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78 search results found

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Recsysdatasets ⭐ 642

This is a repository of public data sources for Recommender Systems (RS).

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Knowledge_graph_attention_network ⭐ 434

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

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

Jstarcraft Rns ⭐ 368

专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.

Movietweetings ⭐ 367

A Live Movie Rating Dataset Collected From Twitter

SASRec: Self-Attentive Sequential Recommendation

Recsys Dataset ⭐ 244

🛍 A real-world e-commerce dataset for session-based recommender systems research.

Movielens ⭐ 202

4 different recommendation engines for the MovieLens dataset.

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

BiNE: Bipartite Network Embedding

Comirec ⭐ 166

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

Graphrec_pytorch ⭐ 137

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

Personalized Fashion Recommendation and Generation

Joint Kg Recommender ⭐ 127

Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

Recommender_system_with_python ⭐ 124

recommender system tutorial with Python

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.

Pyreclab ⭐ 101

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

Graph Networks ⭐ 101

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

Movielens Recommender ⭐ 97

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

Attentive Group Recommendation ⭐ 92

Attentive Group Recommendation

Tartarus ⭐ 86

Deep Learning for audio and text

Awesome_machine_learning_solutions ⭐ 58

A curated list of repositories for my book Machine Learning Solutions.

Sequential Recommendation Datasets ⭐ 56

Download and preprocess popular sequential recommendation datasets

Scenariometa ⭐ 54

Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

Recommender System Datasets ⭐ 50

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

Recommendations ⭐ 38

Neo4j Graph Example Movies Recommendation

Movie Time ⭐ 38

A movie recommendation system based on the GroupLens dataset of MovieLens data

Neural Networks For Collaborative Filtering ⭐ 37

Deep Learning for Recommendation

Yelp_challenge ⭐ 37

Yelp dataset challenge: NLP & sentiment analysis

Retailbox ⭐ 34

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Personalized News Recommendation ⭐ 34

Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

Harrison Dataset ⭐ 31

HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in SOcial Networks

Built-in Movie Graph Example

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recommendation scenarios.

Movie_recommendation_engine ⭐ 23

This repository contains the code for building movie recommendation engine.

Rs_datasets ⭐ 22

Tool for autodownloading recommendation systems datasets

Intro To Reco ⭐ 22

introduction class to recommendation systems

Friends Recommender In Social Network ⭐ 21

Friends Recommendation and Link Prediction in Social Netowork

Datafilter Recsys ⭐ 21

code for ResSys'18 paper: "Exploring Recommendations Under User-Controlled Data Filtering"

Translation Based Recommendation ⭐ 19

Sequential recommendation algorithm

Movie Recommendation System ⭐ 18

Movie recommendation system in python that uses uses the lightfm recommender system library.

Nowplaying Rs Music Reco Fm ⭐ 18

#nowplaying-RS: Music Recommendation using Factorization Machines

Context_recommendation ⭐ 18

Contextual Recommendation Implementation for Research Purposes

Attentive Aspect Based Recommendation Model ⭐ 17

Job_recommendation_engine ⭐ 17

This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

Lodreclib ⭐ 15

lodreclib is a Java library to build recommendation engines which exploit the information encoded in Linked (Open) Data datasets.

Aae Recommender ⭐ 15

Adversarial Autoencoders for Recommendation Tasks

CIKM'20, Generate Neural Template Explanations for Recommendation

Bioscope Recommendation Api ⭐ 15

An open movie recommendation API. Use this to provide movie suggestions to your users in an App or a Website.

News Recommendation System ⭐ 15

Personalized Domain Expert Recommendation

Sfguide Recommender Pipeline ⭐ 14

Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker

Neuralcitationnetwork ⭐ 14

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Privacy Preserving Bandits ⭐ 14

Privacy-Preserving Bandits (MLSys'20)

Music Recommendation System ⭐ 14

A simple Music Recommendation System

Muzender ⭐ 13

music recommendation service

Pyspark Ml Examples ⭐ 13

Spark ML Tutorial and Examples for Beginners

Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”

GCN based paper-researcher recommendation, SJTU EE447 course project.

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

Ebe Dataset ⭐ 12

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

Natural Language Movie Recommendations ⭐ 12

Movie recommendations based on user written passages about preferred movies.

Jamendo Recommendation Sdk ⭐ 11

Jamendo Recommendation SDK

Musical Genre Classification Of Song Lyrics ⭐ 11

Recommendation Engine ⭐ 11

A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83

Collaborative Filtering ⭐ 11

Recommendation System using Collaborative Filtering

Biker Ase2018 ⭐ 10

The dataset and source code for paper "API Method Recommendation without Worrying About the Task-API Knowledge Gap"

Instarecs ⭐ 10

A shortcut to powerful recommendations

A library for GNN-based recommendation system.

Mercury：Recommendation Engine Sandbox Using Movielens Dataset

Movie Recommendation System Using Autoencoders ⭐ 9

Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset

Music_lgb_recommend_kkbox ⭐ 8

use lightgbm to recommend music,and the benchmark dataset is kkbox dataset wsdm2018

Language Model Recommendation ⭐ 8

Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper (ECIR2022)

Kernelized Rank Learning ⭐ 8

Kernelized rank learning for personalized drug recommendation

Ic Tir Lol ⭐ 8

Networks_analysis_plus_recommendations_system ⭐ 8

This project explores the classic MovieLens dataset, first from a networks perspective, analyzing the relationship between users and movies. Later, in the main part of the project, we built and evaluate several Recommendations Systems.

Movie Recommendation System ⭐ 8

Movie Recommendation System using the MovieLens dataset

Career_path_recommendation ⭐ 7

Code which predicts your next job title given your CV. A project for the UCL Machine Learning MSc. Dataset provided by Adzuna.

Music Rec ⭐ 7

Music Recommendation Service

Mangaki's recommendation algorithms

Phd Thesis ⭐ 7

Recommendation_algos ⭐ 7

Algorithms from paper: Evaluation of Session-based Recommendation Algorithms

A recommendation system

Recommendationsbundle ⭐ 6

Recommendations Engine with MongoDB

Popularity Based Recommendation System User Cold Start Problem ⭐ 6

What will happen if a new user or a new item is added in the dataset?

🎥 Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations.

Attention Driven Factor Model ⭐ 6

An explainable recommendation system model, called AFM, Attention-driven factor model

A Conversational Recommendation Dialogue Dataset

Market Basket Analysis On Food Items ⭐ 5

Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.

Next Item Recommendation Using Keras ⭐ 5

Next-item recommendation on top of Amason’s explicit rating dataset, using deep learning with Keras

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