Machine Learning Paradigms Applications in Recommender Systems /

• Main Authors: Lampropoulos, Aristomenis S. (Author), Tsihrintzis, George A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Intelligent Systems Reference Library, 92
• Subjects: Engineering.; Artificial intelligence.; Computer graphics.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Computer Imaging, Vision, Pattern Recognition and Graphics.

This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perfo...

Table of Contents:

• Introduction
• Review of Previous Work Related to Recommender Systems
• The Learning Problem.-Content Description of Multimedia Data
• Similarity Measures for Recommendations based on Objective Feature Subset Selection
• Cascade Recommendation Methods
• Evaluation of Cascade Recommendation Methods
• Conclusions and Future Work.