| Recommender systems based on user reviews: the state of the art L Chen, G Chen, F Wang User Modeling and User-Adapted Interaction 25, 99-154, 2015 | 480 | 2015 |
| Comparison of feature-level learning methods for mining online consumer reviews L Chen, L Qi, F Wang Expert Systems with Applications 39 (10), 9588-9601, 2012 | 135 | 2012 |
| Preference-based clustering reviews for augmenting e-commerce recommendation L Chen, F Wang Knowledge-Based Systems 50, 44-59, 2013 | 100 | 2013 |
| Explaining recommendations based on feature sentiments in product reviews L Chen, F Wang Proceedings of the 22nd international conference on intelligent user …, 2017 | 90 | 2017 |
| A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses. F Wang, L Chen International Educational Data Mining Society, 2016 | 46 | 2016 |
| User evaluations on sentiment-based recommendation explanations L Chen, D Yan, F Wang ACM Transactions on Interactive Intelligent Systems (TiiS) 9 (4), 1-38, 2019 | 42 | 2019 |
| Where to place your next restaurant? Optimal restaurant placement via leveraging user-generated reviews F Wang, L Chen, W Pan Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 38 | 2016 |
| User perception of sentiment-integrated critiquing in recommender systems L Chen, D Yan, F Wang International Journal of Human-Computer Studies 121, 4-20, 2019 | 27 | 2019 |
| Experiment on sentiment embedded comparison interface L Chen, F Wang, L Qi, F Liang Knowledge-Based Systems 64, 44-58, 2014 | 26 | 2014 |
| Recommendation for new users with partial preferences by integrating product reviews with static specifications F Wang, W Pan, L Chen User Modeling, Adaptation, and Personalization: 21th International …, 2013 | 25 | 2013 |
| Sentiment-enhanced explanation of product recommendations L Chen, F Wang Proceedings of the 23rd international conference on World Wide Web, 239-240, 2014 | 23 | 2014 |
| Collaborative compound critiquing H Xie, L Chen, F Wang User Modeling, Adaptation, and Personalization: 22nd International …, 2014 | 19 | 2014 |
| Recommendation based on mining product reviewers preference similarity network F Wang, L Chen Proceedings of 6th SNAKDD Workshop, 166, 2012 | 18 | 2012 |
| jina-embeddings-v3: Multilingual embeddings with task lora S Sturua, I Mohr, MK Akram, M Günther, B Wang, M Krimmel, F Wang, ... arXiv preprint arXiv:2409.10173, 2024 | 16 | 2024 |
| Multi-task contrastive learning for 8192-token bilingual text embeddings I Mohr, M Krimmel, S Sturua, MK Akram, A Koukounas, M Günther, ... arXiv preprint arXiv:2402.17016, 2024 | 15 | 2024 |
| Dual ask-answer network for machine reading comprehension H Xiao, F Wang, J Yan, J Zheng arXiv preprint arXiv:1809.01997, 2018 | 13 | 2018 |
| An eye-tracking study: Implication to implicit critiquing feedback elicitation in recommender systems L Chen, F Wang Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016 | 12 | 2016 |
| Review mining for estimating users’ ratings and weights for product aspects F Wang, L Chen Web Intelligence 13 (3), 137-152, 2015 | 10 | 2015 |
| Recommending inexperienced products via learning from consumer reviews F Wang, L Chen 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2012 | 10 | 2012 |
| Inferring users’ critiquing feedback on recommendations from eye movements L Chen, F Wang, W Wu Case-Based Reasoning Research and Development: 24th International Conference …, 2016 | 7 | 2016 |
Li ChenProfessor, Hong Kong Baptist UniversityVerified email at comp.hkbu.edu.hk