Explorando por Autor "Samamé Jimenez, Hilda Ana"

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    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.