The search engine can use data from this website representation vector classification system to return search results.
This classification system may use representations for each of the many websites AN and use the representations to determine a classification for each of the many websites AN.
The search engine decides to use the classification for a search query to select a category of websites with the same or similar classification.
It can return search results from this category of websites.
The classifications of these websites are based on the pattern features that the websites contain.
How are website classifications generated?
This was the part of the patent description that interested me the most.
The part starts by saying that this website view vector slovenia phone number data classification system could use any suitable method to generate classifications, which gives Google a lot of flexibility.
But then it goes into even more detail by telling us that classification can be based on the content of websites to generate representations of those websites.
This content may include:
Text from the website
pictures on the website
Other website content, e.g. links
Or a combination of two or more of these elements
The patent then provides details on how a neural network is integrated:
The website classification system may use a mapping that maps the website content for the website A to a vector space that identifies a representation for website A.
For instance, the website classification system may use a neural network, that represents the mapping, to create a feature vector A that represents the website A using the content of the website A as input to the neural network.