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Theory-based user modeling for personalized interactive information retrieval

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

Abstract

In an effort to improve users’ search experiences during their information seeking process, providing a personalized information retrieval system is proposed to be one of the effective approaches. To personalize the search systems requires a good understanding of the users. User modeling has been approved to be a good method for learning and representing users. Therefore many user modeling studies have been carried out and some user models have been developed. The majority of the user modeling studies applies inductive approach, and only small number of studies employs deductive approach. In this paper, an EISE (Extended Information goal, Search strategy and Evaluation threshold) user model is proposed, which uses the deductive approach based on psychology theories and an existing user model. Ten users’ interactive search log obtained from the real search engine is applied to validate the proposed user model. The preliminary validation results show that the EISE model can be applied to identify different types of users. The search preferences of the different user types can be applied to inform interactive search system design and development.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 17/07/2016

Publication status

Published - 17/07/2016

Publisher

Association for Computing Machinery, United States

External Publication IDs

  • handle.net: 10547/622040
  • Scopus: 84984622192

Host publication title

CEUR Workshop Proceedings 2016

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