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

Authors:
Mercedes Sanchez;Maria N. Moreno;Saddys Segrera;Vivian Lopez
Affiliations:
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
Venue:
International Journal of Computer Applications in Technology
Year:
2008

Citing 17
Cited 1

C4.5: programs for machine learning

C4.5: programs for machine learning
GroupLens: an open architecture for collaborative filtering of netnews

CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Pattern languages of program design

Pattern languages of program design
Recommending and evaluating choices in a virtual community of use

CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GroupLens: applying collaborative filtering to Usenet news

Communications of the ACM
Pattern-oriented software architecture: a system of patterns

Pattern-oriented software architecture: a system of patterns
Analysis patterns: reusable objects models

Analysis patterns: reusable objects models
Discovering data mining: from concept to implementation

Discovering data mining: from concept to implementation
A language and environment for architecture-based software development and evolution

Proceedings of the 21st international conference on Software engineering
The unified software development process

The unified software development process
Automatic personalization based on Web usage mining

Communications of the ACM
Item-based collaborative filtering recommendation algorithms

Proceedings of the 10th international conference on World Wide Web
The Design of Sites: Patterns, Principles, and Processes for Crafting a Customer-Centered Web Experience

The Design of Sites: Patterns, Principles, and Processes for Crafting a Customer-Centered Web Experience
E-Commerce Recommendation Applications

Data Mining and Knowledge Discovery
Mining customer product ratings for personalized marketing

Decision Support Systems - Special issue: Web data mining
An experimental comparative study of web mining methods for recommender systems

DIWED'06 Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering
Bridging patterns: An approach to bridge gaps between SE and HCI

Information and Software Technology

First impressions count: exploring the importance of website categorisation

International Journal of Computer Applications in Technology

Quantified Score

Hi-index	0.00

Visualization

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.