Multiple Clicks Model for Web Search of Multi-clickable Documents

Léa Laporte; Sébastien Déjean; Josiane Mothe

Multiple Clicks Model for Web Search of Multi-clickable Documents

Léa Laporte ¹ Sébastien Déjean ² Josiane Mothe ¹

1 IRIT - Institut de recherche en informatique de Toulouse

2 IMT - Institut de Mathématiques de Toulouse UMR5219

Abstract : This paper presents a novel document relevance model based on clickthrough information. Compared to the models from the literature we consider the case when documents can be clicked several times in a given search session. This case occurs more and more frequently, specifically for multi-clickable documents such as maps in location search enginess. Considering a real system query log, we evaluate our model and show that SVM can learn with fewer errors and with better MAP when the various types of clicks are considered in the model.

Keywords : Information retrieval Web search Clickthrough information Evaluation Document relevance model.

Type de document :

Communication dans un congrès

International Conference on Enterprise Information Systems (ICEIS 2013), Jul 2013, Angers, France. International Conference on Enterprise Information Systems (ICEIS 2013)

Domaine :

Informatique [cs] / Recherche d'information [cs.IR]

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https://hal.inria.fr/hal-01259547
Contributeur : Léa Laporte <>
Soumis le : mercredi 20 janvier 2016 - 15:49:54
Dernière modification le : vendredi 14 septembre 2018 - 09:16:06
Document(s) archivé(s) le : vendredi 11 novembre 2016 - 13:38:46

2013_ICEIS_LLDSMJ.pdf

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