Estimating Google's search engine ranking function from a search engine optimization perspective

doi:10.1108/OIR-04-2015-0112

Paper

Estimating Google's search engine ranking function from a search engine optimization perspective

Published Mar 31, 2016 · Cheng-Jye Luh, Sheng-An Yang, T. Huang

Online Inf. Rev.

UNKNOWN SJR score

70

Citations

3

Influential Citations

Full textSemantic Scholar

Abstract

Purpose – The purpose of this paper is to estimate Google search engine’s ranking function from a search engine optimization (SEO) perspective. Design/methodology/approach – The paper proposed an estimation function that defines the query match score of a search result as the weighted sum of scores from a limited set of factors. The search results for a query are re-ranked according to the query match scores. The effectiveness was measured by comparing the new ranks with the original ranks of search results. Findings – The proposed method achieved the best SEO effectiveness when using the top 20 search results for a query. The empirical results reveal that PageRank (PR) is the dominant factor in Google ranking function. The title follows as the second most important, and the snippet and the URL have roughly equal importance with variations among queries. Research limitations/implications – This study considered a limited set of ranking factors. The empirical results reveal that SEO effectiveness can be as...

Highly Cited

Study Snapshot

PageRank is the dominant factor in Google's ranking function, followed by title, snippet, and URL, with SEO effectiveness varying among queries.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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References

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Incorporating user behavior data into web search ranking algorithms can improve accuracy by as much as 31%, enhancing competitive algorithms by as much as 31%.

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Titles should be short, clear, and relevant to the content, with key words included for better search engine optimization and discoverability.

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SEO should be an adaptive process integrating intelligent models and tools, aiming to improve and optimize a website's ranking in search engine results.

Wikipedia-based query phrase expansion in patent class search

Our novel query phrase expansion approach using semantic annotations in Wikipedia pages improves patent information retrieval precision and reduces topic drift, outperforming relevance-based language models.

Citations

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