Abstract: A method is provided for performing page personalization at an edge server. In response to a page request, page mark-up is retrieved from a page server, the page mark-up including embedded edge server instructions. A plurality of content feature vectors are parsed from the embedded edge server instructions, the plurality of content feature vectors being respectively associated with a plurality of content modules. A user feature vector associated with the user is determined. The user feature vector is matched against the plurality of content feature vectors to determine a closest matching content feature vector to the user feature vector. A selected content module associated with the closest matching content feature vector is retrieved. The selected content module is combined with the page mark-up to define an edge-personalized page mark-up.

Abstract: A method is provided for performing page personalization at an edge server. In response to a page request, page mark-up is retrieved from a page server, the page mark-up including embedded edge server instructions. A plurality of content feature vectors are parsed from the embedded edge server instructions, the plurality of content feature vectors being respectively associated with a plurality of content modules. A user feature vector associated with the user is determined. The user feature vector is matched against the plurality of content feature vectors to determine a closest matching content feature vector to the user feature vector. A selected content module associated with the closest matching content feature vector is retrieved. The selected content module is combined with the page mark-up to define an edge-personalized page mark-up.

Abstract: A method is provided for performing page personalization at an edge server. In response to a page request from a user's browser, page mark-up is retrieved from a page server, the page mark-up including embedded edge server instructions. An edge server matching object is parsed from the embedded edge server instructions, the edge server matching object defining a plurality of content feature vectors which are respectively associated with a plurality of content modules. A user feature vector associated with the user is determined. The user feature vector is matched against the plurality of content feature vectors to determine a closest matching content feature vector to the user feature vector. A selected content module associated with the closest matching content feature vector is retrieved. The selected content module is combined with the page mark-up to define an edge-personalized page mark-up.

Abstract: A method is provided for performing page personalization at an edge server. In response to a page request from a user's browser, page mark-up is retrieved from a page server, the page mark-up including embedded edge server instructions. An edge server matching object is parsed from the embedded edge server instructions, the edge server matching object defining a plurality of content feature vectors which are respectively associated with a plurality of content modules. A user feature vector associated with the user is determined. The user feature vector is matched against the plurality of content feature vectors to determine a closest matching content feature vector to the user feature vector. A selected content module associated with the closest matching content feature vector is retrieved. The selected content module is combined with the page mark-up to define an edge-personalized page mark-up.

Abstract: A system and method for processing a plurality of secondary data sets includes the steps of aggregating the secondary data sets to form a primary data set comprising of the secondary data sets, syndicating each of the secondary data sets within the primary data set for standardizing the format of each of the secondary data sets, and geocoding each of the secondary data sets within the primary data set with a geocode, the geocode indicating a geographic location relating to information contained within the secondary data set.