"Researchers dealing with problems of accessing high volumes of complex data will make the best use of this book. Even though it is primarily a research text, the authors extensively present existing approaches to recommender systems and machine learning in a tutorial style. ... I will recommend the book to my graduate students as a nice piece of research including well-presented background and good evaluation methodology." (M. Bielikova, Computing Reviews, computingreviews.com, August, 2016)

• 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.

"Researchers dealing with problems of accessing high volumes of complex data will make the best use of this book. Even though it is primarily a research text, the authors extensively present existing approaches to recommender systems and machine learning in a tutorial style. ... I will recommend the book to my graduate students as a nice piece of research including well-presented background and good evaluation methodology." (M. Bielikova, Computing Reviews, computingreviews.com, August, 2016)

• 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.

"Researchers dealing with problems of accessing high volumes of complex data will make the best use of this book. Even though it is primarily a research text, the authors extensively present existing approaches to recommender systems and machine learning in a tutorial style. ... I will recommend the book to my graduate students as a nice piece of research including well-presented background and good evaluation methodology." (M. Bielikova, Computing Reviews, computingreviews.com, August, 2016)

• 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.