Hardcover. Condizione: Good.
Da: Corner of a Foreign Field, Tokyo, TOKYO, Giappone
Prima edizione
EUR 34,72
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Aggiungi al carrelloHardcover. Condizione: Very Good. No Jacket. 1st Edition. 2008.Hardcover.Very good condition.363 pages.Ships from Japan.Usually ships in 1-2 working days.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 101,06
Quantità: Più di 20 disponibili
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 102,63
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 101,47
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Da: California Books, Miami, FL, U.S.A.
EUR 114,57
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 119,92
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 111,70
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 111,68
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 392.
Editore: Geijutsuseikatsusha, 1978
Da: Sunny Day Bookstore, SINGAPORE, Singapore
EUR 52,08
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Fine. The book is in fine condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 127,05
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 144,07
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Aggiungi al carrelloCondizione: New. In.
Da: Revaluation Books, Exeter, Regno Unito
EUR 150,97
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 366 pages. 9.00x6.00x0.89 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 152,90
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 366 pages. 9.21x6.14x0.88 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 114,36
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The massive growth of the Internet has made an enormous amount of infor- tion available to us. However, it is becoming very difficult for users to acquire an - plicable one. Therefore, some techniques such as information filtering have been - troduced to address this issue. Recommender systems filter information that is useful to a user from a large amount of information. Many e-commerce sites use rec- mender systems to filter specific information that users want out of an overload of - formation [2]. For example, Amazon. com is a good example of the success of - commender systems [1]. Over the past several years, a considerable amount of research has been conducted on recommendation systems. In general, the usefulness of the recommendation is measured based on its accuracy [3]. Although a high - commendation accuracy can indicate a user's favorite items, there is a fault in that - ly similar items will be recommended. Several studies have reported that users might not be satisfied with a recommendation even though it exhibits high recommendation accuracy [4]. For this reason, we consider that a recommendation having only accuracy is - satisfactory. The serendipity of a recommendation is an important element when c- sidering a user's long-term profits. A recommendation that brings serendipity to users would solve the problem of 'user weariness' and would lead to exploitation of users' tastes. The viewpoint of the diversity of the recommendation as well as its accuracy should be required for future recommender systems.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 176,49
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Lingua: Inglese
Editore: Springer US, Springer US Nov 2010, 2010
ISBN 10: 1441946721 ISBN 13: 9781441946720
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The massive growth of the Internet has made an enormous amount of infor- tion available to us. However, it is becoming very difficult for users to acquire an - plicable one. Therefore, some techniques such as information filtering have been - troduced to address this issue. Recommender systems filter information that is useful to a user from a large amount of information. Many e-commerce sites use rec- mender systems to filter specific information that users want out of an overload of - formation [2]. For example, Amazon. com is a good example of the success of - commender systems [1]. Over the past several years, a considerable amount of research has been conducted on recommendation systems. In general, the usefulness of the recommendation is measured based on its accuracy [3]. Although a high - commendation accuracy can indicate a user's favorite items, there is a fault in that - ly similar items will be recommended. Several studies have reported that users might not be satisfied with a recommendation even though it exhibits high recommendation accuracy [4]. For this reason, we consider that a recommendation having only accuracy is - satisfactory. The serendipity of a recommendation is an important element when c- sidering a user's long-term profits. A recommendation that brings serendipity to users would solve the problem of 'user weariness' and would lead to exploitation of users' tastes. The viewpoint of the diversity of the recommendation as well as its accuracy should be required for future recommender systems. 392 pp. Englisch.
Da: moluna, Greven, Germania
EUR 92,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The papers in this volume were peer-reviewed and carefully selectedMuch information in this series is published in advance of journal publicationThe contributors in this volume are world-renowned experts in their fieldThe massive gr.
Da: moluna, Greven, Germania
EUR 93,00
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The papers in this volume were peer-reviewed and carefully selectedMuch information in this series is published in advance of journal publicationThe contributors in this volume are world-renowned experts in their fieldThe massive gr.
Da: Majestic Books, Hounslow, Regno Unito
EUR 139,03
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 392 104 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 144,21
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 392.
Da: preigu, Osnabrück, Germania
EUR 95,70
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Towards Sustainable Society on Ubiquitous Networks | The 8th IFIP Conference on e-Business, e-Services, and e-Society (I3E 2008), September 24 - 26, 2008, Tokyo, Japan | Makoto Oya (u. a.) | Taschenbuch | xxvi | Englisch | 2010 | Springer | EAN 9781441946720 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer US, Springer US Nov 2010, 2010
ISBN 10: 1441946721 ISBN 13: 9781441946720
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The massive growth of the Internet has made an enormous amount of infor- tion available to us. However, it is becoming very difficult for users to acquire an - plicable one. Therefore, some techniques such as information filtering have been - troduced to address this issue. Recommender systems filter information that is useful to a user from a large amount of information. Many e-commerce sites use rec- mender systems to filter specific information that users want out of an overload of - formation [2]. For example, Amazon. com is a good example of the success of - commender systems [1]. Over the past several years, a considerable amount of research has been conducted on recommendation systems. In general, the usefulness of the recommendation is measured based on its accuracy [3]. Although a high - commendation accuracy can indicate a user's favorite items, there is a fault in that - ly similar items will be recommended. Several studies have reported that users might not be satisfied with a recommendation even though it exhibits high recommendation accuracy [4]. For this reason, we consider that a recommendation having only accuracy is - satisfactory. The serendipity of a recommendation is an important element when c- sidering a user's long-term profits. A recommendation that brings serendipity to users would solve the problem of ¿user weariness¿ and would lead to exploitation of users' tastes. The viewpoint of the diversity of the recommendation as well as its accuracy should be required for future recommender systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.