197 Open source projects that are alternatives of or similar to bpr

DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

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.

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

Search/Recommendation engine and metainformation server for fanfiction net

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

PyTorch Implementation for Neural Graph Collaborative Filtering

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

Fashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System

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

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

Recommend system learning resources and learning notes

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Knowledge-aware recommendation papers.

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

recommender system tutorial with Python

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

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.

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

Building recommender systems in Julia

Deep recommender models using PyTorch.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Factorization Machine, Deep Learning, Recommender System

Fast item-to-item recommendations on the command line.

Summary of social recommendation papers and codes

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

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) for users over a longer time horizon.

kNN-based next-basket recommendation

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

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

Recommendation based on sequence

This is our implementation of SAMN: Social Attentional Memory Network

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

An index of recommendation algorithms that are based on Graph Neural Networks.

This repository contains some datasets that I have collected in Recommender Systems.

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

Accelerated deep learning R&D

Tool for autodownloading recommendation systems datasets

Classic papers and resources on recommendation

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

Recommendations for Ruby and Rails using collaborative filtering

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

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

🛍️RetailBox - eCommerce Recommender System using Machine Learning

📖Notes and remarks on Machine Learning related papers

A python library for music recommendation

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

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021