Recommender Systems: A Multi-Disciplinary Approach

《推薦系統：一種多學科方法》介紹了一種多學科方法來開發推薦系統。它解釋了不同類型的相關算法及其比較分析，以及它們在不同應用中的作用。本書解釋了推薦系統背後的大數據、市場營銷效益、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作用，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，應用於處理敏感數據的應用。

本書的特點包括：
- 確定並描述了實際應用的推薦系統
- 描述了如何設計、訓練和評估推薦算法
- 解釋了從推薦模型到實際使用者系統的遷移
- 描述了利用從推薦系統收集的數據來了解使用者偏好
- 處理安全方面的問題，並提供建立強大系統的方法

本書針對計算機科學、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。

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.

Dr. Monideepa Roy在印度理工學院卡拉格普爾分校取得數學學士和碩士學位，並在賈達夫普爾大學取得計算機科學與工程博士學位。她在Bhubaneswar的KIIT Deemed University擔任副教授已有11年之久。她的研究興趣包括遠程醫療、移動計算、認知無線感測網絡、遙感、推薦系統、稀疏逼近和人工神經網絡。目前，她有七名研究學者在這些領域與她合作，另外還有兩名學者在她的指導下成功完成了他們的論文。她在知名會議和期刊上發表了多篇論文。她曾擔任第一屆和第二屆國際計算智能和網絡會議（CINE 2015和2016）以及ICMC 2019的組織主席，並組織了多個研討會和研討會。她還在多個知名出版社發表了幾篇專書章節，並編輯了一本由Taylor and Francis出版的專書。她還應邀參加了多個機器學習和推薦系統的研討會和會議。她還是多個國際期刊和會議的審稿人。

Dr. Pushpendu Kar是英國諾丁漢大學寧波中國校區計算機科學學院的助理教授。在此之前，他曾在挪威科技大學（NTNU）的ICT和自然科學系、新加坡國立大學（NUS）的電機與計算機工程系以及新加坡南洋理工大學（NTU）的能源研究所擔任研究員。他擁有計算機科學和工程的博士、工程碩士和技術學士學位。他還完成了Sun認證的Java程序員（SCJP）5.0課程，一門硬件和網絡課程，兩門Java-J2EE專業課程，來自印度國家技術研究所杜爾加布爾分校的Finishing School計劃，以及來自賈達夫普爾大學的UGC贊助的進修課程。Kar博士曾前往法國巴黎的Inria進行研究訪問。他曾獲得歐洲委員會的Erasmus Mundus博士後獎學金、歐洲聯盟的ERCIM Alain Bensoussan獎學金和印度科學與技術部的SERB OPD獎學金。他獲得了2020年IEEE Systems Journal（2020 I.F.：4.463）最佳論文獎。這是793篇論文中僅有的七篇（佔1%）獲得該獎項。Kar博士是IEEE的高級會員。他獲得了四項研究資助，其中三項是作為首席研究員，一項是作為共同首席研究員進行研究項目。他還獲得了多項旅行資助，以參加會議和博士生研討會。Kar博士擁有超過11年的教學和研究經驗，包括在世界上幾個高度聲譽的組織中工作。他曾在IBM擔任軟件專業人員一年半。Kar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和Journal of Building and Environment在內的知名期刊上，以及ICC、TENCON、IECON等會議和IT雜誌上。他還是四項專利的發明人。他曾參與多個會議的節目委員會，擔任組織短期課程的團隊成員，並發表過幾次主題演講和邀請演講。他是IEEE、Elsevier、Wiley和Springer期刊和會議的定期審稿人。他的研究興趣包括無線感測網絡、物聯網、內容為中心的網絡、大數據和區塊鏈。

Sujoy Datta在印度理工學院卡拉格普爾分校獲得了碩士學位。在過去的11年中，他一直在KIIT Deemed University的計算機工程學院擔任助理教授。