Title :
Reader centric real-time electric magazine article generator
Author :
Takada, Tomoki ; Taira, Yuri ; Akatsuka, Shinya ; Arai, Mizuki ; Takagi, Tomohiro ; Maruyama, Nobuhito
Author_Institution :
Dept. of Comput. Sci., Meiji Univ., Kawasaki, Japan
Abstract :
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.
Keywords :
electronic publishing; real-time systems; recommender systems; relevance feedback; article recommendation system; confabulation model; mutual information; reader centric real-time electric magazine article generator; reading history based recommender; real-time E-magazine article generation system; relevance-based recommender; Brain modeling; Equations; Feature extraction; History; Mathematical model; Mutual information; Vectors; Confabulation-Model; E-magazine; Recommender;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6084225
