YouTube Search Algorithm

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YouTube Search Algorithm

YouTube has the 2nd largest search engine in the world.

You want the answer, not billions of videos, so YouTube ranking systems sort through the hundreds of billions of videos in our Search index to give you useful and relevant results in a fraction of a second.

These ranking systems are made up of a series of algorithms that analyze what it is you are looking for and what information to return to you. And as YouTube’ve evolved Search to make it more useful, YouTube’ve refined our algorithms to assess your searches and the results in finer detail to make their services work better for you.

Here are some of the ways YouTube uses Search algorithms to return useful information from the web

  • Analyzing the search key word
  • Matching search key word
  • Ranking useful videos
  • Considering context
  • Returning the best results

Analyzing the search key word



                               To find pages with relevant videos, first step is to analyze what the search query meas. They build language model to  try to decipher the key word. They use synonym system to get the meaning of the search key word even if the word has multiple definitions. This system took over 5 years to develop and improve the performance of the YouTube search engine.

Matching search key word



                               At the most basic level, their algorithms look the search terms in the index to find the appropriate videos. When we enter the search key word, search engine try to figure out if the video contain an answer to search query and doesn't repeat query. So search engine analyze whether the video include relevant content. 

Ranking useful videos



                               Their algorithm analyze videos from the freshness of the video, no of times that search that video, rank of that video. And also YouTube keep videos in the cache which video has high no of views. Then YouTube can load that video very quickly.

Considering context

                                     Information such as location, past search history, search activities, search settings is used to increase the performance of the YouTube search engine. For a example, they use our location to deliver video relevant for our area. For instance, if you search for “Barcelona” and recently searched for “Barcelona vs Arsenal”, that could be an important clue that you want videos about the football club, not the city. They use our recent search activities to improve the performance.

Returning the best video





                                    Before they serve results, they evaluate how all the relevant videos fits together. Is there only one topic among the search results or many? Are there too many videos focusing on it. They provide a diverse set of videos in formats that are most helpful for our search






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