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

Chi-Hua Chen; Ya-Ching Yang; Pei Liang Shih; Fang-Yi Lee; Chi-Chun Lo

doi:10.1016/j.proeng.2011.08.596

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

Chi-Hua Chen, Ya-Ching Yang, Pei Liang Shih, Fang-Yi Lee, Chi-Chun Lo

Institute of Information Management

Research output: Contribution to conference › Paper › peer-review

10 Scopus citations

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]

Original language	English
Pages	3174-3178
Number of pages	5
DOIs	https://doi.org/10.1016/j.proeng.2011.08.596
State	Published - 2011
Event	International Conference on Advanced in Control Engineering and Information Science (CEIS) - Dali, China Duration: 18 Aug 2011 → 19 Aug 2011

Conference

Conference	International Conference on Advanced in Control Engineering and Information Science (CEIS)
Country/Territory	China
City	Dali
Period	18/08/11 → 19/08/11

Keywords

SERVICE

Access to Document

10.1016/j.proeng.2011.08.596

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title = "A Cloud-Based Recommender System - A Case Study of Delicacy Recommendation",

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]",

keywords = "SERVICE",

author = "Chi-Hua Chen and Ya-Ching Yang and Shih, {Pei Liang} and Fang-Yi Lee and Chi-Chun Lo",

year = "2011",

doi = "10.1016/j.proeng.2011.08.596",

language = "English",

pages = "3174--3178",

note = "International Conference on Advanced in Control Engineering and Information Science (CEIS) ; Conference date: 18-08-2011 Through 19-08-2011",

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TY - CONF

T1 - A Cloud-Based Recommender System - A Case Study of Delicacy Recommendation

AU - Chen, Chi-Hua

AU - Yang, Ya-Ching

AU - Shih, Pei Liang

AU - Lee, Fang-Yi

AU - Lo, Chi-Chun

PY - 2011

Y1 - 2011

N2 - 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]

AB - 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]

KW - SERVICE

U2 - 10.1016/j.proeng.2011.08.596

DO - 10.1016/j.proeng.2011.08.596

M3 - Paper

SP - 3174

EP - 3178

T2 - International Conference on Advanced in Control Engineering and Information Science (CEIS)

Y2 - 18 August 2011 through 19 August 2011

ER -

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

Abstract

Conference

Keywords

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