Recommender Systems: A Multi-Disciplinary Approach
暫譯: 推薦系統:多學科方法

Roy, Monideepa, Kar, Pushpendu, Datta, Sujoy

  • 出版商: CRC
  • 出版日期: 2023-06-19
  • 售價: $5,230
  • 貴賓價: 9.5$4,969
  • 語言: 英文
  • 頁數: 260
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032333219
  • ISBN-13: 9781032333212
  • 相關分類: 推薦系統
  • 海外代購書籍(需單獨結帳)

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商品描述

Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains different types of pertinent algorithms with their comparative analysis and their role for different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of machine learning and artificial networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data.

Features of this book:

  • Identifies and describes recommender systems for practical uses
  • Describes how to design, train, and evaluate a recommendation algorithm
  • Explains migration from a recommendation model to a live system with users
  • Describes utilization of the data collected from a recommender system to understand the user preferences
  • Addresses the security aspects and ways to deal with possible attacks to build a robust system

This book is aimed at researchers and graduate students in computer science, electronics and communication engineering, mathematical science, and data science.

商品描述(中文翻譯)

《推薦系統:多學科方法》提出了一種多學科的方法來開發推薦系統。它解釋了不同類型的相關算法,並進行了比較分析,說明它們在不同應用中的角色。本書闡述了推薦系統背後的大數據、市場營銷的好處、如何建立良好的決策支持系統、機器學習和人工神經網絡的角色,以及兩個案例研究中的統計模型。它展示了如何設計抗攻擊和以信任為中心的推薦系統,以應對處理敏感數據的應用。

本書的特點:
- 確定並描述推薦系統的實際應用
- 描述如何設計、訓練和評估推薦算法
- 解釋如何將推薦模型遷移到具有用戶的實時系統
- 描述如何利用從推薦系統收集的數據來理解用戶偏好
- 關注安全方面及應對可能攻擊的方法,以建立穩健的系統

本書旨在為計算機科學、電子與通信工程、數學科學和數據科學的研究人員和研究生提供參考。

作者簡介

Dr. Monideepa Roy did her bachelors and masters in mathematics from IIT Kharagpur and her PhD in CSE from Jadavpur University. For the last 11 years, she is working as an associate professor at KIIT Deemed University, Bhubaneswar. Her areas of interest include remote healthcare, mobile computing, cognitive WSNs, remote sensing, recommender systems, sparse approximations, and artificial neural networks. At present she has seven research scholars working with her in these areas and two more have successfully defended their theses under her guidance. She has several publications in reputed conferences and journals. She has been the organizing chair of the first two editions of the International Conference on Computational Intelligence and Networks CINE 2015 and 2016 and ICMC 2019, and she has organised several workshops and seminars. She also has several book chapter publications in various reputed publication houses as well as an edited book under Taylor and Francis. She has also been an invited speaker for several workshops and conferences in machine learning and recommendation systems. She is also a reviewer for several international journals and conferences.

Dr. Pushpendu Kar is an assistant professor in the School of Computer Science at the University of Nottingham Ningbo China (China campus of the University of Nottingham UK). Before this, he was a research fellow in the Department of ICT and Natural Sciences at Norwegian University of Science and Technology (NTNU), Norway; the Department of Electrical & Computer Engineering at National University of Singapore (NUS); and the Energy Research Institute at Nanyang Technological University (NTU), Singapore. He has a PhD, masters of engineering, and bachelor of technology in computer science and engineering. He also completed Sun Certified Java Programmer (SCJP) 5.0; one professional course on hardware and networking; two professional courses on JAVA-J2EE; Finishing School Program from National Institute of Technology Durgapur, India; and UGC sponsored refreshers course from Jadavpur University, India. Dr. Kar went for a research visit to Inria, Paris, France. Dr. Kar was awarded the prestigious Erasmus Mundus Postdoctoral Fellowship of European Commission, ERCIM Alain Bensoussan Fellowship of European Union, and SERB OPD Fellowship of Department of Science and Technology, Government of India. He received the 2020 IEEE Systems Journal (2020 I.F.: 4.463) Best Paper Award. This is one of the seven papers out of 793 papers (top 1%) that have received the award. Dr. Kar is an IEEE senior member. He received four research grants, three of them as Principal Investigator and one as Co-Principal Investigator for conducting research-based projects. He also received several travel grants to attend conferences and doctoral colloquiums. Dr. Kar has more than 11 years of teaching and research experience, including in a couple of highly reputed organizations around the world. He worked as a software professional in IBM for one and a half years. Dr. Kar is the author of more than 40 scholarly research papers, which have been published in reputed journals including ACM TAAS, IEEE TNSM, IEEE Systems Journal, IEEE Sensors Journal, Journal of Building and Environment; at conferences including ICC, TENCON, IECON; and in IT magazines. He is also an inventor of four patents. He has participated in the program committee of several conferences, worked as a team member to organize short-term courses, and delivered a few keynote speeches and invited talks. He is a regular reviewer of IEEE, Elsevier, Wiley, and Springer journals and conferences. He has a research interest in wireless sensor networks, Internet of Things, content-centric networking, big data, and blockchain.

