14. A computerized system comprising: one or more processors; and a non-transitory computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to: receive a search query from a user input via an interconnected computing network of the computing system; identify an ambiguous term in the search query by utilizing lists of categories from semi-structured data containing the ambiguous term; infer categories of the ambiguous term via extraction on the semi-structured data; for each of the categories inferred for the ambiguous term, compute an amount of network traffic, wherein computing includes calculating a number of webpage views representing each category and a dwell time for each of the webpage views; compute a total amount of network traffic to all of the webpages representing the categories inferred; determine a probability for each category of the ambiguous term based on the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity; identify a most probable category of the ambiguous term, wherein the most probable category has a highest probability compared to remaining categories of the ambiguous term; and return search results representing the most probable category of the ambiguous term to a user via a graphical user interface of the computing system based on the probability calculated for each category of the ambiguous term from the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity.
14. A computerized system comprising: one or more processors; and a non-transitory computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to: receive a search query from a user input via an interconnected computing network of the computing system; identify an ambiguous term in the search query by utilizing lists of categories from semi-structured data containing the ambiguous term; infer categories of the ambiguous term via extraction on the semi-structured data; for each of the categories inferred for the ambiguous term, compute an amount of network traffic, wherein computing includes calculating a number of webpage views representing each category and a dwell time for each of the webpage views; compute a total amount of network traffic to all of the webpages representing the categories inferred; determine a probability for each category of the ambiguous term based on the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity; identify a most probable category of the ambiguous term, wherein the most probable category has a highest probability compared to remaining categories of the ambiguous term; and return search results representing the most probable category of the ambiguous term to a user via a graphical user interface of the computing system based on the probability calculated for each category of the ambiguous term from the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity. 18. The system of claim 14 , wherein the non-transitory computer storage media further causes the one or more processors to: for each of the categories inferred, extract a main term from a document to ascertain a primary intent of the document.