eugeneyan/recsys-nlp-graph
🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
This project helps e-commerce managers and product strategists improve their recommendation engines. It takes past customer interaction data (like purchases and views of electronics or books) and generates more relevant product recommendations. The goal is to provide better suggestions to shoppers by understanding product relationships more deeply than traditional methods.
145 stars. No commits in the last 6 months.
Use this if you need to generate highly accurate product recommendations for your e-commerce platform and want to explore advanced techniques beyond basic collaborative filtering.
Not ideal if you have extremely limited computational resources or if your primary focus is on extremely large graphs where standard Node2Vec implementations are feasible.
Stars
145
Forks
29
Language
Python
License
—
Category
Last pushed
Jul 07, 2024
Commits (30d)
0
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