Evaluating Strategies for Selecting Test Datasets in Recommender Systems

Literals

• bibo:doi
  • 10.1007/978-3-030-29859-3_21
• dcterms:publisher
  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• dcterms:contributor
• bibo:eissn
  • 1611-3349
• fabio:hasPublicationYear
  • 2019
• bibo:page_range
  • 243-253
• bibo:isbn
  • 9783030298586
• dcterms:creator
  • Pajuelo-Holguera F.
• ou:eid
  • 2-s2.0-85072897463
• vivo:identifier
  • 2019-36
• bibo:issn
  • 0302-9743
• ou:tipoPublicacion
  • Conference Paper
• dcterms:title
  • Evaluating Strategies for Selecting Test Datasets in Recommender Systems
• vcard:url
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072897463&origin=inward
• ou:urlScopus
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072897463&origin=inward
• ou:vecesCitado
  • 1
• bibo:volume
  • 11734 LNAI

Typed Literals

• dcterms:created
  • 2019-01-01T00:00:00 (xsd:dateTime)

Relations

• ou:publicadaEnRevista
  • Lecture Notes in Computer Science

Inverse Relations

• Has related: ou:tienePublicacion
  • JUAN ANTONIO GÓMEZ PULIDO