Abstract: A method in a client backoff filter. The method includes receiving, from a server, a backoff data packet having backoff metadata. The method also includes saving the backoff metadata in a cache local to the client backoff filter. The method also includes receiving a subsequent request for service. The method also includes checking whether an attribute of the subsequent request for service matches the backoff metadata in the cache. The method also includes performing, responsive to checking, an action including at least one of the group including: blocking, responsive to the attribute matching the backoff metadata in the cache, transmission of the subsequent request for service to a server, and transmitting, responsive to the attribute failing to match the backoff metadata in the cache, the subsequent request for service to the server.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for data clustering are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a structured query for a database of users based on the prompt. A user experience platform generates a user segment of the users based on the structured query.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for contextual content generation are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a content provider context for the user experience platform. The content provider context includes profile information for a content provider and an interaction history of the content provider. The user experience platform obtains a prompt based on the content provider context. Embodiments of the present disclosure further include generating content for a project within the user experience platform based on the prompt using a machine learning model.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for data processing are described. An embodiment of the present disclosure includes receiving, from a content provider via a user interface, a query about a chart that includes information related to a domain. A machine learning model generates a response to the query based on the chart and a corpus of documents in the domain. The response includes information from the corpus of documents. The user interface provides at least a portion of the response to the content provider.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content generation are described. An embodiment of the present disclosure includes identifying, by a user experience platform, a content distribution campaign. The user experience platform obtains feedback for the content distribution campaign. Embodiments of the present disclosure further include generating content for a modified content distribution campaign based on the feedback using a machine learning model.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a campaign brief based on the prompt. The campaign brief includes an identification of a user segment, an identification of a communication channel, and a content element. The machine learning model is trained using training data including a plurality of campaign briefs. A user experience platform provides content corresponding to the content element to a user from the user segment via the communication channel based on the campaign brief.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a prompt describing an element of a content distribution campaign. A machine learning model generates a user journey based on the prompt. The user journey includes at least one touchpoint for the content distribution campaign. The user experience platform provides digital content to a user corresponding to the at least one touchpoint based on the user journey.

Abstract: A method in a client backoff filter. The method includes receiving, from a server, a backoff data packet having backoff metadata. The method also includes saving the backoff metadata in a cache local to the client backoff filter. The method also includes receiving a subsequent request for service. The method also includes checking whether an attribute of the subsequent request for service matches the backoff metadata in the cache. The method also includes performing, responsive to checking, an action including at least one of the group including: blocking, responsive to the attribute matching the backoff metadata in the cache, transmission of the subsequent request for service to a server, and transmitting, responsive to the attribute failing to match the backoff metadata in the cache, the subsequent request for service to the server.

Abstract: Techniques for distributing online ads by targeting online ad requests using test data to predict performance. The techniques can target ad requests in automated online advertising systems in which ad requests are generated by an ad exchange server and bids are placed by marketer devices in real time. The techniques aggregate bid units and compare bid unit characteristics to select bid units to target in ways that address data sparsity, variance, and volume issues. Data sparsity issues are addressed by aggregating bid units to avoid using bid units having insufficient data. Data variance issues are addressed by computing stability metrics for bid units that enable discounting the effect of outliers. Data volume and processing efficiency issues are addressed by grouping similar bid units based on similar metrics (e.g., normalized ROI) and/or similar stability scores, and then ranking the bid units and selecting the top ranked bid units to target.

Abstract: Methods, articles, and systems for determining a bidding strategy for on-line query answer set or contextual advertisement positions for marketing options is described herein.

Abstract: A data management system for managing services rendered within a network of one or more medical service entities and one or more insurance entities includes a provider interface, a payment interface, and a processing engine. The provider interface receives information about one or more medical services in a first format. The processing engine generates an invoice based on the information about the one or more medical services and determines that the invoice is to be paid in a plurality of installments. The payment interface receives each of the plurality of installments from one or more payment services. The provider interface further generates, in a second format, a transaction for each of the plurality of installments and sends said transactions to the one or more medical service entities. The provider interface then transmits information indicating completion of the installments to the one or more medical service entities in the second format.

