Results 21 to 30 of about 3,237,044 (306)

Visual Specification of Layered Bidding Strategies for Autonomous Bidding Agents [PDF]

Journal of Computers, 2010
In an agent-based online auction system, a bidding agent can automatically place bids on behalf of a human user according to a user-specified bidding strategy. Current implementations of bidding agents only support a set of simple predefined bidding strategies.
Benjamin J. Ford, Haiping Xu, Christopher K. Bates, Sol M. Shatz   +3 more
openaire   +1 more source

An Expected Win Rate-Based Real Time Bidding Strategy for Branding Campaign by the Model-Free Reinforcement Learning Model

IEEE Access, 2020
The bidding strategy plays the most important role to help the Demand Side Platforms (DSPs) making bidding decisions on a large number of bid requests in Real Time Bidding (RTB) to satisfy the different objectives of campaigns under the lifetime and ...
Wen-Yueh Shih, Yi-Shu Lu, Hsiao-Ping Tsai, Jiun-Long Huang   +3 more
doaj   +1 more source

The Effects of Proxy Bidding and Minimum Bid Increments within eBay Auctions

, 2007
We present a mathematical model of the eBay auction protocol and perform a detailed analysis of the effects that the eBay proxy bidding system and the minimum bid increment have on the auction properties. We first consider the revenue of the auction, and
David, E, Schiff, J, David, Esther, Jeremy Schiff, Jennings, N. R., Schiff, Jeremy, Alex Rogers, Esther David, Nicholas R. Jennings, Rogers, A, Rogers, Alex, Jennings, NR   +11 more
core   +2 more sources

Optimal Bidding Strategy for Brand Advertising [PDF]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Brand advertising is a type of advertising that aims at increasing the awareness of companies or products. This type of advertising is well studied in economic, marketing, and psychological literature; however, there are no studies in the area of computational advertising because the effect of such advertising is difficult to observe.
Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata   +3 more
openaire   +2 more sources

Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes

Big Data and Cognitive Computing
Real-time bidding has become a major means for online advertisement exchange. The goal of a real-time bidding strategy is to maximize the benefits for stakeholders, e.g., click-through rates or conversion rates.
Xiaotong Luo, Yongjian Chen, Shengda Zhuo, Jie Lu, Ziyang Chen, Lichun Li, Jingyan Tian, Xiaotong Ye, Yin Tang   +8 more
doaj   +1 more source

Optimal Electricity Allocation Model Under China's Planning-Market Double-Track Mechanism Considering Bidding Game of Generation Companies

Frontiers in Energy Research, 2021
In China, under the planning-market double-track mechanism implemented on the generation side of electricity, unreasonable market-oriented power generation proportion may lead to unnecessary vicious competition and market price changes, and it is against
Jinrui Cui, Jinrui Cui, Yating Li, Chuan He, Chuan He, Zhi Zhang, Haichao Wang, Haichao Wang, Jiajun Tang, Yongbo Li, Yongbo Li, Hualin Cai, Zhenzhi Lin, Zhenzhi Lin, Li Yang   +14 more
doaj   +1 more source

Import Tenders and Bidding Strategies in Wheat [PDF]

Review of Agricultural Economics, 2001
Bidding competition plays an important role in price discovery and the determination of suppliers in international grains. We analyze bidding competition in this paper in the international market for wheat for a specific importer. Optimal bids and expected payoffs were derived for a prototypical bidder.
Wilson, William W., Dahl, Bruce L.
openaire   +2 more sources

Q-Strategy: A Bidding Strategy for Market-Based Allocation of Grid Services [PDF]

, 2008
The application of autonomous agents by the provisioning and usage of computational services is an attractive research field. Various methods and technologies in the area of artificial intelligence, statistics and economics are playing together to ...
Borissov, Nikolay, Wirström, Niklas, Wirström, Niklas,, Niklas Wirström, Nikolay Borissov   +4 more
core   +1 more source

Study on the Dynamic Evolution of Transverse Collusive Bidding Behavior and Regulation Countermeasures Under the “Machine-Managed Bidding” System

Buildings
The Machine-Managed Bidding (MMB) system is an innovative bidding mode implemented by the Chinese government to mitigate collusive bidding behavior. Prior studies have focused minimally on the bidding mechanism and the possible collusive bidding behavior
Zongyuan Zhang, Jincan Liu, Zhitian Zhang, Bin Chen   +3 more
doaj   +1 more source

A deep reinforcement learning-based bidding strategy for participants in a peer-to-peer energy trading scenario

Frontiers in Energy Research, 2023
An efficient energy trading strategy is proven to have a vital role in reducing participants’ payment in the energy trading process of the power grid, which can greatly improve the operation efficiency of the power grid and the willingness of ...
Feiye Zhang, Qingyu Yang, Donghe Li
doaj   +1 more source