The objective of this seminar is two-fold: first, to provide the student with basic notions about recommender systems, and to get to know about uses of AI techniques for solving real-world applications in the industry.
Person in charge
Jerónimo Hernández González (
Generic Technical Competences
CG3 - Capacity for modeling, calculation, simulation, development and implementation in technology and company engineering centers, particularly in research, development and innovation in all areas related to Artificial Intelligence.
Technical Competences of each Specialization
CEA7 - Capability to understand the problems, and the solutions to problems in the professional practice of Artificial Intelligence application in business and industry environment.
CEP3 - Capacity for applying Artificial Intelligence techniques in technological and industrial environments to improve quality and productivity.
CEP5 - Capability to design new tools and new techniques of Artificial Intelligence in professional practice.
CT4 - Capacity for managing the acquisition, the structuring, analysis and visualization of data and information in the field of specialisation, and for critically assessing the results of this management.
Analisis y sintesis
CT7 - Capability to analyze and solve complex technical problems.
Understand the general behaviour of the recommender systems
Understanding how recommender systems work to address the big amout of existing data.
Understanding the potential applications of recommender systems in the industry
Understanding the potential applications of AI in the business environment
During this seminar, different methodologies will be followed. In a master class, basic theoretical concepts will be explained. A guided lab session will be used for putting those concepts in practice. Finally, a set of real case studies in business will be presented.
The evaluation of the seminar has three parts: Firstly, a report on a potentially novel use of artificial intelligence technologies (30%); secondly, a practical notebook (30%); and, finally, a summary of the AI technologies presented by the companies (40%).