Build Hybrid Tutor Recommendation System with Embeddings, XGBoost

Only for registered members Canada

1 month ago

Default job background
$1,500 - $0 (USD) budget

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:

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