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
Collects 138 invited and contributed papers which are extended versions of the papers presented at the July 1996 conference and are grouped to discuss six distinct topics: photonic engineering and bus
