| Hybrid quantum-classical convolutional neural networks J Liu, KH Lim, KL Wood, W Huang, C Guo, HL Huang Science China Physics, Mechanics & Astronomy 64 (9), 290311, 2021 | 233 | 2021 |
| Personalized Tour Recommendation based on User Interests and Points of Interest Visit Durations KH Lim, J Chan, C Leckie, S Karunasekera 24th International Joint Conference on Artificial Intelligence (IJCAI'15), 2015 | 226 | 2015 |
| Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency KH Lim, J Chan, C Leckie, S Karunasekera Knowledge and Information Systems 54, 375-406, 2018 | 220 | 2018 |
| An unsupervised sentence embedding method by mutual information maximization Y Zhang, R He, Z Liu, KH Lim, L Bing arXiv preprint arXiv:2009.12061, 2020 | 210 | 2020 |
| Tour recommendation and trip planning using location-based social media: A survey KH Lim, J Chan, S Karunasekera, C Leckie Knowledge and Information Systems 60, 1247-1275, 2019 | 159 | 2019 |
| Personalized itinerary recommendation with queuing time awareness KH Lim, J Chan, S Karunasekera, C Leckie Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 100 | 2017 |
| Recommending Tours and Places-of-Interest based on User Interests from Geo-tagged Photos KH Lim 2015 SIGMOD PhD Symposium (SIGMOD'15), 2015 | 88 | 2015 |
| Crisisbert: a robust transformer for crisis classification and contextual crisis embedding J Liu, T Singhal, LTM Blessing, KL Wood, KH Lim Proceedings of the 32nd ACM conference on hypertext and social media, 133-141, 2021 | 83 | 2021 |
| Travel itinerary recommendations with must-see points-of-interest K Taylor, KH Lim, J Chan Companion Proceedings of the The Web Conference 2018, 1198-1205, 2018 | 82 | 2018 |
| Improving personalized trip recommendation by avoiding crowds X Wang, C Leckie, J Chan, KH Lim, T Vaithianathan Proceedings of the 25th ACM international on conference on information and …, 2016 | 69 | 2016 |
| Finding twitter communities with common interests using following links of celebrities KH Lim, A Datta 3rd International Workshop on Modeling Social Media (MSM'12), 25-32, 2012 | 67 | 2012 |
| Towards Next Generation Touring: Personalized Group Tours KH Lim, J Chan, C Leckie, S Karunasekera 26th International Conference on Automated Planning and Scheduling (ICAPS’16), 2016 | 61 | 2016 |
| Following the follower: detecting communities with common interests on twitter KH Lim, A Datta 23rd ACM Conference on Hypertext and Social Media (HT'12), 317-318, 2012 | 61 | 2012 |
| Geolocation prediction in Twitter using location indicative words and textual features L Chi, KH Lim, N Alam, CJ Butler 2nd Workshop on Noisy User-generated Text (WNUT'16), 227, 2016 | 55 | 2016 |
| The grass is greener on the other side: Understanding the effects of green spaces on Twitter user sentiments KH Lim, KE Lee, D Kendal, L Rashidi, E Naghizade, S Winter, ... Companion Proceedings of the The Web Conference 2018, 275-282, 2018 | 50 | 2018 |
| Interest Classification of Twitter Users using Wikipedia KH Lim, A Datta 9th International Symposium on Wikis and Open Collaboration (WikiSym'13), 2013 | 43 | 2013 |
| Clustop: A clustering-based topic modelling algorithm for twitter using word networks KH Lim, S Karunasekera, A Harwood 2017 IEEE International Conference on Big Data (Big Data), 2009-2018, 2017 | 39 | 2017 |
| An interaction-based approach to detecting highly interactive twitter communities using tweeting links KH Lim, A Datta Web Intelligence 14 (1), 1-15, 2016 | 36 | 2016 |
| Transformer-based multi-task learning for queuing time aware next poi recommendation S Halder, KH Lim, J Chan, X Zhang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 510-523, 2021 | 35 | 2021 |
| A topological approach for detecting Twitter communities with common interests KH Lim, A Datta Ubiquitous Social Media Analysis, 23-43, 2013 | 35 | 2013 |
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