Amazon recommendation system - Report As a Data Scientist

Overview

This was my final project for STA 521 (Predictive Inference), focusing on how to improve the effectiveness of recommendations using personal information on Amazon. It is a project designed to demonstrate my ability to report as a data scientist, rather than involving actual computation or specific datasets.

A glance of my report:

-My report proposes two possible improvements based on one of the pre-trained recommender systems.
-It provides a detailed process for handling personalized clustering.
-It critically considers various real-world and higher-level issues from a balanced perspective.

Report

My original report for the project can be viewed directly below, which has a limitation of 5 pages:

Alternatively, you can download the write-up as a PDF here.