Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/970
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dc.contributor.authorKannangara, L.-
dc.contributor.authorHarsha, S.-
dc.contributor.authorIsuru, T.-
dc.contributor.authorWijesiriwardhane, C.-
dc.contributor.authorWijendra, D.R.-
dc.contributor.authorKishara, J.-
dc.date.accessioned2022-02-07T07:09:38Z-
dc.date.available2022-02-07T07:09:38Z-
dc.date.issued2021-12-09-
dc.identifier.issn978-1-6654-0862-2/21-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/970-
dc.description.abstractTelevision 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.en_US
dc.description.sponsorshipCo-Sponsor:Institute of Electrical and Electronic Engineers (IEEE) Academic sponsor:SLIIT UNI Gold Sponsor :London Stock Exchange Group (LSEG)en_US
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectadvertisementsen_US
dc.subjectad recommendationen_US
dc.subjectage estimationen_US
dc.subjectblockchainen_US
dc.subjectdata securityen_US
dc.subjectgender estimationen_US
dc.subjecthuman emotionsen_US
dc.subjectimage processingen_US
dc.titleArtificial Intelligence-based Business Strategy for Optimized Advertisingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671204en_US
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Department of Computer systems Engineering-Scopes

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