Vertebrae Inc.

Bazaarvoice, Inc.

Garrett Eastham

Tyler John Lindberg

Keith Cody Rives

Vincent Thomas Cacace

Kwun Yin Choy

Micah Saiger

Blaise Thomas

Andrew Chen

Oliver Wong

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for presenting an augmented reality presentation. One of the methods includes receiving data for a web page associated with a uniform resource indicator and including data for augmented reality presentations. An augmented reality presentation is selected for the web page, and automatically presented using the data for the augmented reality presentation, and data from a camera included in a mobile device. After automatically presenting the augmented reality presentation, data is received indicating that the augmented reality presentation should end. After receiving the data indicating that the augmented reality presentation should end, the web page is presented.

Augmented reality presentation using a uniform resource identifier

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing three-dimensional models. One of the methods includes determining, for a three-dimensional model of an object to be optimized, a plurality of points on the object that each have at least a threshold likelihood of being a focal point, the object having two or more regions each of which include one or more textures, one or more meshes, or both; identifying, from the two or more regions, one or more non-focal regions that i) each do not include any of the plurality of points, and ii) are a proper subset of the two or more regions; generating, using the one or more non-focal regions, an optimized three-dimensional model for the object with a smaller size less than a larger size of the three-dimensional model; and storing the optimized three-dimensional model in a non-volatile memory.

Three-dimensional model optimization

Techniques for collecting data indicative of one or more browsing behaviors (e.g., completing a transaction on a website) are described. User generated content (UGC) that affects user behavior may be identified, such as product reviews that, if read by a user, are statistically more likely to cause that user to make a purchase. A metric may be assigned to particular user generated content, where the metric indicates an extent to which the particular user generated content is associated with a particular browsing behavior. Based on the assigned metric, particular UGC may be included in a web page. For example, the product review that is most likely to cause a user to make a purchase may be placed in a prominent location on a web page in order to increase sales and revenue. Browsing behaviors may be positive or negatively associated, and metrics assigned to UGC may be based on visibility.

Identifying and assigning metrics to influential user generated content

Growing community of inventors

Austin, TX, United States of America

Garrett Eastham