IEEE/ICACT20240357 Slide.21        [Big Slide]       Oral Presentation
Finally, Here is the Conclusion. In this paper, we proposed a model to enhance search and recommendation systems by extending metadata with contextual data extracted from actual content through AI-based content analysis. If this model is applied to various content search and recommendation platforms, the extended metadata can be used to provide results that are close to the search query when the user enters the search query. It can also be used to help users discover videos that contain similar content based on the video. This will provide a way to discover more similar videos and clips by allowing metadata to reflect the actual content of content that was previously excluded. This will compensate for problems with existing search, recommendation, and censorship systems, enabling more in-depth recommendations.

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