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A Survey on Real Time Bidding Advertising

A Survey on Real Time Bidding Advertising

引用

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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Tracking control of Discrete-Time Affine Nonlinear systems Based on Kernel-HDP Algorithm 11

Tracking Control of Discrete-Time Affine Nonlinear Systems B...

引用

11th World Congress on intelligent control and Automation

作者： Tan, Fuxiao Liu, Derong Guan, Xinping Fuyang Teachers Coll Sch Comp & Informat Fuyang Anhui Peoples R China Anhui Univ Minist Educ Key Lab Intelligent Comp & Signal Proc Hefei Anhui Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China

ISBN: (纸本)9781479958252

In the past decade, adaptive dynamic programming (ADP) has been widely used to realize online learning tracking control of dynamical systems, where neural networks with manually designed features are commonly used. In order to improve the generalization capability and learning efficiency of ADP, this paper presents a novel framework of ADP with sparse kernel machines by integrating kernel methods and approximately linear dependence (ALD) analysis into the critic module of ADP for the optimal tracking controller design. An ADP algorithm based on sparse kernel learning and heuristic dynamic programming (HDP) is proposed, that is, kernel HDP (KHDP). Based on KHDP, an experiment is established. By simulation, the effectiveness of proposed algorithm is demonstrated.

关键词： Dynamic programming

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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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Non-Gaussian Approximation Iterative Receiver for MIMO-OFDM Vehicular Networks 17

Non-Gaussian Approximation Iterative Receiver for MIMO-OFDM ...

引用

IEEE 17th International Conference on intelligent Transportation systems (ITSC)

作者： Han, Shuangshuang Yang, Liuqing Cheng, Xiang Chen, Shichao Zhu, Fenghua Yu, Zhongdong Xie, Haitao Qingdao Acad Intelligent Ind Qingdao Shandong Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Peking Univ Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Guang Zhou Commun Informat Construct Investment & Guangzhou 510405 Guangdong Peoples R China

ISBN: (纸本)9781479960781

Multiple-Input Multiple-Output - Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is adopted to vehicular networks to increase the capacity, reliability and speed. In this paper, iterative demodulation and decoding algorithms are studied to approach the capacity of MIMO-OFDM vehicular networks. By analysing the drawbacks of the Gaussian approximation on the interference cancellation, Non-Gaussian approximation is proposed to enhance the performance of interference cancellation based detectors with large constellations. Simulation results demonstrate that the proposed non-Gaussian algorithm can achieve a significant performance gain over existing ones with high order constellations.

关键词： MIMO systems

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

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

ISBN: (纸本)9781479960590

Budget optimization is an important issue faced by advertisers in search auctions, and has significant impact on the design of various advertising strategies. Given 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 future. Considering 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 variables. We also conduct experiments to validate our model and algorithm. The 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： Artificial intelligence

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An analysis of Beijing HFMD patients mobility pattern during seeking treatment

An analysis of Beijing HFMD patients mobility pattern during...

引用

2013 International Conference for Smart Health, ICSH 2013

作者： Zhu, Zhaonan Cao, Zhidong Zeng, Daniel Dajun State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642398438

Previous epidemiological researches have studied HFMD transmission pattern, but the study on the patients mobility pattern while seeking treatment is absent. In this paper, we present a statistical analysis of the spatialtemporal pattern of the Beijing HFMD patients mobility based on a complete works dataset containing over 40,000 cases in 2010. The main findings are as follows: (1) the patents incline to take their sick children to hospitals on weekdays, especially on Monday;(2) the patients living far from city center are more likely to get to hospitals in the afternoon, while the patients in the downtown in the morning;(3) patients (or their parents) either select the nearby hospitals, or the Class-A hospitals in the downtown. Furthermore, we employ a gravity model to describe the spatial mobility pattern of patients. The experiment results show a good fit. © 2013 Springer-Verlag.

关键词： Hospitals

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Using Web data to enhance traffic situation awareness

Using Web data to enhance traffic situation awareness

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International Conference on intelligent Transportation

作者： Xiao Wang Ke Zeng Xue-Liang Zhao Fei-Yue Wang Qingdao Academy of Intelligent Industries Chinese Academy of Sciences Beijing Shandong China School of electronic and information engineering Xi'an Jiaotong University Xi'an China The State Key Lab of Management and Control for Complex Systems Institute of Automation Beijing China

ISBN: (纸本)9781479960798

With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and manage traffic flows. In this paper, we use natural language processing and data mining technologies to extract traffic jam related information from ***, analyze the content of people's talk to discover the “talking point” of people when facing traffic jams, and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.

关键词： Media Transportation Real-time systems Data mining Message systems Monitoring

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Social manufacture cloud mode in high-end apparel, footwear and hats

Social manufacture cloud mode in high-end apparel, footwear ...

引用

World Congress on intelligent control and Automation (WCICA)

作者： Xiuqing Shang Baoli Su Xiwei Liu Gang Xiong Zengbo You The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Chinese Academy of Sciences Cloud Computing Center Dongguan Guangdong Province China Beijing Engineering Research Center of Intelligent Systems and Technology

This paper expounds the high-end apparel footwear and hats manufacture industry society mode of cloud services, achieve consumers actively participate in the high-end apparel, footwear and hats industry of mass customization services. Through social production theory and the combination of cloud computing services, use many kinds of 3D technology, new process technology of cooperative management, e-commerce, logistics and wisdom dynamic value chain analysis and so on the many kinds of technologies, constructed with size and cost of mass production, customization of new clothing, footwear and hats business model, and implements all participate in the design, all involved in manufacture, and everyone involved for “a new type of manufacture and service mode, will effectively drive the transformation and upgrading of industries, and bring new economic growth.

关键词： Business Collab.ration Clothing Crowdsourcing Three-dimensional displays Computational modeling

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Unmanned Aerial Vehicles (UAV) Heading Optimal Tracking control Using Online Kernel-based HDP Algorithm

Unmanned Aerial Vehicles (UAV) Heading Optimal Tracking Cont...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Tan, Fuxiao Liu, Derong Guan, Xinping Luo, Bin Fuyang Teachers Coll Sch Comp & Informat Fuyang Anhui Peoples R China Anhui Univ Minist Educ Key Lab Intelligent Comp & Signal Proc Hefei 230039 Anhui Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200030 Peoples R China Anhui Univ Sch Comp Sci & Technol Hefei 230039 Anhui Peoples R China

ISBN: (纸本)9781479914845

UAV can work in places that are dangerous, or not easy to reach for humans. However, due to active control and operating difficulties, it is still a challenge to develop fully autonomous flight in complex environments. This paper applies a novel heuristic dynamic programming for the UAV heading optimal tracking controller design, using kernel-based heuristic dynamic programming (KHDP). Kernel-based HDP is developed by integrating kernel methods and approximately linear dependence (ALD) analysis with the critic learning of HDP algorithm. Compared with conventional HDP where neural networks are widely used and their features were manually designed, the proposed algorithm can obtain better generalization capability and learning efficiency through applying the sparse kernel machine into the critic learning process of HDP algorithm. Simulation and experimental results of UAV heading optimal tracking control problems demonstrate the effectiveness of the proposed kernel-based HDP algorithm.

关键词： Dynamic programming

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