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IEESWPR: An Integrative Entity Enrichment Scheme for Socially Aware Web Page Recommendation

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Data Science and Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 462))

Abstract

The World Wide Web is the most extensive knowledge repository and the vastest record structure that has ever existed in human history. A socially aware and semantically driven web page recommendation algorithm is therefore a compelling necessity. In this paper, an entity enrichment mechanism for recommendation of web pages has been proposed. The approach incorporates semantic frame matching and entities enriched by generation of Resource Description Framework along with the incorporation of background knowledge from the Linked Open Data cloud, social awareness is incorporated by including entities from the Twitter API. The dataset is classified using the XGBoosting algorithm, and the SemantoSim measure has been chosen to compute the semantic similarity under LION optimization algorithm which serves as the metaheuristics. The approach considers the user query, the current user clicks as well as web usage data of the user. The proposed methodology yields an accuracy of 95.42% which surpasses the existing techniques.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, University Institute of Engineering and Technology, Panjab University, Chandigarh, India

    Gurunameh Singh Chhatwal

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

    Gerard Deepak

Authors
  1. Gurunameh Singh Chhatwal
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  2. Gerard Deepak
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Corresponding author

Correspondence to Gerard Deepak .

Editor information

Editors and Affiliations

  1. Christ University, Bengaluru, Karnataka, India

    Samiksha Shukla

  2. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  3. Christ University, Bengaluru, Karnataka, India

    Joseph Varghese Kureethara

  4. Department of Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Mishra

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chhatwal, G.S., Deepak, G. (2022). IEESWPR: An Integrative Entity Enrichment Scheme for Socially Aware Web Page Recommendation. In: Shukla, S., Gao, XZ., Kureethara, J.V., Mishra, D. (eds) Data Science and Security. Lecture Notes in Networks and Systems, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-19-2211-4_21

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