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Short video click rate prediction method based on multi-modal dynamic routing

A prediction method and short video technology, applied in the field of Internet services, can solve problems such as the inability to capture user interests in a fine-grained manner

Active Publication Date: 2021-01-22
CHINA JILIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Combining different modal information of short videos to represent short videos cannot capture users' interests in a fine-grained manner

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  • Short video click rate prediction method based on multi-modal dynamic routing
  • Short video click rate prediction method based on multi-modal dynamic routing
  • Short video click rate prediction method based on multi-modal dynamic routing

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Embodiment Construction

[0045] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0046] The short video click rate prediction task is to build a model to predict the probability of users clicking on short videos. The user history sequence is expressed as where x j Represents the jth short video, l is the length of the sequence. Therefore, the short video click rate prediction problem can be expressed as: input user click sequence and target short video x new , to predict the user’s response to the target short video x new click-through rate.

[0047] For this reason, the present invention proposes a method for predicting the click-through rate of short videos based on multimodal routing. It extracts the user's interest from different modal information of the short video, and then fuses the multiple interests extracted by the...

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Abstract

The invention discloses a short video click rate prediction method based on multi-modal dynamic routing. According to the method, interests of a user are extracted from different modal information ofa short video, then multiple interests extracted by the user in a multi-modal space are fused, and the click rate of the user on a target short video is predicted. The method is mainly composed of four parts: a first part, constructing a short video graph network, respectively inputting short video multi-modal features into the graph network, and updating short video multi-modal feature representation; in the second part, interest representation of the user in different modes is generated by adopting a capsule network according to the multi-mode characteristics of the short video; in the thirdpart, interest representations under different modes are fused to generate user interest representations; and in the fourth part, predicting the click rate of the user to the target short video according to the multi-interest vector representation of the user.

Description

technical field [0001] The invention belongs to the technical field of Internet services, and in particular relates to a method for predicting the click-through rate of short videos based on multimodal dynamic routing Background technique [0002] Short video is a new type of short video. The shooting of short videos does not require the use of professional equipment or professional skills. Users can easily shoot and upload to the short video platform directly through their mobile phones, so the number of short videos on the short video platform is growing very fast. This makes the demand for an effective short video recommendation system very urgent. An effective short video recommendation system can improve user experience and user stickiness, thereby bringing huge commercial value to the platform. [0003] In recent years, many researchers have proposed video-based personalized recommendation methods. These methods can be classified into three categories: collaborative...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/735G06F16/78G06N3/08
CPCG06N3/08G06F16/735G06F16/78
Inventor 顾盼
Owner CHINA JILIANG UNIV