research-article

Context-aware citation recommendation

Authors:

Prasenjit Mitra,

Lee GilesAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 421 - 430

https://doi.org/10.1145/1772690.1772734

Published: 26 April 2010 Publication History

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.

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Cited By

Jokar NEsfandiari MAghamirzadeh SHatami H(2024)Paper Recommender System Using Big Data ToolsOptimization Algorithms - Classics and Recent Advances10.5772/intechopen.109136Online publication date: 10-Jul-2024
https://doi.org/10.5772/intechopen.109136
Aristotelis KAntonis SKonstantinos DStefanos O(2024)Sentiment Dimensions and Intentions in Scientific Analysis: Multilevel Classification in Text and CitationsElectronics10.3390/electronics1309175313:9(1753)Online publication date: 2-May-2024
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Dutta DPal DRoy DMitra MKlein MBen-David AJäschke RKelly M(2024)Bibliography Counselor: A Citation Recommendation ToolProceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00051(260-262)Online publication date: 26-Jun-2024
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Index Terms

Context-aware citation recommendation
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Information

Published In

cover image ACM Other conferences

WWW '10: Proceedings of the 19th international conference on World wide web

April 2010

1407 pages

ISBN:9781605587998

DOI:10.1145/1772690

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

Copyright © 2010 International World Wide Web Conference Committee (IW3C2).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2010

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WWW '10

WWW '10: The 19th International World Wide Web Conference

April 26 - 30, 2010

North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Jokar NEsfandiari MAghamirzadeh SHatami H(2024)Paper Recommender System Using Big Data ToolsOptimization Algorithms - Classics and Recent Advances10.5772/intechopen.109136Online publication date: 10-Jul-2024
https://doi.org/10.5772/intechopen.109136
Aristotelis KAntonis SKonstantinos DStefanos O(2024)Sentiment Dimensions and Intentions in Scientific Analysis: Multilevel Classification in Text and CitationsElectronics10.3390/electronics1309175313:9(1753)Online publication date: 2-May-2024
https://doi.org/10.3390/electronics13091753
Dutta DPal DRoy DMitra MKlein MBen-David AJäschke RKelly M(2024)Bibliography Counselor: A Citation Recommendation ToolProceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00051(260-262)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/JCDL57899.2023.00051
Buscaldi DDessí DMotta EMurgia MOsborne FReforgiato Recupero D(2024)Citation prediction by leveraging transformers and natural language processing heuristicsInformation Processing & Management10.1016/j.ipm.2023.10358361:1(103583)Online publication date: Jan-2024
https://doi.org/10.1016/j.ipm.2023.103583
Yin MWang BLing C(2024)A fast local citation recommendation algorithm scalable to multi-topicsExpert Systems with Applications10.1016/j.eswa.2023.122031238(122031)Online publication date: Mar-2024
https://doi.org/10.1016/j.eswa.2023.122031
Zhang XSong SXiong Y(2024)Personalized global citation recommendation with diversification awarenessScientometrics10.1007/s11192-024-05057-5129:7(3625-3657)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11192-024-05057-5
Wang JBansal KArapakis IGe XJose J(2024)Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language ModelsAdvances in Information Retrieval10.1007/978-3-031-56027-9_19(310-324)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-3-031-56027-9_19
Lee LLiang Y(2023)A Systematic Review of Citation Recommendation Over the Past Two DecadesInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.32407119:1(1-22)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.4018/IJSWIS.324071
Lee BDowney DLo KWeld D(2023)LIMEADE: From AI Explanations to Advice TakingACM Transactions on Interactive Intelligent Systems10.1145/358934513:4(1-29)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3589345
Yuan MWan JWang D(2023)CRM-SBKG: Effective Citation Recommendation by Siamese BERT and Knowledge Graph2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)10.1109/EEBDA56825.2023.10090832(909-914)Online publication date: 24-Feb-2023
https://doi.org/10.1109/EEBDA56825.2023.10090832
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