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A Hybrid Recommender System for HCI Design Pattern Recommendations

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A Hybrid Recommender System for HCI Design Pattern Recommendations

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Braham, A.; Khemaja, M.; Buendía García, F.; Gargouri, F. (2021). A Hybrid Recommender System for HCI Design Pattern Recommendations. Applied Sciences. 11(22):1-25. https://doi.org/10.3390/app112210776

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/187089

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Title: A Hybrid Recommender System for HCI Design Pattern Recommendations
Author: Braham, Amani Khemaja, Maha Buendía García, Félix Gargouri, Faiez
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] User interface design patterns are acknowledged as a standard solution to recurring de¿ sign problems. The heterogeneity of existing design patterns makes the selection of relevant ones difficult. To tackle these ...[+]
Subjects: HCI , Design patterns , Design problems , Semantic similarity , Ontology models , Recommender system
Copyrigths: Reconocimiento (by)
Source:
Applied Sciences. (eissn: 2076-3417 )
DOI: 10.3390/app112210776
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/app112210776
Type: Artículo

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