Can't see the forest for the trees? A citation recommendation system

Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)

Abstract

Scientists continue to find challenges in the ever increasing amount of information that has been produced on a world wide scale, during the last decades. When writing a paper, an author searches for the most relevant citations that started or were the foundation of a particular topic, which would very likely explain the thinking or algorithms that are employed. The search is usually done using specific keywords submitted to literature search engines such as Google Scholar and CiteSeer. However, finding relevant citations is distinctive from producing articles that are only topically similar to an author's proposal. In this paper, we address the problem of citation recommendation using a singular value decomposition approach. The models are trained and evaluated on the Citeseer digital library. The results of our experiments show that the proposed approach achieves significant success when compared with collaborative filtering methods on the citation recommendation task.

Original languageEnglish
Title of host publicationProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Pages111-114
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013 - Indianapolis, IN
Duration: 22 Jul 201326 Jul 2013

Other

Other13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
CityIndianapolis, IN
Period22/7/1326/7/13

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Keywords

  • Citation recommendation
  • Collaborative filtering
  • Information filtering
  • Singular value decomposition

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Caragea, C., Silvescu, A., Mitra, P., & Lee Giles, C. (2013). Can't see the forest for the trees? A citation recommendation system. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (pp. 111-114) https://doi.org/10.1145/2467696.2467743