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I face a problem as below:

  1. There is a novel app and need to find the most attractive chapter in previous 30 chapters of each novel
  2. So that we can limit a user continue unless he make payment

I didn't find such paper/idea through google .

What I thought is :

Set different payment point in different chapter, show to random user and record the CTR . Then we can use it to get payment distribution to set proper payment point . But we don't have many user now, and cost would be large .

So I wonder is there any NLP way to detect most attractive chapter ?

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  • $\begingroup$ How do you define "attractive"? It's a very subjective concept. Do you have any data about which chapter users like the most? Otherwise what kind of predictor would you use? $\endgroup$ – Erwan Apr 29 at 11:44
  • $\begingroup$ @Erwan Unfortunately not . We don't have chapter rating data , how about use average word reading time of each chapter ? $\endgroup$ – Mithril Apr 30 at 3:24

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