The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.
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Updated
Jul 24, 2024 - Python
The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.
A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.
Implementation of z-scoREC and ImposeSVD for top-N recommendations
An algorithm performance report on the itemKNN algorithm using collaborative filtering paradigm as the learning method. I created this report during my summer internship at B2BPlanet.com
Graph-based movie recommendation system using ItemKNN, MF-BPR, LightGCN, and GraphSAGE on the MovieLens 20M dataset.
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