Selective Query processing: A Risk Sensitive Approach -Abstract - Systèmes d’Informations Généralisées Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Selective Query processing: A Risk Sensitive Approach -Abstract

Résumé

While search engines apply a single optimised search strategy to any user query, selective search, like selective query expansion, aims to apply an adapted search strategy to each query. Search phases include query expansion, search-weighting model, and document ranking. A search strategy is defined by the combination of components and their hyperparameters in these phases. The number of possible search strategies is huge. In this paper, we describe a risk-sensitive approach to optimise the set of search strategies that should be included in a selective search approach. It solves the problem of which and how many search strategies to include in the system. We found that using 20 search strategies is an appropriate trade-off between effectiveness and system complexity. Significant effectiveness improvement is about 23% when compared to L2R documents and about 10% when compared to other selective approaches. This paper is an extended abstract of our paper at CIKM 2021 1 .
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hal-03853742 , version 1 (15-11-2022)
hal-03853742 , version 2 (16-11-2022)

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  • HAL Id : hal-03853742 , version 2

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Josiane Mothe, Md Zia Ullah. Selective Query processing: A Risk Sensitive Approach -Abstract. 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), Jul 2022, Samatan, Gers, France. pp.1335-1345. ⟨hal-03853742v2⟩
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