Google Inc.

Amazon Technologies, Inc.

Symantec Corporation

Brian David Marsh

Christopher Vander Mey

David Scrymgeour Bennett

Erkki Ville Juhani Aikas

John Bradley Chen

Ethan George Russell

Stephen William Cote

Jeffrey P Bezos

Chee Heng Chew

Michael I Hyman

Amit Fulay

Jonas Erik Lindberg

Per Johan Gustafsson

Kevin Thomas Brown

Jordanna Chord

Eduardo Fernandez

Matthew Newman Shobe

Arijit Ghosh

Nikolas Clemens Gloy

Jacualyn Carol Bonnell

William Kuo-Wei Wen

David H Owens

Systems and methods generate a topic index for a conversational event and generate a content item based on the topic index. A processing device extracts a plurality of topics from a first content item corresponding to the conversational event, and generates the topic index for the conversational event. The topic index associates each of the plurality of topics with a content segment from the first content item. The method identifies a subset of one or more topics within the plurality of topics, and generates a second content item including a respective content segment of each of the one or more topics of the subset of one or more topics.

Generation of a topic index with natural language processing

A computer-implemented technique can include receiving a video chat request to initiate a video chat with at least one invitee user. The technique can include for a specific invitee user, determining a degree of notification for a specific video chat invitation for the specific invitee user, the degree of notification comprising a notification medium and a notification level each having a degree of intrusiveness, wherein determining the degree of notification is based on: (a) a number of invitee users specified by the video chat request, and (b) video chat attributes of the specific invitee user. The technique can also include outputting the specific video chat invitation to an invitee computing device associated with the specific invitee user via the determined notification medium, wherein receipt of the specific video chat invitation causes the invitee computing device to notify the specific invitee user according to the determined notification level.

Dynamic notification techniques for video chat invitations

Systems and methods are disclosed for real-time video transformations in video conferences. A method includes receiving, by a processing device, a request from a first participant of a video conference to modify a video stream. The method further includes identifying, by the processing device, a foreground and a background within the video stream. The method further includes generating, by the processing device, a modified video stream including a video or image inserted into the background.

Real-time video transformations in video conferences

A method and computing system for enabling a video conference between a plurality of video conference participants. A video feed associated with the video conference is broadcast to a plurality of viewers. A plurality of interactions are received from a plurality of submitters included within the plurality of viewers. A chosen interaction is selected from the plurality of interactions. The submitter associated with the chosen interaction is invited to join the video conference.

Video conferencing system and method

In general, this disclosure describes techniques for selecting a subset of participants to display on a display device of a computing device from a plurality of participants in a video conference. In one example, a method includes determining a participation rating for each of a plurality of participants in a video conference, wherein the participation rating is based on one or more conversation properties for each of the two or more participants. The method also includes selecting two or more participants based on the participation rating of each of the two or more participants. The method further includes displaying image data associated with the two or more selected participants on a display device of a computing device.

Selecting participants in a video conference

A system and machine-implemented method for providing access to one or more shared objects to a user participating in a collaboration session, including receiving a request from a user to receive access to one of one or more shared objects within a collaboration session, each shared object having a corresponding access control list including one or more authorized users having access to the shared object, determining whether the user has access to the one of the one or more shared objects by referencing the access control list in response to receiving the request and adding the user as an authorized user within the access control list for each of the one or more shared objects when it is determined that the user does not have access to the one of the one or more shared objects, such that the user is provided access to the one or more shared objects.

Securing user contact information in collaboration session

Techniques are described for managing various types of content in order to identify content having attributes of interest, such as based at least in part on automatically generated assessments of the reputations of authors of the content and/or of evaluators of the content. When content of sufficient interest is identified, it can then be provided to readers in various ways. In some situations, the content being evaluated and managed may include item reviews and/or how-to guides provided to a Web merchant by user authors, and in some situations may include information from blogs. Various types of awards can also be provided to authors and/or evaluators based on one or more of multiple types of reputation scores from their assessed reputations. This abstract is provided to comply with rules requiring it, and is submitted with the intention that it not reflect the limit of the scope of the claims.

Managing content based on reputation

A service monitor and a browser monitor determine performance metrics on both a server and a client in connection with a distributed application running on a network. While applicable to other types of distributed application data, an example is described in which a Web page is requested by a user running a browser program on the client computer. In response, the server transmits the requested Web page, along with JavaScript code that defines a browser monitor, to the client. A browser monitoring function controlled by this code determines a plurality of different performance metrics related to the access of Web pages by the client. In addition, the server monitor determines performance metrics specific to its function in providing the Web page to the client. A correlated performance metric is determined by combining a server performance metric with a browser performance metric.

Method and system for monitoring the performance of a distributed application

Techniques are described for managing content by identifying content that has attributes of interest (e.g., content that is useful, humorous and/or that otherwise has a sufficiently high degree of quality) and by determining how to use such identified content. In some situations, a piece of content is automatically assessed in a manner based on automatically assessed levels of trust in users who are associated with the content, such as a user who authored or otherwise supplied the content and/or users who evaluated the content. For example, an automatically assessed level of trust for a user may be based on prior activities of the user and be used to predict future behavior of the user as a supplier of acceptable content and/or as an acceptable evaluator of supplied content, such as based on prior activities of the user that are not related to supplying and/or evaluating content.

Assessing content based on assessed trust in users

A web site or other interactive service maintains user activity data reflective of the activities of its users. A failure analysis component analyzes the user activity data to automatically detect likely failure events. A failure event filtering component intelligently selects failure events for which to request feedback from the user, preferably taking into consideration information about the failure event itself and information about the particular user. Requests for user feedback, and operator responses to the user feedback messages, are preferably presented on a personal log page that also displays other types of personalized information.

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Seattle, WA, United States of America

Brian David Marsh