메뉴 건너뛰기




Volumn , Issue , 2012, Pages 2491-2494

Temporal models for microblogs

Author keywords

microblogs; query expansion; time based model

Indexed keywords

MICRO-BLOG; MICROBLOGS; PSEUDO RELEVANCE FEEDBACK; QUERY EXPANSION; RETRIEVAL PERFORMANCE; RETRIEVED DOCUMENTS; TEMPORAL ASPECTS; TEMPORAL DISTRIBUTION; TEMPORAL MODELS; TIME INFORMATION; TIME-PERIODS; USER BEHAVIORS;

EID: 84871060508     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398674     Document Type: Conference Paper
Times cited : (34)

References (18)
  • 2
  • 3
    • 8644252773 scopus 로고    scopus 로고
    • Using temporal profiles of queries for precision prediction
    • F. Diaz and R. Jones. Using temporal profiles of queries for precision prediction. In SIGIR'04, 2004.
    • (2004) SIGIR'04
    • Diaz, F.1    Jones, R.2
  • 4
    • 80052137217 scopus 로고    scopus 로고
    • Estimation Methods for Ranking Recent Information
    • M. Efron and G. Golovchinsky. Estimation Methods for Ranking Recent Information. In SIGIR'11, 2011.
    • (2011) SIGIR'11
    • Efron, M.1    Golovchinsky, G.2
  • 5
    • 79955141054 scopus 로고    scopus 로고
    • Predicting popular messages in twitter
    • L. Hong, O. Dan, and B. D. Davison. Predicting popular messages in twitter. In WWW'11, 2011.
    • (2011) WWW'11
    • Hong, L.1    Dan, O.2    Davison, B.D.3
  • 8
    • 77954619566 scopus 로고    scopus 로고
    • What is Twitter, a Social Network or a News Media?
    • H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a Social Network or a News Media?. In WWW'10, 2010.
    • (2010) WWW'10
    • Kwak, H.1    Lee, C.2    Park, H.3    Moon, S.4
  • 9
    • 0034785304 scopus 로고    scopus 로고
    • Relevance-based language models
    • V. Lavrenko, W. B. Croft. Relevance-based language models. In SIGIR'01, 2001.
    • (2001) SIGIR'01
    • Lavrenko, V.1    Croft, W.B.2
  • 10
    • 8644258207 scopus 로고    scopus 로고
    • Time-based language models
    • X. Li and W. B. Croft. Time-based language models. In CIKM'03, 2003.
    • (2003) CIKM'03
    • Li, X.1    Croft, W.B.2
  • 11
    • 84858056127 scopus 로고    scopus 로고
    • Incorporating query expansion and quality indicators in searching microblog posts
    • K. Massoudi, E. Tsagkias, M. de Rijke, and W. Weerkamp. Incorporating query expansion and quality indicators in searching microblog posts. In ECIR'11, 2011.
    • (2011) ECIR'11
    • Massoudi, K.1    Tsagkias, E.2    De Rijke, M.3    Weerkamp, W.4
  • 12
    • 84926215963 scopus 로고    scopus 로고
    • Structured Event Retrieval over Microblog Archives
    • D. Metzler, C. Cai, E. Hovy, Structured Event Retrieval over Microblog Archives, NAACL-HLT '12, 2012.
    • (2012) NAACL-HLT '12
    • Metzler, D.1    Cai, C.2    Hovy, E.3
  • 13
    • 84885662673 scopus 로고    scopus 로고
    • A Markov random field model for term dependencies
    • D. Metzler, W. B. Croft. A Markov random field model for term dependencies. In SIGIR'05, 2005.
    • (2005) SIGIR'05
    • Metzler, D.1    Croft, W.B.2
  • 14
    • 83055192007 scopus 로고    scopus 로고
    • Searching microblogs: Coping with sparsity and document quality
    • N. Naveed, T. Gottron, J. Kunegis, and A. Che Alhadi. Searching microblogs: Coping with sparsity and document quality. In CIKM'11, 2011.
    • (2011) CIKM'11
    • Naveed, N.1    Gottron, T.2    Kunegis, J.3    Che Alhadi, A.4
  • 17
    • 63449088172 scopus 로고    scopus 로고
    • A Comparison of Statistical Significance Tests for Information Retrieval Evaluation
    • M. D. Smucker, J. Allan, B. Carterette, A Comparison of Statistical Significance Tests for Information Retrieval Evaluation, In CIKM'07, 2007.
    • (2007) CIKM'07
    • Smucker, M.D.1    Allan, J.2    Carterette, B.3
  • 18
    • 79952436810 scopus 로고    scopus 로고
    • #Twittersearch: A comparison of microblog search and web search
    • J. Teevan, D. Ramage, and M. Morris. #Twittersearch: A comparison of microblog search and web search. In WSDM'11, 2011.
    • (2011) WSDM'11
    • Teevan, J.1    Ramage, D.2    Morris, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.