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Titlebook: Web and Big Data. APWeb-WAIM 2020 International Workshops; KGMA 2020, SemiBDMA Qun Chen,Jianxin Li Conference proceedings 2021 Springer Na

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A Learning Interests Oriented Model for Cold Start Recommendation recommendation model for interests, which can enhance the usability of user-related data. The model first uses the Pearson coefficient to calculate the learning interest perception relationship between users with temporal context. Second, based on this model, we use neural network to analyze the se
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Curriculum-Oriented Multi-goal Agent for Adaptive Learningto enable the agent to learn from past failed experiences to alleviate the problem of sparse rewards. Besides, our method is applicable to the case of multi-goal learning, and the agent learns specific strategy for each goal. Additionally, according to different learning stages of the agent, we set
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Deep Semantic Hashing for Large-Scale Image Retrievalg the last layer of the pre-trained CNN model directly, we can provide a guidance on how to select semantic features in the task of image retrieval, by observing some changes between mean average precision and semantic features extracted from the pre-trained CNN model. Experimental results demonstra
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