论文信息 - Employing the resolution power of search keys

Employing the resolution power of search keys

Search key resolution power is analyzed in the context of a request, i.e., among the set of search keys for the request. Methods of characterizing the resolution power of keys automatically are studied and the effects search keys of varying resolution power have on retrieval effectiveness are analyzed. It is shown that it often is possible to identify the best key of a query while the discrimination between the remaining keys presents problems. It is also shown that query performance is improved by suitably using the best key in a structured query. The tests were run with InQuery in a subcollection of the TREC collection, which contained some 515.000 documents.

Kalervo Järvelin | Ari Pirkola

[1] Donna K. Harman,et al. Overview of the Second Text REtrieval Conference (TREC-2) , 1994, HLT.

[2] W. Bruce Croft,et al. INQUERY System Overview , 1993, TIPSTER.

[3] James Allan,et al. INQUERY at TREC-5 , 1996, TREC.

[4] Gregory Grefenstette,et al. Cross-Language Information Retrieval , 1998, The Springer International Series on Information Retrieval.

[5] Peter Willett,et al. The limitations of term co-occurrence data for query expansion in document retrieval systems , 1991, J. Am. Soc. Inf. Sci..

[6] Ari Pirkola,et al. Studies on Linguistic Problems and Methods in Text Retrieval: The Effects of Anaphor and Ellipsis Resolution in Proximity Searching, and Translation and Query Structuring Methods in Cross-Language Retrieval , 1999 .

[7] Michael McGill,et al. Introduction to Modern Information Retrieval , 1983 .

[8] Ari Pirkola,et al. The effects of query structure and dictionary setups in dictionary-based cross-language information retrieval , 1998, SIGIR '98.

[9] Jaana Kekäläinen,et al. The impact of query structure and query expansion on retrieval performance , 1998, SIGIR '98.

[10] Kalervo Järvelin,et al. The Effects of Conjunction, Facet Structure, and Dictionary Combinations in Concept-Based Cross-Language Retrieval , 2004, Information Retrieval.