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An Estimation of User Preferences for Search Engine Results and its Usage Patterns

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Progress in Intelligent Computing Techniques: Theory, Practice, and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 719))

Abstract

The fields where an exhaustive understanding of user preferences can be applied include web page ranking, web search personalization, and search engine adaptation. The most important use of an understanding of how people use search engines and what they want from them is the immense scope it creates for system improvement. System improvement means evolving search engines to constantly exceed user expectations. Various approaches like creating user profiles, saving logs of user search patterns, evaluating users’ browsing behavior, etc., have been used to determine user preferences. This research work aims to determine different aspect of user preferences in respect of Search Engines. The authors present a method to analyze and evaluate user preferences for search engines based on an experiment, which was conducted on working professionals employed in various domains like software companies, law firms, banks, educational institutes, government, etc. The sample of the study has 120 working professionals working in different domains.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Amity School of Engineering, Amity University, Lucknow, India

    Nidhi Bajpai & Deepak Arora

Authors
  1. Nidhi Bajpai
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  2. Deepak Arora
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Corresponding author

Correspondence to Nidhi Bajpai .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Manmath Narayan Sahoo

  3. School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia

    M. Murugappan

  4. The University of Exeter, Exeter, Devon, United Kingdom

    Yulei Wu

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Banshidhar Majhi

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© 2018 Springer Nature Singapore Pte Ltd.

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Bajpai, N., Arora, D. (2018). An Estimation of User Preferences for Search Engine Results and its Usage Patterns. In: Sa, P., Sahoo, M., Murugappan, M., Wu, Y., Majhi, B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-10-3376-6_28

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  • DOI: https://doi.org/10.1007/978-981-10-3376-6_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3375-9

  • Online ISBN: 978-981-10-3376-6

  • eBook Packages: EngineeringEngineering (R0)

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