A Study of Citations in Users Online Personal Collections


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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 USA

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Recommenders Systems
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Recommenders Systems
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Recommenders Systems
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Recommenders Systems
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Recommenders Systems
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Recommenders Systems



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Recommenders Systems



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Research Objectives

• Design Develop
• Personalized digital library services
• Understand
• Users research interests

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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?

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RefWorks
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Citation Collections

• RefWorks users
• 96 collections 30336 citations
• Two outliers 4000 and 7000

316
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Citation Types
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Citation Types
J
B
N
R
D
S
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Citation Types
W
J
B
R
N
D
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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.
Unique ID of identical citations in different
collections is key to building similarities
between users.
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External Resolvers

• DOI and OpenURL Query Interfaces
• Citation resolvers at crossref.org CR
• ISBN Query Interfaces
• Citation resolver at worldcat.org WC

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Validity

• A URL is valid if it leads to a citations
  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

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DOI Resolvability
0 0 0 0
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ISBN Resolvability
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URL Validity
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Resolvability Overlap
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Resolvability Summary
8540 47
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Limitations Concerns

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

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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 1920 2007

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Resources

• GroupLens Research Group Dept of CSEE
• University of Minnesota USA
• http//www.grouplens.org/
• MovieLens Recommender System
• http//www.movielens.org/
• TechLens Recommender System
• http//techlens.cs.umn.edu/

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Acknowledgements

• NSF grant IIS0534939
• RefWorks http//www.refworks.com/

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A Study of Citations in Users Online Personal
Collections

• Nishikant Kapoor
• Questions?