Study

Basic Recommendation Models

  • CF(Collaborative Filtering) Model
  • MF(Matrix Factorization) Model
    • PMF(Probabilistic Matrix Factorization) Model
  • CB(Content-Based) Model

Music Recommendation System


Projects


Paper Reviews

Survey

Clickstream Data in E-commerce

  • Predicting Online Shopping Behavior from Clickstream Data Using Deep Learning(2020)
  • Real-time Prediction of Online Shoppers’ Purchase Intention Using MLP and LSTM RNN(2019)

Wide & Deep Model

Embedding based

Deep Learning Based

Automatic Music Continuation(Music Recommendation)

  • MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation
  • Two-stage Model for Automatic Playlist Continuation at Scale
  • Artist-driven layering and user’s behaviour impact on recommendations in a playlist continuation scenario
  • Efficient Similarity Based Methods For The Playlist Continuation Task
  • Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation
  • A Hybrid Recommender System for Improving Automatic Playlist Continuation
  • Consistency-Aware Recommendation for User-Generated Item List Continuation

Archive

  1. Deep Learning Based Recommender System: A Survey and New Perspectives - 2019
    • literature review of the advances of deep learning-based recommender system.
  2. Wide & Deep Learning for Recommender Systems - 2016
    • App recommender system for Google Play with a wide and deep model
  3. Embedding-based news recommendation for millions of users - 2017
    • RNN-based news recommender system for Yahoo! News
  4. Deep Neural Networks for YouTube Recommendations - 2016
    • deep neural network-based recommendation algorithm for video recommendation on YouTube