Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service

Abdar, Moloud and Yen, Neil Y. 2017, Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service, Library Hi Tech, vol. 35, no. 4, pp. 521-541, doi: 10.1108/LHT-01-2017-0030.

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Title Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service
Author(s) Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Yen, Neil Y.
Journal name Library Hi Tech
Volume number 35
Issue number 4
Start page 521
End page 541
Total pages 21
Publisher Emerald
Place of publication Bingley, Eng.
Publication date 2017-11-20
ISSN 0737-8831
Keyword(s) Rating Matching Rate (RMRate)
Feature discovery
Sharing economy
Airbnb
Decision tree
Optimization
Language eng
DOI 10.1108/LHT-01-2017-0030
Indigenous content off
Field of Research 0807 Library and Information Studies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30134027

Document type: Journal Article
Collections: Training - Quality check
Deputy Vice-Chancellor Research Group
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Citation counts: TR Web of Science Citation Count  Cited 10 times in TR Web of Science
Scopus Citation Count Cited 12 times in Scopus
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