Abstract: An online system includes a method for selecting influential users of the online system to be presented with content items. The online system receives input from a third party system specifying the type of users that the content items should be presented to. Based on this input, the online system identifies one or more subject users of the online system as candidates to present the content items to. By comparing the actions of a subject user with the actions of one or more users of the online system determined to be closely correlated with the subject user, the online system determines the expected influence of the subject users. The influence of the subject users is used to determine which users to present the content item to.

Abstract: Systems, methods, and non-transitory computer readable media are configured to receive emoji query text. The emoji query text can be in a first language. One or more emojis that satisfy the query text can be returned. The one or more emojis can include at least one emoji which corresponds to a second language different than the first language. Factor values of one or more factors can be calculated. The calculation can be for each of the one or more emojis. Some or all of the one or more emojis can be provided for presentation. The presentation can be based on a ranking of the one or more emojis.

Abstract: An online system stores information describing delivery of content items to users. The information includes a time of delivery and a content item type for each content item delivered. The system receives a new content item from a content provider for distribution. The system extracts a new feature vector from the new content item. The new feature vector includes a content item type of the new content item. The system provides the new feature vector to a machine learning model, which generates a predicted performance metric for the new content item for each of several time periods based on the new feature vector. The system sends, to the content provider, the generated predicted performance metrics. The system receives, from the content provider, a selection of time periods for delivering the new content item.

Abstract: An online system monitors actions performed by users of the online system in association with being presented with content items that are associated with various categories. A histogram may be generated to describe a pattern of an action previously performed by a user in response to being presented with content items associated with a category. The online system trains a model to predict a likelihood that the user will perform the action in response to being presented with a content item associated with the category based on the pattern of the action previously performed by the user and information describing one or more recent performances of the action by the user with a content item associated with the category. The predicted likelihood may be included in a content selection process that selects one or more content items for presentation to the user.

Abstract: An online system analyzes broadcast content viewed by individuals in a household. Each individual in the household is associated with a client device on which a software application module is executed. When the software application module detects one or more broadcasting signals of a content item broadcasted to the household, the software application module records the ambient audio, including audio from the broadcasting device. The software application module sends an identifier of the individual associated with the client device, an ambient audio fingerprint derived from the recorded ambient audio, and time information for the recorded ambient audio to the online system. The online system, based on the ambient audio data, identifies the corresponding individual and content item and logs an impression for the content item upon determination that there was an impression of the identified content item by the identified individual.

Abstract: A method of operation of a computing system includes: receiving a request for representing the request from a user; generating a request profile based on the request for processing the request; determining a matching expert with a control unit for the request based on the request profile and based on member profiles for representing members; and communicating the request for the matching expert.

Abstract: A social networking system maintains content items associated with various topics. Each topic may be associated with a start time and/or an end time defining a time range during which content items associated with the topic are most likely to be relevant to social networking system users. The start time and/or end time associated with a topic may be based on information received from a user of the social networking system or on the occurrence of an event. The social networking system computes a score indicating a predicted affinity of a viewing user of the social networking system for each content item eligible for presentation to the viewing user and adjusts the affinity score based on a start time and/or an end time of an associated topic. One or more content items are selected for presentation to the viewing user based on the affinity score associated with each content item.

Abstract: An online system customizes content items to be displayed on electronic displays. The electronic displays may be located at a venue with a large amount of foot traffic from users such as a park, airport, restaurant, shopping center, or airport. The system receives information from an electronic display describing users in vicinity of, or interacting with, the electronic display. For instance, the electronic display receives information from client devices of the users or by using sensors such as a camera that captures images of the users. Additionally, the system may receive interaction data generated by a touchscreen device of the electronic display. Based on the received information, the online system can select content items that are customized based on the interests of the users. The online system can also provide customized content items for display on a user's client device based on the user's interaction with an electronic display.

Abstract: A method of operation of a navigation system includes: determining a travel context with a control unit based on a context factor; generating a content metadata based on extracting a corresponding instance of the context factor from a media content; generating a delivery content based on the travel context, the content metadata, or a combination thereof for selecting the media content relevant to the travel context; and generating multiple instances of a delivery sequence wherein each of the delivery sequence different from one another by including a different instance of the delivery content for tailoring the delivery sequence for each of a user profile traveling together within the travel context for presenting on each of a device of the user profile.

