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Information Disclosure in Real-Time Bidding Advertising Markets

Information Disclosure in Real-Time Bidding Advertising Mark...

引用

2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Juanjuan Li Yong Yuan Rui Qin The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Real-time bidding（RTB）advertising is a fast-growing business model in online display advertising *** the guaranteed display advertising,it utilizes programmatic instantaneous auction to price and sell ad inventory on a per-impression *** enbales advertisers to target audiences at demographic,psychographic or behavioral levels across a wide range of *** RTB markets,information about target audiences is usually disclosed to advertisers,while information about publishers（*** ranking,advertising page）are typically not avaliable for advertisers,especially in real-time *** leads to a serious information asymmetry problem in RTB markets,which has significant influence on both advertisers’bidding strategies and publishers’*** this paper,we study the information disclosure strategies of publishers in case when the disclosure may incur an extra *** address this information asymmetry problem by first formulating the RTB auction as an second-price sealed-bid game,then discussing equilibrium information disclosure strategies for publishers and also investigating advertisers’bidding strategies in the three information disclosure cases:all disclosed,non-disclosed,and partially *** find that non-disclosed and partially disclosed strategies may lead to an adverse selection effect,and high-quality publishers will be forced to quit the RTB markets.

关键词： real-time bidding information disclosure asymmetric information adverse selection

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A Survey on Real Time Bidding Advertising

A Survey on Real Time Bidding Advertising

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Yong Yuan Feiyue Wang Juanjuan Li Rui Qin The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Real-time bidding(RTB)is an emerging and promising business model for online computational advertising in the age of big *** on analysis of massive amounts of Cookie data generated by Internet users,RTB advertising has the potential of identifying in real-time the characteristic and interest of the target audience in each ad impression,automatically delivering best-matched ads,and optimizing their prices via auction-based programmatic buying *** has significantly changed online advertising,evolving from the traditional pattern of"media buying"and"ad-slot buying"to"targetaudience buying",and is expected to be the standard business model for online advertising in the *** this paper,we discussed the current market practice of RTB advertising,presented the key roles and typical business processes in RTB markets,and summarized the current research progresses in the existing *** aim of this paper is to provide useful reference and guidance for future works.

关键词： real-time bidding computational advertising online advertising big data

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A Two-stage Fuzzy Budget Allocation Model in Search Auctions

A Two-stage Fuzzy Budget Allocation Model in Search Auctions

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Budget optimization is an important issue faced by advertisers in search auctions,and has significant impact on the design of various advertising *** a limited budget on a search market during a certain period,an advertiser has to distribute her budget to a series of sequential temporal slots(i.e.,days,weeks,or months),during which advertisers must avoid the budget being used up quickly,so as to keep the budget for potential clicks with better performance in the *** the optimal budgets over these temporal slots as fuzzy variables,we establish a two-stage fuzzy budget allocation model,and use particle swarm optimization(PSO)algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy *** also conduct experiments to validate our model and *** experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser.

关键词： budget optimization budget allocation sponsored search auctions two-stage fuzzy programming PSO

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Sequential Fusion and State Estimation for Asynchronous Multirate Multisensor Dynamic systems

Sequential Fusion and State Estimation for Asynchronous Mult...

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第三十三届中国控制会议

作者： Lu Jiang Liping Yan Bo Xiao Yuanqing Xia Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this *** dynamic system at the finest scale is *** are multiple sensors observing a single target independently with different sampling rates,and the observations are obtained *** present algorithm is shown to be more effective and efficient than the existed *** on a radar tracking system with three sensors are done and show the effectiveness of the present algorithm.

关键词： state estimation,sequential fusion,asynchronous,multirate multisensor,Kalman filter

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The Fusion of Multisensor Images with Multi-resolutions

The Fusion of Multisensor Images with Multi-resolutions

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第三十三届中国控制会议

作者： Liping Yan Bo Xiao Yuanqing Xia Meiling Wang Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781479947249

Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented algorithm is shown by comparing it with the wavelet based method through experiments, where four performance measures are used. The performance evaluation indices are the root mean square errors(RMSE), the information entropy(Entropy), the space frequency(SF) and the space visibility(SV). Theretical analysis and experimental results show the effectiveness of the presented algorithm.

关键词： Image fusion,multiresolution,multiscale Kalman filter,state space model

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A Model-based Demand-balance control for complex Urban traffic Networks

A Model-based Demand-balance Control for Complex Urban traff...

