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Sinopsis
As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms.
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The Author: Karen H. L. Tso-Sutter received her Bachelor in Electrical Engineering at the University of British Columbia in 2002, a Master in Communication and Media Engineering at the University of Applied Science Offenburg (FH Offenburg) in 2004. From 2004 to 2006, she pursued her Ph.D. in Computer Science at the University of Freiburg im Breisgau, researching on attribute-aware recommender systems. In 2006, she continued her Ph.D. studies at the Information Systems and Machine Learning Lab (ISMLL) at the University of Hildesheim as the team moved. She is currently working as a researcher at SAP Research in Darmstadt since 2008.
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Towards Metadata-Aware Algorithms for Recommender Systems
Librería: Rarewaves.com UK, London, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Hardback. Condición: New. As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms. Nº de ref. del artículo: LU-9783631598412
Cantidad disponible: Más de 20 disponibles
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Towards Metadata-Aware Algorithms for Recommender Systems
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardback. Condición: New. As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms. Nº de ref. del artículo: LU-9783631598412
Cantidad disponible: Más de 20 disponibles
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Towards Metadata-Aware Algorithms for Recommender Systems
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms. 136 pp. Englisch. Nº de ref. del artículo: 9783631598412
Cantidad disponible: 2 disponibles
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Towards Metadata-Aware Algorithms for Recommender Systems
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms. Nº de ref. del artículo: 9783631598412
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Towards Metadata-Aware Algorithms for Recommender Systems
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. This book reports several research gaps in metada. Nº de ref. del artículo: 123588226
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Towards Metadata-Aware Algorithms for Recommender Systems
Publicado por
Peter Lang, Peter Lang Feb 2010, 2010
ISBN 10: 3631598416
ISBN 13: 9783631598412
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms. 136 pp. Englisch. Nº de ref. del artículo: 9783631598412
Cantidad disponible: 2 disponibles
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TOWARDS METADATA-AWARE ALGORITHMS FOR RECOMMENDER SYSTEMS
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Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2010
ISBN 10: 3631598416
ISBN 13: 9783631598412
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Librería: Basi6 International, Irving, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Nº de ref. del artículo: ABEJUNE24-271806
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Towards Metadata-Aware Algorithms for Recommender Systems
Impresión bajo demandaLibrería: preigu, Osnabrück, Alemania
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Buch. Condición: Neu. Towards Metadata-Aware Algorithms for Recommender Systems | Karen Tso-Sutter | Buch | Englisch | 2010 | Peter Lang | EAN 9783631598412 | Verantwortliche Person für die EU: Lang, Peter GmbH, Gontardstr. 11, 10178 Berlin, r[dot]boehm-korff[at]peterlang[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 103733481
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Towards Metadata-Aware Algorithms for Recommender Systems (Informationstechnologie und Ökonomie)
Publicado por
Peter Lang GmbH, Internationaler Verlag der Wissen, 2010
ISBN 10: 3631598416
ISBN 13: 9783631598412
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Librería: Mispah books, Redhill, SURRE, Reino Unido
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Hardcover. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA77336315984160
Cantidad disponible: 1 disponibles