Recommending scientific articles using citeULike

Toine Bogers, Antal Van Den Bosch

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

We describe the use of the social reference management website CiteULike for recommending scientific articles to users, based on their reference library. We test three different collaborative filtering algorithms, and find that user-based filtering performs best. A temporal analysis of the data indexed by CiteULike shows that it takes about two years for the cold-start problem to disappear and recommendation performance to improve.

Original languageEnglish
Title of host publicationRecSys'08 : Proceedings of the 2008 ACM Conference on Recommender Systems
Number of pages4
Publication date1 Dec 2008
Pages287-290
ISBN (Print)9781605580937
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event2008 2nd ACM International Conference on Recommender Systems, RecSys'08 - Lausanne, Switzerland
Duration: 23 Oct 200825 Oct 2008

Conference

Conference2008 2nd ACM International Conference on Recommender Systems, RecSys'08
Country/TerritorySwitzerland
CityLausanne
Period23/10/200825/10/2008

Keywords

  • Reference management
  • Collaborative filtering
  • Recommendation systems
  • Cold-start problem
  • Temporal analysis

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