Computational advertising is the problem of finding the best advertisement for a given user in a given on-line context. It is a complex and emerging area at the intersection of quantitative marketing, web search, data mining, recommendation, optimization, and algorithmic game theory. Students will read current scientific papers and explore a range of models both mathematically and empirically. Students can choose from three types of final course projects: implementation projects, research papers, or data analysis projects. Prerequisite(s): IS 467 or CSC 478 or ECT 584
IS 467 or DSC 441 or CSC 478 or ECT 584 or DSC 484 is a prerequisite for this class.