Interest based advertising inside a content delivery network

A computer-implemented method performed by an edge server of a content delivery network, comprising:

• using a machine learning model to execute one or more learning algorithms, by the edge server of the content delivery network, to cluster one or more tags of a set of tags, wherein the machine learning model is trained to identify one or more tags based, at least in part, on similarities amongst the set of tags;
• obtaining a set of data objects from a server outside of the content delivery network, each data object of the set of data objects associated with one or more tags, wherein at least one data object of the set of data objects is communicated by an origin server outside of the content delivery network, the at least one data object associated with its own set of tags;
• assigning a weighted value to each data object of the set of data objects based on a number of matches between the one or more tags associated with each data object and the clustered one or more tags of the set of tags determined by using the machine learning model;
• and
• generating, by the edge server of the content delivery network, content comprising a data object having a highest weighted value to be displayed on a web page in response to a request, from a client device, for the content.

A system, comprising:

• one or more processors;
• and
• memory comprising computer-executable instructions that, upon execution, cause the system to:
• use, by an edge server of a content delivery network, a machine learning model to execute one or more machine learning algorithms to cluster one or more tags of a first set of tags;
• apply a ranking to the clustered one or more tags;
• obtain a plurality of data objects from a server outside of the content delivery network, each data object of the plurality of data objects associated with a second set of tags;
• assign a weighted value to each data object of the plurality of data objects based on a number of matches between the second set of tags associated with each data object and the first set of tags determined by using the machine learning model;
• and
• generate, by the edge server of the content delivery network, content comprising a data object having a highest weighted value to be displayed on a web page provided by the edge server of the content delivery network in response to a request, from a client device, for the content.