Recommending scientific articles using citeULike
- Toine Bogers(corresponding author),
- Antal Van Den Bosch
- Aalborg University,
- Tilburg University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
Proceedings of the 2008 ACM Conference on Recommender SystemsOriginal language
EnglishPages from-to (Number of pages)
Pages 287-290 (4 pages)Publication milestones
- Published - 01/12/2008
Publication status
Published - 01/12/2008
ISBN (Print)
9781605580937Publication IDs
- Scopus: 63449085032
Host publication title
RecSys'08Abstract
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.
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Captures
190
Citations
149
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Related Event
Title
2008 2nd ACM International Conference on Recommender Systems, RecSys'08
Event type
ConferenceDate
23/10/2008 - 25/10/2008Location
LausanneSwitzerland