Abstract: Techniques for dynamically altering weights to re-weight attributes of an ordering model based on feedback in a streaming environment are described. In an embodiment, a system accesses, based on a candidate stream definition comprising a role including a title, one or more stream-related information sources, and extracts attributes from the sources. Additionally, the system inputs the attributes to a combined ordering model that is trained by a machine learning algorithm to output ordering scores for member profiles of an online system (e.g., hosting a social networking service). The combined ordering model includes weights assigned to the attributes. Moreover, the system orders, based on the ordering scores, the profiles. Furthermore, the system presents, on a display, of top-ordered profiles. Then, the system accesses feedback regarding the top-ordered profiles and dynamically trains the weights assigned to each of the attributes to alter the weights assigned to the attributes based on the feedback.

Abstract: Techniques for suggesting roles for hiring searches are described An example system comprises a processor, a storage device, and a memory device holding an instruction set executable on the processor to cause the system to perform operations. The system determines an organization employing a user, and identifies, based on the organization, suggested roles to hire for. Bach suggested role includes a tide. Additionally, the system causes presentation of at least some of the suggested roles, and accesses, based on a selection of one of the presented suggested roles, member profiles of members of an online system. Moreover, the system extracts attributes from the member profiles, and generates a search query based on the extracted attributes. Furthermore, the system executes the query on the member profiles in the online system to return search results. Then, the system causes presentation, on a display device, of at least some of the search results.

Abstract: Systems and methods for query term weighting are disclosed. A server receives a search query for employment candidates, the search query comprising a set of parameters, each parameter having a weight. The server generates, from a data repository storing records associated with professionals, a first set of search results based on the set of parameters and the weights of the parameters in the set. The server transmits the first set of search results. The server receives a response to search result(s) from the first set of search results, the search result(s) being associated with a set of factors, the response indicating a level of interest in the search result(s). The server adjusts the parameters in the set of parameters or adjusts the weights of the parameters based on the response to the search result(s). The server provides an output based on the adjusted parameters or the adjusted weights.

Abstract: Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

Abstract: Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

Abstract: Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

Abstract: Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

Abstract: The disclosed embodiments include processes that manage a cryptographically secure generation and exchange of data between network-connected systems operating within a computing environment using a permissioned distributed ledger. For example, and based on secure interaction with a distributed smart contract maintained within ledger blocks of the permissioned distributed ledger, an apparatus and a counterparty system may generate local symmetric encryption keys that facilitate a secure communication session between the apparatus and the counterparty system. Using the symmetric encryption key, the apparatus may generate a cryptographically secure representation of generated or obtained data, which may be transmitted to the counterparty system across the secure communications channel.

Abstract: Aspects of the subject disclosure may include, for example, determining a demand for real-time services to a first mobile device, by way of a base station of an LTE system. In response, utilization of a first wireless channel of a first radio of the base station is evaluated. The first radio supports a first wireless service that includes the real-time service and a non-real-time service to a second mobile device within the same cellular region. A handover of the second mobile device to a second radio of the base station is facilitated in response to the utilization. The second radio is configured to support a second wireless service that excludes the real-time service within the same cellular region. Responsive to the handover, the second radio supports the non-real-time service over the second wireless channel to the second mobile device within the cellular region. Other embodiments are disclosed.

Abstract: The disclosed embodiments include computerized methods and systems that automatically provision one or more services available to an Internet-of-Things (IoT) devices upon connection to and registration onto communications network. In one aspect, a device may receive, from a computing system, data specifying one or more first services provisioned to the device. The device may identify a subset of the first services that are consistent with a device type of an additional device, and may transmit a portion of the stored first data that specifies the subset of the first services to that additional device. The additional device may process the transmitted portion to provision the subset of the first services to the additional device prior to a successful authentication.

Abstract: Systems and methods for deduplication and disambiguation are disclosed. In example embodiments, a server accesses stored information about a first entity and stored information about a second entity. The server determines, based on the accessed stored information about the first entity and the accessed stored information about the second entity, a set of information items known about both the first entity and the second entity. The server computes, based on the set of information items, a probability that the first entity corresponds to the second entity by computing one or more expressiveness scores corresponding to a value of a first information item and a value of a second information item from the set of information items. The server provides, as a digital transmission, an output representing the computed probability.

