Zobrazeno 1 - 10
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pro vyhledávání: '"Lewandowski, Dirk"'
Autor:
Lewandowski, Dirk
Publikováno v:
Journal of Information Science Theory and Practice, Vol 5, Iss 4, Pp 6-25 (2017)
In this paper, a large-scale study on users' understanding of search-based advertising is presented. It is based on (1) a survey, (2) a task-based user study, and (3) an online experiment. Data were collected from 1,000 users representative of the Ge
Externí odkaz:
https://doaj.org/article/9bf1f966efa04a07877dbb776ef96740
Search engines, such as Google, have a considerable impact on society. Therefore, undesirable consequences, such as retrieving incorrect search results, pose a risk to users. Although previous research has reported the adverse outcomes of web search,
Externí odkaz:
http://arxiv.org/abs/2305.16990
Publikováno v:
CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14 - 18, 2022
Searching for medical information is both a common and important activity since it influences decisions people make about their healthcare. Using search engine optimization (SEO), content producers seek to increase the visibility of their content. SE
Externí odkaz:
http://arxiv.org/abs/2301.10105
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
Publikováno v:
Behaviour & Information Technology (2022)
This research focuses on what users know about search engine optimization (SEO) and how well they can identify results that have potentially been influenced by SEO. We conducted an online survey with a sample representative of the German online popul
Externí odkaz:
http://arxiv.org/abs/2204.10078
Autor:
Lewandowski, Dirk
This article discusses Web search engines; mainly the challenges in indexing the World Wide Web, the user behaviour, and the ranking factors used by these engines. Ranking factors are divided into query-dependent and query-independent factors, the la
Externí odkaz:
http://hdl.handle.net/10150/106395