AI·Intermediate

Movie Recommendation System

Collaborative-filtering and content-based recommenders with an evaluation harness.

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About this module

A recommender-systems project comparing several approaches on a public ratings dataset: popularity baseline, item-item collaborative filtering, matrix factorisation and a content-based model.

Each model is evaluated with precision@k, recall@k and NDCG, and the results are discussed. A small API serves recommendations for a given user, and a notebook reproduces every figure.

The documentation frames the cold-start problem and how each model handles it.

What’s included

  • Full source code (Git repository)
  • Setup & configuration guide
  • Technical documentation (PDF)
  • Presentation slides (PPTX)
  • Demo walkthrough video
  • 2 weeks email support

Tech stack

Python pandas scikit-learn Surprise FastAPI
EGP 3,200
In stock
Delivered in 5 days after your deposit clears.
  • Instant access after final payment
  • Full source code + documentation
  • One-time purchase, yours to keep

Course fit

  • 24BUSI05I · Business Analytics BAEPS · Year 3 · Fall
  • 24CSCI08I · Machine Learning ICS · Year 3 · Spring

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