A collective variational autoencoder for top-n recommendation with side information Y Chen, M de Rijke Proceedings of the 3rd workshop on deep learning for recommender systems, 3-9, 2018 | 102 | 2018 |
Towards question-based recommender systems J Zou, Y Chen, E Kanoulas Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 94 | 2020 |
Personalised reranking of paper recommendations using paper content and user behavior X Li, Y Chen, B Pettit, MD Rijke ACM Transactions on Information Systems (TOIS) 37 (3), 1-23, 2019 | 47 | 2019 |
Efficient mining of frequent patterns on uncertain graphs Y Chen, X Zhao, X Lin, Y Wang, D Guo IEEE Transactions on Knowledge and Data Engineering 31 (2), 287-300, 2018 | 44 | 2018 |
Bayesian personalized feature interaction selection for factorization machines Y Chen, P Ren, Y Wang, M de Rijke Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 31 | 2019 |
Frequent subgraph mining based on Pregel X Zhao, Y Chen, C Xiao, Y Ishikawa, J Tang The Computer Journal 59 (8), 1113-1128, 2016 | 26 | 2016 |
Bayesian feature interaction selection for factorization machines Y Chen, Y Wang, P Ren, M Wang, M de Rijke Artificial Intelligence 302, 103589, 2022 | 22 | 2022 |
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items Y Chen, Y Wang, X Zhao, H Yin, I Markov, MD Rijke ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020 | 22 | 2020 |
Block-Aware Item Similarity Models for Top-N Recommendation Y Chen, Y Wang, X Zhao, J Zou, MD Rijke ACM Transactions on Information Systems (TOIS) 38 (4), 1-26, 2020 | 20 | 2020 |
Top-N recommendation with high-dimensional side information via locality preserving projection Y Chen, X Zhao, M de Rijke Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 19 | 2017 |
Towards frequent subgraph mining on single large uncertain graphs Y Chen, X Zhao, X Lin, Y Wang 2015 IEEE International Conference on Data Mining, 41-50, 2015 | 19 | 2015 |
Fast top-k similarity join for SimRank R Li, X Zhao, H Shang, Y Chen, W Xiao Information Sciences 381, 1-19, 2017 | 13 | 2017 |
Content-Based Top-N Recommendation Using Heterogeneous Relations Y Chen, X Zhao, J Gan, J Ren, Y Hu Databases Theory and Applications: 27th Australasian Database Conference …, 2016 | 10 | 2016 |
Efficient and scalable graph similarity joins in mapreduce Y Chen, X Zhao, C Xiao, W Zhang, J Tang The Scientific World Journal 2014, 2014 | 9 | 2014 |
Practising scalable graph similarity joins in mapReduce Y Chen, X Zhao, B Ge, C Xiao, CH Chi 2014 IEEE International Congress on Big Data, 112-119, 2014 | 5 | 2014 |
Item cold-start recommendation with personalized feature selection YF Chen, X Zhao, JY Liu, B Ge, WM Zhang Journal of Computer Science and Technology 35, 1217-1230, 2020 | 4 | 2020 |
Leveraging High-Dimensional Side Information for Top-N Recommendation Y Chen, X Zhao arXiv preprint arXiv:1702.01516, 2017 | 3 | 2017 |
Taxi-taking recommendation using real-time trajectories: an online query based approach. Y Chen, X Zhao, J Tang, W Zhang, H Shang Computer Systems Science & Engineering 31 (2), 2016 | 2 | 2016 |
Self-Attentive Subset Learning over a Set-Based Preference in Recommendation K Liu, Y Chen, J Tang, H Huang, L Liu Applied Sciences 13 (3), 1683, 2023 | 1 | 2023 |
Learning to select user-specific features for top-N recommendation of new items Y Chen, X Zhao, J Liu, B Ge, W Zhang 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW …, 2019 | 1 | 2019 |