Learning from contextual information of geo-tagged web photos to rank personalized tourism attractions

Neurocomputing

Volumn 119, Issue , 2013, Pages 17-25

  Jiang, Kai ^a   Yin, Huagang ^a   Wang, Peng ^a   Yu, Nenghai ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Contextual information; Geo tagged photo; RankSVM; Tourism recommendation

Indexed keywords

CONTEXTUAL INFORMATION; GEO-TAGGED PHOTO; PERSONALIZED TOURISMS; RANKSVM; STATE-OF-THE-ART METHODS; TEMPORAL FLUCTUATION; TOURISM RECOMMENDATION; USER'S PREFERENCES;

COMPUTER APPLICATIONS; NEURAL NETWORKS;

BEHAVIORAL RESEARCH;

ALGORITHM; ARTICLE; CONTEXTUAL INFORMATION; GEO TAGGING; GEOGRAPHY; IMAGE PROCESSING; INFORMATION; INFORMATION PROCESSING; INTERNET; PHOTOGRAPHY; PREDICTION; PRIORITY JOURNAL; TOURISM; TRAVEL; VISUAL INFORMATION;

EID: 84881559404     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.02.049     Document Type: Article

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