Difference between revisions of "Wikipedia Page View Reflects Web Search Trend"
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| − | '''Wikipedia Page View Reflects Web Search Trend''' - scientific work related to Wikipedia quality published in 2015, written by Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda and Mikio Yamamoto. | + | '''Wikipedia Page View Reflects Web Search Trend''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Mitsuo Yoshida]], [[Yuki Arase]], [[Takaaki Tsunoda]] and [[Mikio Yamamoto]]. |
== Overview == | == Overview == | ||
| − | The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to search engine providers. In this paper, authors investigate whether search frequency can be estimated from a different resource such as Wikipedia page views of open data. Authors found frequently searched keywords to have remarkably high correlations with Wikipedia page views. This suggests that Wikipedia page views can be an effective tool for determining popular global web search trends. | + | The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to search engine providers. In this paper, authors investigate whether search frequency can be estimated from a different resource such as [[Wikipedia]] page views of open data. Authors found frequently searched keywords to have remarkably high correlations with Wikipedia page views. This suggests that Wikipedia page views can be an effective tool for determining popular global web search trends. |
Revision as of 20:48, 4 April 2020
Wikipedia Page View Reflects Web Search Trend - scientific work related to Wikipedia quality published in 2015, written by Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda and Mikio Yamamoto.
Overview
The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to search engine providers. In this paper, authors investigate whether search frequency can be estimated from a different resource such as Wikipedia page views of open data. Authors found frequently searched keywords to have remarkably high correlations with Wikipedia page views. This suggests that Wikipedia page views can be an effective tool for determining popular global web search trends.
