Targeting optimization for internet advertising by learning from logged bandit feedback

PUBLICATION Targeting optimization for internet advertising by learning from logged bandit feedback. Download View publication Abstract Pay-per-click advertising includes various formats (eg, search, contextual, and social) with a total investment of more than 140 billion USD per year. An advertising campaign is composed of some subcampaigns-each with a different ad-and a cumulative daily budget. The …

Targeting optimization for internet advertising by learning from logged bandit feedback Read More »

A combinatorial-bandit algorithm for the online joint bid/budget optimization of pay-per-click advertising campaigns

PUBLICATION A combinatorial-bandit algorithm for the online joint bid/budget optimization of pay-per-click advertising campaigns. Download View publication Abstract In the last two decades, online advertising has become the most effective way to sponsor a product or an event. The success of this advertising format is mainly due to the capability of the Internet channels to …

A combinatorial-bandit algorithm for the online joint bid/budget optimization of pay-per-click advertising campaigns Read More »