Emotive and personality parameters in recommender systems: Recognition and usage of user-centric data for user and item modeling in content retrieval systems - Tapa blanda

Tkal?i?, Marko; Ko?ir, Andrej; F. Tasi?, Jurij

 
9783844333091: Emotive and personality parameters in recommender systems: Recognition and usage of user-centric data for user and item modeling in content retrieval systems
Tapa blanda
ISBN 10: 3844333096 ISBN 13: 9783844333091
Editorial: LAP LAMBERT Academic Publishing, 2011

Sinopsis

The growing amount of multimedia content is making it hard for end users to find the relevant content. The goal of recommender systems is to assist the users by finding a small subset of relevant multimedia items for each user. State-of-the-art techniques for recommending content are very data-centric. The progress beyond the state-of-the-art presented in this book consists in introducing new parameters based on emotions and personality that explain a substantial part of variance in the end users' preferences. The book covers the detection of emotions and personality factors of end users. The book then shows clearly how to use these user-centric data to model end users and thus improve the performance of a recommender system for images. The book will serve as a guideline and inspiration for practitioners and academics in content retrieval and affecting computing.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

The growing amount of multimedia content is making it hard for end users to find the relevant content. The goal of recommender systems is to assist the users by finding a small subset of relevant multimedia items for each user. State-of-the-art techniques for recommending content are very data-centric. The progress beyond the state-of-the-art presented in this book consists in introducing new parameters based on emotions and personality that explain a substantial part of variance in the end users' preferences. The book covers the detection of emotions and personality factors of end users. The book then shows clearly how to use these user-centric data to model end users and thus improve the performance of a recommender system for images. The book will serve as a guideline and inspiration for practitioners and academics in content retrieval and affecting computing.

Biografía del autor

Marko Tkal?i? (right), PhD, researcher at the University of Ljubljana (UL), research interests cover the role of emotions in human computer interactions. Andrej Ko?ir (left), PhD, professor at UL, research areas include operational research and user personalization. Jurij Tasi? (middle), PhD, professor of system theory and computing at UL.

Marko Tkal?i? (right), PhD, researcher at the University of Ljubljana (UL), research interests cover the role of emotions in human computer interactions. Andrej Ko?ir (left), PhD, professor at UL, research areas include operational research and user personalization. Jurij Tasi? (middle), PhD, professor of system theory and computing at UL.

Marko Tkal?i? (right), PhD, researcher at the University of Ljubljana (UL), research interests cover the role of emotions in human computer interactions. Andrej Ko?ir (left), PhD, professor at UL, research areas include operational research and user personalization. Jurij Tasi? (middle), PhD, professor of system theory and computing at UL.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2011
Idioma
Inglés
ISBN 10 
3844333096
ISBN 13 
9783844333091
Encuadernación
Tapa blanda
Número de páginas
104
Contacto del fabricante
no disponible
Persona responsable
no disponible