Bradly A. Brunell

TL;DR: In this article, the authors propose an architecture for presenting advertisements in real-time in retail establishments, where a sensor component includes sensors for collecting information about a customer or group of customers as they move through the store.

TL;DR: In this paper, the authors proposed an architecture for targeted advertising using offline user behavior information, which can be collected from cell phones, geolocation systems, credit card information, restaurants, grocery stores, etc., and aggregated and employed in connection with selecting and displaying targeted advertising to a user when online.

TL;DR: In this article, the authors proposed an architecture for targeted advertising using offline user behavior information, which can be collected from cell phones, geolocation systems, credit card information, restaurants, grocery stores, etc., and aggregated and employed in connection with selecting and displaying targeted advertising to a user when online.

TL;DR: In this article, a system that incorporates a user context into a computer-based search is provided, which can identify information about a user state or context via a variety of sources and sensors.

TL;DR: A search engine can be interactively coupled with one or more social networks, and that maps individuals and groups within respective social networks to subsets of categories associated with searches.