跳至主要内容

Website Search Engine Optimization: Geographical and Cultural Point of View

Read full paper at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52393#.VJOTKcCAM4

The concept of Webpage visibility is usually linked to search engine optimization (SEO), and it is based on global in-link metric [1]. SEO is the process of designing Webpages to optimize its potential to rank high on search engines, preferably on the first page of the results page. The purpose of this research study is to analyze the influence of local geographical area, in terms of cultural values, and the effect of local society keywords in increasing Website visibility. Websites were analyzed by accessing the source code of their homepages through Google Chrome browser. Statistical analysis methods were selected to assess and analyze the results of the SEO and search engine visibility (SEV). The results obtained suggest that the development of Web indicators to be included should consider a local idea of visibility, and consider a certain geographical context. The geographical region that the researchers are considering in this research is the Hashemite kingdom of Jordan (HKJ). The results obtained also suggest that the use of social culture keywords leads to increase the Website visibility in search engines as well as localizes the search area such as google.jo, which localizes the search for HKJ.
Cite this paper
Rababah, O. , Al-Shboul, M. , Al-Zaghoul, F. and Ghnemat, R. (2014) Website Search Engine Optimization: Geographical and Cultural Point of View. Journal of Software Engineering and Applications, 7, 1087-1095. doi: 10.4236/jsea.2014.713096. 
 

[1] Martinez-Torres, M. and Diaz-Fernandez, M. (2013) A Study of Global and Local Visibility as Web Indicators of Research Production. Research Evaluation, 22, 157-168.
http://dx.doi.org/10.1093/reseval/rvt003
[2] Kim, J.Y., Collins-Thompson, K., Bennett, P.N. and Dumais, S.T. (2012) Characterizing Web Content, User Interests, and Search Behavior by Reading Level and Topic. Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, Seattle, 8-12 February 2012, 213-222.
http://dx.doi.org/10.1145/2124295.2124323
[3] Dou, Z., Song, R. and Wen, J.R. (2007) A Large-Scale Evaluation and Analysis of Personalized Search Strategies. Proceedings of the 16th International ACM Conference on World Wide Web, Edmonton, 8-12 May 2007, 581-590.http://dx.doi.org/10.1145/1242572.1242651
[4] Liu, S., Zou, Q. and Chu, W.W. (2004) Configurable Indexing and Ranking for XML Information Retrieval. Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, 25-29 July 2004, 88-95.
[5] Radlinski, F., Kurup, M. and Joachims, T. (2008) How Does Click-through Data Reflect Retrieval Quality? Proceedings of the 17th ACM Conference on Information and Knowledge Management, Napa Valley, 26-30 October 2008, 43- 52.
[6] Sanderson, M. (2008) Ambiguous Queries: Test Collections Need More Sense. Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Singapore, 20-24 July 2008, 499-506.
[7] Barry, C. and Charleton, D. (2009) In Search of Search Engine Marketing Strategy amongst SME’s in Ireland. Communications in Computer and Information Science, 48, 113-124.
http://dx.doi.org/10.1007/978-3-642-05197-5_8
[8] Digital River (2014) What is Organic Search?
http://www.domsreport.com/www/developer-resource.com
[9] Green, D.C. (2003) Search Engine Marketing: Why It Benefits Us All. Business Information Review, 20, 195-202.http://dx.doi.org/10.1177/0266382103204005
[10] Shah, B.P. (2009) Search Engine Visibility of National Tourism Promotion Websites: A Case of Nepal. Proceedings of the 3rd International ACM Conference on Theory and Practice of Electronic Governance, Bogotá, 10-13 November 2009, 287-292.
[11] Pearrow, M. (2007) Web Usability Handbook. 2nd Edition, Charles River Media Inc., Boston.
[12] Xiang, Z., Wöber, K. and Fesenmaier, D.R. (2008) Representation of the Online Tourism Domain in Search Engines. Journal of Travel Research, 47, 137-150.
http://dx.doi.org/10.1177/0047287508321193
[13] Zhang, J. and Dimitroff, A. (2005) The Impact of Metadata Implementation on Webpage Visibility in Search Engine Results (Part II). Information Processing & Management, 41, 691-715.
http://dx.doi.org/10.1016/j.ipm.2003.12.002
[14] Bifet, A., Castillo, C., Chirita, P.A. and Weber, I. (2005) An Analysis of Factors Used in Search Engine Ranking. Proceedings of the 14th International World Wide Web Conference, Chiba, 10-14 May 2005, 1-10. http://airweb.cse.lehigh.edu/2005/bifet.pdf
[15] Joachims, T. (2002) Optimizing Search Engines Using Click-Through Data. Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Alberta, 23-25 July 2002, 133-142. http://dx.doi.org/10.1145/775047.775067
[16] Thomas, P. and Hawking, D. (2006) Evaluation by Comparing Result Sets in Context. Proceedings of the 15th ACM International Conference on Information and Knowledge Management, Arlington, 5-11 November 2006, 94-101.
[17] Radlinski, F. and Craswell, N. (2010) Comparing the Sensitivity of Information Retrieval Metrics. Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, 19-23 July 2010, 667-674.
[18] Brin, S. and Page, L. (1998) The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks and ISDN Systems, 30, 107-117.
http://dx.doi.org/10.1016/S0169-7552(98)00110-X
[19] Xiang, B., Jiang, D., Pei, J., Sun, X., Chen, E. and Li, H. (2010) Context-Aware Ranking in Web Search. Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, 19-23 July 2010, 451-458.
[20] Seidl, T. and Kriegel, H.P. (1998) Optimal Multi-Step K-Nearest Neighbor Search. ACM SIGMOD Record, 27, 154- 165. http://dx.doi.org/10.1145/276305.276319
[21] Stockwell, J. (2011) Keyword Research Tools.
http://www.keyworddiscovery.com/static/keyword-tool-reviews.pdf
[22] Rajaraman, A. and Ullman, J.D. (2011) Mining of Massive Datasets. Cambridge University Press, Cambridge.
[23] Schultz, J. and Fristedt, J. (2005) Calling All Search Engines. Association Management International, 25, 8-13.http://www.associationmanagement.co.uk/AMI/Home/AMI/Home.aspx
[24] Manning, C.D., Raghavan, P. and Schütze, H. (2008) Introduction to Information Retrieval. Cambridge University Press, Cambridge. http://dx.doi.org/10.1017/CBO9780511809071
[25] Barkla, J.K. (1969) Construction of Weighted Term Profiles by Measuring Frequency and Specificity in Relevant Items. Proceedings the 2nd International Cranfield Conference on Mechanized Information Storage and Retrieval Systems, Cranfield, 2-5 September 1969, 22-36.
[26] Miller, W.L. (1970) The Evaluation of Large Information Retrieval Systems with Application to Medlars. Ph.D. Thesis, Newcastle University, Newcastle.             
[27] Miller, W.L. (1971) A Probabilistic Search Strategy for Medlars. Journal of Documentation, 27, 254-266.http://dx.doi.org/10.1108/eb026520
[28] Teevan, J., Dumais, S.T. and Horvitz, E. (2005) Personalizing Search via Automated Analysis of Interests and Activities. Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, 15-19 August 2005, 449-456.eww141219lx
标签：

