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
Copyright Statement
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Accessibility
Restricted-WPI community only
Advisor Department
Computer Science
Advisor Program
Computer Science