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17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Shu Lin Qing-Jie Kong School of Computer and Control Engineering University of Chinese Academy of Sciences Qingdao Academy of Intelligent Industries the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

Traffic control is an effective and efficient method for the problem of traffic *** complex urban traffic networks,it is necessary to design a high-level controller to regulate the traffic *** the parallel control framework for complex traffic networks,we design a demand-balance MPC controller based on the MFD-based multi-subnetwork model,which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the *** transferring traffic flows among subnetworks are indirectly controlled by the demand-balance MPC controller,and a global optimality can be achieved for the entire traffic *** simulation results show the effectiveness of the proposed controller in improving the network traffic throughput.

关键词： A Model-based Demand-balance control for complex Urban traffic Networks MFD Model

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Phototherapy: Metal–Organic‐Framework‐Derived Mesoporous Carbon Nanospheres Containing Porphyrin‐Like Metal Centers for Conformal Phototherapy (Adv. Mater. 38/2016)

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advanced Materials 2016年第38期28卷

作者： Shunhao Wang Lu Shang Linlin Li Yingjie Yu Chongwei Chi Kun Wang Jie Zhang Run Shi Heyun Shen Geoffrey I. N. Waterhouse Sijin Liu Jie Tian Tierui Zhang Huiyu Liu Beijing Key Laboratory of Bioprocess Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing Laboratory of Biomedical Materials Beijing University of Chemical Technology Beijing 100029 P. R. China Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco‐Environmental Sciences Chinese Academy of Sciences Beijing 100085 P. R. China University of Chinese Academy of Sciences Beijing 100049 P. R. China Beijing Institute of Nanoenergy and Nanosystems National Center for Nanoscience and Technology (NCNST) Chinese Academy of Sciences Beijing 100083 P. R. China Department of Materials Science and Engineering State University of New York at Stony Brook Stony Brook NY 11790 USA Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China School of Chemical Sciences The University of Auckland Auckland 1142 New Zealand

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The design and optimization method of near space intelligent target generator

The design and optimization method of near space intelligent...

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Chinese control Conference (CCC)

作者： Xiaolong Han Chen Chen School of Automation Beijing Institute of Technology Beijing Beijing CN Key Laboratory of Intelligent Control and complex decision-making Ministry of Education. Systems Beijing School of Automation Beijing Institute of Technology Beijing

This paper presents the design and optimization method of near space intelligent target generator to simulate the physical characteristics of the near space vehicle. Combined with High Level Architecture distributed simulation technology, a common, repeatable and verified platform for the near space vehicle has been provided. This method used 3D modeling software Creator and 3D visual rendering software Vega, two-dimensional map and three-dimensional vision were constructed to form a simulation environment, which enhanced the authenticity of the simulation. Based on particle swarm optimization, the intelligent path planning study of near space vehicle was conducted in this environment to make up for the inadequate intelligence of traditional target generators.

关键词： Solid modeling Generators Space vehicles Load modeling Path planning Radar

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A Stochastic Model for Budget Distribution over Time in Search Advertisements

A Stochastic Model for Budget Distribution over Time in Sear...

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Rui Qin Yong Yuan Juanjuan Li Yanwu Yang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences School of Management Huazhong University of Science and Technology

In search advertisements,advertisers have to seek for an effective allocation strategy to distribute the limited budget over a series of sequential temporal slots(e.g.,days).However,advertisers usually have no sufficient knowledge to determine the optimal budget for each temporal slot,because there exist much uncertainty in search advertising *** this paper,we present a stochastic model for budget distribution over a series of sequential temporal slots under a finite time horizon,assuming that the best budget is a random *** study some properties and feasible solutions for our model,taking the best budget being characterized by either normal distribution or uniform distribution,***,we also make some experiments to evaluate our model and identify strategies with the real-world data collected from practical advertising *** results show that a)our strategies outperform the baseline strategy that is commonly used in practice;b)the optimal budget is more likely to be normally distributed than uniformly distributed.

关键词： search advertisement budget distribution optimal budget stochastic programming budget constraint

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Optimal Formation of Robots by the Continuous-Discrete PSO Algorithm in Three Dimensional Space

Optimal Formation of Robots by the Continuous-Discrete PSO A...

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第26届中国控制与决策会议

作者： Jun Liu Hongbin Ma Tianyun Shi Ping Li School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Institute of Computing Technologies Chinese Academy of Railway Sciences

ISBN: (纸本)9781479937097

This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular constraints, it is shown that the center of the desired shape is determined and equal to the center of the initial shape by utilizing the Lagrangian method. From the perspective of efficiency, the main task of the continuous-discrete PSO algorithm, short for CDPSO, is to search for some key parameters and to minimize the distance of all robots from the initial shape to the desired shape. To demonstrate the effectiveness of the new CDPSO algorithm, numerical results chiefly concentrate on the optimal helicopters formation from the initial shape to the desired shape in the three dimensional space and the typical shape conversion from the two-dimensional space to the three-dimensional space.

关键词： Optimal formation Robots Lagrangian method Continuous-Discrete PSO algorithm

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