The challenge of this project, co-financed by the Ministry of Energy, Tourism and Digital Agenda. (Num. TSI-100105-2017-9), has been to create a student-machine interaction that had into account the variety of educational resoruces, created by the teacher and the student´s interests and his/her intellectual abilities?
This R & D project aims to develop an intelligent platform that, through BigData, Machine Learning and Natural Language Processing techniques, can adapt to the specific needs of each student.
In fact, omnichannel marketing aims to stop talking about user-clients to start talking about people-clients, a person who connec with our company at many different times through different channels and through different devices."
State of the art enhancements
A recommendation system based on Big Data problems and applying Automatic Learning techniques to offer a personalized service to users, based on their browsing history. It consists of different stages:
- Data collection and storage
- Preprocessing of the data
- Learning and obtaining the model
- Implementation of the learned model
The project has been co-financed by the Ministry of Energy, Tourism and Digital Agenda.