Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for displaying a profile from a content feed within a messaging system. The program and method provide for receiving by a messaging application, first user input corresponding to a request for a content feed, the content feed comprising a plurality of media content items; providing, in response to receiving the first user input, for display of the content feed; receiving, by the messaging application, second user input of a predefined gesture performed with respect to a first media content item of the plurality of media content items; determining, in response to receiving the second user input and based on the first media content item, to display a public profile associated with the first media content item; and providing, based on the determining, for display of the public profile.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for displaying a profile from a content feed within a messaging system. The program and method provide for receiving by a messaging application, first user input corresponding to a request for a content feed, the content feed comprising a plurality of media content items; providing, in response to receiving the first user input, for display of the content feed; receiving, by the messaging application, second user input of a predefined gesture performed with respect to a first media content item of the plurality of media content items; determining, in response to receiving the second user input and based on the first media content item, to display a public profile associated with the first media content item; and providing, based on the determining, for display of the public profile.

Systems, computer program products, and methods are described herein for preserving image and acoustic sensitivity using reinforcement learning. The present invention is configured to initiate a file editing engine on the audiovisual file to separate the audiovisual file into a video component and an audio component; initiate a convolutional neural network (CNN) algorithm on the video component to identify one or more sensitive portions in the one or more image frames; initiate an audio word2vec algorithm on the audio component to identify one or more sensitive portions in the audio component; initiate a masking algorithm on the one or more image frames and the audio component; generate a masked video component and a masked audio component based on at least implementing the masking action policy; and bind, using the file editing engine, the masked video component and the masked audio component to generate a masked audiovisual file.

Systems, computer program products, and methods are described herein for preserving image and acoustic sensitivity using reinforcement learning. The present invention is configured to initiate a file editing engine on the audiovisual file to separate the audiovisual file into a video component and an audio component; initiate a convolutional neural network (CNN) algorithm on the video component to identify one or more sensitive portions in the one or more image frames; initiate an audio word2vec algorithm on the audio component to identify one or more sensitive portions in the audio component; initiate a masking algorithm on the one or more image frames and the audio component; generate a masked video component and a masked audio component based on at least implementing the masking action policy; and bind, using the file editing engine, the masked video component and the masked audio component to generate a masked audiovisual file.

The present disclosure provides a method for cross-application processing for multimedia content, and an electronic device. The method includes: displaying first identification information over an application icon of a first application in a floating manner, where the first identification information corresponds to first multimedia content in the first application; and performing target processing on the first multimedia content through a second application in a case that a first input for moving the first identification information to an application icon of the second application is received.

The present disclosure provides a method for cross-application processing for multimedia content, and an electronic device. The method includes: displaying first identification information over an application icon of a first application in a floating manner, where the first identification information corresponds to first multimedia content in the first application; and performing target processing on the first multimedia content through a second application in a case that a first input for moving the first identification information to an application icon of the second application is received.

An online system generates a cluster group and uses membership in the cluster group as an eligibility criteria for presenting a content item. The online system receives a request from a third party system to present the content item. The online system also receives identification information about users who have visited webpages associated with the third party system and descriptive information associated with the webpages. Based on the descriptive information, the online system extracts tags for the webpages and classifies the webpages into one or more categories that include a category associated with the content item. The online system generates a seed group that includes users who visited webpages in the category associated with the content item. The online system further expands the seed group to a cluster group by applying a cluster model to one or more characteristics of each candidate user not included in the seed group.

Methods and systems for presenting a proactive audiovisual query using a virtual assistant software application. The methods correspond to retrieving user experience data associated with a user profile for the virtual assistant software application, wherein the user experience data define one or more user experience events for the user profile. The methods further include retrieving subject matter domain data associated with the one or more user experience events, wherein the subject matter domain data define one or more probabilistic event effects for the one or more user experience events and determining, based on the user experience data and the subject matter domain data, one or more optimal query items, wherein the one or more optimal query items are associated with at least one of the one or more probabilistic event effects. The methods further include generating the proactive audiovisual query in accordance with the one or more optimal query items.

Methods and systems for presenting a proactive audiovisual query using a virtual assistant software application. The methods correspond to retrieving user experience data associated with a user profile for the virtual assistant software application, wherein the user experience data define one or more user experience events for the user profile. The methods further include retrieving subject matter domain data associated with the one or more user experience events, wherein the subject matter domain data define one or more probabilistic event effects for the one or more user experience events and determining, based on the user experience data and the subject matter domain data, one or more optimal query items, wherein the one or more optimal query items are associated with at least one of the one or more probabilistic event effects. The methods further include generating the proactive audiovisual query in accordance with the one or more optimal query items.

Systems and methods are operable to notify a user of content availability. An exemplary embodiment receives a content availability notification request that specifies at least one content of interest, searches current electronic program guide (EPG) information to identify the content of interest, determines that the information identifying the specified content of interest is unavailable based upon the search of the current EPG information, generates a content availability reminder that is associated with the specified content of interest, monitors a content database to determine an availability of the specified content of interest identified in the content availability reminder, determines that the specified content of interest is available when the monitored content database indicates availability of the specified content of interest, and generates a content availability reminder notification that indicates at least a title of the specified content of interest.