开课单位--脸书
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Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions[在线广告拍卖中效用优化的成本敏感学习]
Damien Lefortier(脸书) One of the most challenging problems in computational advertising is the prediction of click-through and conversion rates for bidding in online advert...
热度:19
Damien Lefortier(脸书) One of the most challenging problems in computational advertising is the prediction of click-through and conversion rates for bidding in online advert...
热度:19
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Stochastic bandits for multi-platform budget optimization in online advertising[在线广告多平台预算优化的随机强盗算法]
Vashist Avadhanula(脸书) Stochastic bandits for multi-platform budget optimization in online advertising
热度:22
Vashist Avadhanula(脸书) Stochastic bandits for multi-platform budget optimization in online advertising
热度:22
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Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes[基于惰性多元Hawkes过程的大规模稀疏信息扩散建模]
Maximillian Nickel(脸书) Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes
热度:42
Maximillian Nickel(脸书) Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes
热度:42
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