评论

发表评论

此博客中的热门博文

Does Immigration Promote the Investment of the Monopolistic Firm?

In the present paper, we examine the effect of increasing uncertainty of immigrants’ growth on the optimal timing of investment of a firm that has a monopolistic power over the labor market. It is revealed that when the uncertainty of immigrants’ growth is more than a threshold level, increasing uncertainty of immigrants’ growth accelerates the optimal timing of firms’ investment and enhances the economic growth, even if the uncertainty of immigrants’ growth is formulated by the geometric Brownian motion, which is in sharp contrast to the standard result that an increase in the uncertainty postpones the optimal timing. With an increase in the immigrants over the past ten years, workforces in the host countries have been growing significantly to the extent that the immigrants represent 70% of the increase in the workforce in Europe, and 47% in the United States as OECD indicates. In the present paper, we attempted to investigate the effect of increased uncertainty caused by the growi...
发表评论
阅读全文

Education Policy Implementation: A Mechanism for Enhancing Primary Education Development in Zanzibar

Education is one of the fundamental rights of individuals; therefore, the government of a country needs to develop and strengthen educational policy and quality as well as to ensure that everyone has equal access to basic education. The improvement of access and quality of education in the world is becoming as an essential factor in development, whereas the basic education (primary school), is acknowledged as a foundation of the higher educational development for every country. To fulfill this goal, governments introduce several policies and procedures; however, it requires some reforms and participation from the politician, policymakers, and other stakeholders to re-examine educational policy so that it can lead to multiplication and betterment of the reforms. Educational reforms actually focus on accountability. A positive educational development and reform is very challenging and needs more effort and strategy on how to use and utilize the resources effectively as such it can achie...
发表评论
阅读全文