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Text mining in computational advertising

Publication ,  Journal Article
Soriano, J; Au, T; Banks, D
Published in: Statistical Analysis and Data Mining
August 1, 2013

Computational advertising uses information on web-browsing activity and additional covariates to select advertisements for display to the user. The statistical challenge is to develop methodology that matches ads to users who are likely to purchase the advertised product. These methods not only involve text mining, but also may draw upon additional modeling related to both the user and the advertisement. This paper reviews various aspects of text mining, including n-grams, topic modeling, and text networks, and discusses different strategies in the context of specific business models. © 2013 Wiley Periodicals, Inc.

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Published In

Statistical Analysis and Data Mining

DOI

EISSN

1932-1864

ISSN

1932-1872

Publication Date

August 1, 2013

Volume

6

Issue

4

Start / End Page

273 / 285

Related Subject Headings

  • 4905 Statistics
  • 4605 Data management and data science
  • 0104 Statistics
 

Citation

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Soriano, J., Au, T., & Banks, D. (2013). Text mining in computational advertising. Statistical Analysis and Data Mining, 6(4), 273–285. https://doi.org/10.1002/sam.11197
Soriano, J., T. Au, and D. Banks. “Text mining in computational advertising.” Statistical Analysis and Data Mining 6, no. 4 (August 1, 2013): 273–85. https://doi.org/10.1002/sam.11197.
Soriano J, Au T, Banks D. Text mining in computational advertising. Statistical Analysis and Data Mining. 2013 Aug 1;6(4):273–85.
Soriano, J., et al. “Text mining in computational advertising.” Statistical Analysis and Data Mining, vol. 6, no. 4, Aug. 2013, pp. 273–85. Scopus, doi:10.1002/sam.11197.
Soriano J, Au T, Banks D. Text mining in computational advertising. Statistical Analysis and Data Mining. 2013 Aug 1;6(4):273–285.

Published In

Statistical Analysis and Data Mining

DOI

EISSN

1932-1864

ISSN

1932-1872

Publication Date

August 1, 2013

Volume

6

Issue

4

Start / End Page

273 / 285

Related Subject Headings

  • 4905 Statistics
  • 4605 Data management and data science
  • 0104 Statistics