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neural-collaborative-filtering

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This application focuses on recommending music artists using NCF. The dataset, HetRec 2011 Last.fm, includes user-artist interactions, friend relationships, and tagging information for 1,892 users and 17,632 artists. The model predicts top artist recommendations for users, incorporating social and listening behavior data to enhance personalization.

  • Updated Oct 15, 2025
  • Python

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

  • Updated Aug 8, 2024
  • Python

A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.

  • Updated Oct 26, 2023
  • Jupyter Notebook

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

  • Updated Apr 13, 2023
  • Python

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