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Web Recommendations Systems

  • K. R. Venugopal
  • K. C. Srikantaiah
  • Sejal Santosh Nimbhorkar
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Table of contents

  1. Front Matter
    Pages i-xxi
  2. K. R. Venugopal, K. C. Srikantaiah, Sejal Santosh Nimbhorkar
    Pages 1-9
  3. K. R. Venugopal, K. C. Srikantaiah
    Pages 11-25
  4. K. R. Venugopal, K. C. Srikantaiah
    Pages 27-48
  5. K. R. Venugopal, K. C. Srikantaiah
    Pages 67-86
  6. K. R. Venugopal, Sejal Santosh Nimbhorkar
    Pages 87-108
  7. K. R. Venugopal, Sejal Santosh Nimbhorkar
    Pages 109-130
  8. K. R. Venugopal, Sejal Santosh Nimbhorkar
    Pages 131-142
  9. K. R. Venugopal, Sejal Santosh Nimbhorkar
    Pages 143-160
  10. Back Matter
    Pages 161-164

About this book

Introduction

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.

Keywords

Web recommendations systems Web data extraction WDICS BGCAP WCP-CMA MPC-LSW algorithm

Authors and affiliations

  • K. R. Venugopal
    • 1
  • K. C. Srikantaiah
    • 2
  • Sejal Santosh Nimbhorkar
    • 3
  1. 1.Bangalore UniversityBengaluruIndia
  2. 2.Department of Computer Science and EngineeringSJB Institute of TechnologyBengaluruIndia
  3. 3.Department of Computer Science and EngineeringBNM Institute of TechnologyBengaluruIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-2513-1
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-15-2512-4
  • Online ISBN 978-981-15-2513-1
  • Buy this book on publisher's site