Description:
The first book dedicated to this new branch of machine learning and data mining, this comprehensive treatment, which covers everything from label ranking to preference learning and recommender systems, will be required reading for researchers working in AI.
Review Quotes:
From the reviews:
"The book looks at three major types of preference learning: label ranking, instance ranking, and object ranking. ... chapters contain case studies and actual experiments to illustrate the claims made within. ... this is a useful book in an emerging and important area, and hence would be of interest to machine learning researchers. The book is quite readable to that audience, despite a heavy emphasis on formal treatment." (M. Sasikumar, ACM Computing Reviews, September, 2011)