But these famous interaction data are not the only elements on which Google relies. Society has investe in many different technologies to help it better understand the connections between entities like people, places and things. The Knowledge Graph is one such technology, which is no more and no less than a huge database of entities and the relationships they have between them. Apple (the fruit in English) and Apple (the company) are entities known to the Knowledge Graph. Google uses the links between entities to better understand the relevance of a page. A result that matches “apple” and also talks about oranges and bananas clearly refers to the fruit. But one that also talks about iPhone, iPad and iOS certainly talks about the company. It is partly thanks to this Knowledge Graph that Google can do more than just match keywords.
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Sometimes you may see search results that don’t even contain the keywords that seem important in the query. For example, if we look at some first page results for “apple paper app”, the word “apple” is not in the content. Google knows this is a relevant result largely because the page mentions entities like iPhone and iPad which are obviously very close to Apple in the Knowledge Graph. NOTE Interaction data and the Knowledge Graph are Bahrain Email List Argentina Email List not the only technologies usd by Google to gauge the relevance of a page to the search query. Much of the work also relies on other technologies to understand the meaning and intentions behind the query itself, such as BERT and RankBrain. Sometimes Google rewrites the query without showing it to give more relevant results.
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Freshness Freshness (how recent the content is) is also a factor that will depend on the query, it will matter more for some queries than for others. For a query like “latest releases on amazon prime” freshness is very important because users want to know what are the latest movies and series that have been adde to the catalog. This is why Google will place recently publishe or updatd pages first. For queries like “best headphones”, freshness also matters, but a little less so. Audio technology moves fast so a result from 2015 won’t matter much, but an article from 2 or 3 months ago could still be helpful. Google knows this and may show results that have been publishd or updatd in the last few months.