Towards multilingual user models for Personalized Multilingual Information Retrieval

  • Authors:
  • M. Rami Ghorab;Dong Zhou;Ben Steichen;Vincent Wade

  • Affiliations:
  • Trinity College Dublin, Dublin, Ireland;Trinity College Dublin, Dublin, Ireland;Trinity College Dublin, Dublin, Ireland;Trinity College Dublin, Dublin, Ireland

  • Venue:
  • Proceedings of the First Workshop on Personalised Multilingual Hypertext Retrieval
  • Year:
  • 2011

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Abstract

The majority of studies in Personalized Information Retrieval (PIR) literature have focused on monolingual IR, and only relatively little work has been done conceming multilingual IR. In this paper we propose a novel method to represent user models in a multilingual fashion. We argue that such representation would be more suitable for Personalized Multilingual Information Retrieval (PMIR). Furthermore, we outline two algorithms for query adaptation based on user information from the multilingual user model.