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Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust
المؤلفون المشاركون
Wang, Xin
Wang, Ying
Sun, Hongbin
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-01-28
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
In social media, trust and distrust among users are important factors in helping users make decisions, dissect information, and receive recommendations.
However, the sparsity and imbalance of social relations bring great difficulties and challenges in predicting trust and distrust.
Meanwhile, there are numerous inducing factors to determine trust and distrust relations.
The relationship among inducing factors may be dependency, independence, and conflicting.
Dempster-Shafer theory and neural network are effective and efficient strategies to deal with these difficulties and challenges.
In this paper, we study trust and distrust prediction based on the combination of Dempster-Shafer theory and neural network.
We firstly analyze the inducing factors about trust and distrust, namely, homophily, status theory, and emotion tendency.
Then, we quantify inducing factors of trust and distrust, take these features as evidences, and construct evidence prototype as input nodes of multilayer neural network.
Finally, we propose a framework of predicting trust and distrust which uses multilayer neural network to model the implementing process of Dempster-Shafer theory in different hidden layers, aiming to overcome the disadvantage of Dempster-Shafer theory without optimization method.
Experimental results on a real-world dataset demonstrate the effectiveness of the proposed framework.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Xin& Wang, Ying& Sun, Hongbin. 2016. Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099701
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Xin…[et al.]. Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1099701
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Xin& Wang, Ying& Sun, Hongbin. Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099701
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099701
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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