Abstract: Techniques for distributing online ads by targeting online ad requests using test data to predict performance. The techniques can target ad requests in automated online advertising systems in which ad requests are generated by an ad exchange server and bids are placed by marketer devices in real time. The techniques aggregate bid units and compare bid unit characteristics to select bid units to target in ways that address data sparsity, variance, and volume issues. Data sparsity issues are addressed by aggregating bid units to avoid using bid units having insufficient data. Data variance issues are addressed by computing stability metrics for bid units that enable discounting the effect of outliers. Data volume and processing efficiency issues are addressed by grouping similar bid units based on similar metrics (e.g., normalized ROI) and/or similar stability scores, and then ranking the bid units and selecting the top ranked bid units to target.

Abstract: A bearing assembly for rotatably supporting a shaft member having an outer ring, having a first bearing raceway, and an inner ring, having a second bearing raceway. The raceways are opposingly spaced relative to each other. The inner ring includes a plurality of tang members extending in a cantilevered configuration from at least one end of the inner ring having slots formed therebetween. Bearing members are positioned in a space between and in engagement with the first and second bearing raceways. An undercut groove extends circumferentially along an inner surface of the inner ring generally adjacent the plurality of tang members. The undercut groove is operable to increase an effective cantilever distance of the plurality of tang members. The assembly further includes a locking member engaging the plurality of tang members and exerting a compressing force upon the plurality of tang members to couple the inner ring to the shaft.

Abstract: Techniques are disclosed for generating a forward-looking, goal seeking marketing plan that links prior media purchase transactions to predicted future financial results for a brand, product market, or campaign. A computing device is configured to receive input data associated with one or more marketing elements, such as television ads, print ads, and online ads. From the input data, response factors corresponding to each marketing element can be calculated. These response factors can be used to generate a model upon which future marketing transactions can be planned in accordance with scenarios associated with a particular marketing campaign. A marketing plan can be generated from the model in which some or all marketing elements are ordered in a flighting schedule that provides optimum financial results for a selected scenario.

Abstract: An ensemble model is described that is usable to predict revenue metrics for one or more keywords. The ensemble model may be formed using both a historical model and a user behavior model. In one or more implementations, weights are assigned to the historical model and/or the user behavior model based on one or more criteria. Various processing techniques of the ensemble model may utilize the historical model and the user behavior model to predict revenue metrics for one or more keywords.

Abstract: A bearing assembly for rotatably supporting a shaft member having an outer ring, having a first bearing raceway, and an inner ring, having a second bearing raceway. The raceways are opposingly spaced relative to each other. The inner ring includes a plurality of tang members extending in a cantilevered configuration from at least one end of the inner ring having slots formed therebetween. Bearing members are positioned in a space between and in engagement with the first and second bearing raceways. An undercut groove extends circumferentially along an inner surface of the inner ring generally adjacent the plurality of tang members. The undercut groove is operable to increase an effective cantilever distance of the plurality of tang members. The assembly further includes a locking member engaging the plurality of tang members and exerting a compressing force upon the plurality of tang members to couple the inner ring to the shaft.

Abstract: A data management system for managing services rendered within a network of one or more medical service entities and one or more insurance entities includes a provider interface, a payment interface, and a processing engine. The provider interface receives information about one or more medical services in a first format. The processing engine generates an invoice based on the information about the one or more medical services and determines that the invoice is to be paid in a plurality of installments. The payment interface receives each of the plurality of installments from one or more payment services. The provider interface further generates, in a second format, a transaction for each of the plurality of installments and sends said transactions to the one or more medical service entities. The provider interface then transmits information indicating completion of the installments to the one or more medical service entities in the second format.

Abstract: Methods, articles, and systems for determining a bidding strategy for on-line query answer set or contextual advertisement positions for marketing options is described herein.

Abstract: Methods, articles, and systems for determining a bidding strategy for on-line query answer set or contextual advertisement positions for marketing options is described herein.

Abstract: Methods, articles, and systems for determining a bidding strategy for on-line query answer set or contextual advertisement positions for marketing options is described herein.