241 Open source projects that are alternatives of or similar to Movielens Recommender

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

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阅读过的推荐系统论文的归类总结，持续更新中…

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.

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Summary of social recommendation papers and codes

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

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Papers about recommendation systems that I am interested in

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.

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.

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PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

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

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

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

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.

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

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(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

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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.