An efficient approach to generating location-sensitive recommendations in ad-hoc social network environments

IEEE Transactions on Services Computing

Volumn 8, Issue 3, 2015, Pages 520-533

  Hao, Fei ^a   Li, Shuai ^b,c   Min, Geyong ^d   Kim, Hee Cheol ^b   Yau, Stephen S ^e   Yang, Laurence T ^a,f  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Inje University   (South Korea)

^c UNIVERSITY OF INSUBRIA   (Italy)

^d UNIVERSITY OF EXETER   (United Kingdom)

^e ARIZONA STATE UNIVERSITY   (United States)

^f ST FRANCIS XAVIER UNIVERSITY   (Canada)

Author keywords

Rating prediction; recommendation; social networks; spatial social union; sustainablility

Indexed keywords

ALGORITHMS; FORECASTING; LOCATION; RATING; SOCIAL NETWORKING (ONLINE);

IMPLICIT SOCIAL NETWORKS; LOCATION-BASED SOCIAL NETWORKS; RECOMMENDATION; RECOMMENDATION ALGORITHMS; RECOMMENDATION MECHANISM; SIMILARITY MEASUREMENTS; SPATIAL SOCIAL UNION; SUSTAINABLILITY;

LOCATION BASED SERVICES;

EID: 84932644008     PISSN: 19391374     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSC.2015.2401833     Document Type: Article

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