Dynamic Condensing of Digital Content with Insertion of Expansion Elements

A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to:

• train, through a machine learning process, a machine learning computer model to predict a user attention score for segments of content based on features of the content and historical user attention data;
• process, by the trained machine learning computer model, new content to associate with each segment, in a plurality of segments, of the new content, a corresponding user attention score;
• rank the segments, in the plurality of segments, of the new content relative to one another based on the corresponding user attention scores of the segments;
• and
• render a compacted view of the new content on a client computing system based on the ranking of the segments, wherein a first number of segments are rendered in the compacted view and a second number of segments are not rendered in the compacted view and are replaced with an inserted user selectable expansion element.

An apparatus comprising:

• at least one processor;
• and
• at least one memory coupled to the at least one processor, wherein the at least one memory comprises instructions which, when executed by the at least one processor, cause the at least one processor to:
• train, through a machine learning process, a machine learning computer model to predict a user attention score for segments of content based on features of the content and historical user attention data;
• process, by the trained machine learning computer model, new content to associate with each segment, in a plurality of segments, of the new content, a corresponding user attention score;
• rank the segments, in the plurality of segments, of the new content relative to one another based on the corresponding user attention scores of the segments;
• and
• render a compacted view of the new content on a client computing system based on the ranking of the segments, wherein a first number of segments are rendered in the compacted view and a second number of segments are not rendered in the compacted view and are replaced with an inserted user selectable expansion element.