An Interactive Recommendation System for Decision Making Based on the Characterization of Cognitive Tasks

An Interactive Recommendation System for Decision Making Based on the Characterization of Cognitive Tasks

The decision-making process can be complex and underestimated, where mismanagement could lead to poor results and excessive spending. This situation appears in highly complex multi-criteria problems such as the project portfolio selection (PPS) problem. Therefore, a recommender system becomes crucia...

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Bibliographic Details
Main Authors: Teodoro Macias-Escobar, Laura Cruz-Reyes, César Medina-Trejo, Claudia Gómez-Santillán, Nelson Rangel-Valdez, Héctor Fraire-Huacuja
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematical and Computational Applications
Subjects:
decision making process
cognitive tasks
recommender system
project portfolio selection problem
usability evaluation
Online Access:https://www.mdpi.com/2297-8747/26/2/35

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