Neural Graph Collaborative Filtering with MovieLens in pytorch
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Updated
May 29, 2022 - Python
Neural Graph Collaborative Filtering with MovieLens in pytorch
Comparative study of graph-based recommendation models NGCF and LightGCN, reproducing benchmark results on Amazon-book and evaluating generalization on Amazon-software-2023 using Recall@20 and NDCG@20.
Comparative Analysis of Recommender Systems on Goodreads Data: A study benchmarking SVD, SVAE, NGCF, and LightGCN models to understand their efficacy in book recommendation.
This repository documents our comprehensive approach to building an effective recommendation system for predicting customer repurchases on Carrefour's eCommerce platform. Starting with simple statistical methods and progressing to advanced neural network architectures, we've explored multiple approaches to tackle this recommendation challenge.
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