Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Multiple Clicks Model for Web Search of Multi-clickable Documents

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download
Contributor : Léa LAPORTE Connect in order to contact the contributor
Submitted on : Wednesday, January 20, 2016 - 3:49:54 PM
Last modification on : Monday, July 4, 2022 - 9:46:44 AM
Long-term archiving on: : Friday, November 11, 2016 - 1:38:46 PM


Files produced by the author(s)


  • HAL Id : hal-01259547, version 1


Léa Laporte, Sébastien Dejean, Josiane Mothe. Multiple Clicks Model for Web Search of Multi-clickable Documents. International Conference on Enterprise Information Systems (ICEIS 2013), Jul 2013, Angers, France. ⟨hal-01259547⟩



Record views


Files downloads