Analyzing and Tuning User Queries to Search Engines

published in Studia Universitatis Babeş-Bolyai, Seria Informatica, Vol. LVII, No. 3, pp. 41-48, 2012.

Cite as

Full paper

Analyzing and Tuning User Queries to Search Engines

Authors

Darius Bufnea
Department of Computer Science, Faculty of Mathematics and Computer Science,
Babeş-Bolyai University of Cluj-Napoca

Abstract

There are certain situations when a web site’s visitor using a search engine as a referrer will not be correctly redirected to the desired product or information page, although such a page exists within the web site. This paper presents a solution for a web site to locally further analyze and tune user queries to search engines in order to lead the user to the page describing the product he is interested in. This can improve the visibility of products within the website and in the same time increase its conversion rate. Misdirecting the user and failing in satisfying his interest will be reflected in the revenue amount of a website; on the contrary, satisfied visitors can become potential clients and on a long time scale can improve the website’s ranking within a search engine.

Key words

Web Referrer, Search Query, User Experience

BibTeX bib file

bufnea-2012.bib

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