All the coursera courses I did
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Updated
Jun 22, 2017 - Java
All the coursera courses I did
Code for the paper "Effective Contact Recommendation in Social Networks by Adaptation of Information Retrieval Models"
A distributed shared-nothing variant of the incremental stochastic gradient descent algorithm
CS502Capstone
Java library for interactive recommendation.
Social network framework in Java 8. Includes basic analysis metrics, community detection, link prediction and people-to-people recommendation, etc.
Time Sensitive Item Based Recommendation System
Improving User Recommendation by Extracting Social Topics and Interest Topics of Users in Uni-Directional Social Networks.
Combining Top-N Recommender Systems using Metasearch Algorithms
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
Samantha - A generic recommender and predictor server
Java 8 Recommender Systems framework for novelty, diversity and much more
LibRec: A Leading Java Library for Recommender Systems, see
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