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ORCIDRecSys 2018: Vancouver, BC, Canada - Challenge
- Proceedings of the ACM Recommender Systems Challenge, RecSys Challenge 2018, Vancouver, BC, Canada, October 2, 2018. ACM 2018
- Mesut Kaya
, Derek G. Bridge:
Automatic Playlist Continuation using Subprofile-Aware Diversification. 1:1-1:6 - Andres Ferraro, Dmitry Bogdanov, Jisang Yoon, KwangSeob Kim, Xavier Serra:
Automatic playlist continuation using a hybrid recommender system combining features from text and audio. 2:1-2:5 - Malte Ludewig, Iman Kamehkhosh, Nick Landia, Dietmar Jannach:
Effective Nearest-Neighbor Music Recommendations. 3:1-3:6 - Sebastiano Antenucci, Simone Boglio, Emanuele Chioso, Ervin Dervishaj, Shuwen Kang, Tommaso Scarlatti, Maurizio Ferrari Dacrema:
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario. 4:1-4:6 - Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp:
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. 5:1-5:6 - Domokos M. Kelen, Dániel Berecz, Ferenc Béres, András A. Benczúr:
Efficient K-NN for Playlist Continuation. 6:1-6:4 - Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu:
A Line in the Sand: Recommendation or Ad-hoc Retrieval? Overview of RecSys Challenge 2018 Submission by Team BachPropagate. 7:1-7:6 - Xing Zhao, Qingquan Song, James Caverlee, Xia Hu:
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. 8:1-8:6 - Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner:
Two-stage Model for Automatic Playlist Continuation at Scale. 9:1-9:6 - Lin Zhu, Bowen He, Mengxin Ji, Cheng Ju, Yihong Chen:
Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking. 10:1-10:6 - Hojin Yang, Yoonki Jeong, Minjin Choi, Jongwuk Lee:
MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation. 11:1-11:6 - Timo van Niedek, Arjen P. de Vries:
Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations. 12:1-12:6 - Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Pasquale Lisena, Raphaël Troncy, Michael Fell, Elena Cabrio, Maurizio Morisio:
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion. 13:1-13:6 - Jaehun Kim, Minz Won, Cynthia C. S. Liem, Alan Hanjalic:
Towards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information. 14:1-14:6 - Guglielmo Faggioli, Mirko Polato, Fabio Aiolli:
Efficient Similarity Based Methods For The Playlist Continuation Task. 15:1-15:6 - Vasiliy Rubtsov, Mikhail Kamenshchikov, Ilya Valyaev, Vasiliy Leksin, Dmitry I. Ignatov:
A hybrid two-stage recommender system for automatic playlist continuation. 16:1-16:4
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