Faculty Advisor

Ruiz, Carolina

Abstract

This project investigated a mixture of experts neural architecture for a combined collaborative and content-based recommender system. The effect of first reducing the dimensionality of the input data using the singular value decomposition was also studied. We showed that the mixture of experts architecture achieves the same recommendation quality as a fully-connected architecture while requiring less computation time, or, if desired, higher quality can be achieved with only slight increase in running time.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2003

Major

Physics

Project Type

Major Qualifying Project

Accessibility

Restricted-WPI community only

Advisor Department

Computer Science

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