| Recommender system application developments: a survey J Lu, D Wu, M Mao, W Wang, G Zhang Decision support systems 74, 12-32, 2015 | 1935 | 2015 |
| Multirelational Social Recommendations via Multigraph Ranking M Mao, J Lu, G Zhang, J Zhang IEEE Transactions on Cybernetics, 2016 | 124 | 2016 |
| Multiobjective e-commerce recommendations based on hypergraph ranking M Mao, J Lu, J Han, G Zhang Information Sciences 471, 269-287, 2019 | 78 | 2019 |
| Alleviating the data sparsity problem of recommender systems by clustering nodes in bipartite networks F Zhang, S Qi, Q Liu, M Mao, A Zeng Expert Systems with Applications 149, 113346, 2020 | 61 | 2020 |
| Integrated production planning and scheduling under uncertainty: A fuzzy bi-level decision-making approach J Han, Y Liu, L Luo, M Mao Knowledge-based systems 201, 106056, 2020 | 38 | 2020 |
| Optimizing dynamic facility location-allocation for agricultural machinery maintenance using Benders decomposition J Han, J Zhang, B Zeng, M Mao Omega 105, 102498, 2021 | 28 | 2021 |
| A multi-objective districting problem applied to agricultural machinery maintenance service network J Han, Y Hu, M Mao, S Wan European Journal of Operational Research 287 (3), 1120-1130, 2020 | 25 | 2020 |
| Impacts of platform design on consumer commitment and online review intention: does use context matter in dual-platform e-commerce? Q Xiao, M Siponen, X Zhang, F Lu, S Chen, M Mao Internet Research 32 (5), 1496-1531, 2022 | 24 | 2022 |
| An empirical study on factors affecting continuance intention of using Yu’e Bao Q Liu, F Zhang, M Mao, B Xue, Z Lin Tehnički vjesnik 25 (5), 1414-1420, 2018 | 23 | 2018 |
| Hybrid ecommerce recommendation model incorporating product taxonomy and folksonomy M Mao, S Chen, F Zhang, J Han, Q Xiao Knowledge-Based Systems 214, 106720, 2021 | 19 | 2021 |
| A fuzzy content matching-based e-commerce recommendation approach M Mao, J Lu, G Zhang, J Zhang 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015 | 16 | 2015 |
| Group event recommendation in event-based social networks considering unexperienced events G Liao, X Huang, M Mao, C Wan, X Liu, D Liu IEEE Access 7, 96650-96671, 2019 | 14 | 2019 |
| Softwarized attention-based context-aware group recommendation technology in event-based industrial cyber-physical systems G Liao, X Huang, N Xiong, C Wan, M Mao IEEE Transactions on Industrial Informatics 17 (10), 6894-6905, 2021 | 7 | 2021 |
| A signed trust-based recommender approach for personalized government-to-business e-services M Mao, G Zhang, J Lu, J Zhang Knowledge Engineering and Management: Proceedings of the Seventh …, 2014 | 7 | 2014 |
| Jam: Joint attention model for next event recommendation in event-based social networks G Liao, L Yang, M Mao, C Wan, D Liu, X Liu Knowledge-Based Systems 234, 107592, 2021 | 4 | 2021 |
| Hybridizing social filtering for recommender systems M Mao, J Lu, G Zhang, J Zhang Foundations of Intelligent Systems: Proceedings of the Eighth International …, 2014 | 3 | 2014 |
| Popperian Falsificationism in IS: Major Confusions and Harmful Influences M Mao, M Siponen, M Nathan Communications of the Association for Information Systems 53, 2023 | 1 | 2023 |
| What impacts the helpfulness of online multidimensional reviews? A perspective from cross-attribute rating and ranking Inconsistency M Mao, X Weili, Q Xiao, C Sihua | 1 | 2023 |
| Ranking on user–item heterogeneous graph for Ecommerce next basket recommendations H Mao, M Mao, F Mao Knowledge-Based Systems 296, 111863, 2024 | | 2024 |
| Can Telling a Story Work? Understanding Answer Adoption Behavior in Online Q&A Communities from a Heuristic-Systematic Perspective H Wu, M Mao, T Guo, C Cui, C Sihua | | 2024 |
Jie LU AO, FIEEE, FIFSA, FACS, Austr...Distinguished Professor, Director of Australian Artificial Intelligence Institute在 uts.edu.au 的电子邮件经过验证
