Similar anchor classification model training method, anchor recommendation method and related devices

Abstract

The embodiment of the invention discloses a similar anchor classification model training method, an anchor recommendation method and related devices. The training method comprises the steps of obtaining historical behavior data of watching live broadcast by a user; determining a plurality of first candidate anchor pairs according to the historical behavior data, wherein each first candidate anchorpair comprises two anchors; obtaining anchor information of each anchor; for each first candidate anchor pair, anchor pair features of the first candidate anchor pair are extracted based on historical behavior data and anchor information; determining an anchor pair sample from the plurality of first candidate anchor pairs, wherein the anchor pair sample comprises an anchor pair feature and an anchor pair label; and obtaining a similar anchor classification model for outputting the anchor similarity by adopting the anchor pair features of the anchor pair samples and the anchor pair label training model. According to the embodiment of the invention, the similarity of the two anchors can be determined from multiple dimensions and the trained similar anchor classification model, the universality is good, and the similarity of the anchors is accurate, so that the anchor recommendation accuracy is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of recommendation, and in particular, relate to a similar anchor classification model training method, a similar anchor classification model training device, an anchor recommendation method, an anchor recommendation device, equipment, and a storage medium. Background technique [0002] Nowadays, more and more users use live broadcast applications to perform live video broadcasts or watch live video broadcasts, through which users can perform various network social activities. [0003] When a user uses a live broadcast application, it is often necessary to recommend to the user an anchor similar to an anchor that the user is interested in so as to improve user experience. In the existing scheme for determining similar anchors, first count the number of users who have watched the two anchors together, and the number of users who like the two anchors respectively, and then use the simi...

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a similar anchor classification model training method, a similar anchor classification model training device, an anchor recommendation method, an anchor recommendation device, equipment, and a storage medium, so as to solve the existing anchor similarity calculation method that has a single dimension of consideration and poor versatility , resulting in inaccurate anchor recommendations

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