Netflix study: better recommenders concentrate viewing, don’t spread it
A Netflix research paper examines how recommender system upgrades reshape consumption across the catalog, splitting titles into popularity segments including a “middle tail.” The findings challenge assumptions that better RecSys naturally surfaces long-tail or lesser-known content to more viewers.
Why it matters. Streamers relying on recommenders to justify a broad content spend must reckon with evidence that better algorithms can further concentrate viewership on already-popular titles rather than lift the middle tail.
Signal from mobiledevmemo.com · Eric Benjamin Seufert · read the original.
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