Interactive Visualization System for Decision Making Support in Online Shopping

Authors:
Tomoki Kajinami;Takashi Makihara;Yasufumi Takama
Affiliations:
Tokyo Metropolitan University, Tokyo, Japan 191-0065;Tokyo Metropolitan University, Tokyo, Japan 191-0065;Tokyo Metropolitan University, Tokyo, Japan 191-0065
Venue:
New Frontiers in Applied Data Mining
Year:
2009

Citing 2
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Abstract

This paper proposes an interactive visualization based on decision making approach, which helps a user to make a comparison between items and to select certain item in online shopping. This paper employs an interactive visualization system Keyword Map , which is designed for general-purpose visualization of graph structure. The system has several functions for emphasizing user's intentions and can reflect those to a map. In this paper, improved Keyword Map is proposed and applied to interactive retrieval process of online shopping. Experiments with test subjects are performed to compare user's behaviors in online shopping between the proposed system and ordinary Web browser. The results show that subjects using proposed system tend to analyze relationship between items, which leads to the acceleration of concept articulation of online shopping.