Trust Networks for Recommender Systems (Atlantis Computational Intelligence Systems) by Patricia Victor, Chris Cornelis and Martine De Cock
English | 2011 | ISBN: 9491216074 , 9789491216077 | 202 pages | PDF | 3 MB
English | 2011 | ISBN: 9491216074 , 9789491216077 | 202 pages | PDF | 3 MB
Foreword
Recommendation Systems are gaining tremendous prominence in the digital society, and are fast becoming the bastions of electronic commerce. “Will I like this book?”, “Is this a movie I can see with my kids?’, ‘Which hotel will suit me the best?”: we increasingly rely on the social aspects of the world wide web (WWW) to help us navigate through such questions in our everyday life. We are quick to judge, and even quicker to just imitate our friends and do what they did. The magic potion that casts a spell on us to imitate and even at times make irrational decisions is trust. Trust enhanced recommender systems are designed to help us to form an opinion on matters that are not entirely known to us, or evennot known at all.