Paper formalizes curiosity into five axioms and lifts CTR in streaming platform field test
_reachsumit · x · 2026-11-13
An NYU paper by Pan Li and Alexander Tuzhilin formalizes information-gap curiosity theory into five axioms and builds a computational measure of how much curiosity a recommended item evokes.
- Survey studies show the measure matches self-reported curiosity and outperforms existing proxy metrics
- Embedding it into a recommender's utility function beats SOTA on three real-world offline datasets
- A large-scale online experiment at a major Asian video-streaming platform shows significant gains in click-through rate and video views
The argument: curiosity breaks relevance-only filter bubbles and deserves a formal place in recommender systems.
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