methods and architecture for executing client-side caching and analytically targeted marketing for better privacy and minimal disruption

摘要

METHODS AND ARCHITECTURE TO PERFORM CUSTOMIZED MARKETING WITH CACHING AND LOCAL ANALYTICS FOR BETTER PRIVACY AND MINIMUM INTERRUPTION. Methods and architectures are revealed to execute targeted marketing in the client's applications. Operating systems and applications such as computer games, word processors, etc. are used as vehicles for displaying ads. Techniques are included that maximize the effectiveness of impressions while maintaining privacy and minimizing disruptions by performing local analysis of content and behavior. Local analysis can consider useful details of personal content and activities, but this information is kept private, on the user's machine. The information is used by local learning, reasoning and correspondence methods to select impressions of the expanded advertising content cached on the local machine. Signs about usage or activity can be returned with user confirmation and used to indicate future ad caches sent as updates.