98 Open source projects that are alternatives of or similar to SLIM-recommendation

A django app that builds item-based suggestions for users.

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Graph Neural Network

🐳基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时，数据由 kafka 发送到 flink，根据用户历史评分行为进行实时和离线推荐。实时推荐包括：基于行为和实时热门，离线推荐包括：历史热门、历史优质商品和 itemcf 。

A news recommendation system tailored for user communities

Collection of Artificial Intelligence projects.

RiVal recommender system evaluation toolkit

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

This is our implementation of DeepCoNN

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

🍃 Recommender System in JavaScript for the MovieLens Database

Best Practices on Recommendation Systems

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

基于tensorflow的个性化电影推荐系统实战(有前端)

A Toolkit for Neural Review-based Recommendation models with Pytorch.

Prototype recommendation engine built to accompany an article on Toptal Blog

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

A TensorFlow recommendation algorithm and framework in Python.

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

Personalized real-time movie recommendation system

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

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

《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

A unified, comprehensive and efficient recommendation library

深度学习在推荐系统中的应用及论文小结。

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Reinforced Recommendation toolkit built around pytorch 1.7

An Attention-Based User Behavior Modeling Framework for Recommendation

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

项亮的《推荐系统实践》的代码实现

A Comparative Framework for Multimodal Recommender Systems

RecDB is a recommendation engine built entirely inside PostgreSQL

recommendation system with python

LibRec: A Leading Java Library for Recommender Systems, see