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Building user research interest profiles through a MeSH indexer.
Dongming Zhang1, Nancy K Roderer, Lisa Song
1Welch Medical Library, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
Summary
Librarians can create user profiles by extracting and weighting Medical Subject Headings (MeSH) terms from user activity. This helps tailor library services to individual research interests.
Area of Science:
- Library and Information Science
- Biomedical Informatics
Background:
- Understanding user needs is crucial for providing tailored services in information portals.
- User profiles can enhance library services by reflecting individual user requirements.
Purpose of the Study:
- To develop a method for automatically generating user profiles based on research interests.
- To leverage user activity data within a library portal for profile creation.
Main Methods:
- Utilized a locally developed Unified Medical Language System (UMLS)-based MeSH indexer.
- Processed individual usage files from the MyWelch library portal.
- Developed an algorithm to refine and assign weights to extracted MeSH concept terms.
Main Results:
- Generated a weighted MeSH term set for each individual user.
- These weighted terms effectively define users' research interest profiles.
Conclusions:
- Weighted MeSH term sets derived from user activity provide a robust method for creating user profiles.
- This approach enables libraries to better understand and serve users' specific research needs.
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