Microsoft Technology Licensing, LLC

Ola Lavi

Benny Schlesinger

Nir Levy

Aleksander Øhrn

Erez Altus

Shira Weinberg Harel

Ori Barak

Omri Dvir

Avi Sagiv

Dana Porter Rubinshtein

Technology is disclosed for selecting at least one icebreaker people highlight, with respect to a person of interest in a target group, to be shown on one or more user devices. The target group is determined, along with a set of feature values in common among the target group. Similarly, a reference group related to the target group is determined, along with a set of feature values for the reference group. For each feature value in the set of common target group feature values, a frequency of the feature value with respect to the determined reference group is determined. Based on the determined frequency, at least one icebreaker people highlight from the determined set of feature values in common among the target group is caused to be presented on the user device.

Intelligent selection and presentation of icebreaker people highlights on a computing device

Control and access of digital files for three dimensional (3D) model printing are supported by an authorized 3D model marketplace. At a system providing the 3D model marketplace, a 3D model file catalog can be searched using a search input that may be at least one image to identify possible results. At least two options for a specific result of the possible results can be available. The at least two options can include an original quality 3D model file and a degrade option 3D model file. The degrade option 3D model file may represent a lower quality or altered version of the original quality 3D model file and can be generated from the original quality 3D model file upon selection of the degrade mode option.

Control and access of digital files for three dimensional model printing

A conversation assistance resource system is provided to connected a user to a resource based on a predicted user need. The conversation assistance resource system monitors user signals relative to a user profile associated with the user. The user profile is based on previously received user signals and includes user preferences, interests, etc. A user need is predicted based on a received user signal. A resource is identified based on the predicted user need and the user profile relative to the resource profile. A communication channel is established between the user and the resource responsive to confirmation by the parties such that the user may query the resource to resolve the predicted user need.

Matching a resource with a user for a predicted user need

Growing community of inventors

Herzliya, Israel

Ola Lavi