Exploiting Synergy Between Ontologies and Recommender Systems

Middleton, Stuart E., Alani, Harith, Shadbolt, Nigel R. and Roure, David C. De (2002) Exploiting Synergy Between Ontologies and Recommender Systems At Semantic Web Workshop 2002 At the Eleventh International World Wide Web Conference Hawaii, USA.


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Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender systems do, however, suffer from cold-start problems where no initial information is available early on upon which to base recommendations. Semantic knowledge structures, such as ontologies, can provide valuable domain knowledge and user information. However, acquiring such knowledge and keeping it up to date is not a trivial task and user interests are particularly difficult to acquire and maintain. This paper investigates the synergy between a web-based research paper recommender system and an ontology containing information automatically extracted from departmental databases available on the web. The ontology is used to address the recommender systems cold-start problem. The recommender system addresses the ontology's interest-acquisition problem. An empirical evaluation of this approach is conducted and the performance of the integrated systems measured.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Semantic Web Workshop 2002 At the Eleventh International World Wide Web Conference Hawaii, USA Organisation: ACM Address: Hawaii, USA
Venue - Dates: Semantic Web Workshop 2002 At the Eleventh International World Wide Web Conference Hawaii, USA, 2002-05-01
Organisations: Web & Internet Science, Electronics & Computer Science, IT Innovation
ePrint ID: 256487
Date :
Date Event
May 2002Published
Date Deposited: 15 Apr 2002
Last Modified: 17 Apr 2017 23:04
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/256487

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