A Cloud-Based Recommender System - A Case Study of Delicacy Recommendation

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DC Field	Value	Language
dc.contributor.author	Chen, Chi-Hua	en_US
dc.contributor.author	Yang, Ya-Ching	en_US
dc.contributor.author	Shih, Pei-Liang	en_US
dc.contributor.author	Lee, Fang-Yi	en_US
dc.contributor.author	Lo, Chi-Chun	en_US
dc.date.accessioned	2014-12-08T15:22:30Z	-
dc.date.available	2014-12-08T15:22:30Z	-
dc.date.issued	2011	en_US
dc.identifier.issn	1877-7058	en_US
dc.identifier.uri	http://hdl.handle.net/11536/15905	-
dc.description.abstract	Delicacy recommendation services are the trend of the future. In this paper, we propose an effective decision support systems (DSS), the Cloud-Based Recommender System (CBRS), which provides the introduction and commentaries of delicacies and restaurants with relevant recommendation. CBRS provides the web content retrieval agent (WCRA) and multiple document summarization (MDS) technology to generate summary of commentaries. Finally, CBRS combines with the cloud computing for MDS to provide delicacy recommendation services. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]	en_US
dc.language.iso	en_US	en_US
dc.subject	Delicacy Recommendation	en_US
dc.subject	Web Content Corpus	en_US
dc.subject	Automatic Text Summarization	en_US
dc.subject	Cloud-Based Recommender System	en_US
dc.title	A Cloud-Based Recommender System - A Case Study of Delicacy Recommendation	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	CEIS 2011	en_US
dc.citation.volume	15	en_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.department	Department of Information Management and Finance	en_US
dc.identifier.wosnumber	WOS:000300876503042	-
Appears in Collections:	Conferences Paper

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