HGCF: Hyperbolic graph convolution networks for collaborative filtering J Sun, Z Cheng, S Zuberi, F Pérez, M Volkovs Proceedings of the Web Conference 2021, 593-601, 2021 | 104 | 2021 |
Two-stage model for automatic playlist continuation at scale M Volkovs, H Rai, Z Cheng, G Wu, Y Lu, S Sanner Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018 | 49 | 2018 |
TAFA: Two-headed attention fused autoencoder for context-aware recommendations JP Zhou, Z Cheng, F Pérez, M Volkovs Proceedings of the 14th ACM conference on recommender systems, 338-347, 2020 | 28 | 2020 |
Nonlinear models over normalized data Z Cheng, N Koudas 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1574-1577, 2019 | 12 | 2019 |
Session-based recommendation with transformers Y Lu, Z Gao, Z Cheng, J Sun, B Brown, G Yu, A Wong, F Pérez, M Volkovs Proceedings of the Recommender Systems Challenge 2022, 29-33, 2022 | 11 | 2022 |
Robust contextual models for in-session personalization M Volkovs, A Wong, Z Cheng, F Pérez, I Stanevich, Y Lu Proceedings of the Workshop on ACM Recommender Systems Challenge, 1-5, 2019 | 10 | 2019 |
MCL: Mixed-centric loss for collaborative filtering Z Gao, Z Cheng, F Pérez, J Sun, M Volkovs Proceedings of the ACM Web Conference 2022, 2339-2347, 2022 | 7 | 2022 |
Predicting twitter engagement with deep language models M Volkovs, Z Cheng, M Ravaut, H Yang, K Shen, JP Zhou, A Wong, ... Proceedings of the Recommender Systems Challenge 2020, 38-43, 2020 | 7 | 2020 |
Two-headed attention fused autoencoder for context-aware recommendation M Volkovs, JF Vallejo, JP Zhou, Z Cheng US Patent App. 17/405,939, 2022 | 5 | 2022 |
User engagement modeling with deep learning and language models M Volkovs, F Perez, Z Cheng, J Sun, S Norouzi, A Wong, P Jankiewicz, ... Proceedings of the Recommender Systems Challenge 2021, 22-27, 2021 | 4 | 2021 |
Efficient construction of nonlinear models over normalized data Z Cheng, N Koudas, Z Zhang, X Yu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1140-1151, 2021 | 3 | 2021 |
Recommendation with neighbor-aware hyperbolic embedding M Volkovs, Z Cheng, JFP Vallejo, J Sun, S Zuberi US Patent App. 17/674,229, 2022 | 1 | 2022 |
Distance-based pair loss for collaborative filtering M Volkovs, Z Cheng, JFP Vallejo, J Sun, Z Gao US Patent App. 17/969,238, 2023 | | 2023 |