Tang J, Zhang J, "A Discriminative Approach to Topic-Based Citation Recommendation " Advances in Knowledge Discovery and Data Mining, Proceedings, Lecture Notes in AI Vol:5476, p.572-579, 2009

[Eugene Garfield]

TITLE : A Discriminative Approach to Topic-Based Citation Recommendation 

Author(s): Tang J (Tang, Jie)1, Zhang J (Zhang, Jing)1  
Editor(s): Theeramunkong T; Kijsirikul B; Cercone N; Ho TB  

Source: ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS   Book 
Series: Lecture Notes in Artificial Intelligence    Volume: 5476    Pages: 
572-579    Published: 2009    

Times Cited: 0     References: 12     Citation Map      
Conference Information: 13th Pacific-Asia Conference on Knowledge and Data 
Mining
Bangkok, THAILAND, APR 27-30, 2009
Sirindhorn Int Inst Technol; Thammasat Univ; Chulalonkorn Univ; Asian Inst 
Technol; Natl Elect & Comp Technol Ctr; Thailand Convent & Exhibit Bureau; 
AF Off Sci Res, Asian Off Aerosp Res & Dev  

Abstract: In this paper, we present a study of a novel problem, i.e. topic-
based citation recommendation, which involves recommending papers to be 
referred to. Traditionally, this problem is usually treated as an 
engineering issue and dealt with using heuristics. This paper gives a 
formalization of topic-based citation recommendation and proposes a 
discriminative approach to this problem. Specifically, it proposes a two-
layer Restricted Boltzmann Machine model, called RBM-CS, which can discover 
topic distributions of paper content and citation relationship 
simultaneously. Experimental results demonstrate that RBM-CS can 
significantly outperform baseline methods for citation recommendation. 

Document Type: Proceedings Paper  
Language: English  

Reprint Address: Tang, J (reprint author), Tsinghua Univ, Dept Comp Sci & 
Technol, Beijing 100084, Peoples R China  
Addresses: 
1. Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China  
Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, 
GERMANY  
IDS Number: BKN07  
ISSN: 0302-9743  
ISBN: 978-3-642-01306-5  

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