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Recommender Systems The Textbook /

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networ...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Aggarwal, Charu C. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Recommender Systems
  • Neighborhood-Based Collaborative Filtering
  • Model-Based Collaborative Filtering
  • Content-Based Recommender Systems
  • Knowledge-Based Recommender Systems
  • Ensemble-Based and Hybrid Recommender Systems
  • Evaluating Recommender Systems
  • Context-Sensitive Recommender Systems
  • Time- and Location-Sensitive Recommender Systems
  • Structural Recommendations in Networks
  • Social and Trust-Centric Recommender Systems
  • Attack-Resistant Recommender Systems
  • Advanced Topics in Recommender Systems.