Big data analysis method and platform based on network data
The invention provides a big data analysis method and platform based on network data, and relates to the technical field of big data processing. The method comprises the following steps: searching network user behavior record information of a target network user; key data extraction is carried out o...
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creator | LIU YUANXIANG SHANG YANCHAO |
description | The invention provides a big data analysis method and platform based on network data, and relates to the technical field of big data processing. The method comprises the following steps: searching network user behavior record information of a target network user; key data extraction is carried out on the network user behavior record information, and candidate network behavior feature representations corresponding to the network user behavior record information are extracted; on the basis of each saliency feature analysis network in the multiple saliency feature analysis networks, performing difference filtering operation and saliency feature analysis processing on the first network behavior feature representation of the saliency feature analysis network to form a corresponding target network behavior feature representation; and predicting predicted network user intention information corresponding to the network user behavior record information based on the target network behavior feature representation. Based |
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The method comprises the following steps: searching network user behavior record information of a target network user; key data extraction is carried out on the network user behavior record information, and candidate network behavior feature representations corresponding to the network user behavior record information are extracted; on the basis of each saliency feature analysis network in the multiple saliency feature analysis networks, performing difference filtering operation and saliency feature analysis processing on the first network behavior feature representation of the saliency feature analysis network to form a corresponding target network behavior feature representation; and predicting predicted network user intention information corresponding to the network user behavior record information based on the target network behavior feature representation. 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The method comprises the following steps: searching network user behavior record information of a target network user; key data extraction is carried out on the network user behavior record information, and candidate network behavior feature representations corresponding to the network user behavior record information are extracted; on the basis of each saliency feature analysis network in the multiple saliency feature analysis networks, performing difference filtering operation and saliency feature analysis processing on the first network behavior feature representation of the saliency feature analysis network to form a corresponding target network behavior feature representation; and predicting predicted network user intention information corresponding to the network user behavior record information based on the target network behavior feature representation. Based</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Big data analysis method and platform based on network data |
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