Title : 
RefSeer: A citation recommendation system
         
        
            Author : 
Wenyi Huang ; Zhaohui Wu ; MITRA, PINAKI ; Giles, C. Lee
         
        
            Author_Institution : 
Inf. Sci. & Technol., Pennsylvania State Univ., University Park, PA, USA
         
        
        
        
        
        
            Abstract : 
Citations are important in academic dissemination. To help researchers check the completeness of citations while authoring a paper, we introduce a citation recommendation system called RefSeer. Researchers can use it to find related works to cited while authoring papers. It can also be used by reviewers to check the completeness of a paper´s references. RefSeer presents both topic based global recommendation and also citation-context based local recommendation. By evaluating the quality of recommendation, we show that such recommendation system can recommend citations with good precision and recall. We also show that our recommendation system is very efficient and scalable.
         
        
            Keywords : 
citation analysis; recommender systems; RefSeer; citation recommendation system; citation-context based local recommendation; topic based global recommendation; Bibliographies; Complexity theory; Computational modeling; Context; Context modeling; Search engines; Training; Citation recommendation; RefSeer;
         
        
        
        
            Conference_Titel : 
Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
         
        
            Conference_Location : 
London
         
        
        
            DOI : 
10.1109/JCDL.2014.6970192