Trustsvd: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings G Guo, J Zhang, N Yorke-Smith Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 650 | 2015 |
A novel evidence-based Bayesian similarity measure for recommender systems G Guo, J Zhang, N Yorke-Smith ACM Transactions on the Web (TWEB) 10 (2), 1-30, 2016 | 395 | 2016 |
Merging trust in collaborative filtering to alleviate data sparsity and cold start G Guo, J Zhang, D Thalmann Knowledge-Based Systems 57, 57-68, 2014 | 343 | 2014 |
Librec: A java library for recommender systems G Guo, J Zhang, Z Sun, N Yorke-Smith CEUR Workshop Proceedings 1388, 2015 | 259 | 2015 |
A novel recommendation model regularized with user trust and item ratings G Guo, J Zhang, N Yorke-Smith ieee transactions on knowledge and data engineering 28 (7), 1607-1620, 2016 | 228 | 2016 |
Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations H Fang, D Zhang, Y Shu, G Guo ACM Transactions on Information Systems (TOIS) 39 (1), 1-42, 2020 | 224 | 2020 |
Research commentary on recommendations with side information: A survey and research directions Z Sun, Q Guo, J Yang, H Fang, G Guo, J Zhang, R Burke Electronic Commerce Research and Applications 37, 100879, 2019 | 197 | 2019 |
Etaf: An extended trust antecedents framework for trust prediction G Guo, J Zhang, D Thalmann, N Yorke-Smith 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 183 | 2014 |
Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems G Guo, J Zhang, N Yorke-Smith Knowledge-Based Systems 74, 14-27, 2015 | 179 | 2015 |
A Simple but Effective Method to Incorporate Trusted Neighbors in Recommender Systems G Guo, J Zhang, D Thalmann Proceedings of the 20th International Conference on User Modeling …, 2012 | 129 | 2012 |
LambdaFM: Learning optimal ranking with factorization machines using lambda surrogates F Yuan, G Guo, JM Jose, L Chen, H Yu, W Zhang Proceedings of the 25th ACM international on conference on information and …, 2016 | 115 | 2016 |
From ratings to trust: an empirical study of implicit trust in recommender systems G Guo, J Zhang, D Thalmann, A Basu, N Yorke-Smith Proceedings of the 29th annual acm symposium on applied computing, 248-253, 2014 | 106 | 2014 |
Future data helps training: Modeling future contexts for session-based recommendation F Yuan, X He, H Jiang, G Guo, J Xiong, Z Xu, Y Xiong Proceedings of The Web Conference 2020, 303-313, 2020 | 102 | 2020 |
Multi-faceted trust and distrust prediction for recommender systems H Fang, G Guo, J Zhang Decision Support Systems 71, 37-47, 2015 | 95 | 2015 |
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback H Qiu, Y Liu, G Guo, Z Sun, J Zhang, HT Nguyen Information Sciences 453, 80-98, 2018 | 90 | 2018 |
Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems G Guo, H Qiu, Z Tan, Y Liu, J Ma, X Wang Knowledge-Based Systems 138, 202-207, 2017 | 85 | 2017 |
Factored similarity models with social trust for top-N item recommendation G Guo, J Zhang, F Zhu, X Wang Knowledge-Based Systems 122, 17-25, 2017 | 85 | 2017 |
Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems G Guo Proceedings of the 7th ACM conference on Recommender systems, 451-454, 2013 | 73 | 2013 |
An identity management system based on blockchain Y Liu, Z Zhao, G Guo, X Wang, Z Tan, S Wang 2017 15th Annual Conference on Privacy, Security and Trust (PST), 44-4409, 2017 | 63 | 2017 |
Joint geo-spatial preference and pairwise ranking for point-of-interest recommendation F Yuan, JM Jose, G Guo, L Chen, H Yu, RS Alkhawaldeh 2016 IEEE 28Th international conference on tools with artificial …, 2016 | 63 | 2016 |