Analyzing Factors of Users Click Behavior on Ads Based on Logistic Regression and Machine Learning
Author:
Funder
AEIC Academic Exchange Information Centre
Publisher
Atlantis Press SARL
Reference10 articles.
1. Y. Liu, P. Yuan, W. Liu, & X. Li (2015). What drives click-through rates of tourism product advertisements on group buying websites?. Procedia Computer Science, 55, 221-230.
2. Y. Kim, M. Kang, S. M. Choi, & Y. Sung (2016). To click or not to click? Investigating antecedents of advertisement clicking on Facebook. Social Behavior and Personality: an international journal, 44(4), 657-667.
3. M. Daryaie Zanjani, & S. Khadivi (2015). Predicting user click behaviour in search engine advertisements. New Review of Hypermedia and Multimedia, 21(3-4), 301-319.
4. J. Mattke, C. Maier, L. Reis, & T. Weitzel (2021). In-app advertising: a two-step qualitative comparative analysis to explain clicking behavior. European Journal of Marketing.
5. H. Haans, N. Raassens, & R. van Hout, (2013). Search engine advertisements: The impact of advertising statements on click-through and conversion rates. Marketing Letters, 24(2), 151-163.
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