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GENERATING HOMOGENOUS USER EMBEDDING REPRESENTATIONS FROM HETEROGENEOUS USER INTERACTION DATA USING A NEURAL NETWORK
GENERATING HOMOGENOUS USER EMBEDDING REPRESENTATIONS FROM HETEROGENEOUS USER INTERACTION DATA USING A NEURAL NETWORK
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机译:使用神经网络从异构用户交互数据生成均匀用户嵌入表示
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摘要
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating user embeddings utilizing an interaction-to-vector neural network. For example, a user embeddings system transforms unorganized data of user interactions with content items into structured user interaction data. Further, the user embeddings system can utilize the structured user interaction data to train a neural network in a semi-supervised manner and generate uniform vectorized user embeddings for each of the users.
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