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.
This research was supported by the Ministry of Information and Communication, Korea, under the College Information Technology Research Center Support Program, grant number IITA-2006-C1090-0603-0031.
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Kumar, H., Park, S., Kang, S. (2008). A Personalized URL Re-ranking Methodology Using User’s Browsing Behavior. In: Nguyen, N.T., Jo, G.S., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2008. Lecture Notes in Computer Science(), vol 4953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78582-8_22
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DOI: https://doi.org/10.1007/978-3-540-78582-8_22
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