Student Work
A Collaborative filtering system for an on-line newspaper
PublicMany online newspapers provide news without consideration for reader's tastes. Collaborative filtering solves this problem by recommending articles based upon ratings by others. Collaborative filtering can be enhanced by content-based filtering when ratings are sparse. We applied a blend of collaborative and content-based filtering to an online newspaper, the Worcester Telegram and Gazette. Our system consists of a web-based interface, a back-end recommendation engine, and a database. We analyze results of the project and propose direction for future work.
- 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
- Identifier
- 99D004M
- Advisor
- Year
- 1999
- Date created
- 1999-01-01
- Resource type
- Major
- Rights statement
- Last modified
- 2021-10-11
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Permanent link to this page: https://digital.wpi.edu/show/sf2687910