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首页> 外文期刊>Informatica >A Novel Trust Inference Framework for Web-Based Scenarios Harnessed by Social Network and Web of Trust - a Heuristic Approach
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A Novel Trust Inference Framework for Web-Based Scenarios Harnessed by Social Network and Web of Trust - a Heuristic Approach

机译：基于社交网络和信任网的基于Web的方案的新型信任推理框架-启发式方法

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摘要

Šiame straipsnyje siūlome naują pasitikėjimo nustatymo karkasą internetiniams scenarijams, kuriuose numatomas pasitikėjimo tinklas ir pasitikėjimo sąryšiai įvertinami pagal pasitikėjimo rekomendaciją. Retos matricos pasitikėjimo tinkle problemai sumažinti įtraukiame vartotojų profilių ir sąryšių informaciją susijusiame socialiniame tinkle. Vartotojai yra suklasifikuojami į keturias klases pagal pasitikėjimo tinklą aptartame internetiniame scenarijuje, epinions.com šiame straipsnyje, ir socialinių sąryšių informaciją susijusiame socialiniame tinkle. Paskui įvairi informacija yra naudojama nustatyti vartotojų pasitikėjimo rekomendacijų reikšmėm remiantis klasifikacija. Modeliavimo eksperimentai rodo, kad pasiūlytas būdas gerai atitinka nustatytas pasitikėjimo reikšmes, o numatyto pasitikėjimo sąryšio tikslumo rodiklis yra aukštesnis negu tradicinio būdo.%In this paper, we propose a novel trust inference framework in the web-based scenarios which are assumed to have a Web of Trust pre-established, and take the contexts of the trust relationships into account when inferring the recommendation trust. For alleviating the problem of sparse matrix in the Web of Trust, we also incorporate the users' profile and relationship information on the associated social networks into the framework. Based on the Web of Trust established in the discussed web-based scenario (i.e. epinions.com in this paper), and the social relationship information in the associated social networks, the users are classified into four classes. Then different information is used to infer the users' recommendation trust value based on the classifications. The simulation experiments show that our approach has good coverage of inferred trust values, and the accurate rate of the predicted trust relationship is higher than the traditional PCC (Pearson Correlation Co-efficiency). According to the computation results of adjusted parameters, it can be concluded that the threshold which is used to filter the inferred trust values can be removed, i.e. all the inferred trust values should be kept.
机译：在本文中，我们为在线方案提出了一个新的信任框架，其中设想了一个信任网络，并根据信任建议评估了信任关系。为了减少在线信任中稀有矩阵的问题，我们在相关的社交网络上包括了用户个人资料和关系信息。根据讨论的在线方案中的信任网络（本文中的epinions.com）以及相关社交网络中的社交网络信息，将用户分为四类。然后使用各种信息基于分类来确定消费者信心建议的值。仿真实验表明，所提出的方法与所建立的信任值吻合良好，预测的信任关系的准确性高于传统方法。预先建立信任关系，并在推断推荐信任时考虑信任关系的上下文。为了缓解信任网络中稀疏矩阵的问题，我们还将与用户相关的社交网络上的个人资料和关系信息合并到框架中。基于在讨论的基于Web的场景中建立的Web of Trust（即本文中的epinions.com）以及相关社交网络中的社交关系信息，将用户分为四类。然后使用不同的信息基于分类来推断用户的推荐信任值。仿真实验表明，我们的方法对推断的信任值有很好的覆盖，预测的信任关系的准确率高于传统的PCC（皮尔逊相关系数）。根据调整后的参数的计算结果，可以得出结论，可以去除用于过滤推断的信任值的阈值，即所有推断出的信任值都应保留。

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  • 来源
    《Informatica》 |2016年第2期|405-432|共28页
  • 作者

    Wenjuan FAN; Jun PEI; Shuai DING; Panos M. PARDALOS; Min KONG; Shanlin YANG;

  • 作者单位

    School of Management, Hefei University of Technology, Hefei 230009, China,Center of Applied Optimization, Department of Industrial and Systems Engineering University of Florida, Florida 32611 USA,Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education, Hefei 230009, China;

    School of Management, Hefei University of Technology, Hefei 230009, China,Center of Applied Optimization, Department of Industrial and Systems Engineering University of Florida, Florida 32611 USA,Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education, Hefei 230009, China;

    School of Management, Hefei University of Technology, Hefei 230009, China,Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education, Hefei 230009, China;

    Center of Applied Optimization, Department of Industrial and Systems Engineering University of Florida, Florida 32611 USA;

    School of Management, Hefei University of Technology, Hefei 230009, China,Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education, Hefei 230009, China;

    School of Management, Hefei University of Technology, Hefei 230009, China,Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education, Hefei 230009, China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    trust relationship inference; Web of Trust; recommendation trust; social network;

    机译：信任关系推断;信任网;推荐信任;社交网络;

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