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Web Search Personalization Using Semantic Similarity Measure

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Proceedings of ICRIC 2019

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 597))

Abstract

Web search personalization is the process of providing personalized results to the user for his query. In this paper, we present a relevance model to personalize search results which is based on query personalization. The user query is directly matched to the keywords of the user profile, and the original query is altered according to the keywords which is more likely similar or related according to the similarity measure. By finding the similarity between the user original query and user profile, a linear combination of preference space is generated at run-time to determine more accurately which pages are truly the most important with respect to the modified query. A heuristic algorithm is used to maintain the user profile based on the ongoing behavior. Our experiments prove that retrieving the search results based on query modification is effective in providing the personalized results to the user.

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Author information

Authors and Affiliations

  1. Department of Computer Applications, Chandigarh University, Mohali, Punjab, India

    Sunny Sharma

  2. Department of Computer Applications, SBBS University, Khiala, Punjab, India

    Vijay Rana

Authors
  1. Sunny Sharma
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  2. Vijay Rana
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Corresponding author

Correspondence to Sunny Sharma .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Pradeep Kumar Singh

  2. Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  3. Central University of Jammu, Jammu, Jammu and Kashmir, India

    Yashwant Singh

  4. Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  5. Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

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Sharma, S., Rana, V. (2020). Web Search Personalization Using Semantic Similarity Measure. In: Singh, P., Kar, A., Singh, Y., Kolekar, M., Tanwar, S. (eds) Proceedings of ICRIC 2019 . Lecture Notes in Electrical Engineering, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-29407-6_21

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  • DOI: https://doi.org/10.1007/978-3-030-29407-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29406-9

  • Online ISBN: 978-3-030-29407-6

  • eBook Packages: EngineeringEngineering (R0)

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