Some considerations for using approximate optimal queries

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Some considerations for using approximate optimal queries

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

New Orleans, Louisiana, United States

Pages: 19 - 23

Year of Publication: 1987

ISBN:0-89791-232-2

Author

K. L. Kwok

Computer Science Department, Queens College, City University of New York, Flushing, New York, USA

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 11, Citation Count: 0

Additional Information:

abstract references index terms collaborative colleagues peer to peer

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ABSTRACT

An optimal query has been defined as one which will recover all the known relevant documents of a query in their best probability of relevance ranking. We have slightly modified the definition so that it also allows one to trace its evolution from the original to the optimal via the various feedback stages. Such a query can be constructed by modifying the original query with terms from the known relevant documents. It is pointed out that such a term addition strategy differs materially from other approaches that add terms based on term association with all query terms, and calculated from the whole document collection. The effect of viewing a document as constituted of components, and hence affecting the weighting and retreival results of of the optimal query, is also discussed.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Gerard Salton , Michael J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, 1986
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	15	K. L. Kwok, An interpretation of index term weighting schemes based on document components, Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval, p.275-283, September 1986, Palazzo dei Congressi, Pisa, Italy [doi>10.1145/253168.253226]
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INDEX TERMS

Primary Classification:
H. Information Systems
H.3 INFORMATION STORAGE AND RETRIEVAL
H.3.3 Information Search and Retrieval
Subjects: Query formulation

General Terms:
Languages, Performance

Collaborative Colleagues:

K. L. Kwok: colleagues

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