All Categories → Machine Learning → recommendation-engine

Top 35 recommendation-engine open source projects

Recommender
A C library for product recommendations/suggestions using collaborative filtering (CF)
Disco
Recommendations for Ruby and Rails using collaborative filtering
Recommenderlab
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
Mangaki
Site de recommandation de mangas et d'anime
Tagrec
Towards A Standardized Tag Recommender Benchmarking Framework
Too
Simple recommendation engine implementation built on top of Redis
Simple recommender
A simple recommendation engine for Rails/Postgres
Carskit
Java-Based Context-aware Recommendation Library
Movie Recommender System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Datahacksummit 2017
Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
Relevancyfeedback
Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search
Neo4j Reco
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
Recdb Postgresql
RecDB is a recommendation engine built entirely inside PostgreSQL
pprec
a recommender engine node-js package for general use and easy to integrate.
Deep-Learning-Model-for-Hybrid-Recommendation-Engine
A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor
Deeplearning Image Similarity
Deep learning based image similarity search for product recommendations
raptor
A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
Movie-Recommendation-Chatbot
Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…
RecommendationEngine
Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
1-35 of 35 recommendation-engine projects