Tesis y Trabajos de Investigación PUCP

URI permanente para esta comunidadhttp://54.81.141.168/handle/123456789/6

El Repositorio Digital de Tesis y Trabajos de Investigación PUCP aporta al Repositorio Institucional con todos sus registros, organizados por grado: Doctorado, Maestría, Licenciatura y Bachillerato. Se actualiza permanentemente con las nuevas tesis y trabajos de investigación sustentados y autorizados, así como también con los que que fueron sustentados años atrás.
Ingresa a su web: Repositorio Digital de Tesis y Trabajos de Investigación PUCP

Explorar

Filtros

20212

Ajustes

Asesorsearch.filters.applied.operator.equals: search.filters.advisor.Núñez del Prado Cortez, Miguel

Resultados de búsqueda

Mostrando 1 - 2 de 2
  • No hay miniatura disponible
    ÍtemTexto completo enlazado
    Recommender systems using temporal restricted sequential patterns
    (Pontificia Universidad Católica del Perú, 2021-04-12) Samamé Jimenez, Hilda Ana; Alatrista Salas, Hugo; Núñez del Prado Cortez, Miguel
    Recommendation systems are algorithms for suggesting relevant items to users. Generally, the recommendations are expressed in what will be recommended and a value representing the recommendation's relevance. However, forecasting if the user will buy the recommended item in the next day, week, or month is crucial for companies. The present study describes a process to suggest items from sequential patterns under temporal restrictions.
  • No hay miniatura disponible
    ÍtemTexto completo enlazado
    Measuring the attractiveness of tourist spots through credit and debit card transactions
    (Pontificia Universidad Católica del Perú, 2021-03-16) Rojas Bustamante, Leibnitz Pavel; Alatrista Salas, Hugo; Núñez del Prado Cortez, Miguel
    Tourism is an essential economic activity for some regions and countries that has been increasing its value for governments and private companies in the last years. Some researches, found in state of the art, have demonstrated the importance of knowing how tourists behave. Furthermore, several approaches have been performed to identify tourist behavior in different places worldwide using different data sets. Thus, this study’s main purpose is to identify domestic tourists using bank card transactions and define an attractiveness function for every region in the country through the Huff model. Additionally, some communities will be generated for describing tourism mobility. The results obtained in the present work reveal a new way of defining domestic tourists and a function to estimate the attractiveness level for departments in Peru.