6. A system, comprising: at least one computing device; and at least one application executable in the at least one computing device, the at least one application causing the at least one computing device to: cause a first video content feature to be rendered in a user interface for display on a client; determine that a user prefers a first character based at least upon a first interaction data, the first character being represented by a corresponding first cast member of the first video content feature; cause a timeline user interface that segments the first video content feature into a plurality of scenes to be rendered in response to obtaining the first interaction data; obtain second user interaction data from the client based at least in part upon an interaction with at least one character feedback interface rendered on the timeline user interface, the at least one character feedback interface being associated with a current scene included in the plurality of scenes; determine that the user prefers a second character based at least upon the second interaction data, the second character being represented by a corresponding second cast member of a second video content feature; determine a relationship score based at least upon the first interaction data and the second interaction data, the relationship score quantifying a degree of commonality between the first character and the second character and being calculated based at least in part upon a proportion of users who have expressed a preference towards both the first character and the second character; and generate a recommendation to play at least one of the first video content feature or the second video content feature based at least upon the relationship score.
6. A system, comprising: at least one computing device; and at least one application executable in the at least one computing device, the at least one application causing the at least one computing device to: cause a first video content feature to be rendered in a user interface for display on a client; determine that a user prefers a first character based at least upon a first interaction data, the first character being represented by a corresponding first cast member of the first video content feature; cause a timeline user interface that segments the first video content feature into a plurality of scenes to be rendered in response to obtaining the first interaction data; obtain second user interaction data from the client based at least in part upon an interaction with at least one character feedback interface rendered on the timeline user interface, the at least one character feedback interface being associated with a current scene included in the plurality of scenes; determine that the user prefers a second character based at least upon the second interaction data, the second character being represented by a corresponding second cast member of a second video content feature; determine a relationship score based at least upon the first interaction data and the second interaction data, the relationship score quantifying a degree of commonality between the first character and the second character and being calculated based at least in part upon a proportion of users who have expressed a preference towards both the first character and the second character; and generate a recommendation to play at least one of the first video content feature or the second video content feature based at least upon the relationship score. 13. The system of claim 6 , wherein the relationship score is further calculated based at least in part upon a quantity of users who have expressed a preference towards both the first character and the second character.