1. A computer-implemented method, comprising: identifying search result documents for a query submitted by a user; identifying one or more user attributes associated with the user; identifying, for a given document of the search result documents, a set of one or more of the user attributes that are each associated with the given document; identifying, for each of the user attributes of the set, a bias measure for the given document, wherein the bias measure for a user attribute of the set is based on a quantity of indicated interactions with the given document by a set of users associated with the user attribute compared to a second quantity of indicated interactions with the given document by a second set of users, wherein the second set of users include users non-associated with the user attribute, and wherