Time Sensitive Item Based Recommendation System
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Updated
Sep 29, 2016 - Java
Time Sensitive Item Based Recommendation System
Improving User Recommendation by Extracting Social Topics and Interest Topics of Users in Uni-Directional Social Networks.
All the coursera courses I did
CS502Capstone
Social network framework in Java 8. Includes basic analysis metrics, community detection, link prediction and people-to-people recommendation, etc.
A distributed shared-nothing variant of the incremental stochastic gradient descent algorithm
Code for the paper "Effective Contact Recommendation in Social Networks by Adaptation of Information Retrieval Models"
Combining Top-N Recommender Systems using Metasearch Algorithms
Java library for interactive recommendation.
Java 8 Recommender Systems framework for novelty, diversity and much more
Samantha - A generic recommender and predictor server
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
LibRec: A Leading Java Library for Recommender Systems, see
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
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