Machine Learning Platform and Recommendation Engine built on Kubernetes
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Updated
Apr 12, 2020 - Java
Machine Learning Platform and Recommendation Engine built on Kubernetes
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
Java-Based Context-aware Recommendation Library
Towards A Standardized Tag Recommender Benchmarking Framework
Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
Semester project for Tishreen university.
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
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
Completed exercises for Coursera Recommender Systems MOOC
An Android App with ML backend to suggest movies based on your continuous rating.
A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.
A graph based recommendation engine
Book Recommendation Service
Generic Recommendation Engine Skeleton
A Java implementation of Alternating Least Squares (ALS).
Spring Boot Starter for using Mahout as a recommendation engine for item-based collaborative filtering.
A recommendation system, complete with UI built using Java in IntelliJ IDEA
Apache Spark Recommendation/Machine Learning Api Service
A media recommendation web app.
A DIY version of a simple movie recommendation system.
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