Search Results - "Que, Maofei"

Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations by Li, Pan, Que, Maofei, Tuzhilin, Alexander

“…Static user and item features constitute important information to be taken into account in the recommendation process. However, as these features are usually…”
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PURS: Personalized Unexpected Recommender System for Improving User Satisfaction by Li, Pan, Que, Maofei, Jiang, Zhichao, Hu, Yao, Tuzhilin, Alexander

“…Classical recommender system methods typically face the filter bubble problem when users only receive recommendations of their familiar items, making them…”
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Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction by Li, Pan, Jiang, Zhichao, Que, Maofei, Hu, Yao, Tuzhilin, Alexander

“…Cross domain recommender system constitutes a powerful method to tackle the cold-start and sparsity problem by aggregating and transferring user preferences…”
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Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks by Xu, Haiyang, Ye, Qinghao, Wu, Xuan, Yan, Ming, Miao, Yuan, Ye, Jiabo, Xu, Guohai, Hu, Anwen, Shi, Yaya, Xu, Guangwei, Li, Chenliang, Qian, Qi, Que, Maofei, Zhang, Ji, Zeng, Xiao, Huang, Fei

“…To promote the development of Vision-Language Pre-training (VLP) and multimodal Large Language Model (LLM) in the Chinese community, we firstly release the…”
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