Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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An unforgeable publicly verifiable watermark for large language models
A Liu, L Pan, X Hu, S Li, L Wen, I King, PS Yu. Cited by 95
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Weakness exploitation: Predicting socially communicative devices as a successor to internet-based graphical user interfaces
JJ Li, M Chignell. Cited by 1
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Hybrid Autoencoder-Multi-Task Lstm Model for Indian Stock Market Ohlc Prediction and Profitable Recommendations
D Chakraborty, S Ghosh, AK Ghosh
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Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues
H Wang, M Hu, Y Deng, R Wang, F Mi, W Wang, Y Wang, WC Kwan, I King, K Wong. Cited by 12
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kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning
M Yang, M Zhou, L Pan, I King
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Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots?
NZ Qu, K Henderson, JJ Li, M Chignell. Cited by 2
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Revisiting Bundle Recommendation
Z Sun, JC Yang, K Feng, H Fang, X Qu, YS Ong. Cited by 39
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Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification
A Dey, D Goswami, R Roy, S Ghosh, YS Zhang, JH Chan
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Mutual Information Assisted Ensemble Recommender System for Identifying Critical Risk Factors in Healthcare Prognosis
A Dey, D Goswami, R Roy, S Ghosh, YS Zhang, JH Chan
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Krathu-500: Post-Comments Thai Corpus
P Taveekitworachai, JH Chan
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Perturbation-recovery method for recommendation
J Choi, S Hong, N Park, SB Cho. Cited by 1
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A neuro-symbolic AI system for visual question answering in pedestrian video sequences
J Park, SJ Bu, SB Cho. Cited by 3