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The Intelligent Systems Series publishes reference works and handbooks in three core sub-topic areas: Intelligent Automation, Intelligent Transportation Systems, and Intellige… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
The Intelligent Systems Series publishes reference works and handbooks in three core sub-topic areas: Intelligent Automation, Intelligent Transportation Systems, and Intelligent Computing. They include theoretical studies, design methods, and real-world implementations and applications. The series' readership is broad, but focuses on engineering, electronics, and computer science.
Budget constraints and optimization in sponsored search auctions takes into account consideration of the entire life cycle of campaigns for researchers and developers working on search systems and ROI maximization. The highly experienced authors compiled their knowledge and experience to provide insight, algorithms and development techniques for successful optimized/constrained systems. The book presents a cutting-edge budget optimization approach that embraces three-level budget decisions in the life cycle of search auctions: allocation across markets at the system level, distribution over temporal slots at the campaign level, and real-time adjustment at the keyword level.
Computer Engineers; Intelligent Systems specialists. Security professionals
Preface
Chapter 1. Search Engine Meets Economics
Abstract
1.1 The Web and Search Engines
1.2 Internet and Search Economics, Search Engine Marketing
1.3 A First Glimpse of Sponsored Search Auctions
1.4 Understanding the Budget in Sponsored Search Auctions
1.5 How this Book is Organized
References
Chapter 2. Budget Constraints in Sponsored Search Auctions
Abstract
2.1 Introduction
2.2 Budget-Constrained Sponsored Search Auctions
2.3 Summary
References
Chapter 3. Budget Optimization in Sponsored Search Auctions
Abstract
3.1 Introduction
3.2 Budget Decision Scenarios
3.3 The Necessity of Budget Optimization
3.4 A Budget Taxonomy in Sponsored Search Auctions
3.5 Discussions
3.6 Conclusions
References
Chapter 4. A Budget Optimization Framework for Search Advertisements
Abstract
4.1 Introduction
4.2 Challenges
4.3 A Budget Optimization Framework
4.4 Mathematics of the Budget Optimization Framework
4.5 The Framework Instantiation
4.6 Experiments and Validation
4.7 Discussions
4.8 Conclusions
References
Chapter 5. The First Step to Allocate Advertising Budget in Sponsored Search Auctions
Abstract
5.1 Introduction
5.2 Problem Statement
5.3 Budget Initialization
5.4 Budget Adjustment
5.5 Experimental Validation
5.6 Conclusions
References
Chapter 6. Optimal Budget Allocation Across Search Markets
Abstract
6.1 Introduction
6.2 Modeling Elements
6.3 Optimal Budget Allocation Across Search Markets
6.4 Experimental Validation
6.5 Conclusions
References
Chapter 7. Budget Allocation In Competitive Search Advertisements, Part I: In Static Environments
Abstract
7.1 Introduction
7.2 The Budget Allocation Game
7.3 An Evaluation Approach
7.4 Experiments
7.5 Conclusions
References
Chapter 8. Budget Allocation in Competitive Search Advertisements, Part II: In Dynamic Environments
Abstract
8.1 Introduction
8.2 Problem Statement
8.3 Budget Competition
8.4 Experimental Evaluation
8.5 Conclusions
References
Chapter 9. Stochastic Budget Strategies at the Campaign Level: A Preliminary Investigation
Abstract
9.1 Introduction
9.2 Problem Statement
9.3 Budget Distribution Over Time
9.4 Experimental Evaluation
9.5 Conclusions
References
Chapter 10. A Stochastic Budget Distribution Model in Search Advertisements
Abstract
10.1 Introduction
10.2 A Stochastic Budget Distribution Model
10.3 Properties and Solutions
10.4 Experiments
10.5 Conclusion
References
Chapter 11. A Two-Stage Fuzzy Programming Approach for Budget Allocation in Sponsored Search Auctions
Abstract
11.1 Introduction
11.2 Problem Formulation
11.3 The Solution Algorithm
11.4 Experiments
11.5 Conclusion
References
Chapter 12. Budget Planning for Coupled Campaigns in Sponsored Search Auctions
Abstract
12.1 Introduction
12.2 Multi-Campaign Budget Planning
12.3 The Solution & Properties
12.4 Experimental Validation
12.5 Conclusions
References
Chapter 13. Daily Budget Adjustment in Sponsored Search Auctions
Abstract
13.1 Introduction
13.2 Real-Time Budget Adjustment
13.3 Experiments
13.4 Conclusions
References
Chapter 14. Dynamic Budget Adjustment in Sponsored Search Auctions
Abstract
14.1 Introduction
14.2 Problem Statement
14.3 Dynamic Budget Adjustment
14.4 Experimental Evaluation
14.5 Conclusions
References
Chapter 15. Perspectives: Looking into the Future of Budgeting Strategies in Sponsored Search Auctions
Abstract
15.1 Research Prospectives
15.2 Joint Optimization of Advertising Strategies
References
Index
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