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

被引：7
|
作者：
Chen, Chi-Hua [1 ]
Yang, Ya-Ching [1 ]
Shih, Pei-Liang [2 ]
Lee, Fang-Yi [1 ]
Lo, Chi-Chun [1 ]
机构：
[1] Natl Chiao Tung Univ, Inst Informat Management, Hsinchu, Taiwan
[2] Natl Chiao Tung Univ, Coll Comp Sci, Degree Program Comp Sci, Hsinchu 30050, Taiwan
来源：
CEIS 2011 | 2011年 / 15卷
关键词：
Delicacy Recommendation; Web Content Corpus; Automatic Text Summarization; Cloud-Based Recommender System; SERVICE;
D O I：
10.1016/j.proeng.2011.08.596
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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]
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页数：5
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