Google Web and Image Search Visibility Data for Online Store

Strzelecki, Artur

doi:10.3390/data4030125

Cited by 13 publications

(9 citation statements)

References 22 publications

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“…Basic search engine visibility is combined data of unique keywords, positions, and URL results. According to the concept of search engine visibility described in [87], the visibility of websites in search engines comes from algorithms that rank and order them according to calculated ranking positions. The original concept [88] of ranking for the Google search engine is named PageRank, after one of Google's founders.…”

Section: Introductionmentioning

confidence: 99%

Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?

Strzelecki

2020

IJERPH

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The Google search engine answers many health and medical information queries every day. People have become used to searching for this type of information. This paper presents a study which examined the visibility of health and medical information websites. The purpose of this study was to find out why Google is decreasing the visibility of such websites and how to measure this decrease. Since August 2018, Google has been more rigorously rating these websites, since they can potentially impact people’s health. The method of the study was to collect data about the visibility of health and medical information websites in sequential time snapshots. Visibility consists of combined data of unique keywords, positions, and URL results. The sample under study was made up of 21 websites selected from 10 European countries. The findings reveal that in sequential time snapshots, search visibility decreased. The decrease was not dependent on the country or the language. The main reason why Google is decreasing the visibility of such websites is that they do not meet high ranking criteria.

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Section: Introductionmentioning

confidence: 99%

Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?

Strzelecki

2020

IJERPH

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“…Basic search engine results page is combined data of unique keywords, positions, and URL results. According to the concept of search engine visibility described in [7], the visibility of websites in search engines comes from algorithms that rank and order them according to calculated ranking positions. The original concept [8] of ranking for the Google search engine is named PageRank, after one of Google's founders.…”

Section: Literature Reviewmentioning

confidence: 99%

Direct Answers in Google Search Results

Strzelecki

Rutecka

2020

IEEE Access

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This study aims to explore Google's new "featured snippet" (a direct answer that appears in web search results) to better understand the method of extracting and displaying such answers above regular ranked results. The motivation for the study was to investigate form, structure, and relation to query, content, and domain of the direct answer. This study utilized a dataset of 743,798 keywords and the displayed direct answers. It also included web search data for every direct answer, e.g. resulting domain, full URL address and its original ranking, content of the direct answer, and competition (measured as the number of monthly searches for every query). The main finding concerns the form of construction of keywords used in the website content. Keywords should be built in the form of short, two-to-four-word sentences comprising the subject and its attribute. Using relative pronouns, articles, and prepositions, as well as using questions as queries, can help to properly define a query and display the best direct answer. The dataset is relatively small compared to the volume of searches made daily. No other factors were extracted from the URL, and all data concerned the Google search engine only. Implications for webmasters include: keywords used in website content should be close to grammar forms used in queries; use keywords in URLs; write a comprehensive introduction section on the webpage; and use tables and lists HTML markup. The main objective of this study was to examine the structure of the user's queries which caused in appearing of direct answers. It is comprehensive and based on real data used by web search engine users. The data used to support the findings have been deposited in the Zenodo repository (

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“…However, the implications of the research on cross-session and crossdevice information search go beyond the IS and IT fields. It has been well established that being visible when people search for product and/or company-related information is crucial for businesses [17], especially when digital transformation reshapes the way they operate [18]. Therefore, understanding the unique characteristics of cross-session and cross-device search and nuances of the search process is just as relevant for IS and IT as it is for business and marketing academics and practitioners.…”

Section: Introductionmentioning

confidence: 99%

Research on Cross-Session and Cross-Device Search: A Systematic Literature Review

2021

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The complex process of online information search has been of great interest to academics and practitioners, regarding its motivation, triggers, phases, and various aspects of user search behaviour. Web search spanning multiple sessions has been studied, including users switching between devices. The study presented in this paper aims to critically analyse two decades (2000 -2020) of research on cross-session and cross-device search. A systematic literature review of 29 journal papers and peer reviewed academic conference proceedings was conducted. The main results were extracted, synthesised, and presented. Topical (focus and terminology), methodological (data collection, sample size, sample type, and countries studied) and bibliometric (publication outlet and citations) aspects of online information search were evaluated and described. The paper identifies keywords for effective literature searches and adds new insights about effective research methods and sampling, the most cited publications and most influential authors in this field and the possibility of conducting interdisciplinary research. Both scholars and practitioners can use this study to gain a deeper understanding of the crosssession and cross-device search research agenda. Future research suggestions inform researchers about issues that warrant further attention.

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Google Web and Image Search Visibility Data for Online Store

Cited by 13 publications

References 22 publications

Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?

Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?

Direct Answers in Google Search Results

Research on Cross-Session and Cross-Device Search: A Systematic Literature Review

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