Emotive and personality parameters in recommender systems: Recognition and usage of user-centric data for user and item modeling in content retrieval systems - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
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.
Product Description
Book by Marko Tkalcic Andrej Koir Jurij F Tasic
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Emotive and personality parameters in recommender systems
Editore:
LAP LAMBERT Academic Publishing Apr 2011, 2011
ISBN 10: 3844333096
ISBN 13: 9783844333091
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 104 pp. Englisch. Codice articolo 9783844333091
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Emotive and personality parameters in recommender systems
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Emotive and personality parameters in recommender systems
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 3844333096
ISBN 13: 9783844333091
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Emotive and personality parameters in recommender systems
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 3844333096
ISBN 13: 9783844333091
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Condizione: New. PRINT ON DEMAND pp. 104. Codice articolo 18128896339
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Emotive and personality parameters in recommender systems
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LAP LAMBERT Academic Publishing Apr 2011, 2011
ISBN 10: 3844333096
ISBN 13: 9783844333091
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. Codice articolo 9783844333091
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Emotive and personality parameters in recommender systems : Recognition and usage of user-centric data for user and item modeling in content retrieval systems
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844333096
ISBN 13: 9783844333091
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Taschenbuch. Condizione: Neu. 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. Codice articolo 9783844333091
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Emotive and personality parameters in recommender systems | Recognition and usage of user-centric data for user and item modeling in content retrieval systems
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844333096
ISBN 13: 9783844333091
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Taschenbuch. Condizione: Neu. Emotive and personality parameters in recommender systems | Recognition and usage of user-centric data for user and item modeling in content retrieval systems | Marko Tkal¿i¿ (u. a.) | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844333091 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 107019364
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