Evolution of web positioning factors and adaptation of optimization tools

Authors

  • Jorge Morato Universidad Carlos III de Madrid
  • Sonia Sánchez-Cuadrado Universidad Carlos III de Madrid
  • Valentín Moreno Universidad Carlos III de Madrid
  • Jose Antonio Moreiro Universidad Carlos III de Madrid

DOI:

https://doi.org/10.3989/redc.2013.3.956

Keywords:

SEO tools, search engine optimization, web positioning

Abstract


Search Engine Optimization (SEO) tools are designed to analyze and optimize resources regarding positioning factors. Web positioning techniques are applied in order to improve the relevancy of web resources. Webmasters usually use SEO tools to analyze a web site according to some positioning factor. They are required to be updated to achieve two basic goals: to increase the user’s satisfaction while searching the web and to decrease web spamming. We have studied the trends that affect positioning algorithms and optimization techniques. Several SEO tools were analysed in order to learn which functionalities have been implemented. Furthermore, an experiment was performed to test how the positioning factors help optimize the results and if these factors are present in the functionalities found in the SEO tools. Finally, a literature review was carried out to detect future trends in search engines’ algorithms. Results show that SEO tools help in the optimization process but to an insufficient degree; therefore the algorithm’s evolution study suggests that there is a need for major updates in the short term.

Downloads

Download data is not yet available.

References

Allen, J. (2010). 7 Reasons Why Google Instant Makes SEO Dead-on Relevant. Search Engine Watch. Disponible en: http://searchenginewatch.com/article/2050595/7-Reasons-Why-Google-Instant-Makes-SEO-Dead-on-Relevant [20/11 /2011].

Arbildi, I. (2005). Posicionamiento en buscadores: una metodología práctica de optimización de sitios web. El profesional de la información, 14 (2), pp. 108-124. http://dx.doi.org/10.3145/epi.2005.mar.03

Baeza-Yates, R.; Ribeiro-Neto, B. (2011). Modern Information Retrieval: the concepts and technology behind search. (2ª ed.). Harlow (Reino Unido): Addison Wesley, p. 944.

Brin, S.; Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Proceedings 7th International Conf. World Wide Web 7. Brisbane, Australia: Elsevier, pp. 107-117.

Feuz, M.; Fuller, M.; Stalder, F. (2011). Personal Web searching in the age of semantic capitalism: Dianosing the mechanisms of personalitation. First Monday, 16 (2). Disponible en: http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/3344/2766 [7/2/2011].

Flynn, L. J. (1999). Desperately Seeking Surfers. New York Times. 11 noviembre 1996. Disponible en: http://www.nytimes.com/1996/11/11/business/desperately-seeking-surfers.html [20/11/2011].

Gyöngyi, Z.; Garcia-Molina, H. (2005). Web spam taxonomy. Proc. First International Workshop on Adversarial Information Retrieval on the Web (AIRWeb). NY: ACM. Disponible en: http://airweb.cse.lehigh.edu/2005/gyongyi.pdf [12/3/2012].

Hitwise (2008). Google Receives 68 Percent of U.S. Searches in May 2008. Disponible en: http://www.hitwise.com/us/about-us/press-center/press-releases/archived-press-releases/leader-record-growth/ [20/11/2011].

Hitwise (2011). Bing-powered share of searches reaches 30 percent in March 2011. Experian Hitwise reports. Disponible en: http://www.hitwise.com/us/about-us/press-center/press-releases/experian-hitwise-reports-bing-powered-share-of-s/ [11/4/2011].

Karch, M. (2011). Google Bombs Explained: What in the World is a Google Bomb?. Disponible en: http://google.about.com/od/socialtoolsfromgoogle/a/googlebombatcl.htm [8/12/2011].

Kleinberg, J. (1998). Authoritative Sources in a Hyperlinked Environment. J. ACM, 46 (5), pp. 604-632. http://dx.doi.org/10.1145/324133.324140

Kobayashi, M.; Takeda, K. (2000). Information retrieval on the web. ACM Computing Surveys, 32 (2), pp. 144-173. http://dx.doi.org/10.1145/358923.358934

Leighton, H. V.; Srivastava, J. (1999). First 20 Precision among World Wide Web Search Services (Search Engines). JASIS, 50 (10), pp. 870-881. http://dx.doi.org/10.1002/(SICI)1097-4571(1999)50:10<870::AID-ASI4>3.0.CO;2-G

Long, X.; Suel, T. (2003). Optimized query execution in large search engines with global page ordering. VLDB ‘03 Proceedings of the 29th international conference on Very large data bases. Berlin: Morgan Kaufmann, vol. 29, p. 129-140.

Manning, C. D.; Raghavan, P.; Schütze, H. (2008). Introduction to Information Retrieval: Cambridge University Press. Disponible en: http://nlp.stanford.edu/IR-book/ [12/3/2012]. http://dx.doi.org/10.1017/CBO9780511809071

Marchiori, M. (1997). The quest for correct information on the web: Hyper search engines. Proceedings of the Sixth International WWW Conference. Reino Unido: Elsevier, p. 1225-1235. Disponible en: http://www.w3.org/People/Massimo/papers/WWW6/ [20/11/2011].

Miller, M. (2011). Google searches use autocomplete most, ignore Google Instant (eye tracking study). Search Engine Watch. http://searchenginewatch.com/author/2028/miranda-miller [ 28/11/2011].

Morato, J.; Sánchez-Cuadrado, S.; Valiente, M. C. (2005). Análisis de las estrategias de posicionamiento en relación a la relevancia documental. El profesional de la información, 18 (1), pp. 21-29. http://dx.doi.org/10.3145/epi.2005.feb.03

Moreno, V. (2005). Interacción entre medidas de popularidad en el posicionamiento web. El profesional de la información, 14 (2), pp. 100-107. http://dx.doi.org/10.3145/epi.2005.mar.02

Moreno, V.; Morato, J.; Sánchez-Cuadrado, S. (2011). Method and system for estimating the position of a resource. WIPO Patent Application WO/2011/061356.

Pariser, E. (2011). Beware Online ‘Filter Bubbles’. TED 2011 (March). Disponible en: http://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.html [20/11 /2011].

Rooney, B. (2012). Google Searches for Niche Role in Europe. Wall Street Journal. 23/01/2012.

Singhal, A. (2011). Giving you fresher, more recent search results. The Official Google Blog. 11/03/2011. Disponible en: http://googleblog.blogspot.com/2011/11/giving-you-fresher-more-recent-search.html [3/11 /2011].

Thies, D. (2004). Special Report: How To Prosper With The New Google. SEO Research Labs. Disponible en: http://www.seoresearchlabs.com/seo-research-labs-google-report.pdf [20/11 /2011].

Wall, A. (2006). Search Engine History. Disponible en: http://www.searchenginehistory.com/ [20/11/2011].

Wall, A. (2011). How Search Engines Work: Search Engine Relevancy Reviewed. Disponible en: http://www.seobook.com/relevancy/ [20/11/2011].

Wingfield, N. (2011). Microsoft Fires Back at Google, Calls Copying Claims ‘Insulting’. Wall Street Journal. 3/2/2011. Disponible en: http://online.wsj.com/ [3/2/2011].

Witten, I. H.; Frank, E.; Hall, M. A. (2011). Data Mining: Practical Machine Learning Tools and Techniques. (3ª ed.). Burlington (MA): Morgan Kaufmann, p. 629.

Published

2013-09-30

How to Cite

Morato, J., Sánchez-Cuadrado, S., Moreno, V., & Moreiro, J. A. (2013). Evolution of web positioning factors and adaptation of optimization tools. Revista Española De Documentación Científica, 36(3), e018. https://doi.org/10.3989/redc.2013.3.956

Issue

Section

Studies