Beschreibung
Produktdetails
Einband
Taschenbuch
Altersempfehlung
1 - 99 Jahr(e)
Erscheinungsdatum
19.01.2012
Verlag
EpubliSeitenzahl
364
Maße (L/B/H)
2/14,8/2,1 cm
Gewicht
554 g
Auflage
2. Auflage
Sprache
Deutsch
ISBN
978-3-8442-0823-8
How to identify the most relevant recommender systems?
Recommender systems, such as “customers who bought this item also bought…“, are omnipresent in the internet and play a vital role in the online consumer purchase decision. Single web pages normally offer many recommender systems in parallel. The vast variety of in-use decision making systems is driven by sheer technological possibility.
Space constraints emerge with a continuously increasing number of available recommender systems and are enforced by the smaller screen sizes on mobile devices. The crucial question becomes - how to implement only the most relevant recommender systems – yet the question still waits for a comprehensive answer.
This dissertation takes up the challenge. It turns away from the software engineer perspective of creating one-size-fits-all solutions and takes up the business perspective of managing choice instead. Questions addressed are: How relevant are available recommender systems to my customers? At what point in the purchase is each needed most? What should I deploy to serve my customers best?
Sophie Ahrens shows that recommender system relevance is influenced by the underlying technology, purchasing context, and user characteristics in decision making. She delivers a framework that matches recommender systems and customer needs to increase online sales. Her book starts with a thorough literature review on recommender system, world-of-mouth, and consumer behavior research. It then presents a typology to classify recommender systems. A conceptual framework is developed to explain recommender system relevance drawing on theories pertaining to technology acceptance, consumer behavior, interpersonal persuasion and information processing. Five empirical studies employing innovative designs and various
data sources test and support its explanatory power. Findings are conveyed into a management tool to guide the optimal choice of recommender systems in practice.
Recommender systems, such as “customers who bought this item also bought…“, are omnipresent in the internet and play a vital role in the online consumer purchase decision. Single web pages normally offer many recommender systems in parallel. The vast variety of in-use decision making systems is driven by sheer technological possibility.
Space constraints emerge with a continuously increasing number of available recommender systems and are enforced by the smaller screen sizes on mobile devices. The crucial question becomes - how to implement only the most relevant recommender systems – yet the question still waits for a comprehensive answer.
This dissertation takes up the challenge. It turns away from the software engineer perspective of creating one-size-fits-all solutions and takes up the business perspective of managing choice instead. Questions addressed are: How relevant are available recommender systems to my customers? At what point in the purchase is each needed most? What should I deploy to serve my customers best?
Sophie Ahrens shows that recommender system relevance is influenced by the underlying technology, purchasing context, and user characteristics in decision making. She delivers a framework that matches recommender systems and customer needs to increase online sales. Her book starts with a thorough literature review on recommender system, world-of-mouth, and consumer behavior research. It then presents a typology to classify recommender systems. A conceptual framework is developed to explain recommender system relevance drawing on theories pertaining to technology acceptance, consumer behavior, interpersonal persuasion and information processing. Five empirical studies employing innovative designs and various
data sources test and support its explanatory power. Findings are conveyed into a management tool to guide the optimal choice of recommender systems in practice.
Ein neues Kapitel für Ihre Bücher
Ein neues Kapitel für Ihre Bücher
Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten dafür eine Thalia Geschenkkarte.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice