- Description: Build Recommendation System based on 3 methods: Content-based Filtering, Collaborative Filtering, and Hybrid. For each question of a student, the system will recommend the relevant questions or professionals who can answer them. Or for each professional, the system will recommend a list of the questions which can be answered.
- Data: https://www.kaggle.com/c/data-science-for-good-careervillage/overview
- Techstack: PySpark
-
Notifications
You must be signed in to change notification settings - Fork 0
mlinhh/Recommendation-System-for-Q-A-Forum-using-PySpark
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published