Exploiting Synergy Between Ontologies and Recommender Systems

Details Exploiting Synergy Between Ontologies and Recommender Systems Exploiting Synergy Between Ontologies and Recommender Systems

2002-04-08

arxiv.org/abs/cs/0204012v1

Computer Science

Learning

Semantic web conference, WWW2002, 10 pages

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Exploiting Synergy Between Ontologies and Recommender Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Exploiting Synergy Between Ontologies and Recommender Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exploiting Synergy Between Ontologies and Recommender Systems will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-554554