Identifying Common User Behaviour in Multilingual Search Logs
Item Type:Working Paper
Citation:M. Rami Ghorab, Johannes Leveling, Dong Zhou, Gareth J. F. Jones, Vincent Wade, Identifying Common User Behaviour in Multilingual Search Logs, 2010
ghorab2009_lncs.pdf (Accepted for publication (author's copy) - Peer Reviewed) 199.9Kb
The LADS (Log Analysis for Digital Societies) task at CLEF aims at investigating user actions in a multilingual setting. We carried out an analysis of search logs with the objectives of investigating how users from different linguistic or cultural backgrounds behave in search, and how the discovery of patterns in user actions could be used for community identification. The findings confirm that users from a different background behave differently, and that there are identifiable patterns in the user actions. The findings suggest that there is scope for further investigation of how search logs can be exploited to personalise and improve cross-language search as well as improve the TEL search system.
Science Foundation Ireland
This is a publication in Lecture Notes for Computer Science: Multilingual Information Access Evaluation Vol. I Text Retrieval Experiments (Carol Peters, Giorgio Di Nunzio, Mikko Kurimo, Thomas Mandl, Djamel Mostefa, Anselmo Pe?as, Giovanna Roda). The exact LNCS volume number has not been assigned yet.
Type of material:Working Paper
Availability:Full text available