Abstract
In search engine optimization individual website pages are optimized through precise keywords, while the websites are optimized using a backlink watch. The existing literature has no proper guidelines for keywords selection and backlink generation. In this research, we proposed a model for making backlink watch generation and the selection of keywords through precise research analysis. The information on webpages consists of specific keywords while the website traffic is monitored through referrals. we concluded that during the development of Page Content, and architecture if selected keywords are used in Title, Headings, and Meta Tag then the page result is higher in search results. Moreover, the back-link generation uses a shorter volume of URL that monitors the complete traffic of a site that can be placed on a trusted location which increases the ranks of a site. The proposed model has been validated by comparing quantitative data of website rank taken before and after the implementation of the framework. Results revealed that the overall increase gained in site rank by applying the proposed model was 40%.
Keywords:
On-site optimization, Off-site Optimization, Site Traffic, Link Generation, Keywords Competitor Analysis, Website Crawling, URL Analysis, SEO
INTRODUCTION
In this modern Information Technology era internet is the biggest place which provides all types of information all around the globe. Internet is a large society containing Trillions of consumers that use this communication tool. Now a day the technology has made the internet a significant business network to perform a huge amount of trade and business all around the world. The electronic crowed which is known as digital users uses the Internet for business and marketing purposes. The website rank is very important to provide quick and better information to the user against the search queries. To attain higher page ranks of individual websites and web pages through search results is known as search engine optimization. Search engine optimization techniques play a key rule to increase the ranks of sites. (J. Lemos et al 2017) explain the use of basic SEO principles through different methods. The Internet has changed the working method and also enabled companies for internet-based marketing. There are millions of web pages on the Internet, but to reach the exact website or to find the pertinent information, we need to use search engines. The activity of getting higher page rank through search results is known as search engine optimization. Japan, UK, and China are the Largest internet users according to Comscore. 80 percent of business and marketing activities now a day are done by using the internet as per the research study, and china is the bigger one. To search the wanted data on websites, the use of search engine optimization is needed. To get relevant information from websites and web pages is a challenging task for search engines. Query-based web crawler approach reduces the volume of URL which can help to search engines to find the topic-related information for users. (M. kumar et. al 2018) proposed query-based k level max ancestor method to find relent information from webpages.
CONCLUSION & FUTURE WORK
In this research work, we explain the search engine optimization techniques, process, and our proposed SEO module and compare the results with older methodologies. Now a day more than 80 percent of people do their business through websites. To get more visitors for their sites you must need a higher rank in search results and popularity over the internet. SEO help to get higher page rank as well as higher website rank in search results. We also discuss the current challenges of SEO and suggest some guidelines to overcome these challenges. To increase the business and popularity of their website companies need SEO. Our new techniques help to increase the rank of sites and pages with specific keywords selection and backlink generation. As a future research direction, there is a great need to develop a specific tool that provides the best keywords selection and shows its competitor keywords. There is also a need to develop a tool to reduce the size of the backlink for creating a URL of the website. This use of specific tools can help to reduce the overall time for SEO.
About KSRA
The Kavian Scientific Research Association (KSRA) is a non-profit research organization to provide research / educational services in December 2013. The members of the community had formed a virtual group on the Viber social network. The core of the Kavian Scientific Association was formed with these members as founders. These individuals, led by Professor Siavosh Kaviani, decided to launch a scientific / research association with an emphasis on education.
KSRA research association, as a non-profit research firm, is committed to providing research services in the field of knowledge. The main beneficiaries of this association are public or private knowledge-based companies, students, researchers, researchers, professors, universities, and industrial and semi-industrial centers around the world.
Our main services Based on Education for all Spectrum people in the world. We want to make an integration between researches and educations. We believe education is the main right of Human beings. So our services should be concentrated on inclusive education.
The KSRA team partners with local under-served communities around the world to improve the access to and quality of knowledge based on education, amplify and augment learning programs where they exist, and create new opportunities for e-learning where traditional education systems are lacking or non-existent.
FULL Paper PDF file:
SEO: A unique approach to enhance the site rank by implementing Efficient Keywords SchemeBibliography
author
Year
2019
Title
SEO: A unique approach to enhance the site rank by implementing Efficient Keywords Scheme
Publish in
PeerJ Preprints, rec: 22 Mar 2019, publ: 22 Mar 2019
Doi
10.1109/ICAEE48663.2019.8975666
PDF reference and original file: Click here
Nasim Gazerani was born in 1983 in Arak. She holds a Master's degree in Software Engineering from UM University of Malaysia.
Professor Siavosh Kaviani was born in 1961 in Tehran. He had a professorship. He holds a Ph.D. in Software Engineering from the QL University of Software Development Methodology and an honorary Ph.D. from the University of Chelsea.
