@misc{10481/84826,
year = {2023},
month = {6},
url = {https://hdl.handle.net/10481/84826},
abstract = {Over the last few years, the ability of recommender systems to help us in different environments
has been increasing. Several systems try to offer solutions in highly complex environments such as nutrition,
housing, or traveling. In this paper, we present a recommendation system capable of using different
input sources (data and knowledge-based) and producing a complex structured output. We have used an
evolutionary approach to combine several unitary items within a flexible structure and have built an initial
set of complex configurable items. Then, a content-based approach refines (in terms of preferences) these
candidates to offer a final recommendation.We conclude with the application of this approach to the healthy
diet recommendation problem, addressing its strengths in this domain.},
abstract = {Over the last few years, the ability of recommender systems to help us in different environments
has been increasing. Several systems try to offer solutions in highly complex environments such as nutrition,
housing, or traveling. In this paper, we present a recommendation system capable of using different
input sources (data and knowledge-based) and producing a complex structured output. We have used an
evolutionary approach to combine several unitary items within a flexible structure and have built an initial
set of complex configurable items. Then, a content-based approach refines (in terms of preferences) these
candidates to offer a final recommendation.We conclude with the application of this approach to the healthy
diet recommendation problem, addressing its strengths in this domain},
organization = {European Union (Stance4Health) under Grant 816303},
organization = {Ministerio de Ciencia e
Innovación under Grant PID2021-123960OB-I00},
organization = {MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia estatal de
Investigacion)/10.13039/501100011033},
organization = {ERDF (European Regional Development Fund)},
organization = {A way of making Europe.
And in part under Grant TED2021-129402B-C21 funded by MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia estatal de
Investigacion)/10.13039/501100011033},
organization = {European Union NextGenerationEU/PRTR (Plan de Recuperación,
Transformación y Resiliencia)},
organization = {‘Program of Information and Communication technologies’’ at the University of Granada},
publisher = {IEEE Xplore},
keywords = {Applied computing},
keywords = {Complex recommendation systems},
keywords = {Information retrieval},
keywords = {Recommendation systems},
title = {Evolutionary Approach for Building, Exploring and Recommending Complex Items With Application in Nutritional Interventions},
doi = {10.1109/ACCESS.2023.3290918},
author = {Ortiz Viso, Bartolomé and Morales Garzón, Andrea and Martín Bautista, María José and Vila Miranda, María Amparo},
}