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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/1208

Title: Evaluating the informative quality of web documents using fuzzy linguistic techniques
Authors: Peis, E.
Herrera-Viedma, E.
Anaya, K.
Herrera, J.C.
Issue Date: 2003
Abstract: Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy linguistic evaluation method of Web documents is presented to generate recommendations. Given an XML document type (e.g. scientific article), we consider that its components are not equally informative. This is indicated by defining linguistic importance attributes to the more meaningful elements of the XML Schema designed for Web documents. The evaluation method generates linguistic recommendations according to linguistic evaluation judgements provided by different recommenders on meaningful elements.
Sponsorship: Departamento de Biblioteconomía y Documentación. Departamento de Ciencias de la Computación e Inteligencia Artificial. Universidad de Granada.
Publisher: Third Conference of the European Society for Fuzzy Logic and Technology
Keywords: Quality evaluation
Recommender system
Fuzzy linguistic modelling
URI: http://hdl.handle.net/10481/1208
Rights : Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License
Citation: Herrera-Viedma, E.; Peis, E.; Herrera, J.C.; Anaya, K. "Evaluating the Informative Quality of Web Documents Using Fuzzy Linguistic Techniques". In: Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology, 2003, pp. 32-37.
Appears in Collections:DBD - Comunicaciones Congresos, Conferencias, ...
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