Abstract: Systems, methods, and storage media for selecting video portions for a video synopsis of streaming video content are disclosed. Exemplary implementations may: extract at least a portion of an audio track from a live stream of video content over time to create an audio file; convert the audio file from a time domain to a frequency domain; generate a visual representation of the spectrum of frequencies of the audio signal as it varies with time; apply a classification algorithm to the visual representation to generate interest probability scores for portions of the audio signal; select portions of the audio signal that meet or exceed a threshold probability score; correlate the selected portions of the audio signal to corresponding segments of the video content that has been streamed; and select the corresponding segments of the video content for inclusion in the synopsis.

Abstract: Systems and methods for making video content recommendations. Metadata relating to at least one content item consumed by the user is received. The video data is stored as at least one video data file for each of the content items and frame change times are extracted for each of the content items from corresponding of the at least one video data file. Frame image files are created for each of the content items based on corresponding sets of the frame times and entity data is extracted from the frame files. Audio data of each of the content items is converted to text data and the entity data and the text data are merged for each content item to create a list of tokens corresponding to each content item. A document vector is determined for each content item based on the list of tokens corresponding to that content item and the similarity of each item of content to each item in a different set of content items is determined based on the vectors.