Naziha Abderrahim

Work place: EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, 22000, Algeria



Research Interests: Computer systems and computational processes, Computer Networks, Social Information Systems, Data Structures and Algorithms


Naziha Abderrahim is a PhD student in computer science Department at the University of Sidi Bel-Abbes, Algéria. She received a M.S. degree in computer science in 2010 from the Computer Science Department of Tlemcen University. Her research interests include Web services and social networks, and recommender systems.

Author Articles
Towards Improving Recommender System: A Social Trust-Aware Approach

By Naziha Abderrahim Sidi Mohamed Benslimane

DOI:, Pub. Date: 8 Feb. 2015

Recommender systems have shown great potential to help users find interesting and relevant Web service (WS) from within large registers. However, with the proliferation of WSs, recommendation becomes a very difficult task. Social computing seems offering innovative solutions to overcome those shortcomings. 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 social networks, trust, reputation, and recommendation. In this paper, we propose a social trust-aware system for recommending Web services (WSs) 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 and demonstrating that our service recommendation method significantly outperforms conventional similarity-based and trust-based service recommendation methods.

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