Alatrista Salas, HugoNúñez del Prado Cortez, MiguelSamamé Jimenez, Hilda Ana2021-04-122021-04-1220212021-04-12http://hdl.handle.net/20.500.12404/18784Recommendation 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.enginfo:eu-repo/semantics/closedAccessMinería de datosProcesamiento secuencial (Computación)Recommender systems using temporal restricted sequential patternsinfo:eu-repo/semantics/masterThesishttp://purl.org/pe-repo/ocde/ford#1.02.01