Using and Evaluating User Directed Summaries to Improve Information Access

  • Manuel J. Maña López
  • Manuel de Buenaga Rodríguez
  • José María Gómez Hidalgo
Conference paper

DOI: 10.1007/3-540-48155-9_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1696)
Cite this paper as:
Maña López M.J., de Buenaga Rodríguez M., Gómez Hidalgo J.M. (1999) Using and Evaluating User Directed Summaries to Improve Information Access. In: Abiteboul S., Vercoustre AM. (eds) Research and Advanced Technology for Digital Libraries. ECDL 1999. Lecture Notes in Computer Science, vol 1696. Springer, Berlin, Heidelberg

Abstract

Textual information available has grown so much as to make necessary to study new techniques that assist users in information access (IA). In this paper, we propose utilizing a user directed summarization system in an IA setting for helping users to decide about document relevance. The summaries are generated using a sentence extraction method that scores the sentences performing some heuristics employed successfully in previous works (keywords, title and location). User modeling is carried out exploiting user’s query to an IA system and expanding query terms using WordNet. We present an objective and systematic evaluation method oriented to measure the summary effectiveness in two IA significant tasks: ad hoc retrieval and relevance feedback. Results obtained prove our initial hypothesis, i.e., user adapted summaries are a useful tool assisting users in an IA context.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Manuel J. Maña López
    • 1
  • Manuel de Buenaga Rodríguez
    • 2
  • José María Gómez Hidalgo
    • 2
  1. 1.Departamento de Lenguajes y Sistemas InformáticosUniversidad de VigoOrenseSpain
  2. 2.Departamento de Inteligencia ArtificialUniversidad Europea de Madrid – CEESMadridSpain

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