Mobile merchandise evaluation service using novel information retrieval and image recognition technology

Authors:
Chi-Chun Lo;Ting-Huan Kuo;Hsu-Yang Kung;Hsiang-Ting Kao;Chi-Hua Chen;Che-I Wu;Ding-Yuan Cheng
Affiliations:
Institute of Information Management, National Chiao-Tung University, 1001 University Road, Hsinchu, Taiwan 300, Taiwan, ROC;Department of Management Information System, National Pingtung University of Science and Technology, 1, Shuefu Road, Neipu, Pingtung, Taiwan 912, Taiwan, ROC;Department of Management Information System, National Pingtung University of Science and Technology, 1, Shuefu Road, Neipu, Pingtung, Taiwan 912, Taiwan, ROC;Institute of Information Management, National Chiao-Tung University, 1001 University Road, Hsinchu, Taiwan 300, Taiwan, ROC;Institute of Information Management, National Chiao-Tung University, 1001 University Road, Hsinchu, Taiwan 300, Taiwan, ROC;Department of Management Information System, National Pingtung University of Science and Technology, 1, Shuefu Road, Neipu, Pingtung, Taiwan 912, Taiwan, ROC;Institute of Information Management, National Chiao-Tung University, 1001 University Road, Hsinchu, Taiwan 300, Taiwan, ROC
Venue:
Computer Communications
Year:
2011

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Abstract

Consumers' purchasing behavior has obviously changed in recent years with developments in social economics. This change has been evident in the decreased ratio of planned purchases but not in the increase of planned (or spontaneous) purchases. This act of spontaneous or otherwise unplanned purchasing is called ''impulse buying''. However, buying under these conditions costs more money always comes with negative responses, such as complaints and regret. Therefore, we propose and have designed a new merchandise recommendation system, the Mobile Merchandise Evaluation Service Platform (MMESP). This is a three-tier system composed of Real-time Merchandise Identifying System (RMIS), Real-time Merchandise Evaluation System (RMES), and Real-time Merchandise Recommendation System (RMRS). With this system, Mobile Users (MUs) take pictures of merchandise and send them to MMESP, RMIS integrates Region Adjacency Graph (RAG) and Self-Organizing Maps (SOM) to gather information on the merchandise through those photographs, and. RMES and RMRS provide Intelligence Agents (IAs) and Multiple Document Summarization (MDS) to summarize recommendations on merchandise for MUs, all in real time.