Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising.
Penghui WeiWeimin ZhangRuijie HouJinquan LiuShaoguo LiuLiang WangBo ZhengPublished in: CoRR (2022)
Keyphrases
- posterior probability
- online advertising
- bayesian networks
- bayesian framework
- generative model
- user behavior
- probability distribution
- prior probabilities
- conditional probabilities
- probability density function
- behavioral targeting
- display advertising
- user experience
- probabilistic model
- prior knowledge
- sponsored search
- high dimensional