Amazon Technologies, Inc.

Martin Christopher Hare Robertson

David Neil Turner

Keerat Singh Sharma

Alistair Francis Smith

Joe Jony Jeyaratnam

Reginald Jassal

Pramod Raghavendran

Simon Lloyd Spencer

John Kenneth Fawcett

Brian Fergus Burns

Guy Adam Taylor

Systems, methods, and computer-readable media are disclosed for automated sensitive information and data storage compliance verification. In one embodiment, an example method may include determining a software application stored at a database, determining software code of the software application, and determining that the software code includes a function that accesses critical user information. Example methods may include determining a risk score for the software application based at least in part on the function, and determining a compliance level for the software application based at least in part on the function.

Automated sensitive information and data storage compliance verification

This disclosure relates to selectively filtering seed behavior, e.g., user activity used to generate item recommendations, based on the availability of item classifications. Seed behaviors and catalog items may be associated with categories in an electronic catalog, and a particular seed behavior may be used to generate user recommendations if it is more recent than a user's last purchase in the category of the seed behavior. For example, a user's activity in the TV category, e.g., viewing various TV models, may not be used to generate recommendations if the activity occurred prior to the user's purchase of a TV. As a result, additional TVs may not appear in the user's recommendations following the purchase of a TV. However, if classification information is unavailable relating to the purchase, seed behavior may be filtered across a set of categories, not just the TV category to reduce the chance of less effective recommendations.

Behavioral filter for personalized recommendations based on behavior at third-party content sites

Systems and methods are disclosed for providing composite content, such as video content, by compositing. A template content may be received and may have one or more color blocks. One or more drop-in content sets may each have one or more drop-in content that correspond to the one or more colors of the template content color blocks. The one or more color blocks of the template content may be replaced with its corresponding drop-in content from one of the one or more drop-in content sets to generate a composite content. Furthermore, the composite content may have demographic, geographic, and/or behavioral parameters associated with it to enable targeting the composite content, such as in the form of advertisements and/or product or service recommendations, to one or more users.

Video advertisement customization by compositing

Growing community of inventors

Scotland, United Kingdom

Martin Christopher Hare Robertson