RECOMMENDATION SYSTEMS FOR DECISION MAKING. STATE OF THE ART
SISTEMAS DE RECOMENDACIÓN PARA LA TOMA DE DECISIONES
DOI:
https://doi.org/10.47230/unesum-ciencias.v6.n1.2022.289Keywords:
Recommender Systems; state of the art; collaborative filtering; packed in content; knowledge based.Abstract
Recommender Systems (RS) are information filtering techniques that were born with the aim of facilitating or assisting the user in making a decision. The main objective of these systems is to solve information overload problems, providing the user with synthesized information that can be used in decision making. The techniques used to carry out the recommendations differ from each other significantly, both in the information required and in the processes necessary to carry out these recommendations. This research aims to conduct a study on the current state of the art of SR. The study revealed that although the most widely used and well-known SRs are collaborative and content-based, they are not the most appropriate in all situations.
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