Location-based Services Personalization Using Genetic Algorithms and Intelligent Agents
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2010, Vol 3, Issue 3
Abstract
This article analyzes possible solutions for improving Location-based Services (LBS) by using genetic algorithms and intelligent agents. The proposed solution enables identifying the points of interest based on the user profile and on the current context, and also generating routes in multi-modal and multi-operator public transport networks. The route generator process is based on a genetic algorithm that offers users the possibility to have a flexible restriction set for quantifying the importance degree of each associated optimization criterion. Therefore, we add an additional level of personalization over the exclusive use of fixed constraints set in the route identification process. The points of interest are represented by using intelligent agents and the communication between them is realized with the help of predefined ontologies.
Authors and Affiliations
Liviu Adrian Cotfas, Andreea Dioșteanu
Keywords
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