John Platt

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 present an architecture for the creation and processing of reputation data for entities such as websites, users, hardware, software, documents, objects and facts, such that the reputation of websites provides a metric in connection with ranking of search results as well as enhancing delivery of meaningful and accurate information to users.

TL;DR: In this paper, a method and apparatus for organizing media objects in a database using contextual information for a media object and known media objects, categories, indexes and searches, to arrive at an inference for cataloging the media object in the database is presented.

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 paper, a system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided, which can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity.