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STRESS: A Social Trust-Aware System for Recommending Web Services

Author

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  • Naziha Abderrahim

    (EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria)

  • Sidi Mohamed Benslimane

    (EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria)

Abstract

Recommender systems help users find relevant Web service based on peers' previous experiences dealing with Web services (WSs). However, with the proliferation of WSs, recommendation has become “questionable”. Social computing seems offering innovative solutions to improve the quality of recommendations. Social computing is at the crossroad of computer sciences and social sciences disciplines by looking into ways of improving application design and development using elements that people encounter daily such as collegiality, friendship and trust. In this paper, the authors propose a social trust-aware system for recommending WS based on social qualities of WSs that they exhibit towards peers at run-time, and trustworthiness of the users who provide feedback on their overall experience using WSs. A set of experiments to assess the fairness and accuracy of the proposed system are reported in the paper, showing promising results.

Suggested Citation

  • Naziha Abderrahim & Sidi Mohamed Benslimane, 2015. "STRESS: A Social Trust-Aware System for Recommending Web Services," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 7(3), pages 40-58, July.
    • Handle: RePEc:igg:jisss0:v:7:y:2015:i:3:p:40-58
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