Sujoy Datta has done his MTech from IIT Kharagpur. For the last 11 years, he has worked as an assistant professor in the School of Computer Engineering, KIIT Deemed University. His areas of research include wireless networks, computer security, elliptic curve cryptography and neural networks, remote healthcare, and recommender systems. He has several publications in various conferences and journals. He has co-organised several workshops and international conferences as well as several workshops and seminars. He also has several upcoming book chapter publications as well as an edited book by Taylor and Francis.

作者簡介(中文翻譯)

莫尼迪帕·羅伊博士在印度理工學院卡哈拉古爾校區獲得數學學士和碩士學位,並在賈達夫普爾大學獲得計算機科學與工程博士學位。過去11年來,她在布巴內斯瓦爾的KIIT法定大學擔任副教授。她的研究興趣包括遠程醫療、移動計算、認知無線傳感網絡、遙感、推薦系統、稀疏近似和人工神經網絡。目前,她有七名研究學者在這些領域與她合作,另外兩名在她的指導下成功完成論文答辯。她在多個知名會議和期刊上發表了多篇論文。她曾擔任國際計算智能與網絡會議(CINE 2015和2016)及ICMC 2019的組織主席,並組織了多個工作坊和研討會。她還在多家知名出版機構發表了多篇書章,並在泰勒與法蘭西斯出版了一本編輯書。她也曾受邀在多個機器學習和推薦系統的工作坊和會議上演講。她還是多個國際期刊和會議的審稿人。

普什彭杜·卡爾博士是中國寧波諾丁漢大學計算機科學學院的助理教授(英國諾丁漢大學的中國校區)。在此之前,他曾在挪威科技大學(NTNU)的ICT與自然科學系、國立新加坡大學(NUS)的電氣與計算機工程系,以及南洋理工大學(NTU)能源研究所擔任研究員。他擁有計算機科學與工程的博士學位、工程碩士學位和技術學士學位。他還完成了Sun Certified Java Programmer (SCJP) 5.0認證;一門有關硬體和網路的專業課程;兩門有關JAVA-J2EE的專業課程;印度杜爾卡普國立技術學院的結業學校計劃;以及印度賈達夫普爾大學的UGC贊助進修課程。卡爾博士曾前往法國巴黎的Inria進行研究訪問。他獲得了歐洲委員會的Erasmus Mundus博士後獎學金、歐盟的ERCIM Alain Bensoussan獎學金,以及印度政府科學與技術部的SERB OPD獎學金。他獲得了2020年IEEE系統期刊(2020 I.F.: 4.463)最佳論文獎。這是793篇論文中獲獎的七篇之一(前1%)。卡爾博士是IEEE的高級會員。他獲得了四項研究資助,其中三項擔任首席研究員,一項擔任共同首席研究員,進行基於研究的項目。他還獲得了多項旅行資助,以參加會議和博士研討會。卡爾博士擁有超過11年的教學和研究經驗,包括在全球幾個知名機構的經歷。他曾在IBM擔任軟體專業人員一年半。卡爾博士是40多篇學術研究論文的作者,這些論文發表在包括ACM TAAS、IEEE TNSM、IEEE Systems Journal、IEEE Sensors Journal、建築與環境期刊等知名期刊上;在ICC、TENCON、IECON等會議上;以及在IT雜誌上。他還擁有四項專利。他參與了多個會議的程序委員會,作為團隊成員組織短期課程,並發表了一些主題演講和受邀演講。他是IEEE、Elsevier、Wiley和Springer期刊及會議的定期審稿人。他的研究興趣包括無線傳感網絡、物聯網、內容中心網絡、大數據和區塊鏈。

Sujoy Datta在印度理工學院卡哈拉古爾校區獲得碩士學位。過去11年來,他在KIIT法定大學的計算機工程學院擔任助理教授。他的研究領域包括無線網絡、計算機安全、橢圓曲線密碼學和神經網絡、遠程醫療和推薦系統。他在多個會議和期刊上發表了多篇論文。他共同組織了多個工作坊和國際會議,以及多個工作坊和研討會。他還有多篇即將出版的書章,以及一本由泰勒與法蘭西斯出版的編輯書。

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