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PUSHING ITEMS TO USERS BASED ON A REINFORCEMENT LEARNING MODEL
PUSHING ITEMS TO USERS BASED ON A REINFORCEMENT LEARNING MODEL
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机译:基于强化学习模型的用户项目
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摘要
This disclosure is related to determining an item push list for a user based on a reinforcement learning model. In one aspect, a method includes obtaining M first item lists that have been predetermined for a first user. Each first item list includes i-1 items. For each first item list, an ith state feature vector is obtained. The ith state feature vector includes a static feature and a dynamic feature. The ith state feature vector is provided as input to the reinforcement machine learning model. The reinforcement model outputs a weight vector including weights of sorting features. A sorting feature vector of each item in a candidate item set corresponding to the first item list is obtained. The sorting feature vector includes feature values of sorting features. M updated item lists are determined for the first item lists based on a score for each item in M candidate item sets.
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