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pro vyhledávání: '"Chaney, Allison J. B."'
Autor:
Chaney, Allison J. B.
As recommendation systems become increasingly standard for online platforms, simulations provide an avenue for understanding the impacts of these systems on individuals and society. When constructing a recommendation system simulation, there are two
Externí odkaz:
http://arxiv.org/abs/2109.02475
We describe nonparametric deconvolution models (NDMs), a family of Bayesian nonparametric models for collections of data in which each observation is the average over the features from heterogeneous particles. For example, these types of data are fou
Externí odkaz:
http://arxiv.org/abs/2003.07718
Recommendation systems are ubiquitous and impact many domains; they have the potential to influence product consumption, individuals' perceptions of the world, and life-altering decisions. These systems are often evaluated or trained with data from u
Externí odkaz:
http://arxiv.org/abs/1710.11214
Autor:
Hagen, Linda, Uetake, Kosuke, Yang, Nathan, Bollinger, Bryan, Chaney, Allison J. B., Dzyabura, Daria, Etkin, Jordan, Goldfarb, Avi, Liu, Liu, Sudhir, K., Wang, Yanwen, Wright, James R., Zhu, Ying
Publikováno v:
Marketing Letters, 2020 Dec 01. 31(4), 361-370.
Externí odkaz:
https://www.jstor.org/stable/48739821
