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A Study of Citations in Users’ Online Personal Collections

A Study of Citations in Users’ Online Personal Collections. Nishikant Kapoor John T Butler, Sean M McNee, Gary C Fouty James A Stemper, Joseph A Konstan GroupLens Research Group and University Libraries University of Minnesota. Recommenders Systems. Recommenders Systems.

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A Study of Citations in Users’ Online Personal Collections

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  1. A Study of Citations in Users’ Online Personal Collections Nishikant Kapoor John T Butler, Sean M McNee, Gary C Fouty James A Stemper, Joseph A Konstan GroupLens Research Group and University Libraries University of Minnesota

  2. Recommenders Systems

  3. Recommenders Systems

  4. Recommenders Systems

  5. Recommenders Systems

  6. Recommenders Systems

  7. Recommenders Systems

  8. Recommenders Systems

  9. Motivation • Citation web data can be used to effectively generate recommendations for the technical paper • “On the Recommending of Citations for Research Papers”, McNee, et al. (CSCW 2002) • “Enhancing Digital Libraries with TechLens+”, Torres, et al. (JCDL 2004)

  10. Research Objectives • Design & Develop • Personalized digital library services • Understand • Users’ research interests

  11. Research Questions Can we utilize users’ personal citation collections to offer them personalized DL services? • Can citations in users’ personal collections be resolved to unique identifiers? • How many of those do actually resolve to a unique online identifier? • How many of the resolved citations do actually lead to an online source for their content or metadata?

  12. RefWorks

  13. Citation Collections • RefWorks users • 96 collections, 30,336 citations • Two outliers (4000+ and 7000+) 316

  14. Citation Types

  15. User Profile • Users’ personal citation collections • Represent users’ profile • Research interests, Research collaborations • Are single collections • Related, Diverse • Are multiple collections • Task based, Workgroup based

  16. Citation Types J B R N D S

  17. Citation Types W J B R N D

  18. Resolvability • A citation is resolvable if it has • A valid unique ID : DOI for articles, ISBN for books • Enough information to resolve it to a unique ID All citations that can be represented using a valid unique ID, are potentially resolvable.

  19. External Resolvers • DOI and OpenURL Query Interfaces • Citation resolvers at crossref.org (CR) • ISBN Query Interfaces • Citation resolver at worldcat.org (WC)

  20. Validity • A URL is valid if it leads to a citation’s source online • URLs : URL may or may not be unique • Validated existence of URL, not its accuracy • Did not attempt to retrieve ID for citation

  21. DOI Resolvability 0 0 0 0

  22. ISBN Resolvability

  23. URL Validity

  24. Resolvability Overlap

  25. Resolvability Summary 8,540 (47%)

  26. Limitations & Concerns • Very limited resolvers were used • Additional resolvers such as the Citation Matcher from PubMed could enhance resolvability further • Dataset too small and diverse • Difficult to find correlation among users • CF based services work better with larger dataset • Privacy concerns • Users want (a) control (b) anonymity

  27. Future Work • Survey - Users’ willingness to share their personal collections • Understand how truly do users’ personal collections represent their profile? • Prototype of CF based DL services http://techlens.cs.umn.edu/ RecSys, Minneapolis, Oct 19-20, 2007

  28. Acknowledgements • NSF grant IIS-0534939 • RefWorks (http://www.refworks.com/)

  29. A Study of Citations in Users’ Online Personal Collections Nishikant Kapoor Questions?

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