Capturing Knowledge of User Preferences: ontologies on recommender systems

Details Capturing Knowledge of User Preferences: ontologies on recommender systems Capturing Knowledge of User Preferences: ontologies on recommender systems

2002-03-08

arxiv.org/abs/cs/0203011v1

Computer Science

Learning

First international conference on Knowledge Capture 2001, 8 pages

Scientific paper

Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a dynamic environment. We explore the acquisition of user profiles by unobtrusive monitoring of browsing behaviour and application of supervised machine-learning techniques coupled with an ontological representation to extract user preferences. A multi-class approach to paper classification is used, allowing the paper topic taxonomy to be utilised during profile construction. The Quickstep recommender system is presented and two empirical studies evaluate it in a real work setting, measuring the effectiveness of using a hierarchical topic ontology compared with an extendable flat list.

Affiliated with

Also associated with

No associations

Rating

Capturing Knowledge of User Preferences: ontologies on 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 Capturing Knowledge of User Preferences: ontologies on recommender systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Capturing Knowledge of User Preferences: ontologies on recommender systems will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-268093