Abstract: A system is presented that comprises a third-party ad provider that serves advertisements to different websites being viewed at a plurality of display devices. The advertisements may be from different advertisers, and may include advertisements from a content service provider. The advertisements from the service provider may include a promotion for a video program presented by the service provider and may provide a selectable option for a viewer of the website to have that viewer's DVR service automatically programmed to record the promoted video program. The selectable option may be selected with a single action by the viewer, and all communications, associations between the display device and the DVR service, and programming of the DVR service may occur automatically without intervention by the viewer.

Abstract: A system is presented that comprises a third-party ad provider that serves advertisements to different websites being viewed at a plurality of display devices. The advertisements may be from different advertisers, and may include advertisements from a content service provider. The advertisements from the service provider may include a promotion for a video program presented by the service provider and may provide a selectable option for a viewer of the website to have that viewer's DVR service automatically programmed to record the promoted video program. The selectable option may be selected with a single action by the viewer, and all communications, associations between the display device and the DVR service, and programming of the DVR service may occur automatically without intervention by the viewer.

Abstract: A computer-implemented method for peer-based invoice auditing is described. The computer-implemented method includes the steps of generating a first plurality of rate data by scraping rate data from a first invoice, first classifying the first plurality of rate data based on identifying rate data types in the first plurality of rate data, first populating a plurality of rate tables with the first plurality of rate data based on the rate data types in the first plurality of rate data, wherein each of the plurality of rate tables are populated with rate data from previously scraped invoices and each of the plurality of rate tables tracks a different type of rate data, first auditing the invoice based on comparing a plurality of values generated from data in each of the plurality of rate tables, and generating first audit result data based on the first auditing.

Abstract: A system is presented that comprises a third-party ad provider that serves advertisements to different websites being viewed at a plurality of display devices. The advertisements may be from different advertisers, and may include advertisements from a content service provider. The advertisements from the service provider may include a promotion for a video program presented by the service provider and may provide a selectable option for a viewer of the website to have that viewer's DVR service automatically programmed to record the promoted video program. The selectable option may be selected with a single action by the viewer, and all communications, associations between the display device and the DVR service, and programming of the DVR service may occur automatically without intervention by the viewer.

Abstract: A system is presented that comprises a third-party ad provider that serves advertisements to different websites being viewed at a plurality of display devices. The advertisements may be from different advertisers, and may include advertisements from a content service provider. The advertisements from the service provider may include a promotion for a video program presented by the service provider and may provide a selectable option for a viewer of the website to have that viewer's DVR service automatically programmed to record the promoted video program. The selectable option may be selected with a single action by the viewer, and all communications, associations between the display device and the DVR service, and programming of the DVR service may occur automatically without intervention by the viewer.

Abstract: A system is presented that comprises a third-party ad provider that serves advertisements to different websites being viewed at a plurality of display devices. The advertisements may be from different advertisers, and may include advertisements from a content service provider. The advertisements from the service provider may include a promotion for a video program presented by the service provider and may provide a selectable option for a viewer of the website to have that viewer's DVR service automatically programmed to record the promoted video program. The selectable option may be selected with a single action by the viewer, and all communications, associations between the display device and the DVR service, and programming of the DVR service may occur automatically without intervention by the viewer.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialogue consisting of questions from the computing facility and the answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a machine learning facility. The process may begin with an initial question being received by the machine learning facility from the user. The user may then be provided with a dialog consisting of questions from the machine learning facility and answers provided by the user. The machine learning facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the machine learning facility may be improved through feedback provided by the user.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.

Abstract: In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a machine learning facility. The process may begin with an initial question being received by the machine learning facility from the user. The user may then be provided with a dialog consisting of questions from the machine learning facility and answers provided by the user. The machine learning facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the machine learning facility may be improved through feedback provided by the user.

Abstract: A method and apparatus for preconditioning a decalcomania transfer for application to a receiving substrate in which the decalcomania is passed through a solution to precondition it for transfer. The decalcomania is fed through a pair of opposed web-like members, passed through a solution bath and has excess solution removed from the decalcomania prior to application to the receiving surface. By controlling the speed of the web-like members, the submersion time of the decalcomania in the solution is controlled. The apparatus is a container which houses the web-like feeder belts and the solution bath. The bath is partially enclosed to minimize evaporation of the solution. A pair of rollers at the outlet of the apparatus control the amount of solution remaining in the decalcomania such that the decalcomania exiting the apparatus will have sufficient solution to allow easy transfer to the receiving surface yet not have too much solution as to result in excess dripping of solution on the receiving item.