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Context-Aware Ranking with Factorization Models / Steffen Rendle / Buch / Studies in Computational Intelligence / Book / Englisch / 2010 / Springer Berlin / EAN 9783642168970 - copertina rigida, flessible

2010, ISBN: 9783642168970

[ED: Gebunden], [PU: Springer Berlin], Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines … Altro …

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Context-Aware Ranking with Factorization Models  Steffen Rendle  Buch  Studies in Computational Intelligence  Book  Englisch  2010  Springer Berlin  EAN 9783642168970 - Rendle, Steffen
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Context-Aware Ranking with Factorization Models Steffen Rendle Buch Studies in Computational Intelligence Book Englisch 2010 Springer Berlin EAN 9783642168970 - copertina rigida, flessible

2010, ISBN: 9783642168970

[ED: Gebunden], [PU: Springer Berlin], Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines … Altro …

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Context-Aware Ranking with Factorization Models Rendle, Steffen: - libri usati

2010

ISBN: 3642168973

Von Rendle, Steffen Rendle, Steffen Context-Aware Ranking with Factorization Models. Unser Preis. Neubindung, Buch fehlerhaft geklebt 10452488/12. Context-Aware Ranking with Factorization… Altro …

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Context-Aware Ranking with Factorization Models - copertina rigida, flessible

2010, ISBN: 3642168973

[EAN: 9783642168970], Gebraucht, guter Zustand, [PU: Springer Berlin], FACTORIZATION MODELS,CONTEXT-AWARE RANKING,RECOMMENDER SYSTEMS,COMPUTATIONAL INTELLIGENCE,, Neubindung, Buch fehlerh… Altro …

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Dettagli del libro
Context-Aware Ranking with Factorization Models

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'.

Informazioni dettagliate del libro - Context-Aware Ranking with Factorization Models


EAN (ISBN-13): 9783642168970
ISBN (ISBN-10): 3642168973
Copertina rigida
Anno di pubblicazione: 2010
Editore: Springer Berlin
180 Pagine
Peso: 0,432 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2008-06-24T10:14:52+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-06-27T02:06:56+02:00 (Zurich)
ISBN/EAN: 3642168973

ISBN - Stili di scrittura alternativi:
3-642-16897-3, 978-3-642-16897-0
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : steffen, rendle
Titolo del libro: context, models, ranking, intelligence studies


Dati dell'editore

Autore: Steffen Rendle
Titolo: Studies in Computational Intelligence; Context-Aware Ranking with Factorization Models
Editore: Springer; Springer Berlin
180 Pagine
Anno di pubblicazione: 2010-11-11
Berlin; Heidelberg; DE
Stampato / Fatto in
Peso: 1,000 kg
Lingua: Inglese
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XII, 180 p.

BB; Computational Intelligence; Hardcover, Softcover / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Computational Intelligence; Context-aware Ranking; Factorization Models; Recommender Systems; Artificial Intelligence; Computational Intelligence; Artificial Intelligence; BC; EA

Part I Overview.- Part II Theory.- Part III Application.- Part IV Extensions.- Part V Conclusion.

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 field



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