Google Inc.

Michael Harry Lintz

Chee Heng Chew

Brett Rolston Lider

Lucian Florin Cionca

Austin Chang

Kevin Thomas Brown

Ray Su

Hariharan Chandrasekaran

Kathleen Ko

A method for selecting a user interface to be provided to one or more users of a social network, the method including steps for receiving edge information, wherein the edge information includes an indication of a number of social networking contacts with which a first user has connected in a social network, receiving frequency information, wherein the frequency information includes a number of times that the first user has interacted with the social network over a time duration and associating the first user with a first segment from among a plurality of segments, based on the edge information and the frequency information. In certain aspects, the method may further include steps for providing the first user with a first user interface, based on the first user's association with the first segment. Systems and computer-readable media are also provided.

Classifying social network users

Embodiments include identifying a plurality of communication sessions, each of the plurality of communication sessions having multiple participants. Embodiments may also include applying at least one parameter to each of the communication sessions and determining a non-adjusted value for the at least one parameter for each of the communication sessions. Embodiments may further include determining whether the at least one parameter has been assigned a predetermined weight adjustment. If the at least one parameter has been assigned a weight adjustment, adjusting the value for the at least one parameter based upon the predetermined weight assigned to each of the at least one parameter. Embodiments may include generating a combined value for each of the communication sessions based upon, at least in part, one or more of the non-adjusted value and the adjusted value and ranking each of the communication sessions based upon, at least in part, the combined value.

System and method for ranking conversations

Embodiments include storing, using one or more computing devices, at least one image associated with each of a plurality of videos. Embodiments may also include transmitting instructions configured to display a plurality of video interfaces, each of the plurality of video interfaces configured to display an initial image of one of the plurality of videos at a first time, the initial image being different at each of the plurality of video interfaces. Embodiments may also include allowing a first transition from a display of the initial image at the first time to a display of a second image at a second time at one of the plurality of video interfaces. Embodiments may further include allowing a second transition from a display of the initial image at the second time to a display of a third image at a third time at a second of the plurality of video interfaces.

System and method for transitioning video

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San Francisco, CA, United States of America

Michael Harry Lintz