Los modelos clásicos de recuperación de información y su vigencia

Martínez Comeche, Juan Antonio Los modelos clásicos de recuperación de información y su vigencia., 2006 . In Tercer Seminario Hispano-Mexicano de investigación en Bibliotecología y Documentación, UNAM, Centro Universitario de Investigaciones Bibliotecológicas, 29-31 March 2006. [Conference paper]

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English abstract

Principles and characteristics of the classical models of information retrieval, and their simultaneous employment by search engines on the internet.

Spanish abstract

Principios y características de los modelos clásicos de recuperación de información y su empleo simultáneo por los motores de búsqueda en internet.

Item type: Conference paper
Keywords: information retrieval, recuperación de información, boolean model, modelo booleano, probabilistic model, modelo probabilístico, vectorial model, modelo vectorial
Subjects: L. Information technology and library technology > LM. Automatic text retrieval.
L. Information technology and library technology > LS. Search engines.
Depositing user: Juan Antonio Martínez Comeche
Date deposited: 19 Jun 2007
Last modified: 02 Oct 2014 12:07
URI: http://hdl.handle.net/10760/9662

References

BAEZA-YATES, R.; RIBEIRO-NETO, B. (1999) Modern information retrieval. New York: ACM, 1999.

CONNOLLY, D. (2000). A little history of the World Wide Web. http://www.w3.org/History.html

CROFT, W. B.; HARPER, D. J. (1979). Using probabilistic models of document retrieval without relevance information. Journal of documentation, 1979, 35 4):285-295.

DIGITAL LIBRARIES INITIATIVE (2006). http://dli.grainger.uiuc.edu/national/spanish/index.html

ELLIS, D. (1996) Progress and problems in information retrieval. London: LA, 1996.

GIL, P. How big is the internet? (2005). http://netforbeginners.about.com/cs/technoglossary/f/FAQ3.htm

GULLI, A.; SIGNORINI, A. (2006). The indexable web is more than 11.5 billion pages. http://www.cs.uiowa.edu/~asignori/web-size/

INTERNET Systems Consortium (2006). Internet domain survey host count. http://www.isc.org/index.pl?/ops/ds/

INTERNET World Stats (2006). Internet growth statistics. http://www.internetworldstats.com/emarketing.htm.

KORFHAGE, R. (1997) Information storage and retrieval. New York: John Wiley & Sons, 1997.

MEADOW, Ch. T.; BOYCE, B. R.; KRAFT, D. H. Text information retrieval systems. Toronto: Academic Press, 1992.

MOYA ANEGÓN, F. de. (1995) Los sistemas integrados de gestión bibliotecaria: estructuras de datos y recuperación de información. Madrid: ANABAD, 1995.

READINGS in information retrieval (1997). (eds.) Sparck Jones, K.; Willett, P. San Francisco: Morgan Kaufmann, 1997.

RIJSBERGEN, C. J. van. (1979) Information retrieval. London: Butterworths, 1979. http://www.dcs.gla.ac.uk/Keith/Preface.html

ROBERTSON, S. E. (1977) The probability ranking principle in IR. Journal of Documentation, 1977, 33(4):294-304.

SALTON, G.; McGILL, M.J. (1983) Introduction to modern information retrieval. New York: McGraw-Hill, 1983.

SALTON, G.; WONG, A.; YANG, C. S. A vector space model for automatic indexing. Communications of the ACM, 1975, 18(11): 613-620.

SPARCK JONES, K. (1979) Search term relevance weighting given little relevance information. Journal of documentation, 1979, 35(1): 30-48.


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