A Novel Group Recommendation Mechanism From the Perspective of Preference Distribution

As people have become more and more connected, there are certain scenarios where items need to be recommended to groups of users rather than individual user, which motivate studies on group recommender systems (GRSs). However, developing GRSs is not an easy task, because a group consists of multiple...

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Veröffentlicht in:	IEEE access 2018-01, Vol.6, p.5865-5878
Hauptverfasser:	Guo, Zhiwei, Tang, Chaowei, Tang, Hui, Fu, Yunqing, Niu, Wenjia
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregates Collaboration collaborative filtering Decision making Group recommendation mechanism multi-criteria decision making Multiple criterion Predictive models preference distribution Preferences Recommender systems Regression models Support vector machines Training Transforms
Online-Zugang:	Volltext
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