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KCEPS: Knowledge Centric Entity Population Scheme for Research Document Recommendation

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Soft Computing and its Engineering Applications (icSoftComp 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1572))

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Abstract

The data in the Web has increased exponentially, and retrieval from the Web is quite demanding and challenging. There is always a need to improve results in yielding and recommending scholarly articles. An enhanced recommendation system to recommend scholarly articles is best suited to ease the work of a researcher. It is also used to display relevant articles with respect to the user queries. There is a huge probability that the research article recommended might be of no use to the user if the recommendation algorithm does not perform well. This paper proposes a knowledge centric approach for research paper recommendation using semantic similarity and Gated Recurrent Unit along with Cuttlefish optimization algorithm. The Related-Article Recommendation Dataset is used for experimentation. The recommendation is based on the user query and user clicks. The performance is evaluated and compared with the baseline approaches and it is clearly observed that the proposed Knowledge centric recommendation system is superior in terms of performance and attained an average Accuracy, and F-measure of 96.63%, and 96.69% respectively.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India

    N. Krishnan

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

    Gerard Deepak

Authors
  1. N. Krishnan
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  2. Gerard Deepak
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Corresponding author

Correspondence to Gerard Deepak .

Editor information

Editors and Affiliations

  1. Charotar University of Science and Technology, Changa, Anand, India

    Kanubhai K. Patel

  2. CEPT University, Ahmedabad, India

    Gayatri Doctor

  3. Charotar University of Science and Technology, Changa, Anand, India

    Atul Patel

  4. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

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Krishnan, N., Deepak, G. (2022). KCEPS: Knowledge Centric Entity Population Scheme for Research Document Recommendation. In: Patel, K.K., Doctor, G., Patel, A., Lingras, P. (eds) Soft Computing and its Engineering Applications. icSoftComp 2021. Communications in Computer and Information Science, vol 1572. Springer, Cham. https://doi.org/10.1007/978-3-031-05767-0_28

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  • DOI: https://doi.org/10.1007/978-3-031-05767-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05766-3

  • Online ISBN: 978-3-031-05767-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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