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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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2 results for serendipity

The study proposes a Bayesian model to avoid filter bubbles by recommending articles with high uncertainty.

problem Filter bubbles limit exposure to diverse viewpoints, harming long-term user experiences.
method A Bayesian model of uncertainty-aware scoring and ranking for news articles is proposed. The model uses a Beta-distributed random variable conditional on context features.
result The proposed estimator outperforms existing algorithms in identifying successful outliers, improving personalized targeting of exceptional articles.