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A user-centric semantic-based algorithm for ranking services: design and analysis

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Service Oriented Computing and Applications Aims and scope Submit manuscript

Abstract

The number of online service providers and services hosted by them is rapidly increasing. Since services hosted by different service providers may have the same functionality, it is extremely hard for a user to determine those services that best match their requirements. To ease this difficulty, it is necessary that the service providing system rank those services based on users preferences, so that users receive only those services that suit them best. In this paper, a novel vector-based algorithm, which is multi-featured, semantic-based, and user-centric, is proposed for this service ranking problem. This algorithm overcomes all restrictions and limitations that exist in previously known vector-based ranking algorithms. The algorithm has been analyzed thoroughly with respect to performance, accuracy, and algorithmic complexity.

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Notes

  1. This extraction is for scientific reasons only. We do not perform, by any means, republishing (Web Scraping) or reusing Google’s data publicly.

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Acknowledgments

The second author is being supported by a grant from Discovery Grants Program, Natural Sciences and Engineering Research Council of Canada (NSERC). The authors thank the reviewers for their insightful comments and suggestions at different stages of revision and evolution of this paper to its final form.

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Authors and Affiliations

  1. Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada

    Ammar Alsaig, Vangalur Alagar & Mubarak Mohammad

  2. Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia

    Wadee Alhalabi

Authors
  1. Ammar Alsaig
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  2. Vangalur Alagar
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  3. Mubarak Mohammad
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  4. Wadee Alhalabi
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Correspondence to Ammar Alsaig.

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Alsaig, A., Alagar, V., Mohammad, M. et al. A user-centric semantic-based algorithm for ranking services: design and analysis. SOCA 11, 101–120 (2017). https://doi.org/10.1007/s11761-016-0200-y

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  • DOI: https://doi.org/10.1007/s11761-016-0200-y

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