Search engine optimization algorithms for page ranking: comparative study
:No doubt that every second in our daily routine, the number of visitors that connect to the internet increase day by day due to the fast growing of World Wide Web. Until this day there are more than 11.3 billion web pages in the World Wide Web. In the modern era of technology and advance computatio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTHM
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4560/ http://eprints.uthm.edu.my/4560/1/AJ%202018%20%28792%29%20Search%20engine%20optimization%20algorithms%20for%20page%20ranking%20comparative%20study.pdf |
| _version_ | 1848888319998427136 |
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| author | Ullah, Arif Mohd Nawi, Nazri Sutoyo, Edi Shazad, Asim Khan, Sundas Naqeeb Aamir, Muhammad |
| author_facet | Ullah, Arif Mohd Nawi, Nazri Sutoyo, Edi Shazad, Asim Khan, Sundas Naqeeb Aamir, Muhammad |
| author_sort | Ullah, Arif |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | :No doubt that every second in our daily routine, the number of visitors that connect to the internet increase day by day due to the fast growing of World Wide Web. Until this day there are more than 11.3 billion web pages in the World Wide Web. In the modern era of technology and advance computation, world page ranking is becoming a common feature of modern retrieval system. However, many of us did not realise that any query in search engine will display both relevant and irrelevant data that can cause overhead to the search engine and will affect the page ranking process. Therefore, a new optimization technique to improve the existing search engine optimization in increasing the page ranking is needed. This paper presents a review and comparative study of different existing page ranking algorithms for search engine optimization. This paper also explores some improvements that are needed to overcome the current problem in this field by testing on some real case data. The simulation result’s analysis clearly shows that there is a need for new optimization technique which can reduce the complexity and user overhead by displaying only related data which will reduce over heading in search engine. |
| first_indexed | 2025-11-15T20:08:24Z |
| format | Article |
| id | uthm-4560 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:08:24Z |
| publishDate | 2018 |
| publisher | Penerbit UTHM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-45602021-12-07T07:25:47Z http://eprints.uthm.edu.my/4560/ Search engine optimization algorithms for page ranking: comparative study Ullah, Arif Mohd Nawi, Nazri Sutoyo, Edi Shazad, Asim Khan, Sundas Naqeeb Aamir, Muhammad TA168 Systems engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television :No doubt that every second in our daily routine, the number of visitors that connect to the internet increase day by day due to the fast growing of World Wide Web. Until this day there are more than 11.3 billion web pages in the World Wide Web. In the modern era of technology and advance computation, world page ranking is becoming a common feature of modern retrieval system. However, many of us did not realise that any query in search engine will display both relevant and irrelevant data that can cause overhead to the search engine and will affect the page ranking process. Therefore, a new optimization technique to improve the existing search engine optimization in increasing the page ranking is needed. This paper presents a review and comparative study of different existing page ranking algorithms for search engine optimization. This paper also explores some improvements that are needed to overcome the current problem in this field by testing on some real case data. The simulation result’s analysis clearly shows that there is a need for new optimization technique which can reduce the complexity and user overhead by displaying only related data which will reduce over heading in search engine. Penerbit UTHM 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/4560/1/AJ%202018%20%28792%29%20Search%20engine%20optimization%20algorithms%20for%20page%20ranking%20comparative%20study.pdf Ullah, Arif and Mohd Nawi, Nazri and Sutoyo, Edi and Shazad, Asim and Khan, Sundas Naqeeb and Aamir, Muhammad (2018) Search engine optimization algorithms for page ranking: comparative study. International Journal of Integrated Engineering, 10 (6). pp. 19-25. ISSN 2229-838X |
| spellingShingle | TA168 Systems engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Ullah, Arif Mohd Nawi, Nazri Sutoyo, Edi Shazad, Asim Khan, Sundas Naqeeb Aamir, Muhammad Search engine optimization algorithms for page ranking: comparative study |
| title | Search engine optimization algorithms for page ranking: comparative study |
| title_full | Search engine optimization algorithms for page ranking: comparative study |
| title_fullStr | Search engine optimization algorithms for page ranking: comparative study |
| title_full_unstemmed | Search engine optimization algorithms for page ranking: comparative study |
| title_short | Search engine optimization algorithms for page ranking: comparative study |
| title_sort | search engine optimization algorithms for page ranking: comparative study |
| topic | TA168 Systems engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
| url | http://eprints.uthm.edu.my/4560/ http://eprints.uthm.edu.my/4560/1/AJ%202018%20%28792%29%20Search%20engine%20optimization%20algorithms%20for%20page%20ranking%20comparative%20study.pdf |