Recommender GitHub Repositories

Best Practices on Recommendation Systems

A Python scikit for building and analyzing recommender systems

A Python implementation of LightFM, a hybrid recommendation algorithm.

A unified, comprehensive and efficient recommendation library

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

LibRec: A Leading Java Library for Recommender Systems, see

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Bridging LLM and Recommender System.

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

Machine learning movie recommending system

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

A general purpose recommender metrics library for fair evaluation.

[Pytorch] Unofficial Implementation of "Recommender Systems with Generative Retrieval"

recommender system tutorial with Python

A GenAI-powered Kubetools Recommender System

🌟 국내 스타트업 목록 및 설명 🌟

基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型，结合专业运营人员的业务经营，发掘潜在用户，进行推荐营销召回。

Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

高性价比国内外云服务器/云主机/VPS推荐【附优惠码】 2026/6/15更新。文中列出部分配置与价格。

Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Unofficial implementation of paper "Recommender Systems with Generative Retrieval" (NeurIPS'23)

Recommender built using keras

Recommendation engine using collaborative filtering and matrix factorization

Recommender for suggesting letter writers 👍

🎥 Movie Recommender AI System

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

A content-based recommender system for books using the Project Gutenberg text corpus

This is the official implementation for our paper Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility, accepted by ICMR'23.

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels