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

資訊管理研究所

研究成果 › 同行評審

10 引文斯高帕斯（Scopus）

摘要

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]

原文	English
頁面	3174-3178
頁數	5
DOIs	https://doi.org/10.1016/j.proeng.2011.08.596
出版狀態	Published - 2011
事件	International Conference on Advanced in Control Engineering and Information Science (CEIS) - Dali, 中國持續時間: 18 8月 2011 → 19 8月 2011

Conference

Conference	International Conference on Advanced in Control Engineering and Information Science (CEIS)
國家/地區	中國
城市	Dali
期間	18/08/11 → 19/08/11

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10.1016/j.proeng.2011.08.596

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AU - Chen, Chi-Hua

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AU - Lo, Chi-Chun

PY - 2011

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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]

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

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