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In the volatile realm of copyright, portfolio optimization presents a formidable challenge. Traditional methods often struggle to keep pace with the swift market shifts. However, machine learning techniques are emerging as a powerful solution to enhance copyright portfolio performance. These algorithms interpret vast datasets to identify patterns a