Context-aware citation recommendation

Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, Lee Giles

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

168 Citations (Scopus)

Abstract

When you write papers, how many times do you want to make some citations at a place but you are not sure which papers to cite? Do you wish to have a recommendation system which can recommend a small number of good candidates for every place that you want to make some citations? In this paper, we present our initiative of building a context-aware citation recommendation system. High quality citation recommendation is challenging: not only should the citations recommended be relevant to the paper under composition, but also should match the local contexts of the places citations are made. Moreover, it is far from trivial to model how the topic of the whole paper and the contexts of the citation places should affect the selection and ranking of citations. To tackle the problem, we develop a context-aware approach. The core idea is to design a novel non-parametric probabilistic model which can measure the context-based relevance between a citation context and a document. Our approach can recommend citations for a context effectively. Moreover, it can recommend a set of citations for a paper with high quality. We implement a prototype system in CiteSeerX. An extensive empirical evaluation in the CiteSeerX digital library against many baselines demonstrates the effectiveness and the scalability of our approach.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on World Wide Web, WWW '10
Pages421-430
Number of pages10
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
Duration: 26 Apr 201030 Apr 2010

Other

Other19th International World Wide Web Conference, WWW2010
CountryUnited States
CityRaleigh, NC
Period26/4/1030/4/10

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Recommender systems
Digital libraries
Scalability
Chemical analysis
Statistical Models

Keywords

  • bibliometrics
  • context
  • gleason's theorem
  • recommender systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

He, Q., Pei, J., Kifer, D., Mitra, P., & Giles, L. (2010). Context-aware citation recommendation. In Proceedings of the 19th International Conference on World Wide Web, WWW '10 (pp. 421-430) https://doi.org/10.1145/1772690.1772734

Context-aware citation recommendation. / He, Qi; Pei, Jian; Kifer, Daniel; Mitra, Prasenjit; Giles, Lee.

Proceedings of the 19th International Conference on World Wide Web, WWW '10. 2010. p. 421-430.

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

He, Q, Pei, J, Kifer, D, Mitra, P & Giles, L 2010, Context-aware citation recommendation. in Proceedings of the 19th International Conference on World Wide Web, WWW '10. pp. 421-430, 19th International World Wide Web Conference, WWW2010, Raleigh, NC, United States, 26/4/10. https://doi.org/10.1145/1772690.1772734
He Q, Pei J, Kifer D, Mitra P, Giles L. Context-aware citation recommendation. In Proceedings of the 19th International Conference on World Wide Web, WWW '10. 2010. p. 421-430 https://doi.org/10.1145/1772690.1772734
He, Qi ; Pei, Jian ; Kifer, Daniel ; Mitra, Prasenjit ; Giles, Lee. / Context-aware citation recommendation. Proceedings of the 19th International Conference on World Wide Web, WWW '10. 2010. pp. 421-430
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