Effective routine behavior pattern discovery from sparse mobile phone data via collaborative filtering

2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013

Volumn , Issue , 2013, Pages 29-37

  Zheng, Jiangchuan ^a   Liu, Siyuan ^c   Ni, Lionel M ^a,b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

collaborative filtering; human behavior learning; sparsity

Indexed keywords

BEHAVIOR PATTERNS; HUMAN ACTIVITIES; HUMAN BEHAVIOR LEARNING; MOBILE PHONE DATUM; MULTI-MODAL DATA; SINGLE USERS; SPARSITY; WEARABLE SENSORS;

CELLULAR TELEPHONES; COLLABORATIVE FILTERING; MOBILE PHONES; SENSORS; UBIQUITOUS COMPUTING;

E-LEARNING;

EID: 84880087243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerCom.2013.6526711     Document Type: Conference Paper

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