Method for Modeling User Semantics and its Application to Service Navigation on the Web

Method for Modeling User Semantics and its Application to Service Navigation on the Web

Munehiko Sasajima (Osaka University, Japan), Yoshinobu Kitamura (Osaka University, Japan) and Riichiro Mizoguchi (Osaka University, Japan)
Copyright: © 2013 |Pages: 13
DOI: 10.4018/978-1-4666-2806-9.ch008
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Abstract

The value of information accumulated on the Web is enhanced when it is provided to the user who faces a problematic situation that can be solved by the information. The authors have investigated a task-oriented menu that enables users to search for mobile Internet services not by category but by situation. Construction of the task-oriented menu is based on a user modeling method that supports descriptions of user activities, such as task execution and defeating obstacles encountered during the task, which in turn represents the users’ situations and/or needs for certain information. They built task models of the mobile users that cover about 97% of the assumed situations of mobile Internet services. Then they reorganized “contexts” in the model and designed a menu hierarchy from the viewpoint of the task. The authors have linked the designed menu to the set of mobile Internet service sites included in the i-mode service operated by NTT docomo, consisting of 5016 services. Among them, 4817 services are properly connected to the menu. This chapter introduces a framework for a real scale task-oriented menu system for mobile service navigation with its relations to the SNS applications as knowledge resources.
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Background

Choi, Lee, Kim, and Jeon (2005) investigated which factors of mobile Internet services are important for users. They interviewed people from three countries, Japan, Korea, and Finland, which have mature mobile Internet service markets. According to their analysis, both the “logical order of the menu” and “meaningful classification of the contents” are considered to be important by many subjects from the three countries. The results validate our approach for improving the menu system and classification of the contents by user tasks, which should contribute to user satisfaction.

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