DocumentCode
2386697
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
fYear
2011
fDate
9-12 Oct. 2011
Firstpage
3586
Lastpage
3591
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1062-922X
Print_ISBN
978-1-4577-0652-3
Type
conf
DOI
10.1109/ICSMC.2011.6084225
Filename
6084225
Link To Document