Annals of Operations Research
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
On Preemptive Resource Constrained Scheduling: Polynomial-Time Approximation Schemes
Proceedings of the 9th International IPCO Conference on Integer Programming and Combinatorial Optimization
Scheduling Web Advertisements: A Note on the Minspace Problem
Journal of Scheduling
Discovering information diffusion paths from blogosphere for online advertising
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising
Markovian workload modeling for Enterprise Application Servers
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Two for One: Tight Approximation of 2D Bin Packing
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
Approximation algorithms for orthogonal packing problems for hypercubes
Theoretical Computer Science
Single Pattern Generating Heuristics for Pixel Advertisements
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Maximizing revenue with allocation of multiple advertisements on a Web banner
Computers and Operations Research
Expert Systems with Applications: An International Journal
Approximating the orthogonal knapsack problem for hypercubes
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
International Journal of Mobile Communications
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The advertisement placement problem deals with space and time sharing by advertisements on the Internet. Consider a Web page containing a rectangular display area (e.g., a banner) in which advertisements may appear. The display area can be utilized efficiently by allowing several small ads to appear simultaneously side by side, as well as by cycling through a schedule of ads, allowing different ads to be displayed at different times. A customer wishing to purchase advertising space specifies an ad size and a display count, which is the number of times their ad should appear during each cycle. The scheduler may accept or reject any given advertisement, but must be able to schedule all accepted ads within the given time and space constraints. Each advertisement has a non-negative profit associated with it, and the objective is to schedule a maximum-profit subset of ads. We present a (3 + ε)-approximation algorithm for the general problem, as well as (2 + ε)-approximation algorithms for two special cases.