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Research paper on search engine

URLs in this document have been updated. If a replacement link was located, the new URL was added and the link is active; if a new site could not be identified, the broken link was removed. Copyright , Nedelina Tchangalova and Francy Stilwell. Used with permission. Not only are there alternative general search engines beyond Google and Yahoo, there are an abundance of specialized search engines for finding specialized content.
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11.4 Strategies for Gathering Reliable Information

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List of academic databases and search engines - Wikipedia

As an author of a blog on contemporary scientific publishing, I am forced to stress frequently two important facts. Firstly, a growing number of researchers use the internet in their work to search for literature and to communicate with other researchers, and secondly, the internet is getting crowded. That is why some people are starting to consider the ways of making their research more visible on the net. This is a controversial issue and it can be interpreted as cheating or unfair competition, but in fact good Search Engine Optimization SEO practices is nothing of the kind. As you will see, academic SEO is just a set of a few tips that you should consider after finishing work on your book or paper, and which could help you to get views, downloads and citations. However, it will only work if the publication itself is good and interesting enough. Academic SEO does not substitute but supports the quality of content.
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List of academic databases and search engines

Gebru, a widely respected leader in AI ethics research, is known for coauthoring a groundbreaking paper that showed facial recognition to be less accurate at identifying women and people of color, which means its use can end up discriminating against them. She also cofounded the Black in AI affinity group, and champions diversity in the tech industry. The team she helped build at Google is one of the most diverse in AI and includes many leading experts in their own right. Peers in the field envied it for producing critical work that often challenged mainstream AI practices. She was cut off from her corporate email account before her return.
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In particular, what makes this new model better is that it is able to understand passages within documents in the same way BERT understands words and sentences, which enables the algorithm to understand longer documents. Google does not generally say what specific algorithms it is using. Although the researchers say that this algorithm outperforms BERT, until Google formally states that the SMITH algorithm is in use to understand passages within web pages, it is purely speculative to say whether or not it is in use. SMITH is a new model for trying to understand entire documents.
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