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Found 4 papers, 1 papers with code
Towards Data Quality Assessment in Online Advertising
We also present two use cases where we can utilize the data quality assessment results: the first use case is targeting specific user categories, and the second one is forecasting the desirable audiences we can reach for an online advertising campaign with pre-set targeting criteria.
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment
Traditional pairwise sequence alignment is based on matching individual samples from two sequences, under time monotonicity constraints.
Finding Needle in a Million Metrics: Anomaly Detection in a Large-scale Computational Advertising Platform
Online media offers opportunities to marketers to deliver brand messages to a large audience.
Online Model Evaluation in a Large-Scale Computational Advertising Platform
Effective and reliable evaluation of an online bidding model is crucial for making faster model improvements as well as for utilizing the marketing budgets more efficiently.
