Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one scenario that applies to a user of a social networking system based at least in part on features associated with the user. One or more groups of content recommendations associated with the at least one scenario can be determined. Each group of content recommendations can include a set of content items that relate to the at least one scenario. The one or more groups of content recommendations can be provided to the user as recommendations.

Abstract: The disclosure relates to a display panel. The display panel may include a first substrate, a second substrate opposite the first substrate, a liquid crystal layer between the first substrate and the second substrate, a first electrode on a side of the first substrate facing the liquid crystal layer, a second electrode between the liquid crystal layer and the first electrode, the second electrode being insulated from the first electrode, and an anti-peeping electrode on a side of the second substrate facing the liquid crystal layer.

Abstract: Systems, methods, and non-transitory computer-readable media can train a machine learning model to determine predictive search recommendation based on search prediction information. Search prediction information associated with a user is provided to the machine learning model. A predictive search recommendation is presented to the user based on the machine learning model and the search prediction information. A search is performed based on the predictive search recommendation for one or more search results associated with entity pages on a social networking system.

Abstract: Systems, methods, and non-transitory computer-readable media can present a service directory landing page comprising a plurality of selectable service category options associated with a plurality of pre-defined service categories. A search results page is presented, including one or more search results based on search criteria. Each of the one or more search results is associated with an entity page of a social networking system. The service directory landing page and the search results page are accessible without logging into the social networking system. Each entity page on the social networking system is accessible only when logged into the social networking system.

Abstract: An online system, such as a social networking system, recommends pages of content to users. The recommendation is presented in a recommendation unit presenting one or more representations of pages to a user. Additionally, the user may interact with the recommendation unit to change representations of pages presented by the recommendation unit. A representation of a page presented by the recommendation unit includes content from one or more content items on the page selected based on interaction with the content items on the page and types of content included in content items on the page (e.g., image data, video data, destination address). Representations of different pages may differ based on the types of content included in content items selected from the different pages.

Abstract: Systems, methods, and non-transitory computer readable media can receive a request to generate a hovercard associated with a page of a social networking system for a user. One or more of textual content items associated with the page, multimedia content items associated with the page, or actions associated with the page can be ranked for the user, based on one or more machine learning models. The hovercard associated with the page can be dynamically generated for the user for display, based on the ranked textual content items, multimedia content items, or actions.

Abstract: Systems, methods, and non-transitory computer-readable media can train a machine learning model to determine predictive search recommendation based on search prediction information. Search prediction information associated with a user is provided to the machine learning model. A predictive search recommendation is presented to the user based on the machine learning model and the search prediction information. A search is performed based on the predictive search recommendation for one or more search results associated with entity pages on a social networking system.

Abstract: Systems, methods, and non-transitory computer-readable media can present a service directory landing page comprising a plurality of selectable service category options associated with a plurality of pre-defined service categories. A search results page is presented, including one or more search results based on search criteria. Each of the one or more search results is associated with an entity page of a social networking system. The service directory landing page and the search results page are accessible without logging into the social networking system. Each entity page on the social networking system is accessible only when logged into the social networking system.

Abstract: An online system, such as a social networking system, recommends pages of content to users. The recommendation is presented in a recommendation unit presenting one or more representations of pages to a user. Additionally, the user may interact with the recommendation unit to change representations of pages presented by the recommendation unit. A representation of a page presented by the recommendation unit includes content from one or more content items on the page selected based on interaction with the content items on the page and types of content included in content items on the page (e.g., image data, video data, destination address). Representations of different pages may differ based on the types of content included in content items selected from the different pages.

Abstract: An algorithm for dynamically adjusting the number of processors servicing Virtual Machine Queues (VMQ) and the mapping of the VMQ to the processors based on network load and processor usage in the system. The algorithm determines the total load on a processor and depending on whether the total load exceeds or falls below a threshold respectively, the algorithm moves at least one of the VMQs to a different processor based on certain criteria such as whether the destination processor is the home processor to the VMQ or whether it shares a common NUMA node with the VMQ. By doing so, better I/O throughput and lower power consumption can be achieved.

Abstract: An algorithm for dynamically adjusting the number of processors servicing Virtual Machine Queues (VMQ) and the mapping of the VMQ to the processors based on network load and processor usage in the system The algorithm determines the total load on a processor and depending on whether the total load exceeds or falls below a threshold respectively, the algorithm moves at least one of the VMQs to a different processor based on certain criteria such as whether the destination processor is the home processor to the VMQ or whether it shares a common NUMA node with the VMQ. By doing so, better I/O throughput and lower power consumption can be achieved.

Abstract: The present invention relates to a new amine compound or a pharmaceutically acceptable salt thereof, wherein the definitions of X, R1, R2 and n are given in the description, to a pharmaceutical composition containing the compound as active ingredient, and to use of the amine compound or its pharmaceutically acceptable salt for the manufacture of an anti-depressent drug.