Abstract: Systems and methods for dynamically delivering web content are provided herein. A method may include determining behavior analytics of an end user and device related information for a first computing device used by the end user, as well as comparing the behavior analytics, and other contextual information, of an end user and the device related information for the first computing device used by the end user to a contextual vocabulary that includes context segments that define contextual information of a plurality of end users and device related information for computing devices used by the plurality of end users. The method includes generating a context segment path for an end user, the context segment path having a plurality of context segments that have been selected from the contextual vocabulary, and dynamically creating a web page having web content that is selected and formatted based upon the context segment path.

Abstract: Contextual vocabulary and methods of use are provided herein. A method may include obtaining contextual properties for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of ambient information sources, including selection from a plurality of contextual repositories. Also, the method may include calculating a trust level for each of the plurality of customer analytic information sources and each of the plurality of device information databases, and building a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels.

Abstract: Systems and methods for dynamically delivering web content are provided herein. A method may include determining behavior analytics of an end user and device related information for a first computing device used by the end user, as well as comparing the behavior analytics, and other contextual information, of an end user and the device related information for the first computing device used by the end user to a contextual vocabulary that includes context segments that define contextual information of a plurality of end users and device related information for computing devices used by the plurality of end users. The method includes generating a context segment path for an end user, the context segment path having a plurality of context segments that have been selected from the contextual vocabulary, and dynamically creating a web page having web content that is selected and formatted based upon the context segment path.

Abstract: Systems and methods for dynamically delivering web content are provided herein. A method may include determining behavior analytics of an end user and device related information for a first computing device used by the end user, as well as comparing the behavior analytics, and other contextual information, of an end user and the device related information for the first computing device used by the end user to a contextual vocabulary that includes context segments that define contextual information of a plurality of end users and device related information for computing devices used by the plurality of end users. The method includes generating a context segment path for an end user, the context segment path having a plurality of context segments that have been selected from the contextual vocabulary, and dynamically creating a web page having web content that is selected and formatted based upon the context segment path.

Abstract: Contextual vocabulary and methods of use are provided herein. A method may include obtaining contextual properties for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of ambient information sources, including selection from a plurality of contextual repositories. Also, the method may include calculating a trust level for each of the plurality of customer analytic information sources and each of the plurality of device information databases, and building a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels.

Abstract: Contextual vocabulary and methods of use are provided herein. A method may include obtaining contextual properties for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of ambient information sources, including selection from a plurality of contextual repositories. Also, the method includes calculating a trust level for each of the plurality of customer analytic information sources and each of the plurality of device information databases, and building a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels.

Abstract: Systems and methods for dynamically delivering web content are provided herein. A method may include determining behavior analytics of an end user and device related information for a first computing device used by the end user, as well as comparing the behavior analytics, and other contextual information, of an end user and the device related information for the first computing device used by the end user to a contextual vocabulary that includes context segments that define contextual information of a plurality of end users and device related information for computing devices used by the plurality of end users. The method includes generating a context segment path for an end user, the context segment path having a plurality of context segments that have been selected from the contextual vocabulary, and dynamically creating a web page having web content that is selected and formatted based upon the context segment path.

Abstract: Contextual vocabulary and methods of use are provided herein. A method may include obtaining contextual properties for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of ambient information sources, including selection from a plurality of contextual repositories. Also, the method includes calculating a trust level for each of the plurality of customer analytic information sources and each of the plurality of device information databases, and building a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels.