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

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

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

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.

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

Search/Recommendation engine and metainformation server for fanfiction net

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

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

📝 SZU Undergraduate Thesis -- Recommender System

PyTorch Implementation for Neural Graph Collaborative Filtering

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

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

Recommend system learning resources and learning notes

Deep recommender models using PyTorch.

Building recommender systems in Julia

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.

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

TensorFlow implemenation of GRu4Rec model

recommender system tutorial with Python

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

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

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

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"

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

Factorization Machine, Deep Learning, Recommender System

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

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

Accelerated deep learning R&D

Summary of social recommendation papers and codes

Classic papers and resources on recommendation

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

Recommendations for Ruby and Rails using collaborative filtering

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Tool for autodownloading recommendation systems datasets

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

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.

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

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

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

Paper list of NLP for recommender systems

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

entity2rec generates item recommendation using property-specific knowledge graph embeddings

This is our implementation of SAMN: Social Attentional Memory Network

Recommender systems for Go

Recommendation based on sequence

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

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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

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.

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

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