Следене
Guibing Guo
Guibing Guo
Professor, Software College, Northeastern University, China
Потвърден имейл адрес: swc.neu.edu.cn - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
5052015
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
2852014
A novel Bayesian similarity measure for recommender systems.
G Guo, J Zhang, N Yorke-Smith
IJCAI 13, 2619-2625, 2013
2792013
LibRec: A Java Library for Recommender Systems.
G Guo, J Zhang, Z Sun, N Yorke-Smith
Umap Workshops 4, 2015
2302015
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
1882016
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
1572015
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
1302014
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
1212012
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
932016
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
912019
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
912014
Multi-faceted trust and distrust prediction for recommender systems
H Fang, G Guo, J Zhang
Decision Support Systems 71, 37-47, 2015
852015
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
812020
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
672017
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
632013
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
582017
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
522018
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
512016
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
482020
Leveraging prior ratings for recommender systems in e-commerce
G Guo, J Zhang, D Thalmann, N Yorke-Smith
Electronic Commerce Research and Applications 13 (6), 440-455, 2014
442014
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