1. A computer-implemented method, comprising: obtaining a plurality of document-query pairs associated with a website, each of the document-query pairs being associated with a respective query, a respective document from the website, and respective user feedback data for the respective document as a search result for the respective query; assigning each of the plurality of document-query pairs to one of a plurality of partitions according to an information retrieval score of a document for the respective query of the pair, each partition being defined by a distinct respective information retrieval score range; aggregating the respective user feedback data associated with the document-query pairs in two or more of the partitions, wherein at least one of the partitions represents aggregated user feedback data from a plurality of different document-query pairs; determining a first distribution of the aggregated user feedback data among the two or more partitions; calculating a skew of the first distribution; determining an indication of quality of the website based on at least the calculated skew of the first distribution; and providing the indication of quality of the website as an input for ranking documents from the website as search results.
1. A computer-implemented method, comprising: obtaining a plurality of document-query pairs associated with a website, each of the document-query pairs being associated with a respective query, a respective document from the website, and respective user feedback data for the respective document as a search result for the respective query; assigning each of the plurality of document-query pairs to one of a plurality of partitions according to an information retrieval score of a document for the respective query of the pair, each partition being defined by a distinct respective information retrieval score range; aggregating the respective user feedback data associated with the document-query pairs in two or more of the partitions, wherein at least one of the partitions represents aggregated user feedback data from a plurality of different document-query pairs; determining a first distribution of the aggregated user feedback data among the two or more partitions; calculating a skew of the first distribution; determining an indication of quality of the website based on at least the calculated skew of the first distribution; and providing the indication of quality of the website as an input for ranking documents from the website as search results. 7. The method of claim 1 , further comprising: assigning each of the plurality of document-query pairs to one of a plurality of second partitions according to a measure of popularity of the respective query of the document-query pair, each second partition being defined by a distinct respective measure of popularity range.