recsys32

recsys 2018 论文列表

Proceedings of the ACM Recommender Systems Challenge, RecSys Challenge 2018, Vancouver, BC, Canada, October 2, 2018.

A hybrid two-stage recommender system for automatic playlist continuation.
Efficient Similarity Based Methods For The Playlist Continuation Task.
Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information.
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion.
Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations.
MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation.
Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking.
Two-stage Model for Automatic Playlist Continuation at Scale.
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.
A Line in the Sand: Recommendation or Ad-hoc Retrieval? Overview of RecSys Challenge 2018 Submission by Team BachPropagate.
Efficient K-NN for Playlist Continuation.
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation.
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario.
Effective Nearest-Neighbor Music Recommendations.
Automatic playlist continuation using a hybrid recommender system combining features from text and audio.
Automatic Playlist Continuation using Subprofile-Aware Diversification.