Skip to content

Datacamp projet of M2 Data Science Ecole Polytechnique

Notifications You must be signed in to change notification settings

ShangyuanZ/social-ads-challenge

 
 

Repository files navigation

Social Ads

Authors: Bolong ZHANG, Shangyuan ZHANG, Wang SUN, Wenzhuo LIU

Social relationship-based advertising (i.e., social advertising) has become one of the fastest growing categories of advertising in the Internet advertising industry.

Tencent Social Ads is the advertising arm of Chinese internet giant Tencent. Through the platform, it’s possible for clients to target users on Wechat (also known as Weixin), QQ and QZone, and other Tencent platforms. Advertisers claim to reach around 900 million users through Tencent in 2017.

This challenge comes from a real advertising product in Tencent's social advertising business - Lookalike. The purpose of this product is to identify other users who are similar to the target users from a large number of people based on the target data provided by the advertiser. In the actual case, Lookalike can help advertisers find potential consumers similar to existing consumers based on the existing data of advertisers, which finally helps to explore new customers and expand their business.

Set up

Open a terminal and

  1. install the ramp-workflow library (if not already done)
$ pip install git+https://github.com/paris-saclay-cds/ramp-workflow.git
  1. Follow the ramp-kits instructions from the wiki

Local notebook

Get started on this RAMP with the dedicated notebook.

To test the starting-kit, run

ramp_test_submission --submission=starting_kit

Help

Go to the ramp-workflow wiki for more help on the RAMP ecosystem.

About

Datacamp projet of M2 Data Science Ecole Polytechnique

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • Jupyter Notebook 98.2%
  • Python 1.8%