Hi everyone. I am trying to use PredictionIO to build a recommender for social-media-like platform, but as I am new to recommender I would like to get some suggestion from the community here.
The case is something like Twitter: - A user can create an item - A user can like an item - A user can follow another user I have spent sometime trying the official templates, but it seems that they cannot take advantage of "follow another user" relationship. I notice that the "Universal Recommender" from actionML is more powerful than the official template, but also more complex, and I don't know if it is suitable for my use case. Is "Universal Recommender" right choice? Or is there a simpler solution? My machine has 16GB memory and around 50,000 users. Thanks in advance! Best, Brian
