A Personalized URL Re-ranking Method using Psychological User Browsing Characteristics

Shohel Ahmed (Inha University, Korea)

Sungjoon Park (Kongju Communication and Arts College, Korea)

Jason J. Jung (Yeungnam University, Korea)

Sanggil Kang (Inha University, Korea)

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, re-ranking, search engine, user browsing

Categories: H.1.1, H.3.5, I.2.11