uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Intelligent Online Marketing: Predicting Conversion Rate Of New Keywords
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis looks at the problem of predicting conversion rate of keywords in Google Adwords where little or no data for the keyword is available. Several methods are investigated and tested on data belonging to three different real world clients. The methods try to predict the conversion rate only given the keyword text. All methods are compared, using two different evaluation methods, with results showing good potential. Finally further improvements are suggested that could have a big impact on the results.

Place, publisher, year, edition, pages
2013.
Series
IT, 13 055
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-208525OAI: oai:DiVA.org:uu-208525DiVA: diva2:652916
Educational program
Bachelor Programme in Computer Science
Supervisors
Examiners
Available from: 2013-10-02 Created: 2013-10-02 Last updated: 2013-12-02Bibliographically approved

Open Access in DiVA

fulltext(2632 kB)844 downloads
File information
File name FULLTEXT01.pdfFile size 2632 kBChecksum SHA-512
8d2c75e8cb52c7828349e42c62748e58bc7e153b288142a99ff144002e7c7065ad7ce56fc867f88e4652928e730f004bc373ece9bcb8c3a0b88403c22cac7296
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 844 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 964 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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