When we were dealing with “terms” (keywords) in traditional searches, we encountered certain problems with polysemy (when a word can have several meanings) and synonyms (several words with which we identify the same concept).
The search engine was not always able to identify the meaning of the user's query.
Sometimes, names: polysemy (for example, a “leaf” can be a paper on which we write, a part of a plant or we can even refer to the blade of a knife).
But it can also happen that we refer to the same thing with different words (synonymy).
Thus, if a query is made about “Valladolid”, it may refer to the city of conduit cn mobile database Castilla León or to the Real Valladolid Football Club, this would be an example of polysemy .
If the search engine has no more data, it will have to show results for both concepts.
In this case, the city will surely prevail over the football team for the sole reason that it is the city that originally gives the team its name.
But what would happen, for example, if I carried out the same search at the time when the Valladolid football team was playing an important match?
In that case the context changes.
The moment in which the search is performed is a signal that I am probably looking for information about the match and the results shown will give more importance to this entity.
We can identify the same concept with several
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