[Paper][Code] Efficient K-NN for Playlist Continuation (RecSys'18 Challenge)
[Paper][Code] Effective Nearest-Neighbor Music Recommendations (RecSys'18 Challenge)
[Paper][Code] Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative ReweightingReranking (RecSys'18 Challenge)
[Paper][Code] Efficient Similarity Based Methods For The Playlist Continuation Task (RecSys'18 Challenge)
2) Different approaches:
[Paper][Code] Automatic Playlist Continuation using Subprofile-Aware Diversification (RecSys'18 Challenge)
[Paper][Code] Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations (RecSys'18 Challenge)
[Paper][Code] Automatic playlist continuation using a hybrid recommender system combining features from text and audio (RecSys'18 Challenge)
[Paper][Code] A Line in the Sand: Recommendation or Ad-hoc Retrieval? (RecSys'18 Challenge)
3) Neural network approaches:
[Paper][Code] An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion (RecSys'18 Challenge)
[Paper][Code] Towards Seed-Free Music Playlist Generation Enhancing Collaborative Filtering with Playlist Title Information (RecSys'18 Challenge)
[Paper][Code] TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation (RecSys'18 Challenge)
[Paper][Code] Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation (RecSys'18 Challenge)
4) Top-performing approaches:
[Paper][Code] A hybrid two-stage recommender system for automatic playlist continuation (RecSys'18 Challenge)
[Paper][Code] Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario (RecSys'18 Challenge)
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent