Overview
- Covers the topic of Web recommender systems
- Presents algorithmic approaches in the field of Web recommendations
- Discusses how to measure the effectiveness of recommender systems and illustrates the methods
- Strikes a balance between fundamental concepts and state-of-the-art technologies
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About this book
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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Keywords
Table of contents (9 chapters)
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Web Recommendations Systems
Authors: K. R. Venugopal, K. C. Srikantaiah, Sejal Santosh Nimbhorkar
DOI: https://doi.org/10.1007/978-981-15-2513-1
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-2512-4Published: 03 March 2020
Softcover ISBN: 978-981-15-2515-5Published: 03 March 2021
eBook ISBN: 978-981-15-2513-1Published: 02 March 2020
Edition Number: 1
Number of Pages: XXI, 164
Number of Illustrations: 39 b/w illustrations, 4 illustrations in colour
Topics: Web Development, Image Processing and Computer Vision, Data Structures, Data Mining and Knowledge Discovery