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Volumn , Issue , 2011, Pages 151-152

Mining collective local knowledge from Google MyMaps

Author keywords

geo tagged data; place recommendation; user generated content

Indexed keywords

LOCATION-AWARE; LOCATION-BASED SERVICES; NEW YORK CITY; PLACE RECOMMENDATION; TAGGED DATA; URBAN SPACES; USER-GENERATED CONTENT;

EID: 79955127852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1963192.1963269     Document Type: Conference Paper
Times cited : (8)

References (4)
  • 1
    • 36348963718 scopus 로고    scopus 로고
    • World explorer: Visualizing aggregate data from unstructured text in geo-referenced collections
    • S. Ahern, M. Naaman, R. Nair, and J. Yang. World explorer: Visualizing aggregate data from unstructured text in geo-referenced collections. In JCDL 2007.
    • JCDL 2007
    • Ahern, S.1    Naaman, M.2    Nair, R.3    Yang, J.4
  • 3
    • 36448986338 scopus 로고    scopus 로고
    • Towards automatic extraction of event and place semantics from flickr tags
    • T. Rattenbury, N. Good, and M. Naaman. Towards automatic extraction of event and place semantics from flickr tags. In SIGIR 2007.
    • SIGIR 2007
    • Rattenbury, T.1    Good, N.2    Naaman, M.3
  • 4
    • 0038003568 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW 2001.
    • WWW 2001
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Reidl, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.