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  1. Sep 2020
  2. psyarxiv.com psyarxiv.com
    Unifying recommendation and active learning for information filtering and recommender systems
    1
    1. katietaylor_99 07 Sep 2020

      Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.

      is:preprint lang:en active learning information filtering recommender system algorithms Internet AI artificial intelligence machine learning predictive accuracy recommendation accuracy exploration-exploitation tradeoff parameterized model cognitive science computer science experimental approach
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    psyarxiv.com/jqa83/
  3. Jul 2020
  4. www.cambridge.org www.cambridge.org
    How can experiments play a greater role in public policy? Twelve proposals from an economic model of scaling
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    1. Danaeioak 30 Jul 2020

      Al-Ubaydli, O., Lee, M. S., List, J. A., Mackevicius, C. L., & Suskind, D. (undefined/ed). How can experiments play a greater role in public policy? Twelve proposals from an economic model of scaling. Behavioural Public Policy, 1–48. https://doi.org/10.1017/bpp.2020.17

      is:article lang:en public policy experimental approach behavioral science generalizability scale-up effect representativeness economic model proposal
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    cambridge.org/core/journals/behavioural-public-policy/article/how-can-experiments-play-a-greater-role-in-public-policy-twelve-proposals-from-an-economic-model-of-scaling/C98A14CC8155FEBB2615CD32A75601D0/core-reader