Browsing by Author "Isuru, T."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationEmbargo
    Artificial Intelligence-based Business Strategy for Optimized Advertising
    (2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Kannangara, L.; Harsha, S.; Isuru, T.; Wijesiriwardhane, C.; Wijendra, D.R.; Kishara, J.
    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.
  • Thumbnail Image
    PublicationEmbargo
    Artificial Intelligence-based Business Strategy for Optimized Advertising
    (2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Kannangara, L.; Harsha, S.; Isuru, T.; Wijesiriwardhane, C.; Wijendra, D.R.; Kishara, J.
    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.