Recognition and restructuring of previously presented materials

A computer-implemented, comprising:

• analyzing electronic media content embedded in an electronic presentment structure presented to a user;
• detecting, based on the analyzing, portions of the electronic media content previously consumed by the user;
• and
• modifying the electronic presentment structure, based on detecting one or more portions previously consumed, to distinguish the electronic media content previously consumed by the user from other portions of the electronic media content.

A system, comprising:

• a processor configured to initiate operations including:
• performing natural language processing (NLP) on a machine-encoded file to determine one or more file segment classifiers, wherein the machine-encoded file is retrieved via a data communications network;
• detecting, within the machine-encoded file, previously consumed content corresponding to the one or more file segment classifiers by performing a computer database search for NLP elements identified within electronic content previously presented to a user that match NLP elements extracted from the machine-encoded file, wherein the search is performed with respect to a user-specific consumption corpus database;
• and
• based on the detecting, modifying an electronic presentment structure for presenting the machine-encoded file to a user electronically, wherein the electronic presentment structure is modified to distinguish portions corresponding to the previously consumed content within the machine-encoded file from other portions of the machine-encoded file.

A computer program product, the computer program product comprising:

• one or more computer-readable storage media and program instructions collectively stored on the one or more computer-readable storage media, the program instructions executable by a processor to cause the processor to initiate operations including:
• performing natural language processing (NLP) on a machine-encoded file to determine one or more file segment classifiers, wherein the machine-encoded file is retrieved via a data communications network;
• detecting, within the machine-encoded file, previously consumed content corresponding to the one or more file segment classifiers by performing a computer database search for NLP elements identified within electronic content previously presented to a user that match NLP elements extracted from the machine-encoded file, wherein the search is performed with respect to a user-specific consumption corpus database;
• and
• based on the detecting, modifying an electronic presentment structure for presenting the machine-encoded file to a user electronically, wherein the electronic presentment structure is modified to distinguish portions corresponding to the previously consumed content within the machine-encoded file from other portions of the machine-encoded file.