Multiple Clicks Model for Web Search of Multi-clickable Documents

Léa Laporte, Sébastien Déjean, Josiane Mothe

2013

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.

Paper Citation

in Harvard Style

Laporte L., Déjean S. and Mothe J. (2013). Multiple Clicks Model for Web Search of Multi-clickable Documents . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 298-303. DOI: 10.5220/0004553902980303

in Bibtex Style

@conference{iceis13,
author={Léa Laporte and Sébastien Déjean and Josiane Mothe},
title={Multiple Clicks Model for Web Search of Multi-clickable Documents},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={298-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004553902980303},
isbn={978-989-8565-59-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Multiple Clicks Model for Web Search of Multi-clickable Documents
SN - 978-989-8565-59-4
AU - Laporte L.
AU - Déjean S.
AU - Mothe J.
PY - 2013
SP - 298
EP - 303
DO - 10.5220/0004553902980303