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Conference Paper: A Personalized Travel System Based on Crowdsourcing Model

TitleA Personalized Travel System Based on Crowdsourcing Model
Authors
Issue Date2014
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 10th International Conference on Advanced Data Mining and Applications (ADMA) 2014, Guilin, China, 19-21 December 2014. In the Lecture Notes in Computer Science, 2014, v. 8933, p. 163-174 How to Cite?
AbstractWith the proliferation of the online tourism markets, and the rapid change of tourists demands, existing online travel platforms cannot satisfy tourists to some extent, since their tourism demands tend to be more personalized and dynamic. Based on the above motivations, we design and develop a personalized tourism system based on a novel cooperation crowdsourcing model through the Internet. More importantly, data quality control based on the crowdsourcing model is a key problem which affects the accuracy and effectiveness of tourist recommendation. To address this problem, we propose three data quality control schemes for personalized tours based on the crowdsourcing model. Extensive experiments validate the effectiveness of our proposed approach.
DescriptionLecture Notes in Computer Science, vol. 8933 entitled:Advanced data mining and applications: 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014: proceedings
Persistent Identifierhttp://hdl.handle.net/10722/207813
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorZhuang, Yen_US
dc.contributor.authorFei, Zen_US
dc.contributor.authorChiu, KWDen_US
dc.contributor.authorJu, Cen_US
dc.contributor.authorJiang, Ben_US
dc.date.accessioned2015-01-19T11:03:36Z-
dc.date.available2015-01-19T11:03:36Z-
dc.date.issued2014en_US
dc.identifier.citationThe 10th International Conference on Advanced Data Mining and Applications (ADMA) 2014, Guilin, China, 19-21 December 2014. In the Lecture Notes in Computer Science, 2014, v. 8933, p. 163-174en_US
dc.identifier.isbn9783319147161-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/207813-
dc.descriptionLecture Notes in Computer Science, vol. 8933 entitled:Advanced data mining and applications: 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014: proceedings-
dc.description.abstractWith the proliferation of the online tourism markets, and the rapid change of tourists demands, existing online travel platforms cannot satisfy tourists to some extent, since their tourism demands tend to be more personalized and dynamic. Based on the above motivations, we design and develop a personalized tourism system based on a novel cooperation crowdsourcing model through the Internet. More importantly, data quality control based on the crowdsourcing model is a key problem which affects the accuracy and effectiveness of tourist recommendation. To address this problem, we propose three data quality control schemes for personalized tours based on the crowdsourcing model. Extensive experiments validate the effectiveness of our proposed approach.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.titleA Personalized Travel System Based on Crowdsourcing Modelen_US
dc.typeConference_Paperen_US
dc.identifier.emailChiu, KWD: dchiu88@hku.hken_US
dc.identifier.doi10.1007/978-3-319-14717-8_13en_US
dc.identifier.scopuseid_2-s2.0-84918810737-
dc.identifier.hkuros242093en_US
dc.identifier.volume8933en_US
dc.identifier.spage163en_US
dc.identifier.epage174en_US
dc.publisher.placeGermany-

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