JUCS - Journal of Universal Computer Science 15(4): 926-940, doi: 10.3217/jucs-015-04-0926
A Personalized URL Re-ranking Method using Psychological User Browsing Characteristics
expand article infoShohel Ahmed‡, Sungjoon Park§, Jason J. Jung|, Sanggil Kang‡
‡ Inha University, Incheon, Republic of Korea§ Kongju Communication and Arts College, Gongju, Republic of Korea| Yeungnam University, Gyeongsan, Republic of Korea

Corresponding author: Shohel Ahmed ( shohel@inhaian.net )

© Shohel Ahmed, Sungjoon Park, Jason Jung, Sanggil Kang.
This article is freely available under the J.UCS Open Content License.
Citation: Ahmed S, Park S, Jung JJ, Kang S (2009) A Personalized URL Re-ranking Method using Psychological User Browsing Characteristics. JUCS - Journal of Universal Computer Science 15(4): 926-940. https://doi.org/10.3217/jucs-015-04-0926
Open Access
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 uncommonmind." 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.
Keywords
personalization, user browsing, search engine, re-ranking