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Video recall method and device and electronic equipment

A video and factor decomposition technology, applied in the computer field, can solve the problem of poor recall effect of recall model, and achieve the effect of improving recall effect.

Pending Publication Date: 2021-06-11
GUANGZHOU BAIGUOYUAN INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a video recall method, device and electronic equipment, so as to solve the problem of poor recall effect of existing recall models on new users to a certain extent

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  • Video recall method and device and electronic equipment
  • Video recall method and device and electronic equipment
  • Video recall method and device and electronic equipment

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Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0027] The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It should be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application can be practiced in sequences other than those illustrated or described herein, and that references to "first," "second," et...

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Abstract

The embodiment of the invention provides a video recall method and device and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: acquiring a multi-user ID feature and a multi-user statistical feature about a target user in a sample, and a video ID feature and a video statistical feature, wherein the multi-user ID class features are ID class features that a plurality of users share the same ID, and the multi-user statistical features are obtained through statistics according to the occurrence frequency of the multi-user ID class features in a sample; inputting the multi-user ID features, the multi-user statistical features, the video ID features and the video statistical features into a first factorization machine FM model for training to obtain a trained second FM model; and determining a recalled video of the target user from the video database through the second FM model. According to the scheme, invalid features such as single-user ID features and single-user behavior statistical features in the sample are removed, and the recall effect of the recall model on new users is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a video recall method, device and electronic equipment. Background technique [0002] The personalized recall model in the current product recommendation system usually adopts the two-tower deep neural network (DeepNeural Networks, DNN) recall or the factorization machine algorithm (Factorization Machines, FM) recall model, the above-mentioned personalized recall model is generally used in all users Built on the training data set, the user identity certification (User Identification, UID) type embedding (a way to convert discrete variables into continuous vector representation) features and statistical behavior features are dominant in the trained model Yes, but when such a model faces a new user sample, due to the lack of effective UID and the scarcity of behavioral features of new users, these dominant features will fail or cause large deviations, such as: predicting the rece...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06N20/00H04N21/45H04N21/466
CPCG06N3/04G06N3/08G06N20/00H04N21/4532H04N21/4666H04N21/4668G06F18/22G06F18/2193G06F18/24147
Inventor 宋炜王森
Owner GUANGZHOU BAIGUOYUAN INFORMATION TECH CO LTD
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