Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Toly | en_US |
dc.date.accessioned | 2018-08-21T05:52:46Z | - |
dc.date.available | 2018-08-21T05:52:46Z | - |
dc.date.issued | 2017-04-01 | en_US |
dc.identifier.issn | 0884-8173 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1002/int.21863 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/143931 | - |
dc.description.abstract | Ubiquitous hotel recommendation is a highly popular type of location- aware service. However, existing recommendation systems have several problems. This paper proposes a fuzzy-weighted-average (FWA) and backpropagation-network (BPN) approach for overcoming the hindrances of ubiquitous hotel recommendation and improving its effectiveness, whereby FWA is applied to evaluate the overall performance of a hotel. A BPN was constructed to defuzzify the overall performance. In addition, the personally preferred index is proposed for addressing the traveler choices of a dominated hotel. The effectiveness of the proposed methodology was tested using a field study in a small region in Seatwen, Taichung City, Taiwan.(C) 2016 Wiley Periodicals, Inc. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Ubiquitous Hotel Recommendation Using a Fuzzy-Weighted-Average and Backpropagation-Network Approach | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1002/int.21863 | en_US |
dc.identifier.journal | INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | en_US |
dc.citation.volume | 32 | en_US |
dc.contributor.department | 工業工程與管理學系 | zh_TW |
dc.contributor.department | Department of Industrial Engineering and Management | en_US |
dc.identifier.wosnumber | WOS:000394896500002 | en_US |
Appears in Collections: | Articles |