Abstract:
Techniques are described herein for automated assistants that search various alternative corpora for information. In various implementations, a method may include receiving, by an automated assistant via an input component of a first client device, a free form input, wherein the free form input includes a request for specific information; searching a general purpose corpus of online documents to obtain a first set of candidate response(s) to the request for specific information; searching a user-specific corpus of active document(s) to obtain a second set of candidate response(s) to the request for specific information; comparing the first and second sets of candidate responses; based on the comparing, selecting a given response to the request for specific information from the first or second set; and providing, by the automated assistant, output indicative of the given response.
Abstract:
Implementations disclose tagging a content item with a knowledge database. A method includes determining, using a processing device, a content item to be tagged, determining, using the processing device, an identification that is associated with the content item, the identification from a knowledge database comprising a collection of structured data corresponding to topics, tagging, using the processing device, the content item with the identification from the knowledge database, and storing, using the processing device, the content item and the identification corresponding to the tagged content item in a tag database.
Abstract:
A user device's browser receives a page from a publishing system and presents content of the page within a window. Instructions from a media hosting system cause a frame to be created within the window. The frame includes a media upload object from a media hosting system that has a different address domain that the publishing system. A communication channel is established between the window and the frame to allow messages to be exchanged. The media upload object allows a user to create a media item and upload it to the media hosting system. Throughout the process of creating and uploading the media item, the media upload object transmits one or more messages to the page via the communication channel. Based on the messages, the page responds to what is occurring within the frame.
Abstract:
A computing device executing an optimizer analyzes a video. The computing device identifies one or more optimizations for the video based on the analysis, the one or more optimizations pertaining to a modification of original contents of the video. The computing device implements the one or more optimizations for the video.
Abstract:
A computing device executing an optimizer analyzes a video. The computing device identifies one or more optimizations for the video based on the analysis. The computing device suggests the one or more optimizations to an entity associated with the video. In response to the entity accepting the one or more optimizations, the computing device implements the one or more optimizations for the video.
Abstract:
Techniques are described herein for automated assistants that proactively provide content to participant(s) of multi-participant message exchange threads (e.g., group chats, audio and/or video calls in which oral messages are transcribed for analysis, etc.) based on signals such as individual participant profiles associated with participant(s). In various implementations, automated assistant(s) that may not be explicitly invoked may analyze content of a message exchange thread involving multiple human participants and/or document(s) associated with the message exchange thread. Based on the analyzing, the automated assistant(s) may identify topic(s) pertinent to the message exchange thread. Based on individual participant profiles associated with the participants, the automated assistant(s) may identify shared interest(s) of the participants. The automated assistant(s) may then select new content based both on the pertinent topic(s) and the shared interest(s) of the participants and proactively provide the new content to one or more of the participants.
Abstract:
Techniques are described herein for automated assistants that search various alternative corpora for information. In various implementations, a method may include receiving, by an automated assistant via an input component of a first client device, a free form input, wherein the free form input includes a request for specific information; searching a general purpose corpus of online documents to obtain a first set of candidate response(s) to the request for specific information; searching a user-specific corpus of active document(s) to obtain a second set of candidate response(s) to the request for specific information; comparing the first and second sets of candidate responses; based on the comparing, selecting a given response to the request for specific information from the first or second set; and providing, by the automated assistant, output indicative of the given response.
Abstract:
A user device's browser receives a page from a publishing system and presents content of the page within a window. Instructions from a media hosting system cause a frame to be created within the window. The frame includes a media upload object from a media hosting system that has a different address domain that the publishing system. A communication channel is established between the window and the frame to allow messages to be exchanged. The media upload object allows a user to create a media item and upload it to the media hosting system. Throughout the process of creating and uploading the media item, the media upload object transmits one or more messages to the page via the communication channel. Based on the messages, the page responds to what is occurring within the frame.
Abstract:
Techniques are described herein for automated assistants that proactively provide content to participant(s) of multi-participant message exchange threads (e.g., group chats, audio and/or video calls in which oral messages are transcribed for analysis, etc.) based on signals such as individual participant profiles associated with participant(s). In various implementations, automated assistant(s) that may not be explicitly invoked may analyze content of a message exchange thread involving multiple human participants and/or document(s) associated with the message exchange thread. Based on the analyzing, the automated assistant(s) may identify topic(s) pertinent to the message exchange thread. Based on individual participant profiles associated with the participants, the automated assistant(s) may identify shared interest(s) of the participants. The automated assistant(s) may then select new content based both on the pertinent topic(s) and the shared interest(s) of the participants and proactively provide the new content to one or more of the participants.
Abstract:
A system and method for searching media storage with a knowledge database is provided. The system includes a search retrieving unit to retrieve a search request, an association retrieval unit to retrieve an association between a content item from the media storage and an identification from the knowledge database based on the search request, and an output unit to output data generated by the association retrieval unit. A method tagging a content item with a knowledge database includes determining the content item to be tagged, tagging the content item with an identification from the knowledge database, and storing the content item and the tagged identification in a tag database.