Abstract: An online system analyzes broadcast content viewed by individuals in a household. Each individual in the household is associated with a client device on which a software application module is executed. When the software application module detects one or more broadcasting signals of a content item broadcasted to the household, the software application module records the ambient audio, including audio from the broadcasting device. The software application module sends an identifier of the individual associated with the client device, an ambient audio fingerprint derived from the recorded ambient audio, and time information for the recorded ambient audio to the online system. The online system, based on the ambient audio data, identifies the corresponding individual and content item and logs an impression for the content item upon determination that there was an impression of the identified content item by the identified individual.

Abstract: A navigation system comprising of a control circuit configured to determine a targeted exchange for identifying a product or a service associated with the initiating request, determine a geofence goal associated with the targeted exchange for representing a condition regarding the product or the service, and generate a dynamic tailored-geofence including a shape for satisfying the geofence goal associated with the targeted exchange; and a storage circuit, coupled to the control circuit, configured to store the dynamic tailored-geofence.

Abstract: In one embodiment, a method includes accessing lookalike data in response to a search query, wherein the lookalike data is associated with lookalike users with respect to the querying user, wherein the querying user corresponds to a first user-vector, the lookalike users being selected from a plurality of second users of an online social network that each correspond to a plurality of second user-vectors, wherein each dimension of the user-vector corresponds to a social-networking trait of the respective user. Each second user is selected based on a vector similarity between the querying user-vector and the second-user vector. The method further includes calculating, by a machine-learning model associated with the querying user, a relevancy score for each of the identified content objects, wherein the relevancy score is based on one or more prior interactions of one or more of the lookalike users with content objects associated with the online social network.

Abstract: A method of operation of a navigation system includes: determining a destination; determining a target arrival time for traversing to the destination; generating a preferred route based on the target arrival time for arriving at the destination using the preferred route at or before the target arrival time; and communicating the preferred route for providing navigational guidance to the destination.

Abstract: A method of operation of a navigation system includes: determining a similarity level based on comparing a plurality of a point of interest (POI) record; generating a record cluster based on the similarity level for grouping the plurality of the POI record; and generating an exemplary POI based on the record cluster for displaying on a device.

Abstract: Information for an advertising campaign received by an online system includes one or more advertisements for presentation to one or more users of the online system, and specifies at least one conversion event for the one or more advertisements in the ad campaign. An advertisement is selected from the advertising campaign as a candidate advertisement for presentation to a viewing user of the online system. The online system obtains information that that the viewing user performed a conversion event specified in the ad campaign. Responsive to determining that the viewing user performed the conversion event specified in the ad campaign, the online system blocks the selected candidate advertisement from being eligible for presentation to the viewing user.

Abstract: Information for an advertising campaign is received that includes one or more advertisements for presentation to one or more users of an online system. A strong interest feature domain is generated for each user of the online system. A set of related items is obtained, wherein each item in the set is associated with an action conducted by the one or more users. It can be determined that a viewing user of the online system has interacted with at least one item in the set of related items, and the generated interest feature domain for the viewing user includes an interest feature domain specified in the advertising campaign. Responsive to the determination, an advertisement is selected for presentation to the viewing user.

Abstract: In one embodiment, a method includes receiving from a first user a text query inputted by the first user using an I/O device associated with the client system, the I/O device including a first keyboard layout. The method also includes identifying one or more physical-proximity phrases corresponding to the text query based at least in part on the first keyboard layout and calculating a confidence score for each of the identified physical-proximity phrases based at least in part on a search history of the first user. The method also includes identifying one or more objects, where each identified object matches at least one of the identified physical-proximity phrases having a confidence score greater than a threshold confidence score and sending to the first user one or more search results corresponding to one or more of the identified objects, respectively.

Abstract: A method of operating a communication system includes: receiving a conditional communication for communicating the conditional communication from a sender to a receiver; determining with a control circuit a delivery condition for communicating the conditional communication to the receiver based on the sender; and communicating the conditional communication based on the delivery condition.

Abstract: An online system receives content items including targeting criteria and associated with objects presented via video content. When the online system presents video content to a user, the online system detects objects included in the video content. If the online system detects an object in the video content matching an object associated with a content item, the online system determines whether characteristics of the user satisfy at least a threshold amount of targeting criteria included in the content item. In response to characteristics of the user satisfying the threshold amount of targeting criteria included in the content item, the online system includes the content item in one or more selection processes. If the selection processes select the content item, the online system presents the content item in conjunction with the video content.

Abstract: A method of operation of a navigation system includes: determining a user orientation for representing a system user; capturing an external image based on the user orientation; determining with a control circuit a sign-content estimate from the external image based on the user orientation; and communicating an augmented output for representing a physical sign captured in the external image.