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@inproceedings{DBLP:conf/sigir/Aalbersberg94,
author = {IJsbrand Jan Aalbersberg},
editor = {W. Bruce Croft and
C. J. van Rijsbergen},
title = {A Document Retrieval Model Based on Term Frequency Ranks},
booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
on Research and Development in Information Retrieval. Dublin,
Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
publisher = {ACM/Springer},
year = {1994},
isbn = {3-540-19889-X},
pages = {163-172},
ee = {db/conf/sigir/Aalbersberg94.html},
crossref = {DBLP:conf/sigir/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
This paper introduces a new full-text document retrieval model that is based on comparing oc-currence frequent y rank numbers of terms in queries and documents.
More precisely, to compute the similarity between a query and a document, this new model first ranks the terms in the query and in the document on decreasing occurrence frequency. Next, for each term, it computes a local similarity between the query and the document, by calculating a weighted difference between the term's rank number in the query and its rank number in the document. Finally, it collects all those local similarities and unifies them into one global similarity between the query and the document.
In this paper we also demonstrate that the effectiveness of this new full-text document retrieval model is comparable with that of the standard vector-space retrieval model.
Copyright © 1994 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.