Method and device for recommending items to user and storage medium
A project and user technology, applied in the field of recommending projects to users, can solve problems such as increased data volume, false positive samples, slow recommendation model training speed, etc., to achieve the effect of enhancing user experience and ensuring timeliness
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[0030] The item recommendation advertisement is based on the neural network algorithm, which inputs user characteristics and item characteristics into the neural network, and outputs a value between 0 and 1 to indicate the probability of the item being clicked. In this paper, a method for recommending items to users is proposed, which is based on the user-item dual-tower structure, because the user-item dual-tower structure can meet the timeliness requirements of online real-time recommendation, that is, from millions to tens of millions The top 100 related projects are recommended in the project library. Whether the evaluation is relevant is measured by the user's click rate on the item. The higher the click rate, the better the effect of the recommended item, and vice versa, the worse the effect of the recommended item.
[0031] The following description provides specific details for a thorough understanding and practice of various embodiments of the present disclosure. It ...
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