Abstract: Automated configuration and deployment of models for projects of business enterprises. A model deployment configuration framework includes a template generated at a user interface. The template prompts a user to select model configuration aspects and model operating factors, and submit the selected aspects and factors to configure and deploy the model in a computing environment of the enterprise's computer system for packaging, training, scoring, and/or auditing the model in connection with a project of the enterprise.

Abstract: A clocking architecture for a memory module is configurable to independently select either rising or falling edges of an input clock as respective references for generation of an internal clock and an output clock. The clocking architecture supports reference edge selection in both a single data rate (SDR) mode and a double data rate (DDR) mode while maintaining a fixed phase relationship between the input clock and the output clock regardless of the reference edge selection.

Abstract: A memory controller conveys a clock signal with command and address signals to a registered clock driver (RCD) on a memory module. A controller-side chip interface on the RCD supports both source-synchronous and filtered clocking for receipt of the command and address signals, the selection between the two clocking schemes dependent upon the noise environment impacting the clock and command/address signals. If the noise is predominantly correlated, then the chip interface is placed in a source-synchronous clocking mode. If the noise is predominantly uncorrelated, then the chip interface is placed in a filtered clocking mode that filters out uncorrelated noise from the clock signal.

Abstract: Disclosed is a system for generating personalized recommendations based on dynamic and customized content selections and modeling of the content selections. The system may receive a request with an identifier and a query, and may obtain a particular recommendation configuration based the identifier and the query. The system may retrieve a set of content that satisfies the query and that is identified with at least one content prioritization parameter specified in the particular recommendation configuration, may generate a set of models of one or more model types that model relevance between the set of content and a different event specified in the particular recommendation configuration, and may compute a score for each content in each model based on the modeled relevance. The system may present recommended content in a different order than the set of content based on aggregate scores compiled for each content from the set of models.

Abstract: A computerized method of representing customer interactions with an organization includes: receiving, by a computing device, customer web interaction data segments and customer conversation data segments; pre-processing the customer conversation data segments to remove specified types of information; scoring each of the pre-processed customer conversation data segments; pre-processing the customer web data interaction segments; extracting from the pre-processed customer web interaction data segments tokens; combining the pre-processed customer conversation data segments and the pre-processed customer web interaction data segments into a customer data set; parsing the customer data set into one or more windows; assigning, for each window, pre-trained weights to each of the tokens in each window; assigning a transaction theme to each window based on the tokens in each window; and generating, based on the transaction themes, a ranked list of topic keywords reflecting the customer web interaction data segments an

Abstract: Disclosed is a system for generating personalized recommendations based on dynamic and customized content selections and modeling of the content selections. The system may receive a request with an identifier and a query, and may obtain a particular recommendation configuration based the identifier and the query. The system may retrieve a set of content that satisfies the query and that is identified with at least one content prioritization parameter specified in the particular recommendation configuration, may generate a set of models of one or more model types that model relevance between the set of content and a different event specified in the particular recommendation configuration, and may compute a score for each content in each model based on the modeled relevance. The system may present recommended content in a different order than the set of content based on aggregate scores compiled for each content from the set of models.

Abstract: A memory controller conveys a clock signal with command and address signals to a registered clock driver (RCD) on a memory module. A controller-side chip interface on the RCD supports both source-synchronous and filtered clocking for receipt of the command and address signals, the selection between the two clocking schemes dependent upon the noise environment impacting the clock and command/address signals. If the noise is predominantly correlated, then the chip interface is placed in a source-synchronous clocking mode. If the noise is predominantly uncorrelated, then the chip interface is placed in a filtered clocking mode that filters out uncorrelated noise from the clock signal.

Abstract: Systems and methods for generating proposed search queries based on sequence semantics. The method includes receiving clickstream data from a database. The method also includes generating for each user a digital timeline based on the clickstream data. The method further includes determining for each user event pairs based on the digital timeline. The method also includes generating a vector matrix including the event pairs for each user. The method further includes receiving an initial search query from a user. The method also includes determining an intended user activity based on the initial search query. The method further includes generating proposed search queries based on the vector matrix, the intended user activity, and the initial search query.

