Citation recommendation without author supervision

Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
Automatic recommendation of citations for a manuscript is highly valuable for scholarly activities since it can substantially improve the efficiency and quality of literature search. The prior techniques placed a considerable burden on users, who were required to provide a representative bibliography or to mark passages where citations are needed. In this paper we present a system that considerably reduces this burden: a user simply inputs a query manuscript (without a bibliography) and our
more » ... em automatically finds locations where citations are needed. We show that the naïve approaches do not work well due to massive noise in the document corpus. We produce a successful approach by carefully examining the relevance between segments in a query manuscript and the representative segments extracted from a document corpus. An extensive empirical evaluation using the CiteSeerX data set shows that our approach is effective.
doi:10.1145/1935826.1935926 dblp:conf/wsdm/HeKPMG11 fatcat:v6fg7pttbbha5nhjs4ibjganmu