Abstract: A video community system that provides conversation videos to a member who is one of a plurality of community members. The system can include a conversation video storage medium that stores conversation videos that are each associated with one of a plurality of thematic content events; and a member interface that couples the video community system to a plurality of user devices. The member interface receives a user request from the requesting community member for a conversation video that is associated with a particular thematic content event. In response, the video community system accesses the conversation video from the conversation video storage medium that is associated with the particular thematic content event identified in the user request. The video community system communicates the accessed conversation video and at least a portion of the particular thematic content event to the requesting community member's device for concurrent display.

Abstract: Systems and methods of emulating a conversation about a thematic content event are disclosed. An exemplary embodiment receives a member dialogue video from a community member who is a member of a plurality of community members, wherein the member dialogue video includes video and audio portions, and wherein the member dialogue video expresses at least one of a personal opinion and a personal viewpoint about the thematic content event; generates dialogue text from the audio portion of each received member dialogue video, wherein the dialogue text comprises words and phrases spoken by the community member in the member dialogue video; receives a modified thematic content event; compares the words and phrases of the dialogue text with the plurality of keywords; and associates at least one portion of the member dialogue video having the words and phrases of the dialogue text that match with the matching keyword of the anchor point.

Abstract: A computing device is programmed to receive, first and second user indicia of interest for media content. The computing device is further programmed to receive first user data related to a media content item. Based at least in part on the first and second user indicia of interest and the first user data, the computing device is further programmed to generate output that the first user recommend the media content item to the second user.

Abstract: Devices, systems and processes for providing an adaptive audio environment are disclosed. For an embodiment, a system may include a wearable device and a hub. The hub may include an interface module configured to communicatively couple the wearable device and the hub and a processor, configured to execute non-transient computer executable instructions for a machine learning engine configured to apply a first machine learning process to at least one data packet received from the wearable device and output an action-reaction data set and for a sounds engine configured to apply a sound adapting process to the action-reaction data set and provide audio output data to the wearable device via the interface module.

Abstract: Various embodiments facilitate the creation and presentation of a virtual experience. In one embodiment, the virtual experience is assembled from user model data corresponding to a three-dimensional representation of a user, user movement data corresponding to at least one movement characteristic of the user, user voice data corresponding to at least one vocal characteristic of the user, environment data corresponding to a three-dimensional representation of a location, and event data corresponding to a captured event at the location. The virtual experience is a virtual recreation of the captured event at the location, with the three-dimensional representation of the user, the vocal characteristic of the user, and the movement characteristic of the user inserted into the captured event.

Abstract: Devices, systems and processes for providing an adaptive audio environment are disclosed. For an embodiment, a system may include a wearable device and a hub. The hub may include an interface module configured to communicatively couple the wearable device and the hub and a processor, configured to execute non-transient computer executable instructions for a machine learning engine configured to apply a first machine learning process to at least one data packet received from the wearable device and output an action-reaction data set and for a sounds engine configured to apply a sound adapting process to the action-reaction data set and provide audio output data to the wearable device via the interface module. The audio output data may be utilized by the wearable device to provide an adaptive audio environment.

Abstract: A computing device is programmed to receive, first and second user indicia of interest for media content. The computing device is further programmed to receive first user data related to a media content item. Based at least in part on the first and second user indicia of interest and the first user data, the computing device is further programmed to generate output that the first user recommend the media content item to the second user.

Abstract: Various embodiments facilitate the creation and presentation of a virtual experience. In one embodiment, the virtual experience is assembled from user model data corresponding to a three-dimensional representation of a user, user movement data corresponding to at least one movement characteristic of the user, user voice data corresponding to at least one vocal characteristic of the user, environment data corresponding to a three-dimensional representation of a location, and event data corresponding to a captured event at the location. The virtual experience is a virtual recreation of the captured event at the location, with the three-dimensional representation of the user, the vocal characteristic of the user, and the movement characteristic of the user inserted into the captured event.

Abstract: First and second speech data can be received from respective first and second devices. The first and second speech data can be determined to be from a same dialog. A link can be generated based on the dialog.

Abstract: A computing device is programmed to receive data collected from communications of a user. The computer identifies portions of the collected data including a keyword selected from a list of media content elements or lists of keywords associated with each of the media content elements. The computer associates each portion with a media content element. The computer further determines a score for each media content element based on at least one of the number of references, words included in the portion of collected referring to the media content element, and the voice quality of the portion of collected data referring to the media content element. Based on the scores, the computer assigns media content elements to the user. The computer recommends media content items to the user based at least in part on the media content elements assigned to the user.

