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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2518103698> ?p ?o ?g. }

• W2518103698 abstract "Advertising is a crucial component of marketing and an important way for companies to raise awareness of goods and services in the marketplace. Advertising campaigns are designed to convey a marketing image or message to an audience of potential consumers and television commercials can be an effective way of transmitting these messages to a large audience. In order to meet the requirements for a typical advertising order, television content providers must provide advertisers with a predetermined number of in the target demographic. However, because the number of impressions for a given program is not known a priori and because there are a limited number of time slots available for commercials, scheduling advertisements efficiently can be a challenging computational problem. In this case study, we compare a variety of methods for estimating future viewership patterns in a target demographic from past data. We also present a method for using those predictions to generate an optimal advertising schedule that satisfies campaign requirements while maximizing advertising revenue." @default.
• W2518103698 created "2016-09-16" @default.
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• W2518103698 date "2016-08-25" @default.
• W2518103698 modified "2023-09-26" @default.
• W2518103698 title "Prediction and Optimal Scheduling of Advertisements in Linear Television" @default.
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