Product Recommendations in E-Commerce Retailing Applications

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The book deals with product recommendations generated by information systems referred to as recommender systems. Recommender systems assist consumers in making product choices by providing recommendations of the range of products and services offered in an online purchase environment. The quantitati...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Knotzer, Nicolas (Autor)
Formato: Tesis Electrónico eBook
Idioma:Inglés
Publicado: Frankfurt a.M. Peter Lang GmbH, Internationaler Verlag der Wissenschaften [2018], ©2008.
Edición:1st, New ed.
Colección:Free online access: JSTOR.
Temas:
Electronic commerce.
Recommender systems (Information filtering)
Internet marketing.
Commerce électronique.
Systèmes de recommandation (Filtrage d'information)
Marketing sur Internet.
Electronic commerce
Internet marketing
Academic Dissertation
dissertations.
Academic theses
Academic theses.
Thèses et écrits académiques.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Classification and application models of recommender systems
  • Business goals
  • The consumer decision process
  • Virtual communities and network effects
  • Consumer-generated content (product reviews)
  • Functional aspects of recommender systems
  • Design aspects
  • Personalized and non-personalized recommendation methods
  • Research model and hypothesis
  • Influence of psychographic and sociodemographic determinants on the interest in personalized recommendations.

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