Recommending content based on user behavior tracking and analysis

A system comprising:

• at least one processor configured to perform operations comprising:
• determining tracking data for a user indicating how the user interacted with a menu structure of a streaming media application;
• selecting a group from a plurality of user groups into which to group the user based on the tracking data, wherein each group comprises data from a plurality of users;
• determining a plurality of content available for recommendation selection;
• selecting a first content of the plurality of content as a content recommendation based on previous viewing patterns associated with the plurality of users of the selected group, wherein the viewing patterns of the plurality of users of the selected group for the first content are stored as bits in a tree data structure, wherein the first content is divided into a number of segments of content, and wherein a number of levels of the tree data structure corresponds to a log of the number of segments, and wherein the bits indicate whether or not each segment of each level was displayed to the user;
• and
• providing, via the menu structure, the content recommendation.

A non-transitory, tangible computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• determining tracking data for a user indicating how the user interacted with a menu structure of a streaming media application;
• selecting a group from a plurality of user groups into which to group the user based on the tracking data, wherein each group comprises data from a plurality of users;
• determining a plurality of content available for recommendation selection;
• selecting a first content of the plurality of content as a content recommendation based on previous viewing patterns associated with the plurality of users of the selected group, wherein the viewing patterns of the plurality of users of the selected group for the first content are stored as bits in a tree data structure, wherein the first content is divided into a number of segments of content, and wherein a number of levels of the tree data structure corresponds to a log of the number of segments, and wherein the bits indicate whether or not each segment of each level was displayed to the user;
• and
• providing, via the menu structure, the content recommendation.