BRS cS: a hybrid recommendation model fusing multi-source heterogeneous data

Recommendation systems are often used to solve the problem of information overload on the Internet. Many types of data can be used for recommendations, and fusing different types of data can make recommendations more accurate. Most existing fusion recommendation models simply combine the recommendat...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking 2020-06, Vol.2020 (1), Article 124
Hauptverfasser:	Ji, Zhenyan, Yang, Chun, Wang, Huihui, Armendáriz-iñigo, José Enrique, Arce-Urriza, Marta
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Communications Engineering Engineering Green Communication for Heterogeneous Internet of Things Information Systems Applications (incl.Internet) Networks Neural networks Recommender systems Signal,Image and Speech Processing
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