Recommender Systems Beyond E-Commerce: Presence and Future

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Buch/BerichtBegutachtung

Abstract

Recommender systems are supporting users in the identification of items that fulfill their wishes and needs and are also helping to foster consumer happiness. These systems have been successfully applied in different application domains—examples thereof are the recommendation of movies, books, digital cameras, points of interest, financial services, and software requirements. The major objectives of this chapter are to provide an overview of recommendation approaches including criteria when to use which algorithm, to show different applications of recommendation algorithms going beyond standard e-commerce scenarios and to discuss issues for future research
Originalspracheenglisch
TitelConsumer Happiness: Multiple Perspectives
Herausgeber (Verlag)Springer Singapore
Seiten203-230
Seitenumfang28
Auflage1
ISBN (elektronisch)978-981-336-374-8
ISBN (Print)978-981-336-373-1
DOIs
PublikationsstatusVeröffentlicht - 2021

Publikationsreihe

NameStudies in Rhythm Engineering
Herausgeber (Verlag)Springer Nature

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