@inproceedings{he2011citation,
  abstract = {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 (<i>without</i> a bibliography) and our system automatically finds locations where citations are needed. We show that na&#239;ve 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.},
  acmid = {1935926},
  address = {New York, NY, USA},
  author = {He, Qi and Kifer, Daniel and Pei, Jian and Mitra, Prasenjit and Giles, C. Lee},
  booktitle = {Proceedings of the fourth ACM international conference on Web search and data mining},
  doi = {10.1145/1935826.1935926},
  interhash = {7e98aaf26a7ed6cc624249a3ab570d7a},
  intrahash = {bbd320f03d13c6cfff4b6f9e6b4630f7},
  isbn = {978-1-4503-0493-1},
  location = {Hong Kong, China},
  numpages = {10},
  pages = {755--764},
  publisher = {ACM},
  title = {Citation recommendation without author supervision},
  url = {http://doi.acm.org/10.1145/1935826.1935926},
  year = 2011
}