Semantic search for search engines
At first we looked in the encyclopedia.
Then came the Internet with its directories (...which I wouldn't even call the Internet until Altavista).
Search engines were a revolution that we are still experiencing.
And in fact, ever since they appeared, the mechanics have always been the same: the user poses a query and the engine returns a list of pages that best answer that query.
The only thing that has changed, and that is no small thing, is the way in which search engines display those results (SERPs), that is: the algorithm.
From the simple “one link, one vote,” Google’s mission has always been to improve the algorithm to achieve increasingly relevant results for the user.
The future of search
Google has been working to improve semantic search since the 1990s, and judging by its latest efforts (BERT), nothing makes us think that now that it is working on it, it will change course or slow down in this endeavor.
are blurred, or rather, drawn differently.
Wearables and personal assistants are gradually making search conduit cn mobile database results disappear, and increasingly only the single “result” counts: the most relevant one.
What's more, it is expected that Rankrain will gradually continue to learn and improve.
As a result, we will see that the search engine will increasingly know our personal context better and will be more effective in finding that unique answer that resolves our query.
In this way, we will finally get closer to the utopia that Google proposes of achieving that we do not even have to make the query, but that Google will provide us with the information we need at any given time.
The way we search leads us to a world where SERPs
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