A Study on the Guidance of Charged Mobile Reading Platform Development
A case study on Jinjiang Literacy was taken to explore the factors influencing the subscription of an online literary work.
Data crawling
We used Python to crawl data from there.
- Work attributions
We crawled data of 6378 literary works.
- Chapter payment
We crawled nearly 900 thousand payment records.
- Comments
We crawled more than 1.2 million comments.
Regression analysis
First, second and third order regression was performed using the Ridge, Lasso, LinearRegression, ElasticNet algorithm in Python.
- Results
- The best regression coefficient of each factor
log 10
