Application of least squares fit mapping to text information retrieval

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a unique example-based mapping method for document retrieval. We discovered that the knowledge about relevance among queries and documents can be used to obtain empirical connections between query terms and the canonical concepts which are used for indexing the content of documents. These connections do not depend on whether there are shared terms among the queries and documents; therefore, they are especially effective for a mapping from queries to the documents where the concepts are relevant but the terms used by article authors happen to be different from the terms of database users. We employ a Linear Least Squares Fit (LLSF) technique to compute such connections from a collection of queries and documents where the relevance is assigned by humans, and then use these connections in the retrieval of documents where the relevance is unknown. We tested this method on both retrieval and indexing with a set of MEDLINE documents which has been used by other information retrieval systems for evaluations. The effectiveness of the LLSF mapping and the significant improvement over alternative approaches was evident in the tests.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International ACM SIGIR Conference on Research and Development in Infofmation Retrieval
PublisherPubl by ACM
Pages281-290
Number of pages10
ISBN (Print)0897916050
StatePublished - Dec 1 1993
Externally publishedYes
EventProceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Pittsburgh, PA, USA
Duration: Jun 27 1993Jul 1 1993

Publication series

NameProceedings of the Annual International ACM SIGIR Conference on Research and Development in Infofmation Retrieval

Other

OtherProceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
CityPittsburgh, PA, USA
Period6/27/937/1/93

ASJC Scopus subject areas

  • Engineering(all)

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