his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
KOMPARATIV STUDIE AV REKOMMENDATIONSSYSTEM: Prediction.io vs. EasyRec
University of Skövde, School of Informatics.
2015 (Swedish)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [sv]

Uppsatsen jämför två ramverk, EasyRec och Prediction.io, för rekommendationssystem. Syftet är att ta reda på hur ramverkens algoritmer skiljer sig i de rekommendationer som tas fram.

Place, publisher, year, edition, pages
2015. , 24 p.
Keyword [sv]
rekommendationssystem, prediction.io, easyrec
National Category
Computer Science
Identifiers
URN: urn:nbn:se:his:diva-11063OAI: oai:DiVA.org:his-11063DiVA: diva2:819979
Subject / course
Computer Science
Educational program
Web Developer - Programming
Presentation
2015-06-05, 14:00 (Swedish)
Supervisors
Examiners
Available from: 2015-08-03 Created: 2015-06-11 Last updated: 2015-08-03Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Pettersson, Johan
By organisation
School of Informatics
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 91 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf