Relevance ranking for one to three term queries

We investigate the application of a novel relevance ranking technique, cover density ranking, to the requirements of Web-based information retrieval, where a typical query consists of a few search terms and a typical result consists of a page indicating several potentially relevant documents. Tradit...

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Bibliographic Details
Published in:Information processing & management 2000-03, Vol.36 (2), p.291-311
Main Authors: Clarke, Charles L.A., Cormack, Gordon V., Tudhope, Elizabeth A.
Format: Article
Language:English
Subjects:
Comparative Analysis
Exact sciences and technology
Information and communication sciences
Information Retrieval
Information retrieval systems. Information and document management system
Information science. Documentation
Interfaces. Software
Lexical Density
Mathematical Formulas
Online information retrieval
Program Implementation
Query Formulations
Ranking
Ranking systems
Relevance
Relevance (Information Retrieval)
Sciences and techniques of general use
Searching
Statistical analysis
Studies
Subject Index Terms
World Wide Web
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Summary:We investigate the application of a novel relevance ranking technique, cover density ranking, to the requirements of Web-based information retrieval, where a typical query consists of a few search terms and a typical result consists of a page indicating several potentially relevant documents. Traditional ranking methods for information retrieval, based on term and inverse document frequencies, have been found to work poorly in this context. Under the cover density measure, ranking is based on term proximity and cooccurrence. Experimental comparisons show performance that compares favorably with previous work.
ISSN:0306-4573
1873-5371
DOI:10.1016/S0306-4573(99)00017-5