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Web Recommendations Systems

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

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Web Recommendations Systems

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

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.

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Page Count

178

Publisher

Springer Nature

Published Date

ISBN 10

9811525137

ISBN 13

9789811525131

Web Recommendations Systems

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

Web Recommendations Systems

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

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

178

Publisher

Springer Nature

Published Date

ISBN 10

9811525137

ISBN 13

9789811525131