Web Recommendations Systems
暫譯: 網路推薦系統

Venugopal, K. R., Srikantaiah, K. C., Santosh Nimbhorkar, Sejal

Web Recommendations Systems
  • 出版商: Springer
  • 出版日期: 2020-03-03
  • 售價: $5,910
  • 貴賓價: 9.5 折 $5,615
  • 語言: 英文
  • 頁數: 164
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811525129
  • ISBN-13: 9789811525124

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商品描述

This book focuses on Web recommender systems, offering an overview of approaches to develop these state-of-the-art systems. It also presents algorithmic approaches in the field of Web recommendations by extracting knowledge from Web logs, Web page content and hyperlinks. Recommender systems have been used in diverse applications, including query log mining, social networking, news recommendations and computational advertising, and with the explosive growth of Web content, Web recommendations have become a critical aspect of all search engines. The book discusses how to measure the effectiveness of recommender systems, illustrating the methods with practical case studies. It strikes a balance between fundamental concepts and state-of-the-art technologies, providing readers with valuable insights into Web recommender systems.

商品描述(中文翻譯)

本書專注於網路推薦系統，提供開發這些尖端系統的方法概述。它還介紹了在網路推薦領域的演算法方法，通過從網路日誌、網頁內容和超連結中提取知識來實現。推薦系統已被應用於多種應用場景，包括查詢日誌挖掘、社交網路、新聞推薦和計算廣告，隨著網路內容的爆炸性增長，網路推薦已成為所有搜尋引擎的一個關鍵方面。本書討論了如何衡量推薦系統的有效性，並通過實際案例研究來說明這些方法。它在基本概念和尖端技術之間取得了平衡，為讀者提供了有關網路推薦系統的寶貴見解。

作者簡介

Dr. K R Venugopal is the Vice Chancellor of Bangalore University. He holds eleven degrees, including a Ph.D. in Computer Science Engineering from IIT-Madras, Chennai and a Ph.D. in Economics from Bangalore University. He also has degrees in Law, Mass Communication, Electronics, Economics, Business Finance, Computer Science, Public Relations and Industrial Relations. He has authored and edited 68 books and published more than 800 papers in refereed international journals and international conferences. Dr. Venugopal was a postdoctoral research scholar at the University of Southern California, USA. He has been conferred with IEEE fellow and ACM Distinguished Educator for his contributions to computer science engineering and electrical engineering education.Dr. K C Srikantaiah is a Professor at the Department of Computer Science and Engineering at SJB Institute of Technology, Bangalore, India. He received his B.E. from Bangalore Institute of Technology, M.E. from University Visvesvaraya College of Engineering, Bangalore, in 2002 and Ph.D. degree in Computer Science and Engineering from Bangalore University in 2014. He has published 20 research papers and authored a book on Web mining algorithms. His research interests include data mining, Web mining, big data analytics, cloud analytics and the Semantic Web.Dr. Sejal Santosh Nimbhorkar is an Associate Professor at B N M Institute of Technology. She has more than 15 years of industry, research and teaching experience. She holds M.E. and B.E. degrees in Computer Science and Engineering from University Visvesvaraya College of Engineering and Gujarat University, respectively. She has published 18 papers in refereed international journals and international conferences. She received an outstanding paper award at the 2015 European Conference on Data Mining. Dr. Nimbhorkar has also received project grants from Karnataka State Council for Science and Technology (KSCST). Her research interests include mining, Web mining, sentiment analysis and IoT.

作者簡介(中文翻譯)

K R Venugopal 博士是班加羅爾大學的副校長。他擁有十一個學位，包括來自印度理工學院馬德拉斯分校（IIT-Madras, Chennai）的計算機科學工程博士學位，以及來自班加羅爾大學的經濟學博士學位。他還擁有法律、大眾傳播、電子學、經濟學、商業金融、計算機科學、公關和工業關係等學位。他已撰寫和編輯了68本書籍，並在國際期刊和國際會議上發表了超過800篇論文。Venugopal 博士曾是美國南加州大學的博士後研究學者。他因對計算機科學工程和電氣工程教育的貢獻而被授予 IEEE 會士和 ACM 傑出教育者稱號。

K C Srikantaiah 博士是印度班加羅爾 SJB 技術學院計算機科學與工程系的教授。他於2002年獲得班加羅爾技術學院的工程學士學位，並於2014年獲得班加羅爾大學的計算機科學與工程博士學位。他已發表20篇研究論文，並撰寫了一本有關網路挖掘算法的書籍。他的研究興趣包括數據挖掘、網路挖掘、大數據分析、雲分析和語義網。

Sejal Santosh Nimbhorkar 博士是 B N M 技術學院的副教授。她擁有超過15年的產業、研究和教學經驗。她分別在維斯維斯瓦拉雅工程學院和古吉拉特大學獲得計算機科學與工程的碩士和學士學位。她在國際期刊和國際會議上發表了18篇論文，並在2015年歐洲數據挖掘會議上獲得優秀論文獎。Nimbhorkar 博士還獲得了卡納塔克州科學與技術委員會（KSCST）的項目資助。她的研究興趣包括挖掘、網路挖掘、情感分析和物聯網（IoT）。

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