購物比價找書網找車網
FindBook  
 有 1 項符合

Collaborative Filtering: Recommender Systems

的圖書
Collaborative Filtering: Recommender Systems Collaborative Filtering: Recommender Systems

作者:Majumdar 
出版社:CRC Press
出版日期:2024-10-03
語言:英文   規格:精裝 / 152頁 / 普通級/ 初版
圖書選購
型式價格供應商所屬目錄
 
$ 9350
博客來 博客來
測量學
圖書介紹 - 資料來源:博客來   評分:
圖書名稱:Collaborative Filtering: Recommender Systems

內容簡介

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.

Collaborative filtering reigns supreme as the dominant approach behind recommender systems. This book offers a comprehensive exploration of this topic, starting with memory-based techniques. These methods, known for their ease of understanding and implementation, provide a solid foundation for understanding collaborative filtering. As you progress, you’ll delve into latent factor models, the abstract and mathematical engines driving modern recommender systems.

The journey continues with exploring the concepts of metadata and diversity. You’ll discover how metadata, the additional information gathered by the system, can be harnessed to refine recommendations. Additionally, the book delves into techniques for promoting diversity, ensuring a well-balanced selection of recommendations. Finally, the book concludes with a discussion of cutting-edge deep learning models used in recommender systems.

This book caters to a dual audience. First, it serves as a primer for practicing IT professionals or data scientists eager to explore the realm of recommender systems. The book assumes a basic understanding of linear algebra and optimization but requires no prior knowledge of machine learning or programming. This makes it an accessible read for those seeking to enter this exciting field. Second, the book can be used as a textbook for a graduate-level course. To facilitate this, the final chapter provides instructors with a potential course plan.

Key features:

- This is the only book covering 25 years of research on this topic starting from late 90s to the current year.

- This book is accessible to anyone with a basic knowledge of linear algebra, unlike other volumes that require knowledge of advanced data analytics.

- It covers a wider range of topics than other books. Most others are research oriented and delves deep into a narrow area.

- This is the only book written to be a textbook on collaborative filtering and recommender systems.

- The book emphasizes on algorithms and not implementation. This makes it agnostic to programming languages. The reader is free to use whatever they are comfortable in, such as Python, R, Matlab, Java, etc.

 

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.

 

詳細資料

  • ISBN:9781032840826
  • 規格:精裝 / 152頁 / 普通級 / 初版
  • 出版地:美國
贊助商廣告
 
 
博客來 - 暢銷排行榜
我的孤獨旅程:馬拉松、鐵人三項探索世界
作者:陳春發
出版社:印刻
出版日期:2025-05-02
$ 284 
Taaze 讀冊生活 - 暢銷排行榜
我是胡志強,今天來報到!
作者:胡志強
出版社:遠見天下文化出版股份有限公司
出版日期:2025-05-15
$ 553 
博客來 - 暢銷排行榜
難哄影集寫真:書衣紀念版(扉頁附印刷簽名)
出版日期:2025-06-02
$ 458 
博客來 - 暢銷排行榜
ONE-PUNCH MAN 一拳超人 32
出版日期:2025-04-30
$ 105 
 
Taaze 讀冊生活 - 新書排行榜
社畜OL,為了在異世界生存下去被冷漠魔法師抱了。(全)
作者:つつらひの
出版社:紳士出版
出版日期:2025-05-30
$ 180 
金石堂 - 新書排行榜
既然你都這麼說了我就抱你吧(02)
作者:にやま
出版社:尖端漫畫
出版日期:2025-05-23
$ 136 
金石堂 - 新書排行榜
姊嫁物語(15)
作者:森薰
出版社:台灣角川股份有限公司
出版日期:2025-06-05
$ 126 
 

©2025 FindBook.com.tw -  購物比價  找書網  找車網  服務條款  隱私權政策