GRANULAR DATA FOR BEHAVIORAL TARGETING

摘要

A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

主权项

1. A method to target an advertisement to a user, the method comprising:
receiving a plurality of events, wherein an event comprises an instance of online activity between the user and at least one website; processing the events to determine content of each event; generating, by a computer, data comprising a plurality of input features by grouping the events into one or more clusters based on the content of each event, wherein each cluster corresponds to a unique input feature; generating at least one predictive model, based on a machine-learning model, to determine a likelihood of an input action by the user based on the clusters; and targeting the advertisement to the user based on the predictive model.