Abstract: 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.

Abstract: The disclosed computing device may include electronic components, at least one of which is a processor. The computing device may also include a heat sink thermally coupled to the electronic components, as well as a temperature sensor that determines the current temperature inside the computing device. The computing device may further include a controller. The processor may generate a load schedule for the electronic components based on the current temperature inside the computing device. This load schedule ensures that a maximum temperature for the heat sink is not exceeded even when the total system power load exceeds, for a short period of time, the maximum sustainable power level the heat sink can dissipate. The controller may then load the electronic components according to the generated load schedule. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for selectively rendering augmented reality content based on predictions regarding a user's ability to visually process the augmented reality content. For instance, the disclosed systems can identify eye tracking information for a user at an initial time. Moreover, the disclosed systems can predict a change in an ability of the user to visually process an augmented reality element at a future time based on the eye tracking information. Additionally, the disclosed systems can selectively render the augmented reality element at the future time based on the predicted change in the ability of the user to visually process the augmented reality element.

Abstract: A processor system comprises a plurality of processing elements. Each processing element includes a corresponding convolution processor unit configured to perform a portion of a groupwise convolution. The corresponding convolution processor unit determines multiplication results by multiplying each data element of a portion of data elements in a convolution data matrix with a corresponding data element in a corresponding groupwise convolution weight matrix. The portion of data elements in the convolution data matrix that are multiplied belong to different channels and different groups. For each specific channel of the different channels, the corresponding convolution processor unit sums together at least some of the multiplication results belonging to the same specific channel to determine a corresponding channel convolution result data element.

Abstract: An online system, such as a social networking system, generates shared models for one or more clusters of categories. A shared model for a cluster is common to the categories assigned to the cluster. In this manner, the shared models are specific to the group of categories (e.g., selected content providers) in each cluster while requiring a reasonable computational complexity for the online system. The categories are clustered based on the performance of a model specific to a category on data for other categories.

Abstract: A trigger signal provided via a pulse-per-second input port of a network interface controller is detected. In response to the trigger signal, an internal hardware clock value of the network interface controller is recorded. The recorded internal hardware clock value is reported, wherein the reported internal hardware clock value is reported for use in determining a timing error of the network interface controller based at least in part on a comparison with a time value of another device that also received the trigger signal.

Abstract: A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.

Abstract: Data specifying a first segment of a set of clients and first configuration parameters can be received. The first configuration parameters can specify operation of a first interface. The first interface can be integrated into an application. The first segment, including a first subset of the set of clients, can be determined. A request for initiation of operation can be received from the first interface. The first segment can be determined to include a first client. The first configuration parameters can be transmitted. The first configuration parameters can cause the first client to modify operation of the first interface in response to receiving the transmitted configuration parameters. Related apparatus, systems, techniques and articles are also described.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a content item being posted to a social networking system. A selection of an option to obfuscate at least one portion of the content item can be determined. The at least one portion of the content item can be obfuscated.

Abstract: An online system predicts whether a location will experience a threshold increase in traffic over the location's historical average amount of traffic. To predict a future deviation over historical traffic, the online system identifies events within a threshold distance of the location and determines an average number of indications that users will attend events within a threshold radius of the location during a prior time interval. The online system determines a total number of indications that users will attend future events within the threshold distance of the location, disregarding locations associated with less than a threshold number of future events and future events for which the online system received less than a threshold number of indications that users will attend, and determines a ratio of the total number of indications to the average number of indications that users will attend received for the prior events during the time interval.

Abstract: Techniques for enhancing group communication on a device are described. A method may include presenting a message in a message portion of a user interface (UI) for a group communication application executing on a first device, where the group communication application communicates messages among multiple devices. The method may further include monitoring an input component for the first device and detecting a first control directive from the input component. The first control directive may select a message displayed in the message portion of the user interface. The method may further include performing a pin operation on the selected message; and presenting the pinned message in a banner portion of the UL Other embodiments are described and claimed.

