Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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A generic reinforced explainable framework with knowledge graph for session-based recommendation
H Wu, H Fang, Z Sun, C Geng, X Kong, YS Ong. Cited by 24
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WSFE: wasserstein sub-graph feature encoder for effective user segmentation in collaborative filtering
Y Chen, Y Zhang, M Yang, Z Song, C Ma, I King. Cited by 25
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Towards fair financial services for all: A temporal GNN approach for individual fairness on transaction networks
Z Song, Y Zhang, I King. Cited by 26
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κhgcn: Tree-likeness modeling via continuous and discrete curvature learning
M Yang, M Zhou, L Pan, I King. Cited by 29
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Proceedings of the 17th ACM Conference on Recommender Systems
J Zhang, L Chen, S Berkovsky, M Zhang, T Noia, J Basilico, L Pizzato, et al.. Cited by 31
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Multimodal relation extraction with cross-modal retrieval and synthesis
X Hu, Z Guo, Z Teng, I King, PS Yu. Cited by 31
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Bipartite graph convolutional hashing for effective and efficient top-n search in hamming space
Y Chen, Y Fang, Y Zhang, I King. Cited by 32
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What affects the usage of artificial conversational agents? An agent personality and love theory perspective
D Pal, V Vanijja, H Thapliyal, X Zhang. Cited by 51
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Rethinking Machine Ethics--Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?
J Zhou, M Hu, J Li, X Zhang, X Wu, I King, H Meng. Cited by 39
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Large language models as source planner for personalized knowledge-grounded dialogue
H Wang, M Hu, Y Deng, R Wang, F Mi, W Wang, Y Wang, WC Kwan, et al. Cited by 39
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Blurring-sharpening process models for collaborative filtering
J Choi, S Hong, N Park, SB Cho. Cited by 57
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Large language models can be guided to evade ai-generated text detection
N Lu, S Liu, R He, Q Wang, YS Ong, K Tang. Cited by 65