Abstract: First and second speech data can be received from respective first and second devices. The first and second speech data can be determined to be from a same dialog. A link can be generated based on the dialog.

Abstract: A computing device is programmed to receive data collected from communications of a user. The computer identifies portions of the collected data including a keyword selected from a list of media content elements or lists of keywords associated with each of the media content elements. The computer associates each portion with a media content element. The computer further determines a score for each media content element based on at least one of the number of references, words included in the portion of collected referring to the media content element, and the voice quality of the portion of collected data referring to the media content element. Based on the scores, the computer assigns media content elements to the user. The computer recommends media content items to the user based at least in part on the media content elements assigned to the user.

Abstract: Examples of the present disclosure describe systems and methods for intelligent ad-based routing. In example aspects, a destination input, desired time for arrival, and user profile data is received in a ride-sharing application. The input data is classified by applying one or more machine-learning models to the data. Based on the classified data results, candidate physical advertisement locations may be selected along a certain route. Different types of routes may be selected that range from the shortest possible route (i.e., a direct route) to a major detour (i.e., the most cost-effective route). A major detour takes the user on a route that exposes the user to as many advertisements as possible while still arriving at the final destination before the desired time of arrival. In exchange for a longer route and more exposure to physical advertisements, the cost of the ride may be offset.

Abstract: Examples of the present disclosure describe systems and methods for automated battery replacement. In example aspects, a notification is transmitted to a central hub from an IoT device, alerting the central hub of battery status information. Based on the battery status information, a robot may be deployed from the hub to replace the battery or batteries on the IoT device. The robot may be land-based, air-based, or sea-based, among other configurations and combinations. The robot may engage the IoT device by connecting an external power source, which triggers an authentication procedure to verify the authenticity of the IoT device and the robot. Upon successful authentication, the main battery compartment hatch may be opened. In some example aspects, the main battery compartment hatch is controlled using magnets (e.g. electromagnets). A successful authentication process may result in a change of magnetic force, which may cause the battery compartment hatch to open.

Abstract: Systems and methods of emulating a conversation about a thematic content event are disclosed. An exemplary embodiment receives a member dialogue video from a community member who is a member of a plurality of community members, wherein the member dialogue video includes video and audio portions, and wherein the member dialogue video expresses at least one of a personal opinion and a personal viewpoint about the thematic content event; generates dialogue text from the audio portion of each received member dialogue video, wherein the dialogue text comprises words and phrases spoken by the community member in the member dialogue video; receives a modified thematic content event; compares the words and phrases of the dialogue text with the plurality of keywords; and associates at least one portion of the member dialogue video having the words and phrases of the dialogue text that match with the matching keyword of the anchor point.

Abstract: A computing device includes program instructions to select, based on indicia of interest for media content for each of a plurality of users, a first user and second user to engage in an interaction related to a media content item. The computing device further includes programming to select a topic related to the media content item for the interaction and initiate the interaction between the first and second user based on the topic.

Abstract: Systems and methods of emulating a conversation about a thematic content event are disclosed. An exemplary embodiment receives a member dialogue video from a community member who is a member of a plurality of community members, wherein the member dialogue video includes video and audio portions, and wherein the member dialogue video expresses at least one of a personal opinion and a personal viewpoint about the thematic content event; generates dialogue text from the audio portion of each received member dialogue video, wherein the dialogue text comprises words and phrases spoken by the community member in the member dialogue video; receives a modified thematic content event; compares the words and phrases of the dialogue text with the plurality of keywords; and associates at least one portion of the member dialogue video having the words and phrases of the dialogue text that match with the matching keyword of the anchor point.

Abstract: A computing device includes program instructions to select, based on indicia of interest for media content for each of a plurality of users, a first user and second user to engage in an interaction related to a media content item. The computing device further includes programming to select a topic related to the media content item for the interaction and initiate the interaction between the first and second user based on the topic.

Abstract: Devices, systems and processes for providing an adaptive audio environment are disclosed. For an embodiment, a system may include a wearable device and a hub. The hub may include an interface module configured to communicatively couple the wearable device and the hub and a processor, configured to execute non-transient computer executable instructions for a machine learning engine configured to apply a first machine learning process to at least one data packet received from the wearable device and output an action-reaction data set and for a sounds engine configured to apply a sound adapting process to the action-reaction data set and provide audio output data to the wearable device via the interface module. The audio output data may be utilized by the wearable device to provide an adaptive audio environment.

Abstract: A system includes a computing device including a processor programmed to receive data identifying a mental state of a user, the data including at least one of a user physical condition and a user communication. Based on the mental state data, the processor is programmed to assign one or more stored keywords to the user, and provide media content to the user based on the keywords assigned to the user based on the mental state data.