Abstract: In one embodiment, a method includes receiving a request to determine whether to perform an action, wherein the action is based on one or more feature values, generating a prediction of whether to perform the action, wherein the prediction is generated using a machine-learning model that is trained based on the feature values, a heuristic value based on the feature values, and one or more feedback scores based on corresponding past predictions generated by the machine-learning model, where the heuristic value indicates whether to perform the action based on one or more predetermined conditions that are based on the feature values, performing the action when the prediction indicates that the action is to be performed, receiving a feedback score that indicates a level of effectiveness of the prediction, and updating the machine-learning model based on the feedback score, the feature values, and the heuristic value.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of candidate training items for training an early stage model in a multi-stage recall optimization model, wherein the multi-stage recall optimization model comprises the early stage model and a target model. A random subset of the candidate training items is selected from the set of candidate training items. For each training item in the subset of candidate training items, a score is determined based on the target model. Each training item in the subset of candidate training items is labeled with a label based on a probability of the training item being a top-K of the set of candidate training items had the set of candidate training items been scored based on the target model.

Abstract: The disclosed IC package may include (1) an IC die carrying electronic circuitry, (2) an encapsulation material that at least partially covers the IC die, where the encapsulation material defines a plurality of cavities in a top surface of the encapsulation material, (3) a plurality of microfans located in the plurality of cavities, and (4) a plurality of sensors embedded in the encapsulation material, where each sensor of the plurality of sensors produces a signal indicating a temperature at a location of the sensor. Various other IC packages, as well as associated cooling systems and methods, are also disclosed.

Abstract: Techniques for enhancing group communication on a device are described. A method may include presenting a message in a message portion of a user interface (UI) for a group communication application executing on a first device, where the group communication application communicates messages among multiple devices. The method may further include monitoring an input component for the first device and detecting a first control directive from the input component. The first control directive may select a message displayed in the message portion of the user interface. The method may further include performing a pin operation on the selected message; and presenting the pinned message in a banner portion of the UL Other embodiments are described and claimed.

Abstract: The disclosed computer-implemented method may include (1) providing a plurality of media content groups, where each media content group includes a plurality of media content items, (2) providing a plurality of group indicators, where each group indicator corresponds with one of the media content groups, (3) providing a first navigational path linking the group indicators sequentially, (4) providing, for each media content group, a second navigational path linking the media content items of the corresponding media content group sequentially, (5) providing, for each media content group, a group entry point linking to one of the media content items of the corresponding media content group, and (6) presenting a graphical user interface that facilitates access to the media content items, and to the group indicators, using the first navigational path, the second navigational paths, and the group entry points. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: One or more embodiments of the disclosure include a digital merchant content system that creates one or more custom merchant content interfaces. In particular, in one or more embodiments, the digital merchant content system generates custom merchant content interfaces based on a custom merchant content template. The digital merchant content system can generate custom merchant content templates comprising unpopulated product display layouts. Moreover, in one or more embodiments, the digital merchant content system receives a product feed and generates a custom merchant content interface by populating the unpopulated product display layouts based on the custom merchant content template and the product feed.

Abstract: In one embodiment, a method includes receiving a user request to create a reminder from a client system associated with a user, wherein the user request does not specify an activation-condition for the reminder, determining one or more proactive activation-conditions for the reminder, storing the reminder in a reminder store, receiving one or more inputs associated with the user, determining a user context associated with the user based on the one or more inputs, determining the one or more proactive activation-conditions for the reminder are satisfied based on the user context, and sending instructions for presenting the reminder to the user to the client system responsive to determining the one or more proactive activation-conditions are satisfied.

Abstract: In one embodiment, a computing system may receive a request for an optimization recommendation of a geographic area of interest covered by a communication network. The computing system may determine a network traffic trend associated with the geographic area of interest based on a current number of data samples that may be aggregated into a plurality of data points. The computing system may predict a value of a number of data samples for a future time associated with the geographic area of interest, based on the determined network traffic trend and the current number of data samples. The computing system may predict, based on the determined network traffic trend and the predicted value of the number of data samples at the future time, network traffic associated with the geographic area of interest at the future time, and send instructions for presenting the optimization recommendation based on the predicted network traffic.