6149 Open source projects that are alternatives of or similar to Recsys19_hybridsvd

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

Disentagnled Graph Collaborative Filtering, SIGIR2020

Neural Collaborative Filtering

4 different recommendation engines for the MovieLens dataset.

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

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

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.

Neural Graph Collaborative Filtering, SIGIR2019

An open source recommender system service written in Go

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

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

A tour through recommendation algorithms in python [IN PROGRESS]

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

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

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.

kNN-based next-basket recommendation

📖Notes and remarks on Machine Learning related papers

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

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

Papers about recommendation systems that I am interested in

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

A Clojure library for querying large data-sets on similarity

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.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

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.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

阅读过的推荐系统论文的归类总结，持续更新中…

Exposure Matrix Factorization: modeling user exposure in recommendation

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

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

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

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

This is the official repository for the Recommender Systems course at Politecnico di Milano.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Variational autoencoders for collaborative filtering

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

recommender system tutorial with Python

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

Building recommender systems in Julia

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

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

pytorch version of neural collaborative filtering

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

项亮的《推荐系统实践》的代码实现

A Comparative Framework for Multimodal Recommender Systems

Summary of social recommendation papers and codes

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

Music recommender using deep learning with Keras and TensorFlow

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 collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Basic tutorial for ESMPy Python package

Code for the paper on t-SNE with variable degree of freedom

Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings