Abstract: Systems and methods for forecasting unique user counts for advertising campaigns are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a user forecast request; determining, based on the user forecast request, campaign data associated with an advertising campaign; computing, based on at least one model and the campaign data, a total number of unique users forecasted to be reached by the advertising campaign in a future time period; generating forecasted user data based on the number of unique users; and transmitting, in response to the user forecast request, the forecasted user data to the computing device.

Abstract: Briefly, embodiments disclosed herein relate generally to on-line content sampling, and more particularly to utilization of machine learning techniques to sample on-line content in a search engine environment, for example.

Abstract: Briefly, embodiments disclosed herein relate generally to on-line content sampling, and more particularly to utilization of machine learning techniques to sample on-line content in a search engine environment, for example.

Abstract: Described herein are solutions for improving management of viewable impression based display advertising systems. For example, described herein are solutions for improving management of viewable impression based display advertising systems amongst various online marketing channels, such as search engine and guaranteed display advertising (GDA) marketing channels. The solutions can include use of a legacy GDA system and a score (e.g., a ratio) to bridge viewable impression based control and pricing and regular impression based control and pricing.

Abstract: A just-in-time advertisement supply forecasting system includes a query engine configured to receive an advertiser query specifying an advertising contract time period of a contract, an historical database having stored therein time series data for a plurality of base profiles, each time series representing previously stored samples corresponding to daily impression counts over a predetermined period of time, and a forecasting engine operatively coupled to the query engine and to the historical database, and configured to generate an impression inventory forecast to satisfy the advertiser query, where the impression inventory forecast is generated in real-time based on the time series, upon receipt of the advertising query.