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Explanation-Based Serendipitous Recommender System (EBSRS)

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1394))

Abstract

Recommender systems (RSs) have gained immense popularity and achieved great success as intelligent information system that helps to deal with information overload problem. Recommender systems (RSs) have been very long evaluated for accuracy. Nowadays, along with the accuracy of the presented recommendation, other factors like novelty, diversity and serendipity have become an important aspect of recommendation systems. In this paper, we propose Explanation-based Serendipitous Recommender System (EBSRS) to generate explanation for the serendipitous recommendations presented to the user. Hereby, the approach integrates the concept of serendipity in recommendations, ensuring the relevance of recommendations while generating serendipitous recommendation. The approach generates the explanation for the serendipitous recommendations to provide a justification for the recommended list. The proposed approach is evaluated using accuracy and relevancy measures. Precision, recall and f-measure are used as the accuracy measure, whereas explanation coverage and unexpectedness is used to get the relevancy measure.

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Author information

Authors and Affiliations

  1. School of Computer Science & Engineering, Vellore Institute of Technology, Chennai, India

    Richa

  2. University of Delhi, New Delhi, India

    Chhavi Sharma

  3. Department of Computer Science, University of Delhi, New Delhi, India

    Punam Bedi

Authors
  1. Richa
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  2. Chhavi Sharma
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  3. Punam Bedi
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Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Delhi, India

    Ashish Khanna

  2. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  3. Rajnagar Mahavidyalaya, Birbhum, India

    Siddhartha Bhattacharyya

  4. Computer and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  5. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Sameer Anand

  6. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Ajay Jaiswal

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Richa, Sharma, C., Bedi, P. (2022). Explanation-Based Serendipitous Recommender System (EBSRS). In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1394. Springer, Singapore. https://doi.org/10.1007/978-981-16-3071-2_1

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