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International Conference on Computational Collective Intelligence

ICCCI 2014: Computational Collective Intelligence. Technologies and Applications pp 94–103Cite as

A Preferences Based Approach for Better Comprehension of User Information Needs

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8733)

Abstract

Within Mobile information retrieval research, context information provides an important basis for identifying and understanding user’s information needs. Therefore search process can take advantage of contextual information to enhance the query and adapt search results to user’s current context. However, the challenge is how to define the best contextual information to be integrated in search process. In this paper, our intention is to build a model that can identify which contextual dimensions strongly influence the outcome of the retrieval process and should therefore be in the user’s focus. In order to achieve these objectives, we create a new query language model based on user’s pereferences. We extend this model in order to define a relevance measure for each contextual dimension, which allow to automatically classify each dimension. This latter is used to compute the degree of change in result lists for the same query enhanced by different dimensions. Our experiments show that our measure can analyze the real user’s context of up to 8000 of dimensions. We also show experimentally the quality of the set of contextual dimensions proposed, and the interest of the measure to understand mobile user’s needs and to enhance his query.

Keywords

  • Mobile search
  • User’s context
  • Relevance
  • User’s Preferences

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  • DOI: 10.1007/978-3-319-11289-3_10
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Author information

Authors and Affiliations

  1. LARODEC, ISG, University of Tunis, Bardo, Tunisia

    Sondess Missaoui

  2. LARODEC, IHEC Carthage University, Carthage Presidency, Tunisia

    Rim Faiz

Authors
  1. Sondess Missaoui
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  2. Rim Faiz
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Yeungnam University, Korea

    Dosam Hwang & Jason J. Jung & 

  2. Institute of Informatics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

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Missaoui, S., Faiz, R. (2014). A Preferences Based Approach for Better Comprehension of User Information Needs. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-11289-3_10

  • Publisher Name: Springer, Cham

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