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

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

Permalink

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

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

Date of Ingest

2013-02-03T06:10:31Z

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

Genre of Resource

Conference Poster

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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