We enhanced the leading European online learning platform with deep learning solution to ensure flawless customer experience. Majority of content watched online comes from recommendations: 80% on Netflix, and 60% on YouTube, as per the research (link to external resource). So one of the popular massive European online learning aggregating platforms opted for a robust recommendation and classification system. Read on to find out how we beat such challenges.
Our client aimed to increase engagement metrics and user’s lifetime value for their platform. We took on the challenge to improve the client's customer experience. Also, new functionality should automatically classify any new online course added, tailored to any user preferences. See what’s under the hood of solutions like this one.
We improved customer experience by increasing engagement metrics by 18% and user's LTV by 13%, which has a significant impact on income equivalent for our client. Moreover, as the platform operates as an aggregator, all the content from any new component added could be geared to the user's personal preferences.
Python
REST
Ubuntu
Docker
SQL Server
Frameworks and Libraries
numpy
pandas
matplotlib
seaborn
scikit-learn
scipy
implicit
cornac
recommenders
Flask
gunicorn
AI Development Stack
Data exploration
Data cleansing
Modeling
Deployment (on-premise server)
So this is how the combination of NLP and classification modeling contributed to our client's flawless learning experience and higher income.