Buch, Englisch, 164 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 488 g
ISBN: 978-981-15-2512-4
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Webprogrammierung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
Weitere Infos & Material
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.