Abstract: A content promotion system includes a computing platform having a hardware processor and a system memory storing a conversational agent software code. The hardware processor executes the conversational agent software code to receive user identification data, obtain user profile data including a content consumption history of a user associated with the user identification data, and identify a first predetermined phrase for use in interacting with the user based on the user profile data. In addition, the conversational agent software code initiates a dialog with the user based on the first predetermined phrase, detects a response or non-response to the dialog, updates the user profile data based on the response or non-response, resulting in updated user profile data, identifies a second predetermined phrase for use in interacting with the user based on the updated user profile data, and continues the dialog with the user based on the second predetermined phrase.

Abstract: A content promotion system includes a computing platform having a hardware processor and a system memory storing a conversational agent software code. The hardware processor executes the conversational agent software code to receive user identification data, obtain user profile data including a content consumption history of a user associated with the user identification data, and identify a first predetermined phrase for use in interacting with the user based on the user profile data. In addition, the conversational agent software code initiates a dialog with the user based on the first predetermined phrase, detects a response or non-response to the dialog, updates the user profile data based on the response or non-response, resulting in updated user profile data, identifies a second predetermined phrase for use in interacting with the user based on the updated user profile data, and continues the dialog with the user based on the second predetermined phrase.

Abstract: According to one implementation, a system for programmatic generation of media content digests includes a computing platform having a hardware processor and a system memory storing a media content digest software code. The hardware processor executes the media content digest software code to identify a media content for use in generating a content digest, the media content including a timecode of the media content, to access a metadata describing the media content and indexed to the timecode, and to identify one or more constraints for the content digest. In addition, the hardware processor executes the media content digest software code to programmatically extract content segments from the media content using the metadata indexed to the timecode and based on the one or more constraints, and to generate the content digest based on the media content from the content segments.

Abstract: The present invention is directed to Pak1 agonists and methods of use.

Abstract: Described is a technology by which private content maintained behind a firewall (e.g., in a “mesh”) may be searched, browsed, and accessed via an index that exists outside of the firewall. Searching of the index may include checking permissions of a user against permissions associated with metadata in the index, e.g., per watch folder into which file content is added. When content is selected, e.g., by clicking on a search result, a request is made. An application polls for such requests, and when detected, pushes a copy of the content through the firewall to the requester. The search may be performed over more than one index, with aggregated search results returned.

Abstract: A network-community research service includes a research module to receive a research query from a requesting member belonging to a network community. The research module is configured to answer the research query with a ranked list of research results at least partially prioritized based on network-community activities of non-requesting members.