Personalized search by using eye tracking to better identifying the user query

This work is aimed at automatically creating a user’s interest model on the domain of the Internet shops. In particular, it will be the discount portal, and the internet shop This site contains products and their description. When the user looks through the products, our method will create a user interest model and thus reveal the user’s interest. In process of creating a model, we use data from a view that tells us what and how the user has been tracking, and accordingly we calculate its relationship to that term.
User tracking allows us to create a model of interest that reflects user interest more accurately with viewing technology. We’re focusing on enriching your current interest tracking of eye tracking metrics. Subsequently, we will try to predict his interest in the product from the collected user view information. We verify the correctness of the model by a suitable experiment in the user experience laboratory at our faculty.