Thesis Recomendador de farmacias para Dr.Pastillo
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Date
2015-11
Authors
Journal Title
Journal ISSN
Volume Title
Program
DEPARTAMENTO DE INFORMÁTICA. INGENIERÍA CIVIL INFORMÁTICA
Campus
Campus Santiago San Joaquín
Abstract
Dr.Pastillo es una plataforma social basada en crowdsourcing que permite compartir, cotizar y comparar los precios de medicamentos en distintos
locales farmacéuticos. Actualmente, esta plataforma presenta un claro problema con sus usuarios, y es que éstos utilizan la plataforma una vez y nunca
más vuelven.
Se estima que uno de los factores que inciden fuertemente en que los usuarios no se mantengan activos en la plataforma, es que al momento de recomendar locales farmacéuticos, no se toman en cuenta las variables que son importantes para el usuario al momento de tomar la decisi´on de donde
comprar su medicamento.
Es por esto que se analizará cuales son las variables a considerar al momento de recomendar locales, y se propondrá e implementar a un modelo para un recomendador de farmacias que se adecue a las necesidades del usuario en la plataforma mencionada.
Dr.Pastillo is an online social platform based in crowdsourcing, which allows users to share, quote and compare different medicament prices in different drugstores. This platform has a big issue with it’s users, and it is that they use the platform once and then never come back. We believe that one of the factors that has strong impacts in that the users do not return to the platform, is that at the moment of suggesting drugstores to go shopping, there are some variables that are not considered which are important to the final user. This is why we will analize which are those variables to consider when recommending drugstores, and we will propose and implement a model for a drugstore recommender system that fits the necessities of the user in the platform above.
Dr.Pastillo is an online social platform based in crowdsourcing, which allows users to share, quote and compare different medicament prices in different drugstores. This platform has a big issue with it’s users, and it is that they use the platform once and then never come back. We believe that one of the factors that has strong impacts in that the users do not return to the platform, is that at the moment of suggesting drugstores to go shopping, there are some variables that are not considered which are important to the final user. This is why we will analize which are those variables to consider when recommending drugstores, and we will propose and implement a model for a drugstore recommender system that fits the necessities of the user in the platform above.
Description
Keywords
Modelo de producción, Competencia económica, Toma de decisiones