs combining collaborative feedback and content properties via entity2vec. Generates relatedness scores across multiple properties and aggregates recommendations using learnable functions (LambdaMart, average, max, min) evaluated against standard ranking metrics. Supports flexible property configuration and caches embeddings for efficient re-evaluation across different aggregation strategies.
183 stars. No commits in the last 6 months.
Stars
183
Forks
43
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 17, 2020
Commits (30d)
0
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