Red neuronal convolucional con extracción de características multi-columna para clasificación de imágenes

Abstract

Due to the immense amount of information available on the Internet, it causes users to feel overwhelmed with so much information, making it difficult to search for products and/or services that suit the tastes and needs of each user. For this reason the development of intelligent tools has become indispensable as are the Recommendation Systems, where its main objective is to help users find information of products and/or services in a better way filtering all the available information thus achieving a better use of it. In the present research work a Hybrid Recommendation Algorithm is designed and developed to create a list of recommended items (restaurants) for users (consumers), merging the