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

机译:压力:推荐Web服务的社交信任感知系统

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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 collegial-ity, friendship and trust. Inthispaper, 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.
机译:推荐器系统可帮助用户根据同龄人处理Web服务(WS)的先前经验来找到相关的Web服务。但是,随着WS的激增,推荐已成为“有问题的”。社交计算似乎提供了创新的解决方案来提高建议的质量。通过使用人们日常遇到的诸如协作,友谊和信任之类的元素来研究改进应用程序设计和开发的方法,社会计算正处于计算机科学和社会科学学科的十字路口。在本文中,作者提出了一种基于社会信任的系统,用于根据他们在运行时对同伴展示的​​WS的社会素质以及推荐使用WS的整体体验提供反馈的用户的可信度来推荐WS。本文报道了一组评估所提出系统的公平性和准确性的实验,显示出令人鼓舞的结果。

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