rahmanidashti/pretrain-lightfm
Pre-train Embedding in LightFM Recommender System Framework
This tool helps data scientists and machine learning engineers enhance existing recommendation systems by incorporating pre-computed knowledge about items. It takes a text file containing item embeddings and integrates them into the LightFM framework to create more informed and accurate recommendations. This is for professionals building or maintaining recommendation engines.
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Use this if you have existing item knowledge (like product descriptions or movie genres) that you want to leverage to improve a LightFM recommender system.
Not ideal if you are new to building recommender systems or prefer LightFM to learn all item representations from scratch.
Stars
11
Forks
2
Language
Python
License
—
Category
Last pushed
Apr 28, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/rahmanidashti/pretrain-lightfm"
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