DMCA
COMBINING APPROACHES TO INFORMATION RETRIEVAL
Cached
Download Links
| Citations: | 114 - 3 self |
BibTeX
@MISC{Croft_combiningapproaches,
author = {W. Bruce Croft},
title = { COMBINING APPROACHES TO INFORMATION RETRIEVAL},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
The combination of different text representations and search strategies has become a standard technique for improving the effectiveness of information retrieval. Combination, for example, has been studied extensively in the TREC evaluations and is the basis of the “meta-search” engines used on the Web. This paper examines the development of this technique, including both experimental results and the retrieval models that have been proposed as formal frameworks for combination. We show that combining approaches for information retrieval can be modeled as combining the outputs of multiple classifiers based on one or more representations, and that this simple model can provide explanations for many of the experimental results. We also show that this view of combination is very similar to the inference net model, and that a new approach to retrieval based on language models supports combination and can be integrated with the inference net model.
Keyphrases
combining approach information retrieval inference net model information retrieval experimental result meta-search engine trec evaluation simple model different text representation language model search strategy multiple classifier new approach retrieval model formal framework standard technique
