Collaborative and content-based filtering using neural networksPublic
Downloadable Contentopen in viewer
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.
- Date created
- Resource type
- Rights statement
- In Collection:
|Thumbnail||Title||Visibility||Embargo Release Date||Actions|
Permanent link to this page: https://digital.wpi.edu/show/1n79h746z