Quantcast Corporation

Daniel Ciprian Preda

Peter William Kassakian

Separate models are built to predict the likelihood of conversion based on the presence or absence of one or more features. For example, a first model may be built to predict the likelihood of conversion of a non-converter who has never visited an advertiser's website before and a second model may be built to predict the likelihood of conversion of a non-converter who has visited an advertiser's website before. To determine which model to apply to an entity, the consumption history of the entity is searched for the presence or absence of the one or more features used to separate the models. The entity's consumption history is then scored based on the applicable model to determine the likelihood of conversion.

Growing community of inventors

Richmond, CA, United States of America

Daniel Ciprian Preda