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

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3844333096 / 9783844333091

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9783844333091

Title
Emotive and personality parameters in recommender systems : Recognition and usage of user-centric data for user and item modeling in content retrieval systems
Author
Marko Tkal¿i¿
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3844333096
ISBN 13
9783844333091
Item weight
173 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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