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Video recommendation method and device, model training method and device, electronic equipment and medium

A technology for video recommendation and model training, which is applied in the field of data processing, can solve problems such as the decline of user interest in use, the inability to accurately detect the noise behavior of video applications, etc., and achieve the effect of increasing the duration of use and improving adaptability

Pending Publication Date: 2022-03-25
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The present disclosure provides a video recommendation method, model training method, device, electronic equipment, and media to at least solve the problem of inability to accurately detect the noise behavior of video applications in related technologies, recommend content that users dislike, and cause users to decline in interest in using it. question

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  • Video recommendation method and device, model training method and device, electronic equipment and medium
  • Video recommendation method and device, model training method and device, electronic equipment and medium
  • Video recommendation method and device, model training method and device, electronic equipment and medium

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Embodiment Construction

[0045] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0046] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to a video recommendation method and device, a model training method and device, electronic equipment and a medium, and the video recommendation method comprises the steps: obtaining historical behavior sequence data of a target account for a target video application; inputting the historical behavior sequence data into a pre-trained recommendation model, and determining noise sequence data in the historical behavior sequence data; based on the noise sequence data, abnormal videos in the to-be-recommended video set are eliminated, and a target recommended video is obtained; and pushing the target recommended video to the target account. According to the video recommendation method and device, the video pushed to the account better conforms to the use habit of the user account, and the interest of the user in using the video recommendation application is improved.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular to a video recommendation method, a model training method, a device, an electronic device, and a medium. Background technique [0002] At present, in order to achieve low-cost new promotion, various applications often adopt methods based on fission activities, by rewarding users for recommending new users to register and use, and by completing tasks set by the system (such as watching a sufficient number of videos, Pay attention to specific users, like a sufficient number of videos) to obtain corresponding system benefits. Driven by this kind of activity, users will generate a large number of behaviors that do not necessarily represent their real interests, which brings noise to the recommendation system / recommended application of the application. At this time, different noise detection methods need to be used to detect whether the user is Noise user to remove ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/258H04N21/25H04N21/466G06N3/08
CPCH04N21/25891H04N21/251H04N21/4668H04N21/4667H04N21/4666G06N3/08
Inventor 廖一桥骆明楠
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD