Recommender systems using temporal restricted sequential patterns

Thumbnail Image

Date

2021-04-12

Journal Title

Journal ISSN

Volume Title

Publisher

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.

Description

Keywords

Minería de datos, Procesamiento secuencial (Computación)

Citation

Endorsement

Review

Supplemented By

Referenced By