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IEEE/ICACT20240357 Question.2 Questioner: ldaustero@bicol-u.edu.ph 2024-02-01 오후 2:46:06	IEEE/ICACT20240357 Answer.2 Answer by Auhor whkim712@kyonggi.ac.kr 2024-02-01 오후 2:46:06
Could you elaborate on how the proposed system addresses the cold start problem, especially in terms of the lack of an initial target? How does it ensure effective recommendations for new or less explored content?	The cold start problem mentioned in the introduction simply refers to the problems encountered in current recommendation systems, and this paper aims to contribute to improving the accuracy of recommendation methods utilizing metadata by extending metadata. This means creating information about content by generating metadata through deep learning-based analysis of content in a situation where there is no information about new or less explored content. This does not guarantee a user-satisfactory recommendation system, but it can compensate for the functional deficiencies of recommendation systems.

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