Abstract: Aspects of the present disclosure relate to applying access control to streamed media content. A log-in request to a media streaming service is received. A biometric sample is received from a user. The biometric sample is compared to a biometric template to determine whether the user is an authorized user. In response to determining that the user is an authorized user, the biometric sample is analyzed to determine an age of the user. Access control is then applied to media content accessed through the media streaming service based on the determined age.

Abstract: A method for encoding and decoding a javascript object notation (JSON) document utilizing a statistical tree representing a JSON Schema. The encoded statistical tree may be optimized.

Abstract: Aspects of the present disclosure relate to applying access control to streamed media content. A log-in request to a media streaming service is received. A biometric sample is received from a user. The biometric sample is compared to a biometric template to determine whether the user is an authorized user. In response to determining that the user is an authorized user, the biometric sample is analyzed to determine an age of the user. Access control is then applied to media content accessed through the media streaming service based on the determined age.

Abstract: A computer-implemented method includes receiving, from a first log agent, a first log collection. The computer-implemented method further includes receiving a first policy, wherein the first policy includes a definition of a first pattern and a definition of a procedure. The computer-implemented method further includes scanning the first log collection against the first policy to determine a match between a portion of the first log collection and the first pattern, with the matching portion of the first log collection being identified as a first data artefact. The computer-implemented method further includes, responsive to identifying the first data artefact, executing the procedure defined by the first policy, wherein the procedure includes: filtering the first log collection to yield a first group of filtered log entries, receiving a first data collection, and sending the first group of filtered log entries and the first data collection to a recipient system.

Abstract: A computer-implemented method includes receiving, from a first log agent, a first log collection. The computer-implemented method further includes receiving a first policy, wherein the first policy includes a definition of a first pattern and a definition of a procedure. The computer-implemented method further includes scanning the first log collection against the first policy to determine a match between a portion of the first log collection and the first pattern, with the matching portion of the first log collection being identified as a first data artefact. The computer-implemented method further includes, responsive to identifying the first data artefact, executing the procedure defined by the first policy, wherein the procedure includes: filtering the first log collection to yield a first group of filtered log entries, receiving a first data collection, and sending the first group of filtered log entries and the first data collection to a recipient system.

Abstract: The system, method, and computer program product described herein leverage a user's social media data to personalize the user's gameplay experience based on the user's personality traits including comparing the personality characteristics data of the user to a plurality of rules each including an expression and at least one parameter that is associated with the expression, generating a player profile for the user based on the comparison of the personality characteristics data to the plurality of rules where a value of at least one parameter in the player profile is determined based on a value of the at least one parameter of a respective rule of the plurality of rules if the expression of that respective rule is met by the personality characteristics data, personalizing a game for the user based on the parameters in the generated player profile and presenting the personalized game to the user.

Abstract: A computer-implemented method includes receiving, from a first log agent, a first log collection. The computer-implemented method further includes receiving a first policy, wherein the first policy includes a definition of a first pattern and a definition of a procedure. The computer-implemented method further includes scanning the first log collection against the first policy to determine a match between a portion of the first log collection and the first pattern, with the matching portion of the first log collection being identified as a first data artefact. The computer-implemented method further includes, responsive to identifying the first data artefact, executing the procedure defined by the first policy, wherein the procedure includes: filtering the first log collection to yield a first group of filtered log entries, receiving a first data collection, and sending the first group of filtered log entries and the first data collection to a recipient system.

Abstract: A method for encoding and decoding a javascript object notation (JSON) document utilizing a statistical tree representing a JSON Schema. The encoded statistical tree may be optimized.

Abstract: A method for encoding and decoding a javascript object notation (JSON) document utilizing a statistical tree representing a JSON Schema. The encoded statistical tree may be optimized.

Abstract: A method for customizing a purchase of a digital content is provided. The method includes receiving a request from a user device to purchase the digital content retrievable by the computing system, the digital content being encoded such that the purchase of the digital content is customizable based on an audio quality and a video quality of the digital content, presenting a plurality of selectable audio formats and video formats associated with the digital content, wherein the audio quality and the video quality of the digital content is affected by a user selection of the plurality of audio formats and video formats, providing a downloadable package comprising the customized digital content with the user selected audio formats and video formats to the user device for consuming the customized digital content, and processing a payment for the customized digital content delivered to the user device.

