메뉴 건너뛰기




Volumn 45, Issue 4, 2009, Pages 413-426

Assigning appropriate weights for the linear combination data fusion method in information retrieval

Author keywords

Data fusion; Information retrieval; The linear combination method; Weight assignment

Indexed keywords

COMPONENT RETRIEVAL; COMPONENT SYSTEMS; CORRESPONDING WEIGHTS; DATA FUSION METHODS; DYNAMIC ENVIRONMENTS; FUSION APPLICATIONS; FUSION PERFORMANCE; KEYPOINTS; LINEAR COMBINATIONS; OPTIMISATION METHOD; POWER FUNCTIONS; THE LINEAR COMBINATION METHOD; WEIGHT ASSIGNMENT;

EID: 67349231966     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2009.02.003     Document Type: Article
Times cited : (41)

References (27)
  • 13
    • 3843107966 scopus 로고    scopus 로고
    • From retrieval status values to probabilities of relevance for advanced IR applications
    • Nottelmann H., and Fuhr N. From retrieval status values to probabilities of relevance for advanced IR applications. Information Retrieval 6 3-4 (2003) 363-388
    • (2003) Information Retrieval , vol.6 , Issue.3-4 , pp. 363-388
    • Nottelmann, H.1    Fuhr, N.2
  • 14
    • 27644460388 scopus 로고    scopus 로고
    • Automatic ranking of information retrieval systems using fusion data
    • Nuray R., and Can F. Automatic ranking of information retrieval systems using fusion data. Information Processing and Management 42 3 (2006) 595-614
    • (2006) Information Processing and Management , vol.42 , Issue.3 , pp. 595-614
    • Nuray, R.1    Can, F.2
  • 19
    • 0001739133 scopus 로고    scopus 로고
    • Fusion via a linear combination of scores
    • Vogt C.C., and Cottrell G.W. Fusion via a linear combination of scores. Information Retrieval 1 3 (1999) 151-173
    • (1999) Information Retrieval , vol.1 , Issue.3 , pp. 151-173
    • Vogt, C.C.1    Cottrell, G.W.2
  • 21
    • 0038336780 scopus 로고    scopus 로고
    • Methods for ranking information retrieval systems without relevance judgments
    • SAC, pp
    • Wu, S., & Crestani, F. (2003). Methods for ranking information retrieval systems without relevance judgments. In Proceedings of the 2003 ACM symposium on applied computing (SAC) (pp. 811-816).
    • (2003) Proceedings of the 2003 ACM symposium on applied computing , pp. 811-816
    • Wu, S.1    Crestani, F.2
  • 22
    • 33751356367 scopus 로고    scopus 로고
    • Evaluating score normalization methods in data fusion
    • Proceedings of the third Asia information retrieval symposium
    • Wu, S., Crestani, F., & Bi, Y. (2006). Evaluating score normalization methods in data fusion. In Proceedings of the third Asia information retrieval symposium (LNCS 4182) (pp. 642-648).
    • (2006) LNCS , vol.4182 , pp. 642-648
    • Wu, S.1    Crestani, F.2    Bi, Y.3
  • 24
    • 33751512738 scopus 로고    scopus 로고
    • Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion
    • Wu S., and McClean S. Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion. Journal of American Society for Information Science and Technology 57 14 (2006) 1962-1973
    • (2006) Journal of American Society for Information Science and Technology , vol.57 , Issue.14 , pp. 1962-1973
    • Wu, S.1    McClean, S.2
  • 25
    • 29244440406 scopus 로고    scopus 로고
    • Performance prediction of data fusion for information retrieval
    • Wu S., and McClean S. Performance prediction of data fusion for information retrieval. Information Processing and Management 42 4 (2006) 899-915
    • (2006) Information Processing and Management , vol.42 , Issue.4 , pp. 899-915
    • Wu, S.1    McClean, S.2
  • 26
    • 34250217770 scopus 로고    scopus 로고
    • Result merging methods in distributed information retrieval with overlapping databases
    • Wu S., and McClean S. Result merging methods in distributed information retrieval with overlapping databases. Information Retrieval 10 3 (2007) 297-319
    • (2007) Information Retrieval , vol.10 , Issue.3 , pp. 297-319
    • Wu, S.1    McClean, S.2
  • 27
    • 56349101660 scopus 로고    scopus 로고
    • Applying statistical principles to data fusion in information retrieval
    • Wu S. Applying statistical principles to data fusion in information retrieval. Expert Systems with Applications 36 2 (2009) 2997-3006
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 2997-3006
    • Wu, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.