Determinación de grupos de usuarios de bibliotecas digitales mediante el análisis de ficheros log

• Juan-Antonio Martínez-Comeche ^[1]
  1. [1] Universidad Complutense de Madrid

     Universidad Complutense de Madrid

     Madrid, España

     
• Localización: Revista española de documentación científica, ISSN-e 1988-4621, ISSN 0210-0614, Vol. 40, Nº 3 (julio-septiembre 2017), 2017
• Idioma: español
• DOI: 10.3989/redc.2017.3.1420
• Títulos paralelos:
  • Clustering of users of digital libraries through log file analysis
• Enlaces
  • Texto completo
• Resumen
  • español

    En este estudio se analiza el modo en que los usuarios realizan tareas de búsqueda y recuperación de información mediante consulta en la Biblioteca Digital Hispánica, distinguiendo grupos de usuarios en función de su distinto comportamiento informacional. Para ello se emplean los ficheros log recopilados por el servidor durante un año y se cotejan distintos algoritmos de agrupamiento. Se observa que el algoritmo k-means es un procedimiento de agrupamiento adecuado al análisis de extensos ficheros log de consultas en bibliotecas digitales. En el caso de la Biblioteca Digital Hispánica se distinguen tres grupos de usuarios cuyo comportamiento informacional distintivo se describe.

  • English

    This study analyzes how users perform information retrieval tasks when introducing queries to the Hispanic Digital Library. Clusters of users are differentiated based on their distinct information behavior. The study used the log files collected by the server over a year and different possible clustering algorithms are compared. The k-means algorithm is found to be a suitable clustering method for the analysis of large log files from digital libraries. In the case of the Hispanic Digital Library the results show three clusters of users and the characteristic information behavior of each group is described.

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