113 Open source projects that are alternatives of or similar to Recommender

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recommender system tutorial with Python

Basic Movie Recommendation Web Application using user-item collaborative filtering.

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Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

Best Practices on Recommendation Systems

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

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Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

A collection of small bash scripts for heavy terminal users

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

A curated list of repositories for my book Machine Learning Solutions.

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The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Recommendations for Ruby and Rails using collaborative filtering

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Simple recommendation engine implementation built on top of Redis

Large scale training of factorization models for Collaborative Filtering with PyTorch

基于协同过滤的书籍推荐系统

Personalized real-time movie recommendation system

Using Deep Autoencoders for predictions of movie ratings.

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Java-Based Context-aware Recommendation Library

Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search

A tour through recommendation algorithms in python [IN PROGRESS]

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

A unified, comprehensive and efficient recommendation library

Next RecSys Library

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

Neural Graph Collaborative Filtering, SIGIR2019

Factorization Machine models in PyTorch

R interface to fast.ai

A collection of resources for Recommender Systems (RecSys)

Variational autoencoders for collaborative filtering

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Neo4j-based recommendation engine module with real-time and pre-computed recommendations.

A Curated List of Must-read Papers on Recommender System.