Identifying common user behaviour in multilingual search logs

  • Authors:
  • M. Rami Ghorab;Johannes Leveling;Dong Zhou;Gareth J. F. Jones;Vincent Wade

  • Affiliations:
  • Trinity College Dublin, Dublin, Ireland;School of Computing, Dublin City University, Dublin, Ireland;Trinity College Dublin, Dublin, Ireland;School of Computing, Dublin City University, Dublin, Ireland;Trinity College Dublin, Dublin, Ireland

  • Venue:
  • CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
  • Year:
  • 2009

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Abstract

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.