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.

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

• Front Matter
• Introduction
• Web Data Extraction and Integration System for Search Engine Results
• Mining and Cyclic Behaviour Analysis of Web Sequential Patterns
• Automatic Discovery and Ranking of Synonyms for Search Keywords in the Web
• Construction of Topic Directories Using Levenshtein Similarity Weight
• Related Search Recommendation with User Feedback Session
• Web Page Recommendations Based Web Navigation Prediction
• Web Page Recommendations Based on User Session Graph
• Advertisement Recommendations Using Expectation Maximization
• Back Matter

Bangalore University, Bengaluru, India
K. R. Venugopal

Department of Computer Science and Engineering, SJB Institute of Technology, Bengaluru, India
K. C. Srikantaiah

Department of Computer Science and Engineering, BNM Institute of Technology, Bengaluru, India
Sejal Santosh Nimbhorkar

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

Hardcover ISBN
978-981-15-2512-4
Published: 03 March 2020

Softcover ISBN
978-981-15-2515-5
Published: 03 March 2021

eBook ISBN
978-981-15-2513-1
Published: 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