Faculty Advisor

Ruiz, Carolina.

Abstract

We designed and built a web-based movie recommender system. We used association rule mining to implement two data filtering methods. Content-based filtering identifies sets of common attributes of the movies that the user has liked in the past, while collaborative filtering associates users with each other based on similarities in taste. By combining content- and collaborative-base filtering, we obtained recommendations with a higher precision than either method individually.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2001

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Restricted-WPI community only

Advisor Department

Computer Science

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