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The International Encyclopedia of Digital Communication and Society 2015
DOI: 10.1002/9781118767771.wbiedcs084
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e‐Commerce Recommender Systems

Abstract: Recommender systems are a vital part of the way today's information society deals with information overload. Recommender systems help e‐commerce retailers to choose items to display based on customers' preferences, help users personalize search, and help streaming services create customized playlists. This entry describes multiple kinds of recommender systems and how they work. It also explains their historical and intellectual context, shows how they might affect users, and discusses current challenges.

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Cited by 8 publications
(3 citation statements)
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“…Ben's contribution was creating a relevant recommender system while searching and analyzing artifacts within the augmented reality application. Recommender systems use metadata attributes to find common themes between similar items and group them together (Boehmer, 2015). Ben's project discusses how recommender systems can be applied to cultural heritage research.…”
Section: Our Contributionmentioning
confidence: 99%
“…Ben's contribution was creating a relevant recommender system while searching and analyzing artifacts within the augmented reality application. Recommender systems use metadata attributes to find common themes between similar items and group them together (Boehmer, 2015). Ben's project discusses how recommender systems can be applied to cultural heritage research.…”
Section: Our Contributionmentioning
confidence: 99%
“…Ben's contribution was creating a relevant recommender system while searching and analyzing artifacts within the augmented reality application. Recommender systems use metadata attributes to find common themes between similar items and group them together (Boehmer, 2015). Ben's project discusses how recommender systems can be applied to cultural heritage research.…”
Section: Our Contributionmentioning
confidence: 99%
“…Recommender systems were invented in 1992, in the early days of the Internet (Boehmer, Jung, 2015). Using metadata attributes to group together similar items, they have become a staple for e-commerce sites and applications alike.…”
Section: Benmentioning
confidence: 99%