Abstract: Aspects of the subject disclosure may include, for example, determining a demand for real-time services to a first mobile device, by way of a base station of an LTE system. In response, utilization of a first wireless channel of a first radio of the base station is evaluated. The first radio supports a first wireless service that includes the real-time service and a non-real-time service to a second mobile device within the same cellular region. A handover of the second mobile device to a second radio of the base station is facilitated in response to the utilization. The second radio is configured to support a second wireless service that excludes the real-time service within the same cellular region. Responsive to the handover, the second radio supports the non-real-time service over the second wireless channel to the second mobile device within the cellular region. Other embodiments are disclosed.

Abstract: The present invention provides an improved bilateral compression device for post-operative surgical site, the bilateral compression device including a central cavity presented by an outerwall and a circumscribing sidewall, the central cavity in receipt of a post-operative pillow further comprising an outer membrane separated from an inner membrane for exerting a central compressive force towards the post-operative surgical area which varies from a surrounding compression force.

Abstract: The disclosed embodiments include computerized methods and systems that automatically provision one or more services available to an Internet-of-Things (IoT) devices upon connection to and registration onto communications network. In one aspect, a device may receive, from a computing system, data specifying one or more first services provisioned to the device. The device may identify a subset of the first services that are consistent with a device type of an additional device, and may transmit a portion of the stored first data that specifies the subset of the first services to that additional device. The additional device may process the transmitted portion to provision the subset of the first services to the additional device prior to a successful authentication.

Abstract: The disclosed embodiments include computer-implemented systems and processes that perform operations that initiate, approve, and execute exchanges of data between network-connected systems, apparatuses, and devices in a computing environment. For example, a network-connected apparatus may receive, from a network-connected terminal device, data specifying an exchange of data initiated at the terminal device. The apparatus may, in some instances, identify a data type corresponding to the received data, and based on a block-chain ledger that tracks data exchanges involving the identified data type, determine an availability of the identified data type for use in the data exchange. In response to the determination, the apparatus may transmit a message confirming the availability of the identified data type to the terminal device prior to executing the data exchange in accordance with a data exchange parameter and using the identified data type.

Abstract: The disclosed embodiments include computer-implemented systems and processes that facilitate an initiation and a performance of one or more trustless transactions between counterparty devices operating within a trusted, secure computer-networking environment. For example, an apparatus may receive, through a touchscreen display unit, first data that identifies a session identifier associated with a transaction session, and may determine a validity of the session identifier based on the received first data. The apparatus may establish the transaction session in response to the determined validity of the session identifier. The transaction session may be associated with first and second operations characterized by values of corresponding parameters.

Abstract: The disclosed embodiments include computer-implemented systems and processes that perform operations consistent with services provisioned to a device based on real-time sensor data indicative of and characterizing a user's operation of the device and additionally or alternatively, a system or apparatus that includes the device. For example, the device may obtain stored data identifying a provisioned service, and may obtain sensor data captured by an on-board or external sensor during an operation of the device. Based on the sensor data, the device may generate a usage parameter that characterizes the operation of the device during a temporal period, and perform an operation consistent with the provisioned service in accordance with the generated usage parameter.

Abstract: The disclosed embodiments include computerized methods and systems that automatically provision one or more services available to an Internet-of-Things (IoT) devices upon connection to and registration onto communications network. In one aspect, a device may receive, from a computing system, data specifying one or more first services provisioned to the device. The device may identify a subset of the first services that are consistent with a device type of an additional device, and may transmit a portion of the stored first data that specifies the subset of the first services to that additional device. The additional device may process the transmitted portion to provision the subset of the first services to the additional device prior to a successful authentication.

Abstract: Aspects of the subject disclosure may include, for example, determining a demand for real-time services to a first mobile device, by way of a base station of an LTE system. In response, utilization of a first wireless channel of a first radio of the base station is evaluated. The first radio supports a first wireless service that includes the real-time service and a non-real-time service to a second mobile device within the same cellular region. A handover of the second mobile device to a second radio of the base station is facilitated in response to the utilization. The second radio is configured to support a second wireless service that excludes the real-time service within the same cellular region. Responsive to the handover, the second radio supports the non-real-time service over the second wireless channel to the second mobile device within the cellular region. Other embodiments are disclosed.