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Volumn , Issue , 2013, Pages 1321-1323

Living analytics methods for the web observatory

Author keywords

Big fast data; Collective intelligence; Recommender systems; Web observatory

Indexed keywords

BIG DATA; OBSERVATORIES;

EID: 84893142097     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487788.2488169     Document Type: Conference Paper
Times cited : (2)

References (14)
  • 6
    • 80053963768 scopus 로고    scopus 로고
    • Detecting health events on the social web to enable epidemic intelligence
    • volume 7024 of Lecture Notes in Computer Science. SPIRE'11, Springer Berlin Heidelberg
    • M. Fisichella, A. Stewart, A. Cuzzocrea, and K. Denecke. Detecting Health Events on The Social Web To Enable Epidemic Intelligence. In String Processing and Information Retrieval, volume 7024 of Lecture Notes in Computer Science. SPIRE'11, pages 87-103. Springer Berlin Heidelberg, 2011.
    • (2011) String Processing and Information Retrieval , pp. 87-103
    • Fisichella, M.1    Stewart, A.2    Cuzzocrea, A.3    Denecke, K.4
  • 7
    • 84865244944 scopus 로고    scopus 로고
    • Computational social science: Making the links
    • Aug.
    • J. Giles. Computational Social Science: Making The Links. Nature, 488(7412):448-450, Aug. 2012.
    • (2012) Nature , vol.488 , Issue.7412 , pp. 448-450
    • Giles, J.1
  • 9
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • August
    • Y. Koren, R. Bell, and C. Volinsky. Matrix Factorization Techniques For Recommender Systems. Computer, August 2009.
    • (2009) Computer
    • Koren, Y.1    Bell, R.2    Volinsky, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.