Television is the largest advertising category in the United States with over 65 billion spent by advertisers per year. A variety of different targeting algorithms are compared, ranging from the traditional age-gender targeting methods employed based on Nielsen ratings, to new approaches that attempt to target high probability buyers using Set Top Box data. The performance of these different algorithms on a real television campaign is shown, and the advantages and limitations of each method are discussed. In contrast to other theoretical work, all methods presented herein are compatible with targeting the existing 115 million Television households in the United States and are implementable on current television delivery systems.
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机译：电视是美国最大的广告类别，每年广告商花费超过650亿。比较各种不同的靶向算法，从基于Nielsen评级采用的传统年龄 - 性别靶向方法，以尝试使用Set Top Box数据瞄准高概率买家的新方法。显示了在实际电视广播上的这些不同算法的性能，并讨论了每个方法的优点和限制。与其他理论上的工作相比，这里呈现的所有方法都与目标符合美国的现有1.5亿电视家庭，并可在当前的电视传送系统上实施。
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