Akaike information criterion statistics
Akaike information criterion statistics
C4.5: programs for machine learning
C4.5: programs for machine learning
Interior point algorithms: theory and analysis
Interior point algorithms: theory and analysis
Unintrusive customization techniques for Web advertising
WWW '99 Proceedings of the eighth international conference on World Wide Web
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
An entropy approach to unintrusive targeted advertising on the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Targeted advertising with inventory management
Proceedings of the 2nd ACM conference on Electronic commerce
Improvements in practical aspects of optimally scheduling web advertising
Proceedings of the 11th international conference on World Wide Web
Collaborative Filtering Using Weighted Majority Prediction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning to Optimally Schedule Internet Banner Advertisements
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Word clustering and disambiguation based on co-occurrence data
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Optimal Auctions Capturing Constraints in Sponsored Search
AAIM '09 Proceedings of the 5th International Conference on Algorithmic Aspects in Information and Management
Optimal Internet Media Selection
Marketing Science
Algorithms for adversarial bandit problems with multiple plays
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
OR PRACTICE---Scheduling of Dynamic In-Game Advertising
Operations Research
Random effects model for estimating effectiveness of advertising in online marketplaces
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Ad serving using a compact allocation plan
Proceedings of the 13th ACM Conference on Electronic Commerce
Optimizing direct response in Internet display advertising
Electronic Commerce Research and Applications
The Planning of Guaranteed Targeted Display Advertising
Operations Research
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We propose and evaluate a number of improvements to the linear programming formulation of web advertisement scheduling, which we have proposed elsewhere together with our colleagues [Langheinrich et al., 9]. In particular, we address a couple of important technical challenges having to do with the estimation of click-through rates and optimization of display probabilities (the exploration–exploitation trade-off and the issue of data sparseness and scalability), as well as practical aspects that are essential for successful deployment of this approach (the issues of multi-impressions and inventory management). We propose solutions to each of these issues, and assess their effectiveness by running large-scale simulation experiments.