Recommended object determination method and device, electronic equipment and storage medium

Abstract

The invention relates to a recommended object determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining attribute information, current scene information and a historical interaction information sequence of a target user account in response to an object recommendation request of the target user account; fusing current scene information with attribute information and the historical interaction information sequence to obtain a first fusion feature and a second fusion feature; determining a similarity degree corresponding to each candidate recommendation object according to the first fusion feature and the second fusion feature; and determining a target candidate recommendation object according to the similarity degree corresponding to each candidate recommendation object. According to the method, accurate recall can be realized without a recall model independently trained based on the current scene, so that the recall model corresponding to each scene does not need to be independently trained for different scenes, the recall efficiency is improved, and the determination efficiency of the recommended object is improved.

Description

technical field [0001] The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, an electronic device, and a storage medium for determining a recommended object. Background technique [0002] The recommendation process of a recommender system generally includes three stages: recall, coarse sorting and fine sorting. Recall, as the first stage of the whole system, mainly learns the feature representation of user accounts and candidate recommendation objects. The candidate recommendation objects that may be of interest to the user account are quickly located and recalled, and these candidate recommendation objects that may be of interest will be further subjected to rough sorting and fine sorting to determine the candidate recommendation objects that are finally recommended to the user account. [0003] In practical applications, the data of the user account may involve multiple scenarios (for example, the main version a...

AI Technical Summary

Problems solved by technology

[0004] The present disclosure provides a method, device, electronic device, and storage medium for determining recommended objects, so as to at least solve the problems in related technologies that cannot quickly capture user preferences in different scenarios, and reduce recall efficiency and recommendation efficiency.

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