File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data

TitleCrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data
Authors
Lam, JCKLi, VOK
KeywordsCrowd intelligence
Multi-aspect characterization
Scenic spot profiling
Social media data fusion
Issue Date2018
Citation
Journal of Ambient Intelligence and Humanized Computing, 2018, 9, p. 2051-2060 How to Cite?
DOI: http://dx.doi.org/10.1007/s12652-017-0492-6
Persistent Identifierhttp://hdl.handle.net/10722/260451
ISSN
1868-5137
2021 Impact Factor: 3.662
2023 SCImago Journal Rankings: 1.038
ISI Accession Number ID
WOS:000446730900022

 

DC FieldValueLanguage
dc.contributor.authorLam, JCK-
dc.contributor.authorLi, VOK-
dc.date.accessioned2018-09-14T08:41:57Z-
dc.date.available2018-09-14T08:41:57Z-
dc.date.issued2018-
dc.identifier.citationJournal of Ambient Intelligence and Humanized Computing, 2018, 9, p. 2051-2060-
dc.identifier.issn1868-5137-
dc.identifier.urihttp://hdl.handle.net/10722/260451-
dc.languageeng-
dc.relation.ispartofJournal of Ambient Intelligence and Humanized Computing-
dc.subjectCrowd intelligence-
dc.subjectMulti-aspect characterization-
dc.subjectScenic spot profiling-
dc.subjectSocial media data fusion-
dc.titleCrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data-
dc.typeArticle-
dc.identifier.emailLam, JCK: h9992013@hkucc.hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLam, JCK=rp00864-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s12652-017-0492-6-
dc.identifier.scopuseid_2-s2.0-85049580976-
dc.identifier.hkuros291897-
dc.identifier.volume9-
dc.identifier.spage2051-
dc.identifier.epage2060-
dc.identifier.eissn1868-5145-
dc.identifier.isiWOS:000446730900022-
dc.identifier.issnl1868-5137-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats