Improving the performance of Web access by bridging global ranking with local page popularity metrics

Abstract

Considers the problem of improving the performance of Web access by proposing a reconstruction of the internal link structure of a Web site in order to match the quality of the pages (measured in terms of their link importance in the Web space ± global ranking) with the popularity of the pages (measured in terms of their importance recognized by Web users ± local metrics). Provides a set of simple algorithms for local reorganization of a Web site, which results in improving users' access to quality pages in an easy and quick way.

Enhancing online visibility through strategic alliances: the case of bank-FinTech relationships

“…To test our research hypotheses, we implemented Google_PageRank as the measure of FinTechs' website ranking. Google lists search results based on the PageRank algorithm (Garofalakis et al, 2002), which measures the quality of a website through the number of references (or links) to it, giving more weight to links from high-traffic websites, and assigns a score from 0 to 10 ( Murphy and Scharl, 2007). Accordingly, the ordinal categorical variable Google_PageRank assumes a value between 0 and 10, so that the higher the score, the higher a website's position.…”

“…website ranking and website traffic (Wang and Xu, 2017;Serrano-Cinca et al, 2010). The proxy used for website ranking is Google PageRank, which measures the quality of FinTechs' website through the number of references (or links) to it, giving more weight to links from high-traffic websites (Garofalakis et al, 2002;Murphy and Scharl, 2007). From FinTechs' perspective, Google PageRank represents the degree of accessibility and popularity of their website achieved through internal advertising and outreach efforts, but also through the attention that external online content creators (partners, blogs, online magazines, newspapers, etc.)…”

“…, 2010). The proxy used for website ranking is Google PageRank, which measures the quality of FinTechs' website through the number of references (or links) to it, giving more weight to links from high-traffic websites (Garofalakis et al. , 2002; Murphy and Scharl, 2007).…”