Title: Framework for the development of a personalised recommender system with integrated web-mining functionalities

Authors: Mercedes Sanchez, Maria N. Moreno, Saddys Segrera, Vivian Lopez

Addresses: Department of Computer Science and Automatic, University of Salamanca, Plaza de los Caidos s/n, 37008, Salamanca, Spain. ' Department of Computer Science and Automatic, University of Salamanca, Plaza de los Caidos s/n, 37008, Salamanca, Spain. ' Department of Computer Science and Automatic, University of Salamanca, Plaza de los Caidos s/n, 37008, Salamanca, Spain. ' Department of Computer Science and Automatic, University of Salamanca, Plaza de los Caidos s/n, 37008, Salamanca, Spain

Abstract: A challenge for current e-commerce systems is to improve customer satisfaction by providing instruments for the personalised offer of products. Personalised recommender systems are endowed with intelligent mechanisms to search products that users are interested in. In this paper, we integrate software engineering and web mining techniques in the development of an e-commerce recommender system capable of predicting the preferences of its users and present them a personalised catalogue. A data mining model induced by a decision tree algorithm is used to predict clients| preferences. The system also has an internationalisation automatic mechanism that facilitates the visualisation of the user|s interface in different languages.

Keywords: personalised recommender systems; web mining; design frameworks; e-commerce; customer satisfaction; electronic commerce; software engineering; user preferences; personalised catalogues.

DOI: 10.1504/IJCAT.2008.022427

International Journal of Computer Applications in Technology, 2008 Vol.33 No.4, pp.312 - 319

Published online: 04 Jan 2009 *

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