Results 1 to 10 of about 170,012 (273)

Real-Time Bid Optimization for Group-Buying Ads [PDF]

open access: yesACM Transactions on Intelligent Systems and Technology, 2012
Group-buying ads seeking a minimum number of customers before the deal expiry are increasingly used by the daily-deal providers. Unlike the traditional web ads, the advertiser's profits for group-buying ads depends on the time to expiry and additional ...
Balakrishnan, Raju, Bhatt, Rushi P
core   +3 more sources

Bid-Aware Active Learning in Real-Time Bidding for Display Advertising [PDF]

open access: yesIEEE Access, 2020
In Real-time Bidding (RTB) based display advertising, demand side platforms (DSPs) estimate the click-through rate (CTR) of each advertisement impression, and then decide whether and how much to bid based on the information of the user and the advertiser.
Shuhao Liu, Yong Yu
doaj   +2 more sources

Optimal Real-Time Bidding Strategies [PDF]

open access: yesApplied Mathematics Research eXpress, 2016
The ad-trading desks of media-buying agencies are increasingly relying on complex algorithms for purchasing advertising inventory. In particular, Real-Time Bidding (RTB) algorithms respond to many auctions -- usually Vickrey auctions -- throughout the ...
Fernandez-Tapia, Joaquin   +2 more
core   +2 more sources

Real-time Bidding for Online Advertising: Measurement and Analysis [PDF]

open access: yesProceedings of the Seventh International Workshop on Data Mining for Online Advertising, 2013
The real-time bidding (RTB), aka programmatic buying, has recently become the fastest growing area in online advertising. Instead of bulking buying and inventory-centric buying, RTB mimics stock exchanges and utilises computer algorithms to automatically
Wang, Jun, Yuan, Shuai, Zhao, Xiaoxue
core   +4 more sources

Deep Landscape Forecasting for Real-time Bidding Advertising [PDF]

open access: yesProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
The emergence of real-time auction in online advertising has drawn huge attention of modeling the market competition, i.e., bid landscape forecasting.
Qin, Jiarui   +5 more
core   +2 more sources

Real-Time Bidding Model of Cryptocurrency Energy Trading Platform

open access: yesEnergies, 2021
Blockchain technology provides a comprehensive solution to user access and energy trading for distributed energy Internet. Achieving market-based pricing, increasing the earnings of energy suppliers, attracting foreign capital and facilitating the ...
Yue Wu, Junxiang Li, Jin Gao
doaj   +1 more source

Forecasting Conversion Rate for Real Time CPC Bidding With Target ROAS

open access: yesIEEE Access, 2023
For bidding in real time, the rate of customer conversion needs to be predicted in real time. Using the rate prediction and the target return on ad spend, a competitive CPC bid can be computed. In our study, we built two models, i.e., MoM and MCI namely,
Semih Bulut, Emin Avci, Ahmet Bulut
doaj   +1 more source

Optimal Bidding Strategy without Exploration in Real-time Bidding [PDF]

open access: yes, 2020
Maximizing utility with a budget constraint is the primary goal for advertisers in real-time bidding (RTB) systems. The policy maximizing the utility is referred to as the optimal bidding strategy. Earlier works on optimal bidding strategy apply model-based batch reinforcement learning methods which can not generalize to unknown budget and time ...
Ghosh, Aritra   +3 more
openaire   +2 more sources

A Dynamic Bidding Strategy Based on Model-Free Reinforcement Learning in Display Advertising

open access: yesIEEE Access, 2020
Real-time bidding (RTB) is one of the most striking advances in online advertising, where the websites can sell each ad impression through a public auction, and the advertisers can participate in bidding the impression based on its estimated value.
Mengjuan Liu   +4 more
doaj   +1 more source

A Decision Model for an Electricity Retailer With Energy Storage and Virtual Bidding Under Daily and Hourly CVaR Assessment

open access: yesIEEE Access, 2021
This paper presents a short-term decision-making model for an electricity retailer with battery energy storage system (BESS) and virtual bidding through a two-stage stochastic optimization framework. In the first stage, the retailer determines the amount
Josue Campos Do Prado, Ugonna Chikezie
doaj   +1 more source

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