Video recommendation method and device, electronic equipment and storage medium

The embodiment of the invention provides a video recommendation method and device, electronic equipment and a storage medium, and relates to the technical field of network data processing, and the method comprises the steps: obtaining an attribute feature, a positive behavior feature and a negative...

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Main Authors ZHU XIANWU, JIANG SANFENG
Format Patent
LanguageChinese
English
Published 03.02.2023
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Abstract The embodiment of the invention provides a video recommendation method and device, electronic equipment and a storage medium, and relates to the technical field of network data processing, and the method comprises the steps: obtaining an attribute feature, a positive behavior feature and a negative behavior feature of a target user; inputting the attribute features, the positive behavior features and the negative behavior features of the target user into a main network in a pre-trained recall model; inputting the negative behavior characteristics of the target user into a bias network in a pre-trained recall model; fusing the obtained output vector corresponding to the main network and the obtained offset vector corresponding to the offset network to obtain an interest representation vector of the target user; the similarity between the interest representation vector and the representation vectors of the videos to be recommended is calculated, and N videos with the highest similarity are selected to be recomm
AbstractList The embodiment of the invention provides a video recommendation method and device, electronic equipment and a storage medium, and relates to the technical field of network data processing, and the method comprises the steps: obtaining an attribute feature, a positive behavior feature and a negative behavior feature of a target user; inputting the attribute features, the positive behavior features and the negative behavior features of the target user into a main network in a pre-trained recall model; inputting the negative behavior characteristics of the target user into a bias network in a pre-trained recall model; fusing the obtained output vector corresponding to the main network and the obtained offset vector corresponding to the offset network to obtain an interest representation vector of the target user; the similarity between the interest representation vector and the representation vectors of the videos to be recommended is calculated, and N videos with the highest similarity are selected to be recomm
Author JIANG SANFENG
ZHU XIANWU
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Snippet The embodiment of the invention provides a video recommendation method and device, electronic equipment and a storage medium, and relates to the technical...
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COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Title Video recommendation method and device, electronic equipment and storage medium
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