将人工智能与搜索引擎优化技术相结合

Gustavo Camossi, Lucas Pinto Franzo, Cecílio Merlotti Rodas
{"title":"将人工智能与搜索引擎优化技术相结合","authors":"Gustavo Camossi, Lucas Pinto Franzo, Cecílio Merlotti Rodas","doi":"10.21728/p2p.2024v11n1e-6937","DOIUrl":null,"url":null,"abstract":"The internet has become an indispensable resource for accessing information. In this digital ecosystem, search engines play a crucial role in helping users find the most relevant content for their queries. This study aims to investigate how the application of Artificial Intelligence in content optimization can improve the relevance and accuracy of search results in Search Engine Optimization. Using an exploratory and descriptive methodology, the research explores the intersection between On-page and Off-page Search Engine Optimization techniques and AI, highlighting the application of Artificial Intelligence technologies such as natural language processing and machine learning. The results show that Artificial Intelligence has a significant impact on On-page Search Engine Optimization techniques, both in terms of the accuracy and relevance of search results. The research reveals that Artificial Intelligence can improve On-page Search Engine Optimization techniques, such as the optimization of Meta Tags and Title Tags, and On-page and Off-page Search Engine Optimization strategies. It is concluded that the integration of Artificial Intelligence into Search Engine Optimization strategies represents a significant evolution in digital marketing, offering more sophisticated and efficient methods for search engine optimization.","PeriodicalId":403558,"journal":{"name":"P2P E INOVAÇÃO","volume":"11 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"INTEGRAÇÃO DA INTELIGÊNCIA ARTIFICIAL COM AS TÉCNICAS DE SEARCH ENGINE OPTIMIZATION\",\"authors\":\"Gustavo Camossi, Lucas Pinto Franzo, Cecílio Merlotti Rodas\",\"doi\":\"10.21728/p2p.2024v11n1e-6937\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The internet has become an indispensable resource for accessing information. In this digital ecosystem, search engines play a crucial role in helping users find the most relevant content for their queries. This study aims to investigate how the application of Artificial Intelligence in content optimization can improve the relevance and accuracy of search results in Search Engine Optimization. Using an exploratory and descriptive methodology, the research explores the intersection between On-page and Off-page Search Engine Optimization techniques and AI, highlighting the application of Artificial Intelligence technologies such as natural language processing and machine learning. The results show that Artificial Intelligence has a significant impact on On-page Search Engine Optimization techniques, both in terms of the accuracy and relevance of search results. The research reveals that Artificial Intelligence can improve On-page Search Engine Optimization techniques, such as the optimization of Meta Tags and Title Tags, and On-page and Off-page Search Engine Optimization strategies. It is concluded that the integration of Artificial Intelligence into Search Engine Optimization strategies represents a significant evolution in digital marketing, offering more sophisticated and efficient methods for search engine optimization.\",\"PeriodicalId\":403558,\"journal\":{\"name\":\"P2P E INOVAÇÃO\",\"volume\":\"11 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"P2P E INOVAÇÃO\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21728/p2p.2024v11n1e-6937\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"P2P E INOVAÇÃO","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21728/p2p.2024v11n1e-6937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

互联网已成为获取信息不可或缺的资源。在这个数字生态系统中,搜索引擎在帮助用户找到最相关的查询内容方面发挥着至关重要的作用。本研究旨在探讨人工智能在内容优化中的应用如何提高搜索引擎优化中搜索结果的相关性和准确性。研究采用探索性和描述性方法,探讨了网页和非网页搜索引擎优化技术与人工智能之间的交叉点,突出了自然语言处理和机器学习等人工智能技术的应用。研究结果表明,人工智能对页面搜索引擎优化技术有重大影响,无论是在搜索结果的准确性还是相关性方面。研究表明,人工智能可以改进页面搜索引擎优化技术,如元标签和标题标签的优化,以及页面和非页面搜索引擎优化策略。研究结论是,将人工智能融入搜索引擎优化战略代表了数字营销的重大发展,为搜索引擎优化提供了更先进、更高效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
INTEGRAÇÃO DA INTELIGÊNCIA ARTIFICIAL COM AS TÉCNICAS DE SEARCH ENGINE OPTIMIZATION
The internet has become an indispensable resource for accessing information. In this digital ecosystem, search engines play a crucial role in helping users find the most relevant content for their queries. This study aims to investigate how the application of Artificial Intelligence in content optimization can improve the relevance and accuracy of search results in Search Engine Optimization. Using an exploratory and descriptive methodology, the research explores the intersection between On-page and Off-page Search Engine Optimization techniques and AI, highlighting the application of Artificial Intelligence technologies such as natural language processing and machine learning. The results show that Artificial Intelligence has a significant impact on On-page Search Engine Optimization techniques, both in terms of the accuracy and relevance of search results. The research reveals that Artificial Intelligence can improve On-page Search Engine Optimization techniques, such as the optimization of Meta Tags and Title Tags, and On-page and Off-page Search Engine Optimization strategies. It is concluded that the integration of Artificial Intelligence into Search Engine Optimization strategies represents a significant evolution in digital marketing, offering more sophisticated and efficient methods for search engine optimization.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
PROFISSÕES E ORGANIZAÇÕES CONECTADAS E PROFISSIONAIS DESCONECTADOS: QUATRO NOVAS COMPETÊNCIAS NECESSÁRIAS FERNANDO PRESTES MOTTA INSIGHTS DE UM ESTUDO DE MAPEAMENTO SISTEMÁTICO DA TECNOLOGIA 5G NO CONTEXTO DA AGRICULTURA SUSTENTÁVEL INTEGRAÇÃO DA INTELIGÊNCIA ARTIFICIAL COM AS TÉCNICAS DE SEARCH ENGINE OPTIMIZATION A RELAÇÃO UNIVERSIDADE-EMPRESA-GOVERNO EM PARQUES TECNOLÓGICOS BRASILEIROS EM DESENVOLVIMENTO
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1