Paper Info
Title
Mobile merchandise evaluation service using novel information retrieval and image recognition technology
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.
Year
DOI
Venue
2011
10.1016/j.comcom.2010.03.033
Computer Communications
Keywords
DocType
Volume
Information retrieval,Region adjacency graph,Self-organizing maps,Multiple document summarization,Mobile device
Journal
34
Issue
ISSN
Citations 
2
Computer Communications
5
PageRank 
References 
Authors
0.48
14
7
Name
Order
Citations
PageRank
Chi-Chun Lo159354.99
Ting-Huan Kuo251.49
Hsu-Yang Kung39115.97
Hsiang-Ting Kao450.48
Chi-Hua Chen56618.92
Che-I Wu6152.13
Ding-Yuan Cheng7434.73