Providing Justifications in Recommender Systems

Recommender systems are gaining widespread acceptance in e-commerce applications to confront the ldquoinformation overloadrdquo problem. Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com, etc.) try to explain their recommendat...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part A, Systems and humans man and cybernetics. Part A, Systems and humans, 2008-11, Vol.38 (6), p.1262-1272
Hauptverfasser:	Symeonidis, P., Nanopoulos, A., Manolopoulos, Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Boosting Collaboration Collaborative filtering (CF) content-based filtering (CB) e-commerce Informatics Information filtering Information filters justification Marketing and sales Navigation Nearest neighbor searches Recommender systems Robots
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