Content curation for course generation

A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising:

• identifying a plurality of content segments of a plurality of content sources of a subject having greater than a threshold similarity, wherein the plurality of content segments comprises a plurality of video segments, wherein the plurality of content segments is determined to have greater than the threshold similarity based upon a plurality of matching features, wherein the plurality of matching features includes at least one matching topic of the plurality of content segments, wherein for the plurality of video segments, the at least one matching topic is determined in each of the plurality of video segments via at least one support vector machine comprising at least one topic identification classifier that is trained to recognize at least one topic in accordance with audiovisual features of the each of the plurality of video segments;
• determining a first topic is part of a core topic of the subject based upon a number of instances of the first topic within the plurality of the content segments;
• receiving a request from a user device for a course for the subject;
• assembling the course for the subject, the course including at least one of the plurality of the content segments having the first topic that is determined to be part of the core topic;
• and
• presenting the course to the user device.

A device comprising:

• a processing system including at least one processor;
• and
• a computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising:
• identifying a plurality of content segments of a plurality of content sources of a subject having greater than a threshold similarity, wherein the plurality of content segments comprises a plurality of video segments, wherein the plurality of content segments is determined to have greater than the threshold similarity based upon a plurality of matching features, wherein the plurality of matching features includes at least one matching topic of the plurality of content segments, wherein for the plurality of video segments, the at least one matching topic is determined in each of the plurality of video segments via at least one support vector machine comprising at least one topic identification classifier that is trained to recognize at least one topic in accordance with audiovisual features of the each of the plurality of video segments;
• determining a first topic is part of a core topic of the subject based upon a number of instances of the first topic within the plurality of the content segments;
• receiving a request from a user device for a course for the subject;
• assembling the course for the subject, the course including at least one of the plurality of the content segments having the first topic that is determined to be part of the core topic;
• and
• presenting the course to the user device.