Reader centric real-time electric magazine article generator

A real-time E-magazine article generation system that uses two article recommendation systems have been developed. The first recommendation system is called the Relevance-Based Recommender, which uses mutual information, and the second is called the Reading History Based Recommender, which uses a co...

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Bibliographische Detailangaben

Hauptverfasser:	Takada, T., Taira, Y., Akatsuka, S., Arai, M., Takagi, T., Maruyama, N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Brain modeling Confabulation-Model E-magazine Equations Feature extraction History Mathematical model Mutual information Recommender Vectors
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