Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Machine Learning Platform and Recommendation Engine built on Kubernetes

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

Java-Based Context-aware Recommendation Library

RiVal recommender system evaluation toolkit

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

Recommender system based on Flink and Reinforcement Learning

Towards A Standardized Tag Recommender Benchmarking Framework

A news recommendation evaluation framework

An implementation of locality sensitive hashing with Hadoop

Completed exercises for Coursera Recommender Systems MOOC

基于 Spark Streaming 的电影推荐系统

Academic project for Advance Database Management Systems (Big-Data) course

This is a Java-based benchmark for matrix approximation based collaborative filtering

Hotel Recommender System based on Big Data technologies (Spark, Spark Streaming, Kafka, MongoDB, Elastic Search and Kibana) using Python and Java programming languages.

Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"

A Slack chat bot for personalized recipe recommendation.

Complete Java Approach

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

CSC 510 Software Engineering (Spring 2018) project - Group 'O'