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