# Welcome

In this competition you'll notice there isn't a leaderboard, and you are not required to develop a predictive model. This isn't a traditional supervised Kaggle machine learning competition. 

CareerVillage.org is a nonprofit that crowdsources career advice for underserved youth. Founded in 2011 in four classrooms in New York City, the platform has now served career advice from 25,000 volunteer professionals to over 3.5M online learners. The platform uses a Q&A style similar to StackOverflow or Quora to provide students with answers to any question about any career. 

In this Data Science for Good challenge, CareerVillage.org, in partnership with Google.org, is inviting you to help recommend questions to appropriate volunteers. To support this challenge, CareerVillage.org has supplied five years of data. 

## Problem Statement
The U.S. has almost 500 students for every guidance counselor. Underserved youth lack the network to find their career role models, making CareerVillage.org the only option for millions of young people in America and around the globe with nowhere else to turn. 

To date, 25,000 volunteers have created profiles and opted in to receive emails when a career question is a good fit for them. This is where your skills come in. To help students get the advice they need, the team at CareerVillage.org needs to be able to send the right questions to the right volunteers. The notifications sent to volunteers seem to have the greatest impact on how many questions are answered.

**Your objective: develop a method to recommend relevant questions to the professionals who are most likely to answer them.** 


## Criteria for Measuring Solutions

**Performance**: How well does the solution match professionals to the questions they would be motivated to answer? CareerVillage.org will not be able to live-test every submission, so a strong entry will clearly articulate why it will be effective at motivating answers.


**Easy to implement**: The CareerVillage.org team wants to put the winning submissions to work, quickly.  A good entry will be well documented and easy to test in production.


**Extensibility**: In the future, CareerVillage.org aims to add more data features and to accommodate new objectives. Winning submissions should allow for this and other augmentations to be added in the future.