Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches

Problem statement: To increase traffic on websites, Search Engine Optimization (SEO) has provided many costly and time-consuming options. One problem is the inadequate distribution of keywords especially those keywords that users use the title tag and Meta tags. Approach: This study described work o...

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Main Authors: Farahmand, Mohammad, Md Sultan, Abu Bakar, Azmi Murad, Masrah Azrifah, Sidi, Fatimah
Format: Article
Language:English
Published: Science Publications 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22505/
http://psasir.upm.edu.my/id/eprint/22505/1/22505.pdf
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author Farahmand, Mohammad
Md Sultan, Abu Bakar
Azmi Murad, Masrah Azrifah
Sidi, Fatimah
author_facet Farahmand, Mohammad
Md Sultan, Abu Bakar
Azmi Murad, Masrah Azrifah
Sidi, Fatimah
author_sort Farahmand, Mohammad
building UPM Institutional Repository
collection Online Access
description Problem statement: To increase traffic on websites, Search Engine Optimization (SEO) has provided many costly and time-consuming options. One problem is the inadequate distribution of keywords especially those keywords that users use the title tag and Meta tags. Approach: This study described work on an initial model for handling some of the SEO factors to increase the distribution of keywords. Our purposed model provide users with the words and their values based on the key weights with initiated formula to provide a new title, keywords, or description in order to increase the relativity between content and HTML Meta tags and title tag. Results: The proposed model had been showed evidence of gaining the greater utilization of the distribution of keywords and prevents recognition of search engine spam. Conclusion: The result shows the significant enhancement of the proposed model on Title Weight by 51.69% of original Title Weight defined by user.
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institution Universiti Putra Malaysia
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language English
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publishDate 2011
publisher Science Publications
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spelling upm-225052015-10-09T08:10:40Z http://psasir.upm.edu.my/id/eprint/22505/ Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches Farahmand, Mohammad Md Sultan, Abu Bakar Azmi Murad, Masrah Azrifah Sidi, Fatimah Problem statement: To increase traffic on websites, Search Engine Optimization (SEO) has provided many costly and time-consuming options. One problem is the inadequate distribution of keywords especially those keywords that users use the title tag and Meta tags. Approach: This study described work on an initial model for handling some of the SEO factors to increase the distribution of keywords. Our purposed model provide users with the words and their values based on the key weights with initiated formula to provide a new title, keywords, or description in order to increase the relativity between content and HTML Meta tags and title tag. Results: The proposed model had been showed evidence of gaining the greater utilization of the distribution of keywords and prevents recognition of search engine spam. Conclusion: The result shows the significant enhancement of the proposed model on Title Weight by 51.69% of original Title Weight defined by user. Science Publications 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22505/1/22505.pdf Farahmand, Mohammad and Md Sultan, Abu Bakar and Azmi Murad, Masrah Azrifah and Sidi, Fatimah (2011) Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches. Journal of Computer Science, 7 (9). pp. 1358-1362. ISSN 1549-3636; ESSN: 1552-6607 http://thescipub.com/abstract/10.3844/jcssp.2011.1358.1362 10.3844/jcssp.2011.1358.1362
spellingShingle Farahmand, Mohammad
Md Sultan, Abu Bakar
Azmi Murad, Masrah Azrifah
Sidi, Fatimah
Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches
title Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches
title_full Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches
title_fullStr Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches
title_full_unstemmed Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches
title_short Optimizing title and Meta tags based on distribution of keywords; Lexical and semantic approaches
title_sort optimizing title and meta tags based on distribution of keywords; lexical and semantic approaches
url http://psasir.upm.edu.my/id/eprint/22505/
http://psasir.upm.edu.my/id/eprint/22505/
http://psasir.upm.edu.my/id/eprint/22505/
http://psasir.upm.edu.my/id/eprint/22505/1/22505.pdf