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User Search Intention in Interactive Data Exploration: A Brief Review

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Advances in Computing and Data Sciences (ICACDS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 721))

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Abstract

Data exploration finds relevant data efficiently even if a user doesn’t know exactly what he/she is aiming for. These exploratory search paradigms are not well-supported in traditional database systems, thus interactive data exploratory (IDE) system evolved. A naïve data user exhibits various kinds of search behavior while formulating exploratory queries. In IDE system, each user interaction leads to more relevant results, due to its highly interactive and user-centric approach. To understand why and what user is searching for, more efficient data exploration systems need to be designed. This paper aims to discuss various factors affecting the user search behavior, how an IDE system support user. Various practices for measuring system support’s effectiveness are also highlighted. Finally, proposed a strategy for modeling the user search intentions for exploratory queries in IDE systems.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, National Institute of Technology, Kurukshetra, Kurukshetra, 136119, Haryana, India

    Archana Dhankar & Vikram Singh

Authors
  1. Archana Dhankar
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  2. Vikram Singh
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Corresponding author

Correspondence to Archana Dhankar .

Editor information

Editors and Affiliations

  1. Krishna Engineering College, Ghaziabad, Uttar Pradesh, India

    Mayank Singh

  2. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Raghogarh, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Indira Gandhi Delhi Technical University, New Delhi, India

    Arun Sharma

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada

    Tuncer Ören

  6. Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, Michigan, USA

    William Grosky

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Dhankar, A., Singh, V. (2017). User Search Intention in Interactive Data Exploration: A Brief Review. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_44

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  • DOI: https://doi.org/10.1007/978-981-10-5427-3_44

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  • Print ISBN: 978-981-10-5426-6

  • Online ISBN: 978-981-10-5427-3

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