Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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An online-updating algorithm on probabilistic matrix factorization with active learning for task recommendation in crowdsourcing systems
MC Yuen, I King, K Leung. Cited by 14
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A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks
C Chen, H Yang, I King, MRT Lyu. Cited by 58
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A Survey of Point-of-interest Recommendation in Location-based Social Networks
S Zhao, I King, MRT Lyu. Cited by 79
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GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation
S Zhao, TK Zhao, I King, MRT Lyu. Cited by 19
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STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation
S Zhao, TK Zhao, H Yang, MRT Lyu, I King. Cited by 244
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An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems
MC Yuen, I King, K Leung. Cited by 3
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Locality-Sensitive Linear Bandit Model for Online Social Recommendation
TK Zhao, I King. Cited by 4
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Towards a Model for Likelihood to Recommend (L2R) based on Accumulated Experience with an Online Service
L Zucherman, M Chignell, J Jiang. Cited by 1
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Extracting translations from comparable corpora for Cross-Language Information Retrieval using the language modeling framework
R Rahimi, A Shakery, I King. Cited by 23
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Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks
TK Zhao, H Zhao, I King. Cited by 10
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Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation
TK Zhao, J McAuley, I King. Cited by 71
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Multilingual information retrieval in the language modeling framework
R Rahimi, A Shakery, I King. Cited by 19