Title
Leveraging Content and Connections for Scientific Article Recommendation in Social Computing Contexts.
Abstract
Rapid proliferation of information technologies has generated a great volume of information that makes scientific information searching more challenging. Personalized recommendation is a widely used technique to help researchers find relevant information. Researchers involved in a social computing context generate abundant content and form heterogeneous connections. Existing article recommendation...
Year
DOI
Venue
2014
10.1093/comjnl/bxt086
The Computer Journal
Keywords
Field
DocType
article recommendation,social computing application,semantic content expansion,research social network
World Wide Web,Computer science,Social computing
Journal
Volume
Issue
ISSN
57
9
0010-4620
Citations 
PageRank 
References 
9
0.44
0
Authors
4
Name
Order
Citations
PageRank
Jianshan Sun119217.65
Jian Ma21662103.00
Zhiying Liu3324.85
Yajun Miao490.44