Literature DB >> 18694267

Building user research interest profiles through a MeSH indexer.

Dongming Zhang1, Nancy K Roderer, Lisa Song, Guang Huang.   

Abstract

In the information portal environment, user profiles helps librarians to better understand users' needs and build individualized services. We have used a locally developed UMLS-based MeSH indexer to process and extract MeSH concept terms from the contents of individuals' usage files on our library's portal system (MyWelch). The algorithm was also developed to refine these extracted terms and assign weights to individual terms. This process yielded a weighted MeSH term set for each individual user that can be considered to define the individual user's areas of research interest profile.

Mesh:

Year:  2007        PMID: 18694267

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  1 in total

1.  Creation of Individual Scientific Concept-Centered Semantic Maps Based on Automated Text-Mining Analysis of PubMed.

Authors:  Ekaterina Ilgisonis; Andrey Lisitsa; Valerya Kudryavtseva; Elena Ponomarenko
Journal:  Adv Bioinformatics       Date:  2018-07-26
  1 in total

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