Date: Monday, November 28, 2016 Author: Sandesh Nimhan E-mail: snimhan1@binghamton.edu
PURPOSE: [ Understanding and implementing Recommender System and Data Mining Concepts. By developing a Product Recommender System and predicting missing ratings for user-item pairs. ]
DATA STRUCTURE: [ Multi-Dimensional Arrays. ]
TO COMPILE USING ANT: [ javac project.java ]
TO RUN: [ java project ]
RESULT:
[
Item-based Collaborative filtering and Pearson (Correlation) - based similarity measure.
Even for sparse dataset system is able to predict missing ratings for user-item pairs with minimum RMSE as 0.7
]