Two Models of Retrieval with Probabilistic Indexing.
Norbert Fuhr:
Two Models of Retrieval with Probabilistic Indexing.
SIGIR 1986: 249-257@inproceedings{DBLP:conf/sigir/Fuhr86,
author = {Norbert Fuhr},
title = {Two Models of Retrieval with Probabilistic Indexing},
booktitle = {SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval,
Pisa, Italy, September 8-10, 1986},
publisher = {ACM},
year = {1986},
pages = {249-257},
ee = {db/conf/sigir/Fuhr86.html},
crossref = {DBLP:conf/sigir/86},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
We describe two retrieval models for probabilistic indexing. The binary independence indexing (BII)
model is a generalized version of the Maron Kuhns indexing model. In this model, the indexing
weight of a descriptor in a document is an estimate of the probability of relevance of this document
with respect to queries using this descriptor. The retrieval-with-probabilistic-indexing (RPI) model is
suited to different kinds of probabilistic indexing. Therefore we assume that each indexing model has
its own concept of 'correctness' to which the probabilities relate. The concept of correctness is not
necessarily identical with the concept of relevance, it is only required to depend on relevance. In
addition to the probabilistic indexing weights, the RPI model provides the possibility of relevance
weighting of search terms. Both retrieval models are compared in experiments, showing equally good
results.
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BibTeX
Printed Edition
SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy, September 8-10, 1986.
ACM 1986
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