Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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The Privacy Attitudes Questionnaire (PAQ) Turned 20: What’s Next for a Generalized Measure of Privacy Attitudes?
WCW Giang, A Iglar, M Chignell, R Samavi, K Nathan. Cited by 1
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Unfolded self-reconstruction LSH: Towards machine unlearning in approximate nearest neighbour search
KY Tan, Y Lyu, YS Ong, IW Tsang. Cited by 2
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RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
J Choi, H Wi, C Lee, SB Cho, D Lee, N Park. Cited by 2
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Automated Extraction and Visualization of Metabolic Networks from Biomedical Literature Using a Large Language Model
T Phongwattana, JH Chan. Cited by 3
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Personality perceptions of conversational agents: A task-based analysis using thai as the conversational language
N Soonpipatskul, D Pal, B Watanapa, N Charoenkitkarn. Cited by 10
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Neural influence estimator: Towards real-time solutions to influence blocking maximization
W Chen, S Liu, YS Ong, K Tang. Cited by 6
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Towards building voice-based conversational recommender systems: Datasets, potential solutions and prospects
X Qu, H Liu, Z Sun, X Yin, YS Ong, L Lu, Z Ma. Cited by 9
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Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions
X Hu, Z Hong, C Zhang, A Liu, S Meng, L Wen, I King, PS Yu. Cited by 10
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Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities
J Wang, L Zhang, Z Sun, YS Ong. Cited by 10
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Practical and efficient model extraction of sentiment analysis APIs
W Wu, J Zhang, VJ Wei, X Chen, Z Zheng, I King, MR Lyu. Cited by 14
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A multi-channel next POI recommendation framework with multi-granularity check-in signals
Z Sun, Y Lei, L Zhang, C Li, YS Ong, J Zhang. Cited by 16
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Understanding diversity in session-based recommendation
Q Yin, H Fang, Z Sun, YS Ong. Cited by 22