https://doi.org/10.31979/etd.rpf4-6cre">

Publication Date

2009

Degree Type

Master's Project

Degree Name

Master of Science (MS)

Department

Computer Science

Abstract

This project implements a recommender system on large dataset of Netflix’s movies. This project also tries to improve recommender systems by incorporating confidence interval and genres of movies. This new approach enhances the performance and quality of service of recommender systems and gives better result than Netflix commercial recommender system, Cinematch.

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