241 Open source projects that are alternatives of or similar to Collaborativememorynetwork

Papers about recommendation systems that I am interested in

recommender system tutorial with Python

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

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

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

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

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

📖Notes and remarks on Machine Learning related papers

Neural Graph Collaborative Filtering, SIGIR2019

阅读过的推荐系统论文的归类总结，持续更新中…

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

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

Summary of social recommendation papers and codes

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

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

An open source recommender system service written in Go

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

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.

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.

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

UC Berkeley team's submission for RecSys Challenge 2018

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

kNN-based next-basket recommendation

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.

Building recommender systems in Julia

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

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Neural Collaborative Filtering

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.

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.

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

A Comparative Framework for Multimodal Recommender Systems

Large scale training of factorization models for Collaborative Filtering with PyTorch

A Clojure library for querying large data-sets on similarity

Using Deep Autoencoders for predictions of movie ratings.

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

Java-Based Context-aware Recommendation Library

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

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

A tour through recommendation algorithms in python [IN PROGRESS]

🌊 FluRS: A Python library for streaming recommendation algorithms

Sequential deep matching model for recommender system at Alibaba

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

Deep reinforcement learning for recommendation system

entity2rec generates item recommendation using property-specific knowledge graph embeddings

A recommender system for discovering GitHub repos, built with Apache Spark

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

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

R interface to fast.ai

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

Deep learning for recommender systems