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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1 Introduction.- 2 Web Data Extraction and Integration System for Search Engine Result Pages.- 3 Mining and Analysis of Web Sequential Patterns.- 4 Automatic Discovery and Ranking of Synonyms for Search
Keywords in the Web.- 5 Construction of Topic Directories using Levenshtein Similarity Weight .- 6 Related Search Recommendation with User Feedback Session.- 7 Webpage Recommendations based Web Navigation Prediction.
Keywords in the Web.- 5 Construction of Topic Directories using Levenshtein Similarity Weight .- 6 Related Search Recommendation with User Feedback Session.- 7 Webpage Recommendations based Web Navigation Prediction.
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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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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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Produktdetaljer
ISBN
9789811525124
Publisert
2020-03-03
Utgiver
Springer Verlag, Singapore; Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
164