A Language Modeling Approach to Personalized Search Based on Users’ Microblog Behavior

  • Arjumand Younus
  • Colm O’Riordan
  • Gabriella Pasi
Conference paper

DOI: 10.1007/978-3-319-06028-6_83

Volume 8416 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Younus A., O’Riordan C., Pasi G. (2014) A Language Modeling Approach to Personalized Search Based on Users’ Microblog Behavior. In: de Rijke M. et al. (eds) Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham

Abstract

Personalized Web search offers a promising solution to the task of user-tailored information-seeking, and particularly in cases where the same query may represent diverse information needs. A significant component of any Web search personalization model is the means with which to model a user’s interests and preferences to build what is termed as a user profile. This work explores the use of the Twitter microblog network as a source of user profile construction for Web search personalization. We propose a statistical language modeling approach taking into account various features of a user’s Twitter network. The richness of the Web search personalization model leads to significant performance improvements in retrieval accuracy. Furthermore, the model is extended to include a similarity measure which further improves search engine performance.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Arjumand Younus
    • 1
    • 2
  • Colm O’Riordan
    • 1
  • Gabriella Pasi
    • 2
  1. 1.Computational Intelligence Research Group, Information TechnologyNational University of IrelandGalwayIreland
  2. 2.Information Retrieval Lab, Informatics, Systems and CommunicationUniversity of Milan BicoccaMilanItaly