Completed exercises for Coursera Recommender Systems MOOC
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Updated
May 12, 2014 - Java
Completed exercises for Coursera Recommender Systems MOOC
recommend
Generic Recommendation Engine Skeleton
A recommender engine similar to those used by Netflix or Amazon.
Apache Spark Recommendation/Machine Learning Api Service
Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
some examples via spark,hadoop
Spring Boot Starter for using Mahout as a recommendation engine for item-based collaborative filtering.
A sample of my work from APCS (AP Computer Science) at Homestead High School.
A recommendation system, complete with UI built using Java in IntelliJ IDEA
Machine Learning Platform and Recommendation Engine built on Kubernetes
Maidenpool SDK for the Java programming language.
[GIW-MII-UGR-2016-2017] Desarrollo de un Sistema de Recomendación basado en Filtrado Colaborativo "User Based" desde cero y con Mahout Taste
A DIY version of a simple movie recommendation system.
An Android App with ML backend to suggest movies based on your continuous rating.
This project is proof-of-concept work of developing Mahout Recommendation Engine. The technology used is Spring Boot framework and MongoDB as the database.
A Java implementation of Alternating Least Squares (ALS).
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
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
Java-Based Context-aware Recommendation Library
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