Recomendation System

Index

1. Intro & Recommendation System Workflow

2. Measure Similarity & Content-based Recommendation System

3. Evaluation of Recommendation System

4. Collaborative Filtering

5. Matrix Factorization : SVD & Funk SVD

6. Collaborative Filtering with Context & Factorization Machine

7. Recommendation System for Implicit Data & Logistic Matrix Factorization

8. Learning to Rank & Bayesian Personalized Ranking

Project Tree

recommendation_system
├─ .gitignore
├─ README.md
├─ data
│  ├─ artist_name.csv
│  ├─ movies.csv
│  ├─ ratings.csv
│  ├─ sample_movie_rating.csv
│  ├─ sample_user_artist.csv
│  ├─ sampled_tracks.csv
│  ├─ tripadvisor_travel.csv
│  └─ user_artist_play.csv
├─ notebooks
│  ├─ 1.intro_workflow.ipynb
│  ├─ 2.measureSimilarity_contentBasedRecommendationSystem.ipynb
│  ├─ 3.recsysEvaluation.ipynb
│  ├─ 4.collaborativeFiltering.ipynb
│  ├─ 5.collaborativeFiltering_funkSvd.ipynb
│  ├─ 6.contextAware_factorizationMachine.ipynb
│  ├─ 7.implicitData_logisticMatrixFactorization.ipynb
│  └─ 8.learningToRank_bayesianPersonalizedRanking.ipynb
└─ requirements.txt