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Probabilistic Learning Approaches for Indexing and Retrieval with the TREC-2 Collection (1994)
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| Venue: | In The Second Text Retrieval Conference (TREC-2). National Institute of Standards and Technology |
| Citations: | 9 - 0 self |
BibTeX
@INPROCEEDINGS{Fuhr94probabilisticlearning,
author = {Norbert Fuhr and Ulrich Pfeifer and Christoph Bremkamp and Michael Pollmann and Chris Buckley},
title = {Probabilistic Learning Approaches for Indexing and Retrieval with the TREC-2 Collection},
booktitle = {In The Second Text Retrieval Conference (TREC-2). National Institute of Standards and Technology},
year = {1994},
pages = {67--74}
}
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Abstract
this paper, we describe some improvements of the indexing and retrieval procedures. Due to the tight schedule of TREC-2, we also mention some work that is still under way, so it could not be considered for the official runs. In the following, we first describe the document indexing procedure which is based on description-oriented indexing in combination with polynomial regression. Section 3 describes query term weighting for adhoc queries, where we have developed a new learning method based on a learning sample of other queries and corresponding relevance judgements. In section 4, the construction of the routing queries is presented, which is based on the probabilistic RPI retrieval model for query-specific feedback data. The experiments that led to the official runs are specified in section 5. 2 Document indexing
Keyphrases
probabilistic learning approach trec-2 collection official run retrieval procedure query-specific feedback data routing query probabilistic rpi retrieval model polynomial regression document indexing relevance judgement adhoc query description-oriented indexing document indexing procedure learning sample describes query term tight schedule
