Website category identification method and device, equipment and storage medium
The invention provides a website category identification method and device, equipment and a storage medium, and the method comprises the steps: inputting the first webpage information of a to-be-identified first website into a trained first network model; wherein the model parameters of the trained...
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creator | YU LE QIAN HUHAI LU YINBING FENG YANGLU ZHANG FENG MA YUSHENG |
description | The invention provides a website category identification method and device, equipment and a storage medium, and the method comprises the steps: inputting the first webpage information of a to-be-identified first website into a trained first network model; wherein the model parameters of the trained first network model are obtained by training based on a first training sample set, and the first training sample set comprises second webpage information of a plurality of sample websites; the second webpage information comprises at least two of the following information of at least one webpage of the sample website: content information, semantics of the content information and attributes of the at least one webpage; and outputting the website category of the first website based on the trained first network model.
本申请提供了一种网站类别的识别方法及装置、设备、存储介质,其中,所述方法包括:将待识别的第一网站的第一网页信息输入至训练好的第一网络模型;其中,所述训练好的第一网络模型的模型参数是基于第一训练样本集训练得到的,所述第一训练样本集包括多个样本网站的第二网页信息,所述第二网页信息包括所述样本网站的至少一个网页的以下信息中的至少两种:内容信息、所述内容信息的语义、所述至少一个网页的属性;基于所述训练好的第一网络 |
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本申请提供了一种网站类别的识别方法及装置、设备、存储介质,其中,所述方法包括:将待识别的第一网站的第一网页信息输入至训练好的第一网络模型;其中,所述训练好的第一网络模型的模型参数是基于第一训练样本集训练得到的,所述第一训练样本集包括多个样本网站的第二网页信息,所述第二网页信息包括所述样本网站的至少一个网页的以下信息中的至少两种:内容信息、所述内容信息的语义、所述至少一个网页的属性;基于所述训练好的第一网络</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240510&DB=EPODOC&CC=CN&NR=118013518A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240510&DB=EPODOC&CC=CN&NR=118013518A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YU LE</creatorcontrib><creatorcontrib>QIAN HUHAI</creatorcontrib><creatorcontrib>LU YINBING</creatorcontrib><creatorcontrib>FENG YANGLU</creatorcontrib><creatorcontrib>ZHANG FENG</creatorcontrib><creatorcontrib>MA YUSHENG</creatorcontrib><title>Website category identification method and device, equipment and storage medium</title><description>The invention provides a website category identification method and device, equipment and a storage medium, and the method comprises the steps: inputting the first webpage information of a to-be-identified first website into a trained first network model; wherein the model parameters of the trained first network model are obtained by training based on a first training sample set, and the first training sample set comprises second webpage information of a plurality of sample websites; the second webpage information comprises at least two of the following information of at least one webpage of the sample website: content information, semantics of the content information and attributes of the at least one webpage; and outputting the website category of the first website based on the trained first network model.
本申请提供了一种网站类别的识别方法及装置、设备、存储介质,其中,所述方法包括:将待识别的第一网站的第一网页信息输入至训练好的第一网络模型;其中,所述训练好的第一网络模型的模型参数是基于第一训练样本集训练得到的,所述第一训练样本集包括多个样本网站的第二网页信息,所述第二网页信息包括所述样本网站的至少一个网页的以下信息中的至少两种:内容信息、所述内容信息的语义、所述至少一个网页的属性;基于所述训练好的第一网络</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAPT00qzixJVUhOLElNzy-qVMhMSc0ryUzLBApk5ucp5KaWZOSnKCTmpSikpJZlJqfqKKQWlmYW5AJVgUWLS_KLEtNTgQpTMktzeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaGFgaGxqaGFozExagB5Xjca</recordid><startdate>20240510</startdate><enddate>20240510</enddate><creator>YU LE</creator><creator>QIAN HUHAI</creator><creator>LU YINBING</creator><creator>FENG YANGLU</creator><creator>ZHANG FENG</creator><creator>MA YUSHENG</creator><scope>EVB</scope></search><sort><creationdate>20240510</creationdate><title>Website category identification method and device, equipment and storage medium</title><author>YU LE ; QIAN HUHAI ; LU YINBING ; FENG YANGLU ; ZHANG FENG ; MA YUSHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118013518A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>YU LE</creatorcontrib><creatorcontrib>QIAN HUHAI</creatorcontrib><creatorcontrib>LU YINBING</creatorcontrib><creatorcontrib>FENG YANGLU</creatorcontrib><creatorcontrib>ZHANG FENG</creatorcontrib><creatorcontrib>MA YUSHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YU LE</au><au>QIAN HUHAI</au><au>LU YINBING</au><au>FENG YANGLU</au><au>ZHANG FENG</au><au>MA YUSHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Website category identification method and device, equipment and storage medium</title><date>2024-05-10</date><risdate>2024</risdate><abstract>The invention provides a website category identification method and device, equipment and a storage medium, and the method comprises the steps: inputting the first webpage information of a to-be-identified first website into a trained first network model; wherein the model parameters of the trained first network model are obtained by training based on a first training sample set, and the first training sample set comprises second webpage information of a plurality of sample websites; the second webpage information comprises at least two of the following information of at least one webpage of the sample website: content information, semantics of the content information and attributes of the at least one webpage; and outputting the website category of the first website based on the trained first network model.
本申请提供了一种网站类别的识别方法及装置、设备、存储介质,其中,所述方法包括:将待识别的第一网站的第一网页信息输入至训练好的第一网络模型;其中,所述训练好的第一网络模型的模型参数是基于第一训练样本集训练得到的,所述第一训练样本集包括多个样本网站的第二网页信息,所述第二网页信息包括所述样本网站的至少一个网页的以下信息中的至少两种:内容信息、所述内容信息的语义、所述至少一个网页的属性;基于所述训练好的第一网络</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Website category identification method and device, equipment and storage medium |
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