Sistema recomendador móvil para la contratación de servicios provisionales de proveedores y clientes

Abstract

The last decade has been marked by dramatic changes in the way cell phones have influenced culture. For some time, technology was the privilege of some, but this paradigm has been overcome thanks to the many changes that technology has undergone, such as massification, diversification, and internet access in places around the world. At present, the platforms have gained strength in all economic and commercial areas, within the labor area, specifically in hiring, there is a delay in relation to other areas, causing there to be few tools for this task or very limited tools, in limitad addition to the fact that the existing platforms are designed for the hiring of long-term personnel, leaving behind those workers who provide their services on a temporary basis. The present work proposes the development of a mobile platform composed of three components, a mobile application for clients where they can find different workers in various areas and professions as well as a worker recommender. Another mobile application for workers where they can view and interact with the different job offers sent from the client application. And finally a Web server that connects and stores all the information. The objective of this work is to develop a recommendation system for the contracting of provisional services from suppliers and clients, for which several tools were used, including Ionic framework for the development of mobile applications, GraphQL query language based on schemas, expressJs framework for the development of Apis and MongoDB non-relational database used for data storage and all based on the Mobile-D methodology and its phases. After the tests carried out, it was concluded that the mobile application helped increase job offers for the selected workers.