How Does Machine Learning Help Rank Search Results?

muntaha

As Google Web Trends Analyst Gary Illyes recently spoke about indexing pages in search results , the engine tries to continually improve its search results. Greg Corrado, head of machine learning at Google, launched RankBrain in April 2015. This improvement in the algorithm changes the positioning of search results depending on how the user's query is interpreted. It feeds itself based on user requests instead of being pre-configured by Google engineers. It's not an update like Google Panda or Penguin.

Which modifies the positioning of search results according to the interpretation made of the user's request. No AI to automatically manage search results ranking However, if AI saves time, practical cases, such as Denmark Phone Number translation, are not yet up to the task. Personalities like Elon Musk and Stephen Hawking are also warning about the pitfalls of AI. Is Google ready to let go and let the AI ​​take over its engine? When it comes to processing its search engine results , Google does not want machine learning to be directly involved in ranking search results.



Indeed, this represents too great a risk for the engine. Even if some positioning factors are self-explanatory, most current AI systems are quite obscure. Impossible to modify them punctually. Thus to the question “how can a machine apprehend human intuition? the experts cannot answer with certainty. However, Google makes it a point of honor to improve the quality of its search results. To do this, Search Quality Raters rate the search results and automated systems send signals to the algorithms.