197 Open source projects that are alternatives of or similar to Product Nets

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

A framework for large scale recommendation algorithms.

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

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

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

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

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

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

GRu4Rec in TensorFlow

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

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.

Machine Learning (EE 5184) in NTU

A simple Music Recommendation System

项亮的《推荐系统实践》的代码实现

Bayesian Personalized Ranking using PyTorch

SoulSeek client with web interface and recommender system

kNN-based next-basket recommendation

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

This is a repository of public data sources for Recommender Systems (RS).

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

基于 Pytorch 实现推荐系统相关的算法

Multi-order Attentive Ranking Model for Sequential Recommendation

RecDB is a recommendation engine built entirely inside PostgreSQL

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

One Person, One Model, One World: Learning Continual User Representation without Forgetting

code for Gogleva et al manuscript

Papers about recommendation systems that I am interested in

content discovery... IN 3D

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

Friends Recommendation and Link Prediction in Social Netowork

阅读过的推荐系统论文的归类总结，持续更新中…

Sequential recommendation algorithm

a recommender engine node-js package for general use and easy to integrate.

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

Deep Learning Computer Vision Algorithms for Real-World Use

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

📖Notes and remarks on Machine Learning related papers

Материалы третьего набора офлайн-программы Data Scientist.

A python library for music recommendation

Multiplicative LSTM for Recommendations

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

A Comparative Framework for Multimodal Recommender Systems

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

Hybrid Recommender System

Knowledge-aware recommendation papers.

A simple movie recommendation engine

Efficient training of deep recommenders on cloud.

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

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Papers on Computational Advertising

UC Berkeley team's submission for RecSys Challenge 2018

Rank and serve recommendations