Importance

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Abstract

The present disclosure relates to a recommendation model training method, an article recommendation method and system, and a related device. The recommendation model training method includes: processing data for training by using a recommendation model to obtain a category-independent representation and a category-dependent representation, wherein the data for training comprises a feature of a user and a feature of an article; processing the category-independent representation and the category-dependent representation respectively by using a discriminator to obtain discrimination results; determining a prediction result according to at least one of the category-independent representation or the category-dependent representation; and training the recommendation model and the discriminator according to training targets comprising the category-independent representation not corresponding to any one of the plurality of categories, the category-dependent representation corresponding to the pre-marked category, and the prediction result matching with the pre-marked recommendation information.

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First Claim