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Title: Recommender systems using temporal restricted sequential patterns
Advisor(s): Alatrista Salas, Hugo; Núñez del Prado Cortez, Miguel
OCDE field: http://purl.org/pe-repo/ocde/ford#1.02.01
Issue Date: 12-Apr-2021
Institution: Pontificia Universidad Católica del Perú
Abstract: 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.
Discipline: Informática con mención en Ciencias de la Computación
Grade or title grantor: Pontificia Universidad Católica del Perú. Escuela de Posgrado
Grade or title: Maestro en Informática con mención en Ciencias de la Computación
Juror: Hirsh Martinez, Layla; Alatrista Salas, Hugo; Maldonado Cadenillas, Rodrigo Ricardo
Register date: 12-Apr-2021; 12-Apr-2021



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