Text mining in computational advertising
Publication
, Journal Article
Soriano, J; Au, T; Banks, D
Published in: Statistical Analysis and Data Mining
January 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.
Duke Scholars
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Published In
Statistical Analysis and Data Mining
DOI
EISSN
1932-1864
ISSN
1932-1872
Publication Date
January 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
APA
Chicago
ICMJE
MLA
NLM
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 (January 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 Jan 1;6(4):273–85.
Soriano, J., et al. “Text mining in computational advertising.” Statistical Analysis and Data Mining, vol. 6, no. 4, Jan. 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 Jan 1;6(4):273–285.
Published In
Statistical Analysis and Data Mining
DOI
EISSN
1932-1864
ISSN
1932-1872
Publication Date
January 1, 2013
Volume
6
Issue
4
Start / End Page
273 / 285
Related Subject Headings
- 4905 Statistics
- 4605 Data management and data science
- 0104 Statistics