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