Profiting from several recommendation algorithms using a scalable approach

Literals

ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84989812687&origin=inward
dcterms:contributor
- Lanza D., Chavez F., Fernandez F., Garcia-Valdez M., Trujillo L., Olague G.
ou:bibtex
- @article{Chávez2017,title = {Profiting from several recommendation algorithms using a scalable approach},journal = {Studies in Computational Intelligence},year = {2017},volume = {663},pages = {357-375},author = {Lanza, D. and Ch{\'a}vez, F. and Fernandez, F. and Garcia-Valdez, M. and Trujillo, L. and Olague, G.}}
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84989812687&origin=inward
bibo:page_range
- 357-375
bibo:issn
- 1860-949X
vivo:identifier
- 2017-666
bibo:doi
- 10.1007/978-3-319-44003-3_14
dcterms:creator
- Lanza D.
fabio:hasPublicationYear
- 2017
ou:eid
- 2-s2.0-84989812687
dcterms:publisher
- Studies in Computational Intelligence
ou:tipoPublicacion
- Article
dcterms:title
- Profiting from several recommendation algorithms using a scalable approach
ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-84989812687&partnerID=MN8TOARS
ou:vecesCitado
- 2
bibo:volume
- 663