1. One or more computer-readable media storing computer-useable instructions that, when used by one or more computing devices, causes the one or more computing devices to perform a method of generating a machine-learned model for ranking search results using click-based data comprising: referencing data from one or more user queries, wherein the data is referenced from one or more of a general search engine and a vertical search engine; generating a training set of data, wherein the training set comprises one or more search results extracted from the data; associating one or more click-based judgments with each of the one or more search results in the training set; based on associating one or more click-based judgments with each of the one or more search results in the training set, determining one or more identifiable features from the training set; and based on determining one or more identifiable features, generating a rule set for ranking subsequent search results of one or more user queries.