University of Illinois Urbana-Champaign

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

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

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https://hdl.handle.net/2142/42115

Description

Title
Can't see the forest for the trees? A citation recommendation system
Author(s)
  • Caragea, Cornelia
  • Silvescu, Adrian
  • Mitra, Prasenjit
  • Giles, C. Lee
Issue Date
2013-02
Keyword(s)
  • Citation Recommendation
  • Singular Value Decomposition
  • Collaborative Filtering
  • Bibliometrics and Scholarly Communication
  • Knowledge Management
  • Information Systems
  • Information Retrieval
  • Quantitative Data Analysis
Abstract
Scientists continue to find challenges in the ever increasing amount of information that has been produced on a world wide scale, for the last decades. Research ideas are generally developed based on high quality citations that, given today's very large collections of published articles, may be difficult to find. Specifically, 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. We address the problem of citation recommendation using Singular Value Decomposition (SVD). The models are trained and evaluated on the Citeseer digital library. The results of our experiments show that SVD achieves significant success when compared with collaborative filtering approaches on the citation recommendation task.
Publisher
iSchools
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/42115
DOI
https://doi.org/10.9776/13434
Copyright and License Information
Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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