266 Open source projects that are alternatives of or similar to recsys_spark

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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.

A Clojure library for querying large data-sets on similarity

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

A Comparative Framework for Multimodal Recommender Systems

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.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

kNN-based next-basket recommendation

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

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.

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.

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

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

Neural Graph Collaborative Filtering, SIGIR2019

Papers about recommendation systems that I am interested in

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Neural Collaborative Filtering

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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.

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

recommender system tutorial with Python

An open source recommender system service written in Go

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

Summary of social recommendation papers and codes

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.

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

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

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.

UC Berkeley team's submission for RecSys Challenge 2018

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

阅读过的推荐系统论文的归类总结，持续更新中…

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

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

Building recommender systems in Julia

📖Notes and remarks on Machine Learning related papers

A python library for music recommendation

Apache Spark is a fast, in-memory data processing engine with elegant and expressive development API's to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets.This project will have sample programs for Spark in Scala language .

Multi-order Attentive Ranking Model for Sequential Recommendation

content discovery... IN 3D

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.

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

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

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

Efficient training of deep recommenders on cloud.

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

Friends Recommendation and Link Prediction in Social Netowork

Real-time Data Warehouse with Apache Flink & Apache Kafka & Apache Hudi

Knowledge-aware recommendation papers.

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

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

Sequential recommendation algorithm

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