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See detailDATA DISTRIBUTION API SPECIFICATION
Blanco, Braulio UL; Brorsson, Mats Hakan UL

Report (2021)

The second deliverable for the Script Project: API Specification

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See detailREPORT OF DATA SOURCES
Wang, Xin Lin UL; Blanco, Braulio UL; Brorsson, Mats Hakan UL

Report (2021)

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See detailTime Series Modeling of Market Price in Real-Time Bidding
Du, Manxing UL; Hammerschmidt, Christian UL; Varisteas, Georgios UL et al

in 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2019, April)

Real-Time-Bidding (RTB) is one of the most popular online advertisement selling mechanisms. Modeling the highly dynamic bidding environment is crucial for making good bids. Market prices of auctions ... [more ▼]

Real-Time-Bidding (RTB) is one of the most popular online advertisement selling mechanisms. Modeling the highly dynamic bidding environment is crucial for making good bids. Market prices of auctions fluctuate heavily within short time spans. State-of-the-art methods neglect the temporal dependencies of bidders’ behaviors. In this paper, the bid requests are aggregated by time and the mean market price per aggregated segment is modeled as a time series. We show that the Long Short Term Memory (LSTM) neural network outperforms the state-of-the-art univariate time series models by capturing the nonlinear temporal dependencies in the market price. We further improve the predicting performance by adding a summary of exogenous features from bid requests. [less ▲]

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See detailRegression-based prediction for task-based program performance
Oz, Isil; Bhatti, Muhammad Khurram; Popov, Konstantin et al

in Journal of Circuits, Systems and Computers (2019), 28(04), 1950060

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See detailKnow Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation
Du, Manxing UL; Cowen-Rivers, Alexander I.; Wen, Ying et al

in Proceedings of the 19th IEEE International Conference on Data Mining Workshops (ICDMW 2019) (2019)

Detailed reference viewed: 382 (2 UL)