Know ledge is power. The view history. What could one mine out of the history of a user's watch on their platform?trends, political spectrum, hobbies, interest, to name the few. Let break an example here. Reoccurring public figure name across several video might suggest a following of that certain figure. What that figure represents in his/her life work would suggest that the user has an affiliation to that work/beliefs. Video length last watch point. There are two perspectives at least in all cases. Here, the users understands that that is the point in which he can resume his watch. The other, we can filter this to understand the users watch span/attention to such a material. Given that we know today, that viewpoints data can be captured during the length of the video, we can dissect the points of agreement on certain parts of speech that resonate with the viewers.Similar to public figures, we can determine certain events just as well as to what the congregation signify to focus on the ideals of said user. NEXUS, UNITED WE STAND 2018. Short length videos in large amounts could reflect the attention span of such user. Over time it could affect the ability of the user to take pause for process. 46 video visits of the day suggest the approximate watch time on the platform. Playlist is the users watch that is categorized by his lens. We uncover a music playlist that is of the dubstep genre. There are several quick guesses that can be drawn about the users character to tuning to such music. This abstract field takes several guesses to be reliable but if not other information presents itself, we can take this as value.
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From @mdsolehinsabtu