Hi, I am working on a sample case study & looking for some insights.
Suppose we have a dataset of videos with their features like category,duration,no of views, no of comments,rating etc. along with the viewer IDs of those who watched it. (say 1 lakh records). Also we have a dataset of viewers with their parameters like viewer ID, age,sex,profession etc. (say 5000). We have to develop a recommendation engine to
Recommend videos to viewers
Identify target viewers for particular videos
Please share your ideas of how to approach this case study & also the technique to be used ie clustering or association rules etc.