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Insights From Wattpad's Userdata

Created by Hayden Liu and Curtis Chong at HackOn(Data) 2016

image of our demo app

Project Scope:

We made this repo to help:

  1. Authors expand their readership through the userbase of other authors

  2. Readers search for new authors

  3. Advertisers locate the most influential Toronto-based authors

All of our data was taken from TranQuant's Wattpad Userbase.

Usage

Spark

Have you ever tried running a pySpark file without Jupyter? Same here. Lets do a quick google search.

The following features were used to predict author recommendations for new readers:

  • age
  • language
  • gender
  • platform

Maps

If you want to view a visualization of our hack, pull the repo for the demo site

Our recommendation algorithm will return a list of three author ids. If you want to know where those authors are, simply paste that author id into the search box (from the demo) and the author (along with their followers) will popup on the map!

About

Using Apache Spark to provide reading suggestions

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