Abstract: A computer-implemented method includes receiving, from a first log agent, a first log collection. The computer-implemented method further includes receiving a first policy, wherein the first policy includes a definition of a first pattern and a definition of a procedure. The computer-implemented method further includes scanning the first log collection against the first policy to determine a match between a portion of the first log collection and the first pattern, with the matching portion of the first log collection being identified as a first data artefact. The computer-implemented method further includes, responsive to identifying the first data artefact, executing the procedure defined by the first policy, wherein the procedure includes: filtering the first log collection to yield a first group of filtered log entries, receiving a first data collection, and sending the first group of filtered log entries and the first data collection to a recipient system.

Abstract: A computer-implemented method includes receiving, from a first log agent, a first log collection. The computer-implemented method further includes receiving a first policy, wherein the first policy includes a definition of a first pattern and a definition of a procedure. The computer-implemented method further includes scanning the first log collection against the first policy to determine a match between a portion of the first log collection and the first pattern, with the matching portion of the first log collection being identified as a first data artifact. The computer-implemented method further includes, responsive to identifying the first data artifact, executing the procedure defined by the first policy, wherein the procedure includes: filtering the first log collection to yield a first group of filtered log entries, receiving a first data collection, and sending the first group of filtered log entries and the first data collection to a recipient system.

Abstract: A processor executes program instructions for managing information about a product to search documents for a location of a message of the product using a set of rules that are based on instructions for generating the message. The instructions are in a resource of the product. The processor then adds the location to an index of locations of the message in the documents.

Abstract: A method for managing information about a product. A processor searches documents for a location of a message of the product using a set of rules that are based on instructions for generating the message. The instructions are in a resource of the product. The processor then adds the location to an index of locations of the message in the documents.

Abstract: A computer-implemented method includes receiving, from a first log agent, a first log collection. The computer-implemented method further includes receiving a first policy, wherein the first policy includes a definition of a first pattern and a definition of a procedure. The computer-implemented method further includes scanning the first log collection against the first policy to determine a match between a portion of the first log collection and the first pattern, with the matching portion of the first log collection being identified as a first data artefact. The computer-implemented method further includes, responsive to identifying the first data artefact, executing the procedure defined by the first policy, wherein the procedure includes: filtering the first log collection to yield a first group of filtered log entries, receiving a first data collection, and sending the first group of filtered log entries and the first data collection to a recipient system.

Abstract: A processor receives a rule containing a first set of code statements. The processor compares the first set of code statements of the rule to a second set of code statements of a plurality of code statements of source code. The processor responds to a match of the first set of code statements of the rule and the second set of code statements of the plurality of code statements of the source code, by applying a weight modifier to the rule, which adds a weighted value to the rule, and the processor, in response to a second matching of the first set of code statements of the rule to the second set of code statements of the plurality of code statements of the source code, applies the weight modifier to the rule, which includes a weighted value, and the weight modifier adjusts the weighted value of the rule.

Abstract: A processor receives a rule containing a first set of code statements. The processor compares the first set of code statements of the rule to a second set of code statements of a plurality of code statements of source code. The processor responds to a match of the first set of code statements of the rule and the second set of code statements of the plurality of code statements of the source code, by applying a weight modifier to the rule, which adds a weighted value to the rule, and the processor, in response to a second matching of the first set of code statements of the rule to the second set of code statements of the plurality of code statements of the source code, applies the weight modifier to the rule, which includes a weighted value, and the weight modifier adjusts the weighted value of the rule.

Abstract: A method for encoding and decoding a javascript object notation (JSON) document utilizing a statistical tree representing a JSON Schema. The encoded statistical tree may be optimized.

Abstract: A processor receives a rule containing a first set of code statements. The processor compares the first set of code statements of the rule to a second set of code statements of a plurality of code statements of source code. The processor responds to a match of the first set of code statements of the rule and the second set of code statements of the plurality of code statements of the source code, by applying a weight modifier to the rule, which adds a weighted value to the rule, and the processor, in response to a second matching of the first set of code statements of the rule to the second set of code statements of the plurality of code statements of the source code, applies the weight modifier to the rule, which includes a weighted value, and the weight modifier adjusts the weighted value of the rule.

Abstract: A processor receives a rule containing a first set of code statements. The processor compares the first set of code statements of the rule to a second set of code statements of a plurality of code statements of source code. The processor responds to a match of the first set of code statements of the rule and the second set of code statements of the plurality of code statements of the source code, by applying a weight modifier to the rule, which adds a weighted value to the rule, and the processor, in response to a second matching of the first set of code statements of the rule to the second set of code statements of the plurality of code statements of the source code, applies the weight modifier to the rule, which includes a weighted value, and the weight modifier adjusts the weighted value of the rule.