Abstract: A computerized method of representing customer interactions with an organization includes: receiving, by a computing device, customer web interaction data segments and customer conversation data segments; pre-processing the customer conversation data segments to remove specified types of information; scoring each of the pre-processed customer conversation data segments; pre-processing the customer web data interaction segments; extracting from the pre-processed customer web interaction data segments tokens; combining the pre-processed customer conversation data segments and the pre-processed customer web interaction data segments into a customer data set; parsing the customer data set into one or more windows; assigning, for each window, pre-trained weights to each of the tokens in each window; assigning a transaction theme to each window based on the tokens in each window; and generating, based on the transaction themes, a ranked list of topic keywords reflecting the customer web interaction data segments an

Abstract: A computerized method of representing customer interactions with an organization includes: receiving, by a computing device, customer web interaction data segments and customer conversation data segments; pre-processing the customer conversation data segments to remove specified types of information; scoring each of the pre-processed customer conversation data segments; pre-processing the customer web data interaction segments; extracting from the pre-processed customer web interaction data segments tokens; combining the pre-processed customer conversation data segments and the pre-processed customer web interaction data segments into a customer data set; parsing the customer data set into one or more windows; assigning, for each window, pre-trained weights to each of the tokens in each window; assigning a transaction theme to each window based on the tokens in each window; and generating, based on the transaction themes, a ranked list of topic keywords reflecting the customer web interaction data segments an

Abstract: In one of many possible implementations, a system includes a content delivery subsystem providing online resource data and programming data associated with media content. The system further includes a content processing subsystem configured to communicate with the content delivery subsystem via a network. The content processing subsystem is configured to receive the programming data and to generate a program guide user interface including at least a subset of the programming data. The content processing subsystem is configured to access and utilize the online resource data to generate the program guide user interface when the online resource data is accessible via the network. The content processing subsystem is further configured to maintain and utilize offline resource data instead of the online resource data to generate the program guide user interface when the online resource data is inaccessible via the network.

Abstract: In one of many possible implementations, a system includes a content delivery subsystem providing online resource data and programming data associated with media content. The system further includes a content processing subsystem configured to communicate with the content delivery subsystem via a network. The content processing subsystem is configured to receive the programming data and to generate a program guide user interface including at least a subset of the programming data. The content processing subsystem is configured to access and utilize the online resource data to generate the program guide user interface when the online resource data is accessible via the network. The content processing subsystem is further configured to maintain and utilize offline resource data instead of the online resource data to generate the program guide user interface when the online resource data is inaccessible via the network.

Abstract: In one of many possible implementations, a system includes a content delivery subsystem providing online resource data and programming data associated with media content. The system further includes a content processing subsystem configured to communicate with the content delivery subsystem via a network. The content processing subsystem is configured to receive the programming data and to generate a program guide user interface including at least a subset of the programming data. The content processing subsystem is configured to access and utilize the online resource data on demand to generate the program guide user interface when the online resource data is accessible via the network. In certain implementations, the content processing subsystem includes offline resource data and is configured to utilize the offline resource data to generate the program guide user interface when the online resource data is inaccessible via the network.

Abstract: In one of many possible implementations, a system includes a content delivery subsystem providing online resource data and programming data associated with media content. The system further includes a content processing subsystem configured to communicate with the content delivery subsystem via a network. The content processing subsystem is configured to receive the programming data and to generate a program guide user interface including at least a subset of the programming data. The content processing subsystem is configured to access and utilize the online resource data on demand to generate the program guide user interface when the online resource data is accessible via the network. In certain implementations, the content processing subsystem includes offline resource data and is configured to utilize the offline resource data to generate the program guide user interface when the online resource data is inaccessible via the network.