DocumentCode :
175440
Title :
Recommending Documents for Complex Question Exploration by Analyzing Browsing Behavior
Author :
Abbott, Alya ; Simek, Olga
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
fYear :
2014
fDate :
24-26 Sept. 2014
Firstpage :
321
Lastpage :
321
Abstract :
We present a novel approach for recommending documents to users by analyzing user browsing behavior, and demonstrate the effectiveness of our methods using an original data set.
Keywords :
behavioural sciences computing; document handling; recommender systems; browsing behavior; complex question exploration; documents; original data set; Algorithm design and analysis; Joints; Laboratories; Prediction algorithms; Recommender systems; Security; Semantics; browsing history; dimensionality reduction; document prioritization; question answering; recommender systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics Conference (JISIC), 2014 IEEE Joint
Conference_Location :
The Hague
Print_ISBN :
978-1-4799-6363-8
Type :
conf
DOI :
10.1109/JISIC.2014.66
Filename :
6975604
Link To Document :
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