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Web-Based Recommender Systems and User Needs – the Comprehensive View
Przemysław Kazienko
243 - 258
10.3233/978-1-58603-904-2-243
Frontiers in Artificial Intelligence and Applications
Volume 181: New Trends in Multimedia and Network Information Systems
Abstract

Recommender systems became an important element of many web-based systems. The general process about how recommender systems fulfil various user needs based on the analysis of recent literature in presented in the survey paper. Recommender systems are compared with other method like Information Retrieval and browsing. The paper also includes the comprehensive view over the typical components and structure of recommender systems. The state-of-the-art of recommendation methods is described as well.

$35.00 / €27.50 / £22.00
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