1. A method performed by one or more server devices, the method comprising: obtaining, by the one or more server devices, a rank position map, the rank position map specifying, for a plurality of rank positions, an expected utility rate for a document presented at a particular one of the plurality of rank positions as a search result, the expected utility rate being derived from an aggregate quantity of selections of the document presented as a search result at the particular one of the plurality of rank positions; determining, by the one or more server devices, an expected utility rate, for a particular document, based on the obtained rank position map and based on a quantity of times that the particular document was presented as a search result at particular ones of the plurality of rank positions; determining, by the one or more server devices, an actual utility rate for the particular document based on an actual quantity of selections of the particular document and based on a total quantity of times that the particular document was presented as a search result; calculating, by the one or more server devices, a correction factor, for the particular document, based on the determined expected utility rate and the determined actual utility rate; determining, by the one or more server devices, a confidence level for the correction factor, the confidence level representing a measure of confidence associated with the correction factor; adjusting, by the one or more server devices, the correction factor based on the determined confidence level; selecting, by the one or more server devices and based on determining that the confidence level is less than an aggregation threshold, a set of documents, the particular document being included in the set of documents; calculating, by the one or more server devices, an aggregated correction factor for the set of documents; using, by the one or more server devices, the aggregated correction factor as the correction factor for the particular document; adjusting, by the one or more server devices, a score of the particular document based on the correction factor; and providing, for presentation, a ranked list of search results, one of the search results corresponding to the particular document, and a ranking of the search result corresponding to the particular document being based on the adjusted score.
1. A method performed by one or more server devices, the method comprising: obtaining, by the one or more server devices, a rank position map, the rank position map specifying, for a plurality of rank positions, an expected utility rate for a document presented at a particular one of the plurality of rank positions as a search result, the expected utility rate being derived from an aggregate quantity of selections of the document presented as a search result at the particular one of the plurality of rank positions; determining, by the one or more server devices, an expected utility rate, for a particular document, based on the obtained rank position map and based on a quantity of times that the particular document was presented as a search result at particular ones of the plurality of rank positions; determining, by the one or more server devices, an actual utility rate for the particular document based on an actual quantity of selections of the particular document and based on a total quantity of times that the particular document was presented as a search result; calculating, by the one or more server devices, a correction factor, for the particular document, based on the determined expected utility rate and the determined actual utility rate; determining, by the one or more server devices, a confidence level for the correction factor, the confidence level representing a measure of confidence associated with the correction factor; adjusting, by the one or more server devices, the correction factor based on the determined confidence level; selecting, by the one or more server devices and based on determining that the confidence level is less than an aggregation threshold, a set of documents, the particular document being included in the set of documents; calculating, by the one or more server devices, an aggregated correction factor for the set of documents; using, by the one or more server devices, the aggregated correction factor as the correction factor for the particular document; adjusting, by the one or more server devices, a score of the particular document based on the correction factor; and providing, for presentation, a ranked list of search results, one of the search results corresponding to the particular document, and a ranking of the search result corresponding to the particular document being based on the adjusted score. 8. The method of claim 1 , where the aggregated correction factor is based on an aggregated average expected utility rate for the set of documents and an aggregated average actual utility rate for the set of documents.