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Cited 3 time in webofscience Cited 3 time in scopus
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A Personalized URL Re-ranking Method using Psychological User Browsing Characteristics

Authors
Ahmed, ShohelPark, SungjoonJung, Jason J.Kang, Sanggil
Issue Date
2009
Publisher
GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICM
Keywords
Personalization; User browsing; Search engine; Re-ranking
Citation
JOURNAL OF UNIVERSAL COMPUTER SCIENCE, v.15, no.4, pp 926 - 940
Pages
15
Journal Title
JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Volume
15
Number
4
Start Page
926
End Page
940
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37776
DOI
10.3217/jucs-015-04-0926
ISSN
0948-695X
0948-6968
Abstract
This paper proposes a personalized URL re-ranking method based on psychological characteristics of users browsing. The characteristics are classified into three groups, which are "common-mind," "uncommon-mind," and "extremely uncommon-mind." 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. Our method provides different weights to the anchor text according to the psychological characteristics for re-ranking URLs. In the experimental section, we show that our method can provide better performance than Google and another web personalization method in terms of the average rank.
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소프트웨어대학 (소프트웨어학부)
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