By Srijith Ravikumar, Forbes Councils MemberSource:
Forbes Innovation Your back catalog carries years of ratings and rank. The products carrying next quarter's revenue have none.
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Forbes Councils member Srijith Ravikumar argues that AI recommendation systems favor established products with years of ratings and rank over new products that carry next quarter's revenue but have no historical data. The gap leaves new items invisible to AI-driven recommendations despite the systems being able to identify them.
By Srijith Ravikumar, Forbes Councils MemberSource:
Forbes Innovation Your back catalog carries years of ratings and rank. The products carrying next quarter's revenue have none.
Get AI news in your inbox
Daily digest of what matters in AI.
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