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dc.contributor.author
Medel Canales, Diego Alejandro
dc.contributor.author
González González, Carina Soledad
dc.contributor.author
Aciar, Silvana Vanesa
dc.date.available
2022-05-20T19:03:30Z
dc.date.issued
2021-12
dc.identifier.citation
Medel Canales, Diego Alejandro; González González, Carina Soledad; Aciar, Silvana Vanesa; Social Relations and Methods in Recommender Systems: A Systematic Review; Universidad Internacional de La Rioja; International Journal of Interactive Multimedia and Artificial Intelligence; 2021; 12-2021; 1-11
dc.identifier.uri
http://hdl.handle.net/11336/157958
dc.description.abstract
With the constant growth of information, data sparsity problems, and cold start have become a complex problem in obtaining accurate recommendations. Currently, authors consider the user´s historical behavior and find contextual information about the user, such as social relationships, time information, and location. In this work, a systematic review of the literature on recommender systems that use the information on social relationships between users was carried out. As the main findings, social relations were classified into three groups: trust, friend activities, and user interactions. Likewise, the collaborative filtering approach was the most used, and with the best results, considering the methods based on memory and model. The most used metrics that we found, and the recommendation methods studied in mobile applications are presented. The information provided by this study can be valuable to increase the precision of the recommendations.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Universidad Internacional de La Rioja
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
COLLABORATIVE FILTERING
dc.subject
RECOMMENDATION SYSTEMS
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SYSTEMATIC REVIEW
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SOCIAL RELATIONSHIPS
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Social Relations and Methods in Recommender Systems: A Systematic Review
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-05-20T12:53:02Z
dc.identifier.eissn
1989-1660
dc.journal.volume
2021
dc.journal.pagination
1-11
dc.journal.pais
España
dc.journal.ciudad
Logroño
dc.description.fil
Fil: Medel Canales, Diego Alejandro. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Informática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.description.fil
Fil: González González, Carina Soledad. Universidad de La Laguna; España
dc.description.fil
Fil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Informática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.journal.title
International Journal of Interactive Multimedia and Artificial Intelligence
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ijimai.org/journal/sites/default/files/2021-12/ip2021_12_004.pdf
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.9781/ijimai.2021.12.004
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