LCS in context of ML- Martin Mihál
Contents
Goal of project
Goal of the project is show possibilities of LCS algorithm in non-robotic enviroment - in area of - we can say - "pure" machine learning. I'll use data of activity of user of given website(http://www.publico.es/) from Piano(http://piano.io/) system and the goal of whole process will be define set of rules which best define users which will come back to website - that means they are "loyal" in some way and we can try to target them with locking of some content and deliver them offer. On the other site, users which are not loyal yet(they won't probablycoma back) - we want to give them freedom in browsing of given website and and develop interest or "addiction" and give them offer later.
Overview
I'll use data of activity of user from period(in this experiment month) A and we want to predict if user will have any interaction in following period B. Between period A and B are some days because we want to track "long-term" loyality no "from-day-to-day" loyality.
Preparing of data
In the process of preparing data are important to take in consideration 2 factors: 1, data which we have 2, type of data which used algorithm need
- This is the second item.
- This is the third item.
Data selection
TODO
LCS algorithm
TODO
Results
TODO
