Publication: Artificial Intelligence-based Business Strategy for Optimized Advertising
Type:
Article
Date
2021-12-09
Journal Title
Journal ISSN
Volume Title
Publisher
2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT
Abstract
Television commercials are a passive type of
advertising technique that does not consider consumer
demographics who are viewing the television at a specific
time. As a result, the user sees irrelevant advertisements,
which tends to reduce user engagement and sales
conversions.As Sales ,which is the expected target of any
advertisement campaign, a user-based advertising
approach can be considered as a solution to mitigate the
negative aspects. A user-based advertisement suggesting
system for television, which is extensively utilized in every
other digital media, is expected to be given as the solution.
For the suggestion process, user attributes such as age,
gender, peer group, and the mood identified in which the
advertising is shown were taken into consideration. This
will result in more relevant commercials for consumers,
making television advertisements more user-friendly,
resulting in greater sales conversion for the advertising
agency.
Description
Keywords
advertisements, ad recommendation, age estimation, blockchain, data security, gender estimation, human emotions, image processing
