Abstract:
Equivalent concepts expressed across multiple domains are matched and associated with a metapage generated by a social networking system. User preferences expressed on multiple domains, represented as pages in a social networking system, may be organized by concept and shared with advertisers, third-party developers, and other users of the social networking system using the metapages generated for the concepts. Aggregated social information may be presented to users of the social networking system viewing a page associated with a metapage. Information presented on external websites may be used to link pages across multiple domains with a metapage generated on the social networking system, presenting the information on other external websites associated with the metapage as links on the pages associated with the metapage. Feedback from users may be used to include or exclude pages from being associated with a generated metapage.
Abstract:
Embodiments of the invention improve the ability of a social networking system to determine which types of data—hereinafter referred to as “fields”—are relevant to which types of user pages. Specifically, a social networking system assigns page types to different user pages, and likewise stores information on different types of fields. By analyzing the relationships of different pages and fields, the social networking system determines which types of fields are particularly well-suited for inclusion on different types of pages. Using the learned information about page types and field types, the social networking system can better aid page administrators in specifying data to add to their pages. For example, the social networking system can recommend to administrators the addition of certain types of fields or automatically add the fields. Further, the social networking system can specialize a search for social networking system data to field types.
Abstract:
Embodiments of the invention improve the ability of a social networking system to determine which types of data—hereinafter referred to as “fields”—are relevant to which types of user pages. Specifically, a social networking system assigns page types to different user pages, and likewise stores information on different types of fields. By analyzing the relationships of different pages and fields, the social networking system determines which types of fields are particularly well-suited for inclusion on different types of pages. Using the learned information about page types and field types, the social networking system can better aid page administrators in specifying data to add to their pages. For example, the social networking system can recommend to administrators the addition of certain types of fields or automatically add the fields. Further, the social networking system can specialize a search for social networking system data to field types.
Abstract:
A device includes a multistage filter and an elephant trap. The multistage filter has hash functions and an array. The multistage filter is operable to receive a packet associated with a candidate heavy network user and send the packet to the hash functions. The hash functions generate hash function output values corresponding to indices in the array. The elephant trap is connected to the multistage filter. The elephant trap includes a buffer and probabilistic sampling logic. The probabilistic sampling logic is operable to attempt to add information associated with the packet to the buffer a particular percentage of the time based in part on the result of the multistage filter lookup. The buffer is operable to hold information associated with the packet, counter information, and timestamp information.
Abstract:
A method and system for inferring user attributes in a social networking system. The method includes maintaining a social graph comprising a plurality of nodes and a plurality of edges between the nodes. An unknown, incomplete, or inaccurate user attribute for a user is identified, and a plurality of probability lists are generated using a corresponding plurality of probability algorithms that utilize known user attributes and the social graph. The probability lists include a set of probability entries, each including a prediction we value for the unknown, incomplete, or inaccurate user attribute and a confidence score. Using the probability lists and a plurality of weights corresponding to the probability algorithms, an inferred user attribute value is generated and stored. The weights may be adjusted based upon learning the correct value of the unknown, incomplete, or inaccurate user attribute, and search results may be modified to include the user for search queries seeking information about the inferred user attribute.
Abstract:
A digitally controlled voltage generator is disclosed for use in applications requiring fine resolution voltage control, such as generating a common voltage for a liquid crystal display. A constant resistance digital to analog converter (DAC) is configured to provide appropriate voltage steps by tuning bias resistors to generate desirable reference voltages for the DAC. The bias resistors are configured to be tuned after placement and routing steps in an integrated circuit design.
Abstract:
Equivalent concepts expressed across multiple domains are matched and associated with a metapage generated by a social networking system. User preferences expressed on multiple domains, represented as pages in a social networking system, may be organized by concept and shared with advertisers, third-party developers, and other users using the metapages generated for the concepts. Aggregated social information may be presented to users viewing a page associated with a metapage. Information presented on external websites may be used to link pages across multiple domains with a metapage generated on the social networking system. Information on other external websites associated with the metapage may be presented as links on the pages associated with the metapage. Feedback from users may be used to include or exclude pages from being associated with a generated metapage. A best page for a concept embodied in multiple pages may be determined using a hierarchy of rules.
Abstract:
Methods and apparatuses to dynamically customize a listing to track a selected type of responses to be generated from a presentation of the customized listing, where the selection of the type of responses is based at least in part on one or more characteristics of the request for the listing. One embodiment includes receiving a request for a listing of an entity; determining a characteristic of the request; selecting a type of responses for the listing based on the determined characteristic; generating a version of the listing to track the type of responses that are responsive to a presentation of the listing; and providing the version of the listing in response to the request.
Abstract:
A device includes a multistage filter and an elephant trap. The multistage filter has hash functions and an array. The multistage filter is operable to receive a packet associated with a candidate heavy network user and send the packet to the hash functions. The hash functions generate hash function output values corresponding to indices in the array. The elephant trap is connected to the multistage filter. The elephant trap includes a buffer and probabilistic sampling logic. The probabilistic sampling logic is operable to attempt to add information associated with the packet to the buffer a particular percentage of the time based in part on the result of the multistage filter lookup. The buffer is operable to hold information associated with the packet, counter information, and timestamp information.
Abstract:
Equivalent concepts expressed across multiple domains are matched and associated with a metapage generated by a social networking system. User preferences expressed on multiple domains, represented as pages in a social networking system, may be organized by concept and shared with advertisers, third-party developers, and other users of the social networking system using the metapages generated for the concepts. Aggregated social information may be presented to users of the social networking system viewing a page associated with a metapage. Information presented on external websites may be used to link pages across multiple domains with a metapage generated on the social networking system. Social context information may be provided on a page associated with a metapage for a viewing user that shows expressions of interest by other users on the page and other pages associated with the metapage.