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13 search results found

Recommenders ⭐ 17,972

Best Practices on Recommendation Systems

Deeprec ⭐ 1,068

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Datasets For Recommender Systems ⭐ 821

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Recommendationraccoon ⭐ 690

A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.

Goodbooks 10k ⭐ 576

Ten thousand books, six million ratings

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

Caserecommender ⭐ 367

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Ripplenet ⭐ 347

A tensorflow implementation of RippleNet

Recdb Postgresql ⭐ 262

RecDB is a recommendation engine built entirely inside PostgreSQL

Recommender ⭐ 249

A C library for product recommendations/suggestions using collaborative filtering (CF)

Recommendersystem Dataset ⭐ 235

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

Recommenderlab ⭐ 207

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

Recommendationsystem ⭐ 190

Book recommender system using collaborative filtering based on Spark

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

A tensorflow implementation of Knowledge Graph Convolutional Networks

The Movie Cinema ⭐ 140

The Movie Database for all language movies

Graphembeddingrecommendationsystem ⭐ 126

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

Recommender System Tutorial ⭐ 104

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

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

Movie Recommender System ⭐ 86

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

Kgcn Pytorch ⭐ 84

KGCN pytorch model implementation

Slopeone ⭐ 84

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

Books2rec ⭐ 76

A recommender system built for book lovers.

Recommender System On Movielens Dataset ⭐ 69

Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Recommender systems were built using Pandas operations and by fitting KNN, SVD & deep learning models which use NLP techniques and NN architecture to suggest movies for the users based on similar users and for queries specific to genre, user, movie, rating, popularity.

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

Recommendmoteur ⭐ 57

电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎

Top K Rec ⭐ 54

A method collection for top-k recommendation

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.

Personalized real-time movie recommendation system

Bellkoralgorithm ⭐ 33

A Python implementation of the Bellkor Algorithm

Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"

Recsys Frontend ⭐ 27

An easy to set up recommender systems frontend for research, fun and science

Movie_recommendation_engine ⭐ 23

This repository contains the code for building movie recommendation engine.

This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'

Iterative Cf ⭐ 19

storm/trident based highly scalable recommendation engine

Podcast Recommendation Engine ⭐ 19

🎤 Building a content-based podcast recommender system using NLP

Rectools ⭐ 19

Advanced package for recommender systems

Incremental learning for recommender systems

The implementation of "PARL: Let Strangers Speak Out What You Like", Libing Wu, Cong Quan, Chenliang Li, Donghong Ji, https://doi.org/10.1145/3269206.3271695

Movie Recommender Using Rbm ⭐ 16

A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

Knnbandit ⭐ 14

Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"

Rectools ⭐ 13

Netflix Recommender System ⭐ 13

ITCS 6190 : Cloud Computing for Data Analysis project. Movie Recommendation Engine for Netflix Data with custom functions implementation and library usage.

Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.

Caserecommender ⭐ 12

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Smarttourister ⭐ 11

We have developed a fully AI/ML-based itinerary recommendation system which when used by people coming to visit any place would allow them to better optimize their cost/time. We have 3 developed 3 inputs that are Scraping Twitter, UI Form, and FB Chatbot

Restaurant Recommendations With Yelp ⭐ 11

🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.

You Can Not Recommend ⭐ 11

Recommender system engine on NodeJS

Deeprecommender ⭐ 11

Training Deep AutoEncoders for Collaborative Filtering

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

Recommender Addon ⭐ 11

A node addon for recommendations

New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++

My Yelper ⭐ 10

Building a Hybrid Recommendation Engine: Content-based Filtering + Collaborative Filtering (Spark, PySpark, Apache Drill)

Bigdata_project_recommender_system ⭐ 10

Recommender system based on Item Collaborative Filtering and MapReduce

Board Game Recommender ⭐ 10

Board game recommendation engine

Movie Recommendation System ⭐ 9

Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems

Recommendation Gym ⭐ 9

MovieLens recommendation system using reinforcement learning (GYM + PPO)

It556_worthless_without_coffee_da Iict_final_project ⭐ 9

This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.

Movie Recommendation ⭐ 9

Java Programming And Software Engineering Fundamentals Java Programming Build A Recommendation Syst ⭐ 9

Fifth course of this series, the capstone project

Python implementation of N-dimensional Tensor Factorization

Recommender System ⭐ 8

movie recommender system based on Item CF

Movies Recommender ⭐ 8

A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.

Recommendation Engine ⭐ 8

Recommendation engine and it's algorithms in python , R .

Impulse Ml Recommender Php Documentation ⭐ 7

Official documentation for PHP library Impulse-ML: Recommender, the Recommender Engine

Recommendersystemmovielens ⭐ 7

A Recommender System based on the MovieLens website

Recommender System ⭐ 7

Movie Recommender System using Apache Spark Java ML libraries

Implementation of the Extended Collaborative Less-is-more Filtering Algorithm

Newsrecommender ⭐ 6

Movie_recommender_system_scala ⭐ 6

Build a movie recommender system using Collaborative Filtering by leveraging Spark in Scala

Java Programming Build A Recommendation System ⭐ 6

Pythonlibrecommendationsystem ⭐ 6

This libraries contains various standard machine learning algorithms such as latent factor model for recommendation system

Movie Recommendation Engines ⭐ 6

Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.

Joke Recommender ⭐ 6

Built recommendation system based on a dataset of over 4 million ratings of jokes using GraphLab

Recommendation ⭐ 6

Python recommendation Engine. Django

Movielens ⭐ 5

MovieLens Recommender System

Movie Recommendation Engine using PySpark

Recommender Systems ⭐ 5

Book Crossing Data Cleansing For Recommendations ⭐ 5

BookCrossing data cleansing and book Recommendations

Recommendr ⭐ 5

Item and user based recommendation engine, in Python, backed by Redis

Recommender Systems ⭐ 5

Different implementations of recommender systems.

Museumrecommendation ⭐ 5

Ongoing project to recommend museums

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