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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.

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)

Recommenderlab ⭐ 207

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

Autoencoders_cf ⭐ 155

Collaborative Filtering ⭐ 114

Implemented Item, User and Hybrid based Collaborative Filtering

Deep Autoencoders For Collaborative Filtering ⭐ 111

Using Deep Autoencoders for predictions of movie ratings.

Movie Recommender System ⭐ 86

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

Slopeone ⭐ 84

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

CF4J: Collaborative Filtering for Java

Sitemap Generator ⭐ 18

A highly concurrent Go solution to build sitemaps. Features CLI, proxy support, rate limiting, robots.txt compliant, url filtering and many other features.

Collaborativefiltering Rbm ⭐ 16

A variation of the Restricted Boltzmann Machine (RBM) for Collaborative Filtering tasks

Trustsvd ⭐ 15

TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings

Collaborativefiltering ⭐ 11

simple c++ implementation of collaborative filtering.

Habr Comments Filter ⭐ 11

Userscript for filtering comments by rating at http://habrahabr.ru

Deeprecommender ⭐ 11

Training Deep AutoEncoders for Collaborative Filtering

Recommender Addon ⭐ 11

A node addon for recommendations

Bigdata_project_recommender_system ⭐ 10

Recommender system based on Item Collaborative Filtering and MapReduce

My Yelper ⭐ 10

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

Case Study Ml Netflix Movie Recommendation System ⭐ 9

A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.

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.

Movies Recommender ⭐ 8

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

Rocket.chat.app Tenor ⭐ 7

Tenor.com search for Rocket.Chat

Movie Recommendation Engines ⭐ 6

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

Whattowatch ⭐ 6

demo django and riot.js application

Movie_recommender_system_scala ⭐ 6

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

Netflix Movie Recommendation System ⭐ 6

A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.

Recommender Systems ⭐ 5

Different implementations of recommender systems.

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