商品描述
This book dives into the inner workings of recommender systems, those ubiquitous technologies that shape our online experiences. From Netflix show suggestions to personalized product recommendations on Amazon or the endless stream of curated YouTube videos, these systems power the choices we see every day.
商品描述(中文翻譯)
這本書深入探討推薦系統的內部運作，這些無處不在的技術塑造了我們的線上體驗。從 Netflix 的節目建議到 Amazon 的個性化產品推薦，或是無盡的精選 YouTube 影片流，這些系統驅動著我們每天所見的選擇。
作者簡介
Angshul Majumdar is currently a professor at TCG CREST, Kolkata. Prior to that he was a professor at Indraprastha Institute of Information Technology, Delhi, India. He has been associated with the institute since 2012. Angshul did his Master's (2009) and PhD (2012) in electrical and computer engineering from the University of British Columbia, Vancouver, Canada.
Angshul's research interests lie in signal processing and machine learning with applications in smart grids and bioinformatics. Angshul has co-authored over 200 articles in journals and top tier conferences. He has written two books and co-edited two more and holds 7 US patents. He is an associate editor for IEEE Open Journal for Signal Processing and Elsevier Neurocomputing. In the past, he has been an associate editor for IEEE Transactions on Circuits and Systems for Video Technology.
Angshul is currently the director of student services at IEEE Signal Processing Society. Prior to that he was the chair for the education committee in the IEEE SPS membership board (2019). Angshul has also served as the chair for the chapter's committee in the IEEE SPS membership board (2016-18). He had been the founding chair of IEEE SPS Delhi Chapter (2015-18). Angshul has been the organizing chair of two IEEE SPS Winter Schools in 2014 and 2017. He has served as the finance chair of IEEE ISBA 2017, the flagship conference of IEEE Biometrics Council.
作者簡介(中文翻譯)
Angshul Majumdar 目前是位於印度加爾各答的 TCG CREST 大學教授。在此之前，他曾擔任印度德里 Indraprastha 信息技術學院的教授，自 2012 年以來一直與該學院有關聯。Angshul 在加拿大不列顛哥倫比亞大學（University of British Columbia, Vancouver）獲得了電氣與計算機工程的碩士學位（2009）和博士學位（2012）。
Angshul 的研究興趣集中在信號處理和機器學習，應用於智能電網和生物信息學。Angshul 共同撰寫了超過 200 篇期刊文章和頂級會議論文。他撰寫了兩本書並共同編輯了另外兩本，並擁有 7 項美國專利。他是 IEEE Open Journal for Signal Processing 和 Elsevier Neurocomputing 的副編輯。在過去，他曾擔任 IEEE Transactions on Circuits and Systems for Video Technology 的副編輯。
目前，Angshul 是 IEEE 信號處理學會學生服務部的主任。在此之前，他曾擔任 IEEE SPS 會員委員會的教育委員會主席（2019）。Angshul 也曾擔任 IEEE SPS 會員委員會的章節委員會主席（2016-18）。他是 IEEE SPS 德里章的創始主席（2015-18）。Angshul 曾擔任 2014 年和 2017 年兩屆 IEEE SPS 冬季學校的組織主席。他還擔任了 IEEE ISBA 2017 的財務主席，該會議是 IEEE 生物識別委員會的旗艦會議。
