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Issues and Requirements for Successful Integration of Semantic Knowledge in Web Usage Mining for Effective Personalization

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Smart Trends in Information Technology and Computer Communications (SmartCom 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 628))

Abstract

Recommendation systems have been successfully used by e-commerce and other similar sites for recommendation of relevant items to the user. However majority of these systems are based on web usage mining which does not consider the semantic knowledge underlying a website in the recommendation process and based solely on usage data. Hence researchers realized the importance of semantic knowledge and began to use it as part of usage data which is primarily used by personalization systems to enhance the quality of items being recommended. However several issues emerged during the process of integration. For effective personalization these issues need to be addressed. We discuss this aspect of integration process and also suggest some of the ways to resolve these issues and also discuss few methods of representing domain knowledge under different situations.

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Authors and Affiliations

  1. Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India

    Sanjay Kumar Dwivedi & Bhupesh Rawat

Authors
  1. Sanjay Kumar Dwivedi
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  2. Bhupesh Rawat
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Corresponding author

Correspondence to Bhupesh Rawat .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Aynur Unal

  2. IT Buzz Limited, Dagenham, UK

    Malaya Nayak

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  5. Sabar Institute of Technology, Sabarkantha, India

    Amit Joshi

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© 2016 Springer Nature Singapore Pte Ltd.

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Dwivedi, S.K., Rawat, B. (2016). Issues and Requirements for Successful Integration of Semantic Knowledge in Web Usage Mining for Effective Personalization. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_12

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  • DOI: https://doi.org/10.1007/978-981-10-3433-6_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3432-9

  • Online ISBN: 978-981-10-3433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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