Zobrazeno 1 - 10
of 1 621
pro vyhledávání: '"ad auctions"'
Autor:
Li, Xinyu
This paper explores how ad platforms can utilize Bayesian persuasion within blockchain-based auction systems to strategically influence advertiser behavior despite increased transparency. By integrating game-theoretic models with machine learning tec
Externí odkaz:
http://arxiv.org/abs/2410.07392
In the field of computational advertising, the integration of ads into the outputs of large language models (LLMs) presents an opportunity to support these services without compromising content integrity. This paper introduces novel auction mechanism
Externí odkaz:
http://arxiv.org/abs/2406.09459
Autor:
Kevi, Eniko, Thang, Nguyen Kim
Matching problems have been widely studied in the research community, especially Ad-Auctions with many applications ranging from network design to advertising. Following the various advancements in machine learning, one natural question is whether cl
Externí odkaz:
http://arxiv.org/abs/2402.08701
In this work, we investigate the online learning problem of revenue maximization in ad auctions, where the seller needs to learn the click-through rates (CTRs) of each ad candidate and charge the price of the winner through a pay-per-click manner. We
Externí odkaz:
http://arxiv.org/abs/2403.00845
We study the design of loss functions for click-through rates (CTR) to optimize (social) welfare in advertising auctions. Existing works either only focus on CTR predictions without consideration of business objectives (e.g., welfare) in auctions or
Externí odkaz:
http://arxiv.org/abs/2306.01799
Autor:
Li, Bin, Lei, Yahui
In many applications, ads are displayed together with the prices, so as to provide a direct comparison among similar products or services. The price-displaying feature not only influences the consumers' decisions, but also affects the advertisers' bi
Externí odkaz:
http://arxiv.org/abs/2303.13192
We propose a new Markov Decision Process (MDP) model for ad auctions to capture the user response to the quality of ads, with the objective of maximizing the long-term discounted revenue. By incorporating user response, our model takes into considera
Externí odkaz:
http://arxiv.org/abs/2302.08108
Most of the economic reports forecast that almost half of the worldwide market value unlocked by AI over the next decade (up to 6 trillion USD per year) will be in marketing&sales. In particular, AI will enable the optimization of more and more intri
Externí odkaz:
http://arxiv.org/abs/2201.12275
Autor:
Bacchiocchi, Francesco, Castiglioni, Matteo, Marchesi, Alberto, Romano, Giulia, Gatti, Nicola
We study signaling in Bayesian ad auctions, in which bidders' valuations depend on a random, unknown state of nature. The auction mechanism has complete knowledge of the actual state of nature, and it can send signals to bidders so as to disclose inf
Externí odkaz:
http://arxiv.org/abs/2201.09728
The increasing competition in digital advertising induced a proliferation of media agencies playing the role of intermediaries between advertisers and platforms selling ad slots. When a group of competing advertisers is managed by a common agency, ma
Externí odkaz:
http://arxiv.org/abs/2204.13772