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dc.contributor.authorLo, Chi-Chunen_US
dc.contributor.authorKuo, Ting-Huanen_US
dc.contributor.authorKung, Hsu-Yangen_US
dc.contributor.authorKao, Hsiang-Tingen_US
dc.contributor.authorChen, Chi-Huaen_US
dc.contributor.authorWu, Che-Ien_US
dc.contributor.authorCheng, Ding-Yuanen_US
dc.date.accessioned2014-12-08T15:12:08Z-
dc.date.available2014-12-08T15:12:08Z-
dc.date.issued2011-02-15en_US
dc.identifier.issn0140-3664en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.comcom.2010.03.033en_US
dc.identifier.urihttp://hdl.handle.net/11536/9299-
dc.description.abstractConsumers' 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.en_US
dc.language.isoen_USen_US
dc.subjectInformation retrievalen_US
dc.subjectRegion adjacency graphen_US
dc.subjectSelf-organizing mapsen_US
dc.subjectMultiple document summarizationen_US
dc.subjectMobile deviceen_US
dc.titleMobile merchandise evaluation service using novel information retrieval and image recognition technologyen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.comcom.2010.03.033en_US
dc.identifier.journalCOMPUTER COMMUNICATIONSen_US
dc.citation.volume34en_US
dc.citation.issue2en_US
dc.citation.spage120en_US
dc.citation.epage128en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000287343000002-
dc.citation.woscount5-
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