Method and device for displaying target object sequence to target user

Abstract

The embodiment of the invention provides a method and device for displaying a target object sequence to a target user, and the method comprises the steps: determining the initial sorting of all targetobjects in a to-be-displayed target object sequence, and carrying out the sorting of the initial sorting from high to low according to the relevancy between all target objects and the target user; obtaining object features corresponding to the target objects respectively; inputting the object features corresponding to the target objects into a pre-trained reordering model according to an initialorder, wherein the reordering model comprises an encoder and a decoder, the encoder encodes each object feature to obtain a context representation vector corresponding to the target object sequence, and the decoder outputs reordering of each target object in the target object sequence according to the context representation vector; and displaying the target object sequence to the target user according to the reordered positions of the target objects. Through reasonable sorting of the target objects, when the target object sequence is displayed to the target user based on the sorting, maximization of user feedback is achieved.

Description

technical field [0001] One or more embodiments of this specification relate to the computer field, and in particular to a method and device for presenting target object sequences to target users. Background technique [0002] At present, the target object sequence is often displayed to the target user to recommend multiple target objects in the target object sequence to the target user. In order to achieve a specific business goal, it is necessary to filter out a large number of target objects that the user may be interested in Multiple target objects, forming a target object sequence by these multiple target objects, and determining the position of each target object when displaying the target object sequence are all performed based on the sorting of the target objects. [0003] In the prior art, when sorting the target objects, it is usually sorted according to the correlation between each target object and the target user from high to low. The above correlation reflects t...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, when sorting the target objects, it is usually sorted according to the correlation between each target object and the target user from high to low. The above correlation reflects the target user's preference for the target object. When displaying target object sequences, it is often impossible to maximize user feedback, for example, to maximize the target user's click rate for each target object, or to maximize the conversion rate, etc.

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