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AssigneeLucid Commerce, Inc.
InventorsBrendan KITTS, Dyng AU, Alfred LEE
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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.
A computer-implemented method comprising:
A system for generating a model to predict advertisement effectiveness, the system comprising:
Dependencies are inferred from the claim text.