A Cloud-Based Recommender System - A Case Study of Delicacy Recommendation
| dc.citation.volume | 15 | en_US |
| 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.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.date.accessioned | 2014-12-08T15:22:30Z | |
| dc.date.available | 2014-12-08T15:22:30Z | |
| dc.date.issued | 2011 | en_US |
| 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.identifier.issn | 1877-7058 | en_US |
| dc.identifier.journal | CEIS 2011 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/15905 | |
| dc.identifier.wosnumber | WOS:000300876503042 | |
| 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 |