Modelos de recomendación basados en conocimiento mediante el empleo de la computación con palabras

Abstract

The continuous development of new technologies has led to the accelerated growth of digital information. There is a growing need to create alternatives that create the restoration and organization of all the information that is provided to users in an efficient way. In the following work, a recommendation system based on knowledge is proposed through the use of word computing, in order to improve the problem-solving skills of programmers. The deductive method and exploration will be applied. Using this methodology, the different types of recommendation systems will be analyzed in order to develop a recommendation system from the information examined, as a result, a product recommendation model is released following the knowledge-based approach, which facilitates the construction of a user profile and DB, calculating the weight vector using linguistic quantifiers, in such a way that the results of the recommendation are obtained whose values are closer to the user profile.