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ECIR
2007
Springer

Multinomial Randomness Models for Retrieval with Document Fields

14 years 10 months ago
Multinomial Randomness Models for Retrieval with Document Fields
Document fields, such as the title or the headings of a document, offer a way to consider the structure of documents for retrieval. Most of the proposed approaches in the literature employ either a linear combination of scores assigned to different fields, or a linear combination of frequencies in the term frequency normalisation component. In the context of the Divergence From Randomness framework, we have a sound opportunity to integrate document fields in the probabilistic randomness model. This paper introduces novel probabilistic models for incorporating fields in the retrieval process using a multinomial randomness model and its information theoretic approximation. The evaluation results from experiments conducted with a standard TREC Web test collection show that the proposed models perform as well as a state-of-the-art field-based weighting model, while at the same time, they are theoretically founded and more extensible than current field-based models.
Vassilis Plachouras, Iadh Ounis
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ECIR
Authors Vassilis Plachouras, Iadh Ounis
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