The Influence of Indirect Association Rules on Recommendation Ranking Lists

Authors:
Przemyslaw Kazienko;Katarzyna Kuzminska
Affiliations:
Wroclaw University of Technology, Poland;Wroclaw University of Technology, Poland
Venue:
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Year:
2005

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Abstract

Association rules are often utilized in web recommendation systems for creation of suggested items lists. However, lists obtained in this way may be too short. Indirect association rules are introduced to extend classical, direct association rules and supplement the knowledge they contribute. The relation between ranking lists created on the basis of association rules and hyperlinks existing on web pages has also been examined in the paper.