Informática con mención en Ciencias de la Computación

URI permanente para esta colecciónhttp://54.81.141.168/handle/123456789/51445

Explorar

Filtros

20211

Ajustes

Asesorsearch.filters.applied.operator.equals: search.filters.advisor.Núñez del Prado Cortez, MiguelTemasearch.filters.applied.operator.equals: search.filters.subject.Minería de datos

Resultados de Búsqueda

Mostrando 1 - 1 de 1
  • 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.