Collaborative and content-based filtering using neural networks

Rock, Dana N.; Kao, Amy Hiumin

Student Work

Collaborative and content-based filtering using neural networks

Pubblico

We apply artificial neural networks trained using error back-propagation to construct three different systems for automated information filtering. These systems utilize content-based filtering, collaborative filtering, and a combination of both methods respectively. Extensive experimental evaluation of the systems was carried out with movie recommendation as a test domain, using data collected from our own on-line survey.

This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

Publisher