International Business Machines Corporation

Airbnb, Inc.

Richard A Gebhardt

Rohit Pradeep Shetty

Nixon Cheaz

ChunHui Yang Higgins

William Patrick Higgins

Anthony M Diaz

Peter J Parente

Christopher A Maul

Ke Zhu

Deanna M Shaw

Ashrith Shetty

Techniques are described for collecting customer data through a software application in order to optimize registration form to maximize registration success rates, based on a user engagement score related to user's interest, needs, registration behavior patterns, and source of user. In some examples, a method includes evaluating user data indicating interactions of a user with a software application. The method further includes determining a user engagement score for the user based at least in part on the user data. The method further includes determining, based at least in part on the user engagement score, a number and a type of one or more registration fields. The method further includes outputting the one or more registration fields to a display device based at least in part on a triggering event.

Optimizing registration fields with user engagement score

According to one embodiment, a method, computer system, and computer program product for cloud integration for autonomous vehicles is provided. An embodiment may include receiving a location for the autonomous vehicle from a global positioning system, may also include determining a rule area in which the autonomous vehicle is located based on the received location, may include identifying a traffic rule set associated with the determined rule area, may also include, in response to determining that the identified traffic rule set is not available for the determined rule area, transmitting a manual mode alert to a user, and may include enabling a manual mode in the autonomous vehicle.

Using cloud-based traffic policies to alleviate issues with cross geographic traffic in autonomous vehicles

A method for identifying a user of a website as a potential customer and presenting the potential customer with enhanced website content includes: identifying that a user has landed on the website; identifying a user traffic-source; determining if the identified traffic-source matches a traffic-source in a list of customer-based reference traffic-sources; identifying a specific user behavior pattern on the website; determining if the identified specific user behavior pattern matches a behavior pattern from a list of customer-based reference behavior patterns; identifying the user as a potential customer if the identified traffic-source matches a traffic-source in a list of reference traffic sources and the identified specific user behavior pattern matches a behavior pattern from a list of reference behavior patterns; and displaying enhanced content tailored to the potential customer based upon the specific user behavior pattern or excluding display of enhanced content to the user if not a potential customer.

System and method for identifying true customer on website and providing enhanced website experience

A camera selection system and method for automatically selecting an appropriate camera to use for capturing photos and videos is provided. The method includes the steps of detecting that a camera application has been opened, activating a first camera and a second camera of the mobile device, analyzing a feed received from the first camera and a feed received from the second camera to detect whether a face is present in a field of view of the first camera or the second camera, determining that the user intends to use the first camera based on a detection of the face in the field of view of the first camera, deactivating the second camera in response to the determining and displaying the feed received from the first camera on the main display of the mobile device for viewing by the user while using the camera application.

Automatic selection of a camera based on facial detection

Detection of an image obstruction is facilitated by, in part, obtaining multiple frames of an image being captured via an imaging device, and confirming movement of the imaging device between the multiple frames. The movement causes perspective shifting of the image between frames and the perspective shifting results in one or more objects of the image shifting between frames. The detection process determines whether an edge object within the multiple frames does not shift in a manner corresponding to the one or more objects between the multiple frames, and based, at least in part, on determining that the edge object does not shift in the corresponding manner to the one or more objects, identifying the edge object as an image obstruction. Presence of the identified image obstruction is signaled to facilitate corrective action being taken.

Growing community of inventors

Durham, NC, United States of America

Richard A Gebhardt