Abstract: The invention relates to a current measuring device for measuring an electric current (I). The current measuring device includes a current measuring resistor with two connection parts made of a conductor material and a resistor element made of a resistance material. Furthermore, the current measuring device may include a circuit board which is electrically connected to the two connection parts of the current measuring resistor at at least two connection points. The invention provides that the connection parts of the current measuring resistor are each connected to the circuit board at the connection points via a press connection with a material bond. Furthermore, the invention includes a corresponding production method.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a social network post associated with a poster. The social network post is analyzed, and one or more potential viewers are ranked based on viewer ranking criteria. A predicted relevant audience is determined based on the ranking of the one or more potential viewers.

Abstract: This disclosure generally covers systems and methods that schedule posts of one or more images, videos, or other digital content items through an account of a social networking system in a way that optimizes user engagement. In particular, certain embodiments of the disclosed systems and methods determine when to post digital content items by calculating data-driven user engagement scores and updating those scores with data tracked by the social networking system.

Abstract: In one embodiment, a method includes, receiving, from a client system of a user, a search query including n-grams. The method includes associating each n-gram with verticals based on an analysis of the n-grams by language models. The method includes determining, for each n-gram, if a bloom filter for a vertical associated with the n-gram indicates, based on sub-bloom filters of the bloom filter, the n-gram does exist or does not exist in a set of object names associated with the vertical. Each sub-bloom filter is associated with a subset of the set of object names and indicates the n-gram does exist or does not exist in its subset of object names. The method includes sending, to the client system, an indication that an n-gram of the n-grams is misspelled if a bloom filter indicates the n-gram does not exist in the set of object names associated with the vertical.

Abstract: A computer-implemented method for executing tests may include (i) identifying a debugger that enables a developer to execute a test version of an application while collecting debug data about an execution of the test version of the application, (ii) retrieving, from a test configuration repository, a test configured to specify at least one predefined input and at least one expected output for the test version of the application, (iii) initiating an execution, via the debugger, of the test version of the application with the predefined input from the test retrieved from the test configuration repository, and (iv) determining, based on data collected by the debugger during the execution of the test version of the application with the predefined input, whether the execution of the test version of the application produced the expected output. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: In one embodiment, a method includes receiving a search query, searching a reverse index to identify one or more objects having one or more tokens that match the search query, and accessing a forward index that has several records that each correspond to an object posted to an online social network. Each record may comprise a first field of tokens, and one or more second fields corresponding to metadata associated with each of the tokens. The method may further include scoring each identified object based on its respective record. The score for each identified object may be calculated based on the metadata associated with each of the tokens. The method may also include sending, to the client system in response to the received search query, instructions for presenting one or more search results corresponding to the identified objects having a score greater than a threshold score.

Abstract: In one embodiment, a method includes receiving a search query including one or more n-grams, determining for each n-gram if a contextual speller model indicates the n-gram is misspelled, identifying for each misspelled n-gram one or more variant-tokens based at least on the search query and a contextual speller model, generating one or more unique combinations of the n-grams and variant-tokens, where each unique combination includes a variant-token corresponding to each misspelled n-gram, calculating a relevance-score for each unique combination based at least in part on the search query and the contextual speller model, generating one or more corrected queries, where each corrected query includes a unique combination having a relevance-score greater than a threshold relevance-score, and sending one or more of the corrected queries to a user for display.

Abstract: In one embodiment, a method includes receiving a search query including one or more n-grams, where the n-grams include one or more misspelled n-grams, identifying one or more variant-tokens for each misspelled n-gram, calculating a feature value for each identified variant-token based at least on the identified variant-token, the misspelled n-gram, and one or more variant-tokens corresponding to one or more n-grams preceding the misspelled n-gram, generating one or more unique combinations of the n-grams and variant-tokens, calculating a sequence-score for each unique combination based at least in part on the calculated feature values of the variant-tokens of the unique combination, generating one or more corrected queries, where each corrected query includes a unique combination having a sequence-score greater than a threshold sequence-score, and sending one or more of the corrected queries to a user for display.

Abstract: This disclosure generally covers systems and methods that schedule posts of one or more images, videos, or other digital content items through an account of a social networking system in a way that optimizes user engagement. In particular, certain embodiments of the disclosed systems and methods determine when to post digital content items by calculating data-driven user engagement scores and updating those scores with data tracked by the social networking system.

Abstract: One or more techniques and/or systems are provided for populating and/or animating a spatial visualization, such as a map, a timeline, and/or other 2D and/or 3D visual representations of locations. The spatial visualization may be populated with events extracted from a data source (e.g., real-time events, news events, social network events, etc.), and may include relationships between events (e.g., based upon time, location, contextual similarity (e.g., social network check-in events at a restaurant), events referencing one another (e.g., an article describing a first event may comprise a hyperlink to an article describing a second event) etc.). Filter criteria (e.g., date, event type, location, etc.) may be applied to events and/or relationships when populating the spatial visualization. A sequence of events and corresponding relationships may be animated within the spatial visualization (e.g., as the events unfold over a (user) designated period of time).

Abstract: One or more techniques and/or systems are provided for populating and/or animating a spatial visualization, such as a map, a timeline, and/or other 2D and/or 3D visual representations of locations. The spatial visualization may be populated with events extracted from a data source (e.g., real-time events, news events, social network events, etc.), and may include relationships between events (e.g., based upon time, location, contextual similarity (e.g., social network check-in events at a restaurant), events referencing one another (e.g., an article describing a first event may comprise a hyperlink to an article describing a second event) etc.). Filter criteria (e.g., date, event type, location, etc.) may be applied to events and/or relationships when populating the spatial visualization. A sequence of events and corresponding relationships may be animated within the spatial visualization (e.g., as the events unfold over a (user) designated period of time).

Abstract: In one embodiment, a method includes, receiving, from a client system of a user, a search query including n-grams. The method includes associating each n-gram with verticals based on an analysis of the n-grams by language models. The method includes determining, for each n-gram, if a bloom filter for a vertical associated with the n-gram indicates, based on sub-bloom filters of the bloom filter, the n-gram does exist or does not exist in a set of object names associated with the vertical. Each sub-bloom filter is associated with a subset of the set of object names and indicates the n-gram does exist or does not exist in its subset of object names. The method includes sending, to the client system, an indication that an n-gram of the n-grams is misspelled if a bloom filter indicates the n-gram does not exist in the set of object names associated with the vertical.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a social network post associated with a poster. The social network post is analyzed, and one or more potential viewers are ranked based on viewer ranking criteria. A predicted relevant audience is determined based on the ranking of the one or more potential viewers.

Abstract: In one embodiment, a method includes receiving a search query, determining if a bloom filter indicates an n-gram of the query does not exist in a set of object names associated with a vertical, identifying variant-tokens for each n-gram that does not exist in the set of object names, generating unique combinations of the n-grams and variant-tokens, where each unique combination includes a variant-token corresponding to each n-gram that does not exist in the set of object names for the n-gram, calculating a confidence score for each unique combination based at least in part on the search query and whether the unique combination exists in the set of object names, identifying objects matching each unique combination, where the unique combination has a confidence score greater than a threshold confidence score, and sending a search-results page responsive to the search query to the client device of the user.

Abstract: Architecture that provides fully automatic generation of a geo-ontology and does not use pre-existing geo-ontologies or other location entity repositories (e.g., a licensed location). The architecture extracts the formal administrative structure of a geographical region of interest (e.g., country) (a geo-ontology of locations with attributes and relations) from a collection of entities with spatial attributes, extracts the informal administrative structure of a geographical region of interest (e.g., country) (informal administrative regions and names and informal neighborhoods and their attributes), and extracts location static rank features for all these entities (attributes used for ranking locations from the geo-ontology that appear in user queries).

Abstract: In one embodiment, a method includes receiving a search query including one or more n-grams, where the n-grams include one or more misspelled n-grams, identifying one or more variant-tokens for each misspelled n-gram, calculating a feature value for each identified variant-token based at least on the identified variant-token, the misspelled n-gram, and one or more variant-tokens corresponding to one or more n-grams preceding the misspelled n-gram, generating one or more unique combinations of the n-grams and variant-tokens, calculating a sequence-score for each unique combination based at least in part on the calculated feature values of the variant-tokens of the unique combination, generating one or more corrected queries, where each corrected query includes a unique combination having a sequence-score greater than a threshold sequence-score, and sending one or more of the corrected queries to a user for display.

Abstract: In one embodiment, a method includes receiving a search query including one or more n-grams, determining for each n-gram if a contextual speller model indicates the n-gram is misspelled, identifying for each misspelled n-gram one or more variant-tokens based at least on the search query and a contextual speller model, generating one or more unique combinations of the n-grams and variant-tokens, where each unique combination includes a variant-token corresponding to each misspelled n-gram, calculating a relevance-score for each unique combination based at least in part on the search query and the contextual speller model, generating one or more corrected queries, where each corrected query includes a unique combination having a relevance-score greater than a threshold relevance-score, and sending one or more of the corrected queries to a user for display.

Abstract: In one embodiment, a method includes receiving a search query, determining if a bloom filter indicates an n-gram of the query does not exist in a set of object names associated with a vertical, identifying variant-tokens for each n-gram that does not exist in the set of object names, generating unique combinations of the n-grams and variant-tokens, where each unique combination includes a variant-token corresponding to each n-gram that does not exist in the set of object names for the n-gram, calculating a confidence score for each unique combination based at least in part on the search query and whether the unique combination exists in the set of object names, identifying objects matching each unique combination, where the unique combination has a confidence score greater than a threshold confidence score, and sending a search-results page responsive to the search query to the client device of the user.

Abstract: One or more techniques and/or systems are provided for populating and/or animating a spatial visualization, such as a map, a timeline, and/or other 2D and/or 3D visual representations of locations. The spatial visualization may be populated with events extracted from a data source (e.g., real-time events, news events, social network events, etc.), and may include relationships between events (e.g., based upon time, location, contextual similarity (e.g., social network check-in events at a restaurant), events referencing one another (e.g., an article describing a first event may comprise a hyperlink to an article describing a second event) etc.). Filter criteria (e.g., date, event type, location, etc.) may be applied to events and/or relationships when populating the spatial visualization. A sequence of events and corresponding relationships may be animated within the spatial visualization (e.g., as the events unfold over a (user) designated period of time).

Abstract: One or more techniques and/or systems are provided for populating and/or animating a spatial visualization, such as a map, a timeline, and/or other 2D and/or 3D visual representations of locations. The spatial visualization may be populated with events extracted from a data source (e.g., real-time events, news events, social network events, etc.), and may include relationships between events (e.g., based upon time, location, contextual similarity (e.g., social network check-in events at a restaurant), events referencing one another (e.g., an article describing a first event may comprise a hyperlink to an article describing a second event) etc.). Filter criteria (e.g., date, event type, location, etc.) may be applied to events and/or relationships when populating the spatial visualization. A sequence of events and corresponding relationships may be animated within the spatial visualization (e.g., as the events unfold over a (user) designated period of time).