Recommender Systems Handbook, Ricci, Francesco, Rokach, Lior, Shapira, Bracha

Автор: Gerald Kembellec; Ghislaine Chartron; Imad Saleh
Название: Recommender Systems
ISBN: 1848217684 ISBN-13(EAN): 9781848217683
Издательство: Wiley
Рейтинг:
Цена: 146730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies.

Автор: Jos? J. Pazos Arias; Ana Fern?ndez Vilas; Rebeca P
Название: Recommender Systems for the Social Web
ISBN: 3642446272 ISBN-13(EAN): 9783642446276
Издательство: Springer
Рейтинг:
Цена: 113180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces opportunities and challenges that arise in the recommenders` area with the advent of Web 2.0. It presents the mains aspects in the Web 2.0 hype which have to be incorporated in traditional recommender systems.

Автор: Patricia Victor; Chris Cornelis; Martine De Cock
Название: Trust Networks for Recommender Systems
ISBN: 9491216392 ISBN-13(EAN): 9789491216398
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Featuring innovative contributions to the field such as a new bilattice-based model for trust and distrust, this book on a hot research topic is the first in-depth study of the potential of distrust in the emerging domain of trust-enhanced recommendation.

Автор: Vallverd?
Название: Handbook Of Research On Synthesizing Human Emotion In Intelligent Systems And Robotics
ISBN: 1466672781 ISBN-13(EAN): 9781466672789
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 238390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Emotions convey significant information through means of natural language analysis, embodiment, and emotional signing. Machines equipped with the ability to experience and interpret emotions perform better in complex environments and share in the emotionally-rich social context.The Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics presents a solid framework for taking human-robot interaction closer to its full potential. Presenting a close look at all the factors involved in modeling emotions and applying a thorough understanding of human emotional recognition to technology, this volume appeals to active researchers in the fields of artificial emotions, artificial intelligence, computing, robotics, philosophy, and psychology, as well as to students interested in the research of synthetic emotions.