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Kwan Hui Lim

Hybrid quantum-classical convolutional neural networks
2021 · Junhua Liu, Kwan Hui Lim, et al. · Science China Physics Mechanics and Astronomy · 297
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Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
2017 · Kwan Hui Lim, Jeffrey Chan, et al. · Knowledge and Information Systems · 189
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
2020 · Yan Zhang, Ruidan He, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 152
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Personalized tour recommendation based on user interests and points of interest visit durations
2015 · Lim, Kwan, Chan, Jeffrey, et al. · RMIT Research Repository (RMIT University Library) · 144
Tour recommendation and trip planning using location-based social media: a survey
2018 · Kwan Hui Lim, Jeffrey Chan, et al. · Knowledge and Information Systems · 137
Personalized Itinerary Recommendation with Queuing Time Awareness
2017 · Kwan Hui Lim, Jeffrey Chan, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 96
Travel Itinerary Recommendations with Must-see Points-of-Interest
2018 · Kendall Taylor, Kwan Hui Lim, et al. · International World Wide Web Conference (WWW) · 81
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Recommending Tours and Places-of-Interest based on User Interests from Geo-tagged Photos
2015 · Kwan Hui Lim · 73
CrisisBERT
2021 · Junhua Liu, Trisha Singhal, et al. · ACM Conference on Hypertext and Social Media (HT) · 53
Improving Personalized Trip Recommendation by Avoiding Crowds
2016 · Xiaoting Wang, Christopher Leckie, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 52
Towards Next Generation Touring: Personalized Group Tours
2016 · Kwan Hui Lim, Jeffrey Chan, et al. · Proceedings of the International Conference on Automated Planning and Scheduling · 48
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A survey on personalized itinerary recommendation: From optimisation to deep learning
2023 · Sajal Halder, Kwan Hui Lim, et al. · Applied Soft Computing · 45
Finding twitter communities with common interests using following links of celebrities
2012 · Kwan Hui Lim, Amitava Datta · International Workshop on Modeling Social Media (MSM) · 40
Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features
2016 · Lianhua Chi, Kwan Hui Lim, et al. · International Conference on Computational Linguistics · 35
Real-time spatio-temporal event detection on geotagged social media
2021 · Yasmeen George, Shanika Karunasekera, et al. · Journal Of Big Data · 33
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Efficient itinerary recommendation via personalized POI selection and pruning
2022 · Sajal Halder, Kwan Hui Lim, et al. · Knowledge and Information Systems · 32
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Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation
2021 · Sajal Halder, Kwan Hui Lim, et al. · Lecture notes in computer science · 32
The Grass is Greener on the Other Side
2018 · Kwan Hui Lim, Kate E. Lee, et al. · International World Wide Web Conference (WWW) · 32
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ScreenLife Capture: An open-source and user-friendly framework for collecting screenomes from Android smartphones
2022 · Andrew Zi Han Yee, Ryan Yu, et al. · Behavior Research Methods · 31
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Interest classification of Twitter users using Wikipedia
2013 · Kwan Hui Lim, Amitava Datta · International Symposium on Open Collaboration · 31
Following the follower
2012 · Kwan Hui Lim, Amitava Datta · ACM Conference on Hypertext and Social Media (HT) · 30
POI recommendation with queuing time and user interest awareness
2022 · Sajal Halder, Kwan Hui Lim, et al. · Data Mining and Knowledge Discovery · 28
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A clustering-based topic model using word networks and word embeddings
2022 · Wenchuan Mu, Kwan Hui Lim, et al. · Journal Of Big Data · 28
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ClusTop: A clustering-based topic modelling algorithm for twitter using word networks
2017 · Kwan Hui Lim, Shanika Karunasekera, et al. · IEEE International Conference on Big Data (BigData) · 27
POIBERT: A Transformer-based Model for the Tour Recommendation Problem
2022 · Ngai Lam Ho, Kwan Hui Lim · IEEE International Conference on Big Data (BigData) · 26
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Works count: 116
Citation count: 2,359
H-index: 25
I10-index: 51
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