Publications & Research

I show you another strategy to generate boxes in the Zappos dataset, in an automated way, using OpenCV and a simple Python script. You can use the resulting data in Yolo-like neural networks.

Here, you are going to discover a simple solution that you can apply to any system with a SQL Server and only a little code, to create and compare profiles.

This work shows the development of an entire environment to connect different types of intelligent agents to the Mozilla browser and compatible ones. The agent is not developed here, but instead an interface is presented in its place for testing purposes in order to glimpse some of the different agents that can be developed. In particular, all the necessary components are provided so that an agent can obtain information from an e-commerce site to then make use of it in the form of suggestions and profile construction. The e-commerce site chosen for this purpose is Mercado Libre Argentina, due to its popularity and diversity of articles.

This work focuses on the study of a particular technique for its use in the generation of user profiles in the domains of information retrieval on the Web, e-commerce and a personal agenda; this technique is known as genetic algorithms, which basically consists of the application of concepts such as evolution, natural selection, crossover, mutation as well as any other type of transformation typical of the field of genetics for solving problems in the computational field.