Patent classifications
G06F16/437
Lookalike expansion of source-based custom audience by an online system
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.
SYSTEMS AND METHODS FOR GENERATING FOR DISPLAY RECOMMENDATIONS THAT ARE TEMPORALLY RELEVANT TO ACTIVITIES OF A USER AND ARE CONTEXTUALLY RELEVANT TO A PORTION OF A MEDIA ASSET THAT THE USER IS CONSUMING
Systems and methods are provided herein for displaying recommendations that are temporally relevant to activities of a user and are contextually relevant to a portion of viewed media. This may be accomplished by a media guidance application identifying activities a user has planned, as well as respective times for which each of the plurality of activities was planned to be performed by the user. The media guidance application may filter the activities by determining which of the first plurality of activities has a corresponding respective time that is within a threshold period of time. The media guidance application may then identify characteristics of each filtered activity and of a media asset that the user is consuming at the present moment, and may compute whether the characteristics match. If the characteristics match, the media guidance application may generate for display a recommendation relating to the respective activity.
COMPLEX COMPUTING NETWORK FOR USING DATA FROM DIGITAL TRACKING AND RELAYING SYSTEMS
This disclosure is directed to a complex computing network for obtaining and using data from a transmitting system and a digital tracking and relaying system. An exemplary method comprises: receiving, from a transmitting system, a first input data associated with a registered user account; receiving, from a digital tracking and relaying system, a second input data associated with the registered user account and captured by a sensor comprised in the digital tracking and relaying system; associating at least one of the first input data or the second input data with the registered user account; associating task data with the registered user account; executing an update to the registered user account based on the first input data, second input data, or the task data; and enabling usage of the output data on a data processing platform.
System, method, and computer program for parental controls and recommendations based on artificial intelligence
A system, method, and computer program product are provided for parental controls and recommendations based on artificial intelligence. In use, using an artificial intelligence (AI) server, explicit input is received associated with a first presentation of media. Additionally, the AI server is trained based on the explicit input, and using the AI server, implicit filters are created based on the training. Further, using the AI server, the implicit filters are applied to a second presentation of the media.
Forming event-based recommendations
Systems and methods for forming collaboration recommendations. Techniques for forming event-based recommendations use time-decayed event values. A shared content management system supports a plurality of users that generate events by interacting with content objects of the shared content management system. Events over the content objects are captured as event objects. Method steps are invoked upon receiving event objects that describes user-to-object interaction events that arise from interactions by users over content objects. Different types of interactions carry different importance values. The importance values can be applied as weights when scoring user-to-object interaction activities. The importance can decay over time. As time progresses and as the importance of older interactions decay, score components of a user-to-object interaction can be updated based at least in part on a time decay function. The system emits collaboration recommendations based on the decayed user-to-user collaboration scores.
CONTENT SHARING PLATFORM PROFILE GENERATION
Systems and methods are provided receiving, from a computing device associated with a first user of a content sharing platform, a request to access a second user profile associated with a second user in the content sharing platform, accessing activity data related to both the first user and the second user in the content sharing platform, determining common activity data to both the first user and the second user, wherein the common activity data comprises at least one media content item generated by the second user that was viewed or saved by the first user, or one or more datum saved by the first user from a communication received from the second user, and generating second user profile data comprising the common activity data related to both the first user and the second user in the content sharing platform as part of the second user profile.
Extendible user profiles
Implementations described herein disclose a method, an article of manufacture, and a system for displaying user profile information using extendible user profiles for user groups. A user profile with an application user profile is maintained. A value provided by a user joining a group for a group specific field is used to override a user profile field maintained in the application user profile.
METHOD FOR RECOMMENDING WORKS AND SERVER
A method for recommending works is provided. The method includes: receiving, from a login account of an application, a recommendation request; acquiring, in response to the recommendation request, a first candidate work set of each type of a plurality of types, wherein the first candidate work set includes multimedia works posted by an associated account of the login account in the application; screening the first candidate work sets, and aggregating screening results into a second candidate work set, wherein the second candidate work set includes multimedia works of the plurality of types; and ranking multimedia works of the plurality of types in the second candidate work set, and recommending the multimedia works to the login account based on a ranking result.
Presenting content of an application
One or more computing devices, systems, and/or methods for presenting content of an application are provided. For example, a first content interface, associated with an application, may be displayed using a first device. First activity performed using the first content interface may be detected. The first activity may be analyzed to generate a first activity profile associated with the first content interface. A first request to access the application may be received from the first device. The first activity profile may be selected from a plurality of activity profiles associated with the user account, based upon a determination that the first request is associated with the first content interface. Content items of the content items database may be prioritized, based upon the first activity profile, to generate a list of content items associated with the first content interface. The list of content items may be displayed by the first device.
Task management device and task management method
In a task management device, an acquisition unit is configured to acquire vehicle information from a vehicle. A task management unit is configured to generate instruction information on priorities of a plurality of tasks executed by an in-vehicle multimedia device based on the vehicle information. A communication unit is configured to transmit to the multimedia device the instruction information for executing the task. The task management unit is configured to derive the priorities of the plurality of tasks based on the vehicle information, and to generate the instruction information on the derived priorities of the tasks.