Using Concept Lattice for Personalized Recommendation System Design

A novel personalized recommendation system (PRS) based on concept lattice is proposed and used to discover valuable information according to users' requirements and interests quickly and efficiently. The system is divided into the offline part and the online part. In the offline part, the forma...

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Veröffentlicht in:	IEEE systems journal 2017-03, Vol.11 (1), p.305-314
Hauptverfasser:	Caifeng Zou, Daqiang Zhang, Jiafu Wan, Mehedi Hassan, Mohammad, Lloret, Jaime
Format:	Artikel
Sprache:	eng
Schlagworte:	Association rule extraction Association rules Collaboration collaborative filtering recommendation concept lattice Context Customization Data processing formal concept analysis (FCA) Lattice design Lattices Libraries Motion pictures personalized recommendation system (PRS) Recommender systems Systems design User requirements
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