標題: Mobile merchandise evaluation service using novel information retrieval and image recognition technology
作者: Lo, Chi-Chun
Kuo, Ting-Huan
Kung, Hsu-Yang
Kao, Hsiang-Ting
Chen, Chi-Hua
Wu, Che-I
Cheng, Ding-Yuan
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Information retrieval;Region adjacency graph;Self-organizing maps;Multiple document summarization;Mobile device
公開日期: 15-Feb-2011
摘要: 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. (C) 2010 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.comcom.2010.03.033
http://hdl.handle.net/11536/9299
ISSN: 0140-3664
DOI: 10.1016/j.comcom.2010.03.033
期刊: COMPUTER COMMUNICATIONS
Volume: 34
Issue: 2
起始頁: 120
結束頁: 128
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