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Identifying common user behaviour in multilingual search logs

Ghorab, M. Rami and Leveling, Johannes and Zhou, Dong and Jones, Gareth J.F. and Wade, Vincent (2010) Identifying common user behaviour in multilingual search logs. In: Multilingual Information Access Evaluation I. Text Retrieval Experiments,10th Workshop of the Cross-Language Evaluation Forum . CLEF 2009, Corfu, Greece.

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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:Searching; Log analysis
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Multilingual Information Access Evaluation I. Text Retrieval Experiments. Lecture Notes in Computer Science 6241. Springer-Verlag.
Official URL:
Copyright Information:© Springer-Verlag 2010. The original publication is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16037
Deposited On:03 May 2011 11:42 by Shane Harper. Last Modified 10 May 2011 11:21

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