Movie Recommender System using Collaborative Filtering

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Nupur Kalra
Deepak Yadav
Gourav Bathla

Abstract

Recommender systems have been a crucial research area in late years. It’s a tool that provide recommendation which may be helpful to the user to select item of their interest among thousand other items. In this paper we have given a brief description of collaborative and content based filtering. It contains difference between the two and the flaws they contain. It also reviews the literature of recommender system. The intent of the paper is to study the working of collaborative filtering method using film-trust dataset. The results obtained present a list of recommendation.

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