khuangaf / tibame_recommender_system

TibaMe 「打造智能推薦系統：用AI搞懂客戶精準行銷」 實作課程程式碼

TibaMe 打造智能推薦系統：用AI搞懂客戶精準行銷

簡介 Intro

這個GitHub Repo為 TibaMe線上課程 打造智能推薦系統：用AI搞懂客戶精準行銷 之實作程式碼，這門課你將會學到不同推薦系統的演算法，包括協同過濾、矩陣分解、深度學習的推薦系統模型等等。

This repository contains the source code for a recommender system course on Tibame, a Taiwan-based online education platform. You'll learn a variety of recommender system algorithms, from conventional collaborative filtering to more advanced Deep Learning techniques.

說明 Setup

請先至Kaggle下載電影資料集以及電商資料集，請參考以下架構如何放置資料集，此Repo中每一個Jupyter Notebook都能直接運行。

Please download the movie dataset and the e-commerce dataset from Kaggle following the project structure illustrated below. Every Jupyter Notebook file in this repo is 100% runnable.

架構 Structure

├── ecommerce-dataset
├── the-movie-dataset
├ Collaborative Filtering.ipynb
├ Content-Based Recommendation.ipynb
├ ...