A Personalized URL Re-ranking Method using Psychological User Browsing Characteristics
- Authors
- Ahmed, Shohel; Park, Sungjoon; Jung, 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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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