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The point-for-point disagreement between these two parties that addressed the compilation/text excerpting and very small sample size issues—argued to bias the outcome in favor of Wikipedia, versus a comprehensive, full article, large sample size study favoring the quality-controlled format of Britannica—have been echoed in online ...
The repository stores the most recent version of the web page retrieved by the crawler. [citation needed] The large volume implies the crawler can only download a limited number of the Web pages within a given time, so it needs to prioritize its downloads. The high rate of change can imply the pages might have already been updated or even deleted.
For instance, the new application might use another database vendor and most likely a very different database schema. ETL can be used to transform the data into a format suitable for the new application to use. An example would be an expense and cost recovery system such as used by accountants, consultants, and law firms.
Large-scale retrieval systems, such as the Lockheed Dialog system, came into use early in the 1970s. In 1992, the US Department of Defense along with the National Institute of Standards and Technology (NIST), cosponsored the Text Retrieval Conference (TREC) as part of the TIPSTER text program. The aim of this was to look into the information ...
Wikipedia is not a reliable source for academic writing or research. Wikipedia is increasingly used by people in the academic community, from first-year students to distinguished professors, as an easily accessible tertiary source for information about anything and everything and as a quick "ready reference", to get a sense of a concept or idea.
[3] [9] [10] [11] No one at YouTube had consulted anyone at Wikipedia about this development, and the news at the time was a surprise. [9] The intent at the time was for YouTube to use Wikipedia as a counter to the spread of conspiracy theories . [ 9 ]
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General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).