Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yagci, Nurce"'
When it comes to search engines, users generally prefer Google. Our study aims to find the differences between the results found in Google compared to other search engines. We compared the top 10 results from Google, Bing, DuckDuckGo, and Metager, us
Externí odkaz:
http://arxiv.org/abs/2207.07330
Akademický článek
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Research data for the paper "Query sampler: generating query sets for analyzing search engines using keyword research tools", DOI 10.7717/peerj-cs.1421.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b8877ed7e6be7e8f16812fa4361698
Autor:
Sünkler, Sebastian, Rödl, Malte, Sygulla, Daniela, Yagci, Nurce, Von Mach, Sonja, Lewandowski, Dirk, Schultheiß, Sebastian
Scraped data from RAT with SEO classification on Swedish climate denial search queries sent to DuckDuckGo and Google without scraped HTML.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22abe71c3bc6943463434ecf6065ec11
Search engine queries are the starting point for studies in different fields, such as health or political science. These studies usually aim to make statements about social phenomena. However, the queries used in the studies are often created rather
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6846404f4acdb828b4ffcb69c591ee28
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85163151713
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85163151713
Autor:
Lewandowski, Dirk, Yagci, Nurce, Sünkler, Sebastian, Schultheiß, Sebastian, Von Mach, Sonja, Sygulla, Daniela
The project's overall goal is to continue to develop and enhance the Result Assessment Tool (RAT) so that it will become a stable, flexible and sustainable tool for conducting studies that deal with the collection and analysis of data from search eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62389aec7b608c0fb3392172c22af999
Autor:
Sünkler, Sebastian1 sebastian.suenkler@haw‐hamburg.de, Yagci, Nurce1 nurce.yagci@haw‐hamburg.de, Sygulla, Daniela1 daniela.sygulla@haw‐hamburg.de, von Mach, Sonja1 sonja.vonmach@haw‐hamburg.de, Schultheiß, Sebastian1 sebastian.schultheiss@haw‐hamburg.de, Lewandowski, Dirk2 dirk.lewandowski@haw‐hamburg.de
Publikováno v:
Proceedings of the Association for Information Science & Technology. Oct2023, Vol. 60 Issue 1, p1143-1145. 3p.
Autor:
Yagci, Nurce
Data of a study to measure domain overlap in Google, Bing, DuckDuckGo, and Metager using German and US-American Google Trends as query sets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db75380c9a7a263c902182609280f765
Autor:
Von Mach, Sonja, Lewandowski, Dirk, Sünkler, Sebastian, Schultheiß, Sebastian, Sygulla, Daniela, Yagci, Nurce
Research data for the paper "A Comparison of Source Distribution and Result Overlap in Web Search Engines" for ASIS&T 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fccbc66ef350fbbae3ca98bf36620e26