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Volumn 2006, Issue , 2006, Pages 332-339

User modeling for full-text federated search in peer-to-peer networks

Author keywords

Federated search; Peer to peer; Query clustering; User modeling

Indexed keywords

COMPUTER SIMULATION; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; QUERY LANGUAGES; ACCESS CONTROL; COMPUTER NETWORKS; ROBUST CONTROL; USER INTERFACES;

EID: 33750361480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148229     Document Type: Conference Paper
Times cited : (43)

References (21)
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  • 9
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    • J. Lu and J. Callan. Federated search of text-based digital libraries in hierarchical peer-to-peer networks. In Proc. of ECIR 2005.
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    • Lu, J.1    Callan, J.2
  • 10
    • 33750375030 scopus 로고    scopus 로고
    • Technical report CMU-LTI-05-197, Language Technologies Institute, Carnegie Mellon University
    • J. Lu. Full-text federated search in peer-to-peer networks. Technical report CMU-LTI-05-197, Language Technologies Institute, Carnegie Mellon University, 2005.
    • (2005) Full-text Federated Search in Peer-to-peer Networks
    • Lu, J.1
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    • Context-sensitive information retrieval using implicit feedback
    • X. Shen, B. Tan and C. Zhai. Context-sensitive information retrieval using implicit feedback. In Proc. of SIGIR 2005.
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    • Shen, X.1    Tan, B.2    Zhai, C.3
  • 16
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    • Efficient content location using interest-based locality in peer-to-peer systems
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    • Sripanidkulchai, K.1    Maggs, B.2    Zhang, H.3
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  • 19
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    • Personalizing search via automated analysis of interests and activities
    • J. Teevan, S. Dumais and E. Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. of SIGIR 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.