Evaluation of the appeal of website design to a target group with the aid of artificial neural network software

This paper presents the method of using an artificial neural network to evaluate the appeal of website design and layout to members of a target group, with the design being defined according to predefined parameters describing section properties. We have trained the neural network with a training set based on the survey participants’ website design evaluations. For the purpose of project implementation, we have utilized an open source JavaScript library for neural network simulation and our own implementation of a dynamic website preview generator. The paper presents a derivative application that uses the trained neural network to generate suggested website designs and their feature parameters that are likely to be appealing to the members of the target group matching the survey participants.