Hey. I'm new here, so please let me know if it is not an appropriate question.
I think about taking advantage of the Markov Decision Process (MDP) in the recommendation system. I know that it's possible as described here: https://medium.com/inside-machine-learning/recommendation-systems-using-reinforcement-learning-de6379eecfde but have no more details regarding it.
I would like to implement this system in my startup. I'm the CEO of a language learning platform Linguido where we leverage the power of storytelling and let users learn languages by reading engaging interactive stories in combination with several language learning tools. We know that everyone enjoys different stories, so we would like to implement a system that would match the right content with the right user based on their interests and known vocabulary.
However, to successfully deploy such a thing we have to ask for funding. If you happen to know anything about the cost of such a project or time necessary to develop it I will be grateful if you share with me this information. Best regards
The start may be a bit challenging, however., if you really need to implement it and keep using in your tasks it will be a fun, see some sources e.g., https://github.com/awarebayes/RecNN
https://arxiv.org/pdf/1701.07274.pdf?source=post_page---------------------------
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