12. A computer-implemented method for performing a search, the method comprising: receiving, at a device, a search query; identifying, by the device, documents relevant to the search query, where the identified documents include business listings; obtaining, by the device, data based on the received search query and the identified documents, where the obtained data includes: first data indicating whether the received search query exactly matches a name of a business in the business listings, and second data indicating whether a term in the search query matches a suffix portion of the name of the business, the suffix portion including less than an entirety of the name of the business; obtaining, by the device, predicted human relevance evaluations for the documents based on the obtained data, the predicted human relevance evaluations being obtained from a evaluation model based on the obtained data and based on information associated with human generated relevance evaluations, to predict a relevance evaluation that a human user would assign a particular document based on a corresponding search query, where the human generated relevance evaluations include rating scores, assigned by one or more human evaluators, indicative of a relevance of the identified documents to the received search query; ranking, by the device, the identified documents based on the obtained predicted human relevance evaluations; and presenting the ranked documents.
12. A computer-implemented method for performing a search, the method comprising: receiving, at a device, a search query; identifying, by the device, documents relevant to the search query, where the identified documents include business listings; obtaining, by the device, data based on the received search query and the identified documents, where the obtained data includes: first data indicating whether the received search query exactly matches a name of a business in the business listings, and second data indicating whether a term in the search query matches a suffix portion of the name of the business, the suffix portion including less than an entirety of the name of the business; obtaining, by the device, predicted human relevance evaluations for the documents based on the obtained data, the predicted human relevance evaluations being obtained from a evaluation model based on the obtained data and based on information associated with human generated relevance evaluations, to predict a relevance evaluation that a human user would assign a particular document based on a corresponding search query, where the human generated relevance evaluations include rating scores, assigned by one or more human evaluators, indicative of a relevance of the identified documents to the received search query; ranking, by the device, the identified documents based on the obtained predicted human relevance evaluations; and presenting the ranked documents. 20. The method of claim 12 , where the obtained data further includes: data obtained from historical logs of search activity.