A Knowledge-based Recommendation Framework using SVN Numbers

Autor: Roddy Cabezas Padilla, José González Ruiz, Milton Villegas Alava, Maikel Leyva Vázquez
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Neutrosophic Sets and Systems, Vol 16, Pp 24-27 (2017)
Druh dokumentu: article
ISSN: 2331-6055
2331-608X
DOI: 10.5281/zenodo.831924
Popis: Current knowledge based recommender systems, despite proven useful and having a high impact, persist with some shortcomings. Among its limitations are the lack of more flexible models and the inclusion of indeterminacy of the factors involved for computing a global similarity.
Databáze: Directory of Open Access Journals