Build Hybrid Tutor Recommendation System with Embeddings, XGBoost
1 month ago

Job summary
I want to build a hybrid recommendation system that automates the selection and ranking of the best tutors for new student cases,Responsibilities
- Clean and merge 3 datasets: Case Data, Tutor Data, Result Labels into a single training table of case–tutor pairs with labels.
- Implement robust preprocessing: handle missing values,duplicates,inconsistent formats (e.g.locations ,subject names).
- Engineer meaningful features (no naive point systems),including:
Job description
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