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- W1990672477 abstract "In the global mobile advertising market, delivering relevant and personalized advertisements to potential customers has become a central issue. This research study explores the potential of personalized mobile advertising based on information that can be extracted from users' mobile phones such as the frequency of using mobile applications and the list of most-frequently used applications. We conducted an experimental study with 15 participants to verify our approach. The results show that the congruence between the type of person's interests and the existence of interest-related application is statistically significant. Significant correlations were found between personal demographic data and specific types of mobile applications." @default.
- W1990672477 created "2016-06-24" @default.
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- W1990672477 date "2014-11-04" @default.
- W1990672477 modified "2023-09-27" @default.
- W1990672477 title "Exploring interest-based personalization in mobile advertising" @default.
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- W1990672477 doi "https://doi.org/10.1145/2676467.2676510" @default.
- W1990672477 hasPublicationYear "2014" @default.
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