The Nielsen Comapny (us), LLC

Hulu, LLC

James Theodore Bartot

Craig Bruce Horman

Christa Korol

Gregory J Lauckhart

Navdeep Singh Dhillon

David Ballantyne Christianson

Schuyler Cullen

Jason Hayes Christensen

Noah Raymond Heller

Hugh Crean

Samuel J S Fu

Techniques for selecting a digital image are disclosed. The techniques may include receiving a first set of digital images, analyzing the first set of digital images to extract first image features from each of the first set of digital images, accessing a user profile, comparing the extracted first image features to a preset list of image features, ranking each digital image of the first set, selecting each digital image having a ranking that exceeds a threshold, assigning a category to each selected digital image based on a comparison of each selected digital image to a category database of digital image categories, displaying each selected digital image with the assigned category, receiving an input from the user in response to the displaying, updating the user profile and the category database based on the input, and selecting at least one subsequent digital image based on the updated user profile and category database.

Intelligent determination of aesthetic preferences based on user history and properties

The present invention is a system, method and computer program product for tracking and measuring digital content that is distributed on a computer network such as the Internet. The system collects online advertisement data, analyzes the data, and uses the data to calculate measurements of the prevalence of those advertisements. The system processes raw traffic data by cleansing and summarizing the traffic data prior to storing the processed data in a database. An advertisement sampling system uses site selection and definition criteria and a probe map to retrieve Web pages from the Internet, extract advertisements from those Web pages, classify each advertisement, and store the data in a database. A statistical summarization system accesses the processed raw traffic data and the advertisement data in the database to calculate advertising prevalence statistics including the advertising frequency, impressions, and spending.

System and method for estimating prevalence of digital content on the world-wide-web

Growing community of inventors

Seattle, WA, United States of America

James Theodore Bartot