Algorithm for recommend food based associations rule

User-Based Collaborative-Filtering recommendation engine built with Java

a Java-based recommendation engine using t-SNE techique and QuadTree algorithms

ML Recommendation System Skeleton / Product Comparison Service (Java 11 / MongoDB / Spring)

Java and Spring demo api for the Oatfin platform

Book Recommendation Service

Towards A Standardized Tag Recommender Benchmarking Framework

A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

A media recommendation web app.

A graph based recommendation engine

Semester project for Tishreen university.

In this project we build docker deployable adaptive recommendation engine for meals to maintain users’ nutritional intake and variety in upcoming meals using Flask. We encode preparation steps of recipes in vector space to find similarities between recipes using math formula. We develop interactive Android App for users to log daily meals.

Java and Spring demo API for the Oatfin platform.

Java-Based Context-aware Recommendation Library

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-based recommendation engine module with real-time and pre-computed recommendations.

A Java implementation of Alternating Least Squares (ALS).

This project is proof-of-concept work of developing Mahout Recommendation Engine. The technology used is Spring Boot framework and MongoDB as the database.

An Android App with ML backend to suggest movies based on your continuous rating.