Order Total (1 Item Items):
Shipping Destination:
Context Aware Ranking Factorization Models by Rendle Steffen (20 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (20)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (17)
- As New, Fine or Near Fine (3)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (12)
- Not Print on Demand (12)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
Seller Location
Seller Rating
-
Condition: As New. Unread book in perfect condition.
-
Context-Aware Ranking with Factorization Models (Studies in Computational Intelligence, 330)
Book 24 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Context-Aware Ranking with Factorization Models (Studies in Computational Intelligence, 330)
Book 24 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Context-Aware Ranking With Factorization Models
Book 24 of 538: Studies in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
-
Context-Aware Ranking With Factorization Models
Book 24 of 538: Studies in Computational IntelligenceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 104.02
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2010
ISBN 10: 3642168973 ISBN 13: 9783642168970
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 125.31
Free Shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. 2011 ed.
-
-
Taschenbuch. Condition: Neu. Context-Aware Ranking with Factorization Models | Steffen Rendle | Taschenbuch | Studies in Computational Intelligence | xii | Englisch | 2014 | Springer | EAN 9783642423970 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642423973 ISBN 13: 9783642423970
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, .) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for context are the user for recommender systems and the query for search engines. More complicated context includes time, last actions, etc. The major problem is that typically the variable domains (e.g. customers, products) are categorical and huge, the observations are very sparse and only positive events are observed. In this book, a generic method for context-aware ranking as well as its application are presented. For modelling a new factorization based on pairwise interactions is proposed and compared to other tensor factorization approaches. For learning, the `Bayesian Context-aware Ranking' framework consisting of an optimization criterion and algorithm is developed. The second main part of the book applies this general theory to the three scenarios of item, tag and sequential-set recommendation. Furthermore extensions of time-variant factors and one-class problems are studied. This book generalizes and builds on work that has received the `WWW 2010 Best Paper Award', the `WSDM 2010 Best Student Paper Award' and the `ECML/PKDD 2009 Best Discovery Challenge Award'.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer-Verlag GmbH, 2010
ISBN 10: 3642168973 ISBN 13: 9783642168970
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2010
ISBN 10: 3642168973 ISBN 13: 9783642168970
£ 114.17
£ 65 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. 2011 ed.
-
Condition: new. Questo è un articolo print on demand.
-
Condition: new. Questo è un articolo print on demand.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer Berlin Heidelberg Okt 2014, 2014
ISBN 10: 3642423973 ISBN 13: 9783642423970
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, .) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for context are the user for recommender systems and the query for search engines. More complicated context includes time, last actions, etc. The major problem is that typically the variable domains (e.g. customers, products) are categorical and huge, the observations are very sparse and only positive events are observed. In this book, a generic method for context-aware ranking as well as its application are presented. For modelling a new factorization based on pairwise interactions is proposed and compared to other tensor factorization approaches. For learning, the `Bayesian Context-aware Ranking' framework consisting of an optimization criterion and algorithm is developed. The second main part of the book applies this general theory to the three scenarios of item, tag and sequential-set recommendation. Furthermore extensions of time-variant factors and one-class problems are studied. This book generalizes and builds on work that has received the `WWW 2010 Best Paper Award', the `WSDM 2010 Best Student Paper Award' and the `ECML/PKDD 2009 Best Discovery Challenge Award'. 192 pp. Englisch.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642423973 ISBN 13: 9783642423970
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a unified theory of context-aware ranking that subsumes several recommendation tasks such as item, tag and context-aware recommendation Easily readable and understandable Written by an expert in the fieldPresents a unifi.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642168973 ISBN 13: 9783642168970
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a unified theory of context-aware ranking that subsumes several recommendation tasks such as item, tag and context-aware recommendation Easily readable and understandable Written by an expert in the fieldContext-aware ranki.
-
Condition: New. Print on Demand.
-
Condition: New. PRINT ON DEMAND.
-
Context-Aware Ranking with Factorization Models
Book 24 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer, Springer Okt 2014, 2014
ISBN 10: 3642423973 ISBN 13: 9783642423970
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, .) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for context are the user for recommender systems and the query for search engines. More complicated context includes time, last actions, etc. The major problem is that typically the variable domains (e.g. customers, products) are categorical and huge, the observations are very sparse and only positive events are observed. In this book, a generic method for context-aware ranking as well as its application are presented. For modelling a new factorization based on pairwise interactions is proposed and compared to other tensor factorization approaches. For learning, the `Bayesian Context-aware Ranking' framework consisting of an optimization criterion and algorithm is developed. The second main part of the book applies this general theory to the three scenarios of item, tag and sequential-set recommendation. Furthermore extensions of time-variant factors and one-class problems are studied. This book generalizes and builds on work that has received the `WWW 2010 Best Paper Award', the `WSDM 2010 Best Student Paper Award' and the `ECML/PKDD 2009 Best Discovery Challenge Award'.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.
