Discovering Geographical-specific Interests from Web Click Data

Chang Sheng, Wynne Hsu, Mong Li Lee

Citation
Descriptions
Abstract:

As the Internet continues to play an important role in many business applications, it becomes vital to increase the competitive edge by offering geographically tailored contents that reflect the common interests of the geographical region of the web visitors. In this paper, we define the problem of mining geographical-specific interests patterns. We utilize the quadtree to model the influence distributions of different features, and design an algorithm called FlexiPROBER to mine geographical-specific interests patterns that are significant in a local region. We further examine how these patterns can change over time and develop an algorithm called MineGIC to efficiently discover pattern changes. Experiment results demonstrate that the proposed algorithms are scalable and efficient. Patterns discovered from real world web click datasets reveal interesting patterns and show the evolution of the interests of people in those regions.

Resources

Bibliography Navigation: Reference List; Author Index; Title Index; Keyword Index


Generated by sharef2html on 2011-04-15, 02:00:41.