Computational Trust Models and Machine Learning
暫譯: 計算信任模型與機器學習

Liu, Xin, Datta, Anwitaman, Lim, Ee-Peng

Computational Trust Models and Machine Learning
  • 出版商: CRC
  • 出版日期: 2020-12-18
  • 售價: $2,360
  • 貴賓價: 9.5 折 $2,242
  • 語言: 英文
  • 頁數: 232
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 036773933X
  • ISBN-13: 9780367739331
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book:

 

 




     
  • Explains how reputation-based systems are used to determine trust in diverse online communities



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  • Describes how machine learning techniques are employed to build robust reputation systems



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  • Explores two distinctive approaches to determining credibility of resources--one where the human role is implicit, and one that leverages human input explicitly



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  • Shows how decision support can be facilitated by computational trust models



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  • Discusses collaborative filtering-based trust aware recommendation systems



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  • Defines a framework for translating a trust modeling problem into a learning problem



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  • Investigates the objectivity of human feedback, emphasizing the need to filter out outlying opinions

 

 

 

 

Computational Trust Models and Machine Learning effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment.

 

 

商品描述(中文翻譯)

《計算信任模型與機器學習》詳細介紹了信任的概念及其在多代理系統、在線社交網絡和通信系統等各個計算機科學領域的應用。該書識別了傳統方法無法解決的信任建模挑戰，內容包括：

- 解釋如何在多樣的在線社區中使用基於聲譽的系統來確定信任
- 描述如何運用機器學習技術來構建穩健的聲譽系統
- 探討兩種不同的方法來確定資源的可信度——一種是人類角色隱含的，另一種是明確利用人類輸入的
- 展示如何通過計算信任模型來促進決策支持
- 討論基於協同過濾的信任感知推薦系統
- 定義將信任建模問題轉化為學習問題的框架
- 研究人類反饋的客觀性，強調需要過濾掉異常意見

《計算信任模型與機器學習》有效展示了新穎的機器學習技術如何提高信任評估的準確性。

作者簡介

Xin Liu is currently a postdoctoral researcher in the Laboratoire de Systèmes d'Informations Répartis, led by Professor Karl Aberer, at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Before joining EPFL, Xin received his Ph.D in computer science from Nanyang Technological University in Singapore, supervised by Associate Professor Anwitaman Datta. His current research interests include recommender systems, trust and reputation systems, social computing, and distributed computing. His papers have been accepted at several prestigious academic events, and he has been a program committee member and reviewer for numerous international conferences and journals.

 

 

 

 

 

 

 

Anwitaman Datta is an associate professor at Nanyang Technological University, Singapore, where he leads the Self-* Aspects of Networked and Distributed Systems Research Group and teaches courses on security management and cryptography and network security. Well published, he has focused his research on P2P storage, decentralized online social networks, structured overlays, and computational trust. His current research interests include the design of resilient large-scale distributed systems, coding for storage, security and privacy, and social media analysis. His projects have been funded by the Singapore Ministry of Education, HP Labs Innovation Research Award, and more.

 

 

 

 

 

 

 

 

 

Ee-Peng Lim is a professor at Singapore Management University (SMU), co-director of the SMU/Carnegie Mellon University Living Analytics Research Center, and associate editor of numerous journals and publications. He holds a Ph.D from the University of Minnesota, Minneapolis, USA and a B.Sc from the National University of Singapore. His current research interests include social network and web mining, information integration, and digital libraries. A former ACM Publications Board member, he currently serves on the steering committees of the International Conference on Asian Digital Libraries, Pacific Asia Conference on Knowledge Discovery and Data Mining, and International Conference on Social Informatics.

 

 

作者簡介(中文翻譯)

劉欣目前是瑞士洛桑聯邦理工學院（École Polytechnique Fédérale de Lausanne, EPFL）資訊系統實驗室的博士後研究員，該實驗室由卡爾·阿貝爾教授（Professor Karl Aberer）領導。在加入EPFL之前，劉欣在新加坡南洋理工大學獲得計算機科學博士學位，指導教授為安維塔曼·達塔副教授（Associate Professor Anwitaman Datta）。他目前的研究興趣包括推薦系統、信任與聲譽系統、社會計算和分散式計算。他的論文已被多個著名學術活動接受，並且他曾擔任多個國際會議和期刊的程序委員會成員及審稿人。

安維塔曼·達塔是新加坡南洋理工大學的副教授，領導自我*網絡與分散式系統研究小組，並教授安全管理、密碼學和網絡安全等課程。他的研究成果豐碩，專注於P2P存儲、去中心化的在線社交網絡、結構化覆蓋和計算信任。他目前的研究興趣包括設計韌性的超大規模分散式系統、存儲編碼、安全與隱私以及社交媒體分析。他的項目獲得了新加坡教育部、HP實驗室創新研究獎等多項資助。

林怡鵬是新加坡管理大學（Singapore Management University, SMU）的教授，SMU/卡內基梅隆大學生活分析研究中心的共同主任，以及多本期刊和出版物的副編輯。他擁有美國明尼蘇達大學的博士學位和新加坡國立大學的學士學位。他目前的研究興趣包括社交網絡和網頁挖掘、資訊整合和數位圖書館。作為前ACM出版委員會成員，他目前擔任亞洲數位圖書館國際會議、太平洋亞洲知識發現與數據挖掘會議以及社會資訊國際會議的指導委員會成員。

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