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

Research output: Contribution to conferencePaperpeer-review

9 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 languageEnglish
DOIs
StatePublished - 2011
EventInternational Conference on Advanced in Control Engineering and Information Science (CEIS) - Dali, China
Duration: 18 Aug 201119 Aug 2011

Conference

ConferenceInternational Conference on Advanced in Control Engineering and Information Science (CEIS)
CountryChina
CityDali
Period18/08/1119/08/11

Keywords

  • SERVICE

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