Design And Implement Search Engine Optimization Prediction System Using Machine Learning
JUI YOGESH MORE
, VAISHNAVI SHIVAJIRAO GAIKWAD , JYOTI SANTOSH LAHANGE , SAYLI SANJAY SHINDE
Search engine optimization, machine learning, NLP, SVM, MATPLOT.
Search engine optimization (SEO) refers to optimizing individual websites and web pages to achieve higher page ranks in search results. Websites are usually optimized for backlinks, but individual web pages are optimized for specific keywords. This paper proposes a framework based on a set of guidelines for keyword analysis and backlink generation. The proposed framework suggests that web page content should be keyword-based and site traffic should be monitored by referrals. Achieve better search results if your website content and title contain important and relevant keywords and have the right amount of backlinks to help monitor your website traffic You can rank your website to for The framework also emphasizes hat developers and designers should consider proper keyword selection and link building when working on software development projects.
"Design And Implement Search Engine Optimization Prediction System Using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.806 - 809, November-2022, Available :https://ijsdr.org/papers/IJSDR2211112.pdf
Volume 7
Issue 11,
November-2022
Pages : 806 - 809
Paper Reg. ID: IJSDR_202715
Published Paper Id: IJSDR2211112
Downloads: 000347241
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
