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"
CS502Capstone
A distributed shared-nothing variant of the incremental stochastic gradient descent algorithm
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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