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pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Sci... Read more

[WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Using Deep Autoencoders for predictions of movie ratings.

matlab, collaborative filtering, MovieLens dataset，The movie recommendation system

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

A movie tickets booking and management application using Flutter and NestJS. Flutter BLoC pattern and RxDart, rx_redux, stream_loader for state management. Firebase authentication, socket.io. Backend using NestJS, MongoDB database and Neo4j. Recommendation using Neo4j database and Collaborative f... Read more