A personalized URL re-ranking methodology using user's browsing behavior

Authors:
Harshit Kumar;Sungjoon Park;Sanggil Kang
Affiliations:
Department of Computer Science, University of Suwon, Hwaseong, Gyeonggi-do, South Korea;Department of Mobile Game, Kongju Communication and Arts College, Kongju City, Chungnam, South Korea;Computer Science and Information Engineering, Inha University, Incheon, South Korea
Venue:
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Year:
2008

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Abstract

This paper proposes a personalized re-ranking of URLs returned by a search engine using user's browsing behaviors. Our personalization method constructs an index of the anchor text retrieved from the web pages that the user has clicked during his/her past searches. We propose a weight computation method that assigns different values to anchor texts according to user's browsing behaviors such as 'clicking' or 'downloading'. Experiment results show that our method can be practical for saving surfing time and effort to find users' preferred web pages.