Version 4 (modified by psantos, 2 years ago) (diff) |
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Classification of users for ads
Project Details
The proposed system can be a general user classification mechanism that would allow us to scale app sponsorship for groups of users with similar interests. This system could be applied to the organic recommendations by the Editorial and Community teams, too. The system is partially automated, since it allows us to understand each user group qualitatively and manually manage the list of apps for each group over time. Part of these recommendations can be automated based on simple rules such as app categories, trending apps within each group and most downloaded but not yet installed apps per group. It is considered that this combined marketing research/data science approach is the best solution to implement a recommendation system in a very short term. The solution is also scalable and can be tweaked and improved over time. The proposed system can be constructed based on a simple three stage data mining process.
Purpose of this project
Create a general user classification mechanism that would allow us to scale app recommendations for groups of users with similar interests. This system could be applied to the organic recommendations by the Editorial and Community teams, but also to the Advertising/Monetisation? processes.
Project Description
Project Source Code
Road-map
July 21st - Multidimensional Scaling done
July 28th - Hierarchichal Clustering done
Weekly Reports
Please check the Attachments section.
Trainee details
Trainee Name
Pedro Miguel Matias Santos
Past Experience
Academic only
Current Situation
Summer Intern
Motivation for the Project
I am very motivated because I'm planning to take a master in Intelligent Systems and Bid Data.
Mentor
Luis Pinto Pedro Santos
Attachments (9)
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Projetc_code.html
(274.7 KB) -
added by psantos 2 years ago.
Project Code (21/07/2016)
- Project_Presentation.pdf (2.7 MB) - added by psantos 2 years ago.
- Report Week 1.pdf (1.3 MB) - added by psantos 2 years ago.
- Report Week 2.pdf (1.3 MB) - added by psantos 2 years ago.
- Project Code.html (321.3 KB) - added by psantos 2 years ago.
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Project Code.2.html
(321.3 KB) -
added by psantos 2 years ago.
Codigo do projecto (01/08/2016)
- Report week 4.pdf (1.3 MB) - added by psantos 2 years ago.
- Report week 5.pdf (1.3 MB) - added by psantos 2 years ago.
- Report week 3.pdf (973.7 KB) - added by psantos 2 years ago.