Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.

Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.

Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.

Abstract: One embodiment of the present invention sets forth a technique for managing discussion topics between two users. The technique involves generating a first graphical user interface (GUI) that displays a listing of one or more users with whom a first user is associated, receiving from a first user a selection of a second user from the listing of one or more users, generating a second GUI that displays a listing of topics that corresponds to both the first user and the second user, receiving from the first user data associated with a first topic to be discussed with the second user, and adding the first topic to the listing of topics.

Abstract: One embodiment of the present invention sets forth a technique for managing discussion topics between two users. The technique involves generating a first graphical user interface (GUI) that displays a listing of one or more users with whom a first user is associated, receiving from a first user a selection of a second user from the listing of one or more users, generating a second GUI that displays a listing of topics that corresponds to both the first user and the second user, receiving from the first user data associated with a first topic to be discussed with the second user, and adding the first topic to the listing of topics.

Abstract: A representational editing system for WYSIWYG editing of editable web pages with embedded content elements. The representational editing system presents embedded content elements in an editable manner that represents their actual appearance on the web page. Typically, the representational editing system displays an image in place of the embedded content. The representational editing system enables users to modify editable attributes of embedded content in a WYSIWYG editing environment.

Abstract: A method and system for WYSIWYG editing of dynamic content on editable web pages. Generated content is content that is received periodically from a dynamic source. Generated content may be represented on an editable web page by instructions that describe how to generate the dynamic content. The generated content system presents generated elements in a non-editable manner while allowing modification of their instructions and also allowing complete editing functionality of any surrounding static content. Thus, the generated content system allows the user to include generated content in an editable web page in a way that clearly identifies the generated content during editing and still allows the user to modify the content.

Abstract: A method and system for WYSIWYG editing of dynamic content on editable web pages. Generated content is content that is received periodically from a dynamic source. Generated content may be represented on an editable web page by instructions that describe how to generate the dynamic content. The generated content system presents generated elements in a non-editable manner while allowing modification of their instructions and also allowing complete editing functionality of any surrounding static content. Thus, the generated content system allows the user to include generated content in an editable web page in a way that clearly identifies the generated content during editing and still allows the user to modify the content.

Abstract: A representational editing system for WYSIWYG editing of editable web pages with embedded content elements. The representational editing system presents embedded content elements in an editable manner that represents their actual appearance on the web page. Typically, the representational editing system displays an image in place of the embedded content. The representational editing system enables users to modify editable attributes of embedded content in a WYSIWYG editing environment.

Abstract: A system for editing a web page includes receiving the web page in a normalized form, where the normalized form is independent of any browser form. The page may be displayed to a user, where the web page has been translated from the normalized form to a browser-dependent form, and editable by the user. The web page may be a Wiki or collaborate web page. Overall, described in detail above is a unified editing system for editing a collaborative web page is described. The collaborative web page having a normalized form that is independent of any browser form. The system displays the collaborative web page that has been translated from the normalized form to a browser-dependent form to a user, wherein the browser-dependent form of the collaborative web page is editable by a user. The unified editing system receives from the user the edited collaborative web page in the browser-dependent form. Other features and aspects of the invention are also disclosed.