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Context-Aware Collaborative Prediction / / by Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan



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Autore: Wu Shu Visualizza persona
Titolo: Context-Aware Collaborative Prediction / / by Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (74 pages)
Disciplina: 004
Soggetto topico: Information storage and retrieval
Application software
Data mining
Artificial intelligence
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Data Mining and Knowledge Discovery
Artificial Intelligence
Persona (resp. second.): LiuQiang
WangLiang
TanTieniu
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 1. Introduction -- 2. Context-Aware Collaborative Prediction -- 3. Context Operation -- 4. Hierarchical Representation -- 5. Context-Aware Recurrent Structure -- 6. Performance of Different Collaborative Prediction Tasks.
Sommario/riassunto: This book presents two collaborative prediction approaches based on contextual representation and hierarchical representation, and their applications including context-aware recommendation, latent collaborative retrieval and click-through rate prediction. The proposed techniques offer significant improvements over current methods, the key determinants being the incorporated contextual representation and hierarchical representation. To provide a background to the core ideas presented, it offers an overview of contextual modeling and the theory of contextual representation and hierarchical representation, which are constructed for the joint interaction of entities and contextual information. The book offers a rich blend of theory and practice, making it a valuable resource for students, researchers and practitioners who need to construct systems of information retrieval, data mining and recommendation systems with contextual information.
Titolo autorizzato: Context-Aware Collaborative Prediction  Visualizza cluster
ISBN: 981-10-5373-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910280956603321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Computer Science, . 2191-5768