Retrieval evaluation with incomplete information

作者: Chris Buckley , Ellen M. Voorhees

DOI: 10.1145/1008992.1009000

关键词:

摘要: … One goal of the paper is to investigate whether unbiased incomplete … are imperfect [10] rather than simply incomplete. A second goal of the paper is to investigate the effect of imperfect …

参考文章(19)
C. J. Van Rijsbergen, Karen Sparck Jones, Report on the need for and provision of an 'ideal' information retrieval test collection University of Toronto. ,(1975)
E. Voorhees, Overview of the Seventh Text REtrieval Conference text retrieval conference. pp. 1- 24 ,(1998)
Ellen M. Voorhees, The Philosophy of Information Retrieval Evaluation Lecture Notes in Computer Science. ,vol. 2406, pp. 355- 370 ,(2002) , 10.1007/3-540-45691-0_34
Michael B. Eisenberg, Measuring relevance judgements Information Processing and Management. ,vol. 24, pp. 373- 390 ,(1988) , 10.1016/0306-4573(88)90042-8
Ian Soboroff, Charles Nicholas, Patrick Cahan, Ranking retrieval systems without relevance judgments international acm sigir conference on research and development in information retrieval. pp. 66- 73 ,(2001) , 10.1145/383952.383961
Ellen M. Voorhees, Chris Buckley, The effect of topic set size on retrieval experiment error Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '02. pp. 316- 323 ,(2002) , 10.1145/564376.564432
H.P. Frei, P. Schäuble, Determining the effectiveness of retrieval algorithms Information Processing and Management. ,vol. 27, pp. 153- 164 ,(1991) , 10.1016/0306-4573(91)90046-O
K. SPARCK JONES, C.J. VAN RIJSBERGEN, INFORMATION RETRIEVAL TEST COLLECTIONS Journal of Documentation. ,vol. 32, pp. 59- 72 ,(1976) , 10.1108/EB026616
Y.Y. Yao, Measuring retrieval effectiveness based on user preference of documents Journal of the American Society for Information Science. ,vol. 46, pp. 133- 145 ,(1995) , 10.1002/(SICI)1097-4571(199503)46:2<133::AID-ASI6>3.0.CO;2-Z