Reader centric real-time electric magazine article generator

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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Beschreibung
Zusammenfassung: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 confabulation model. Both systems were found to recommend suitable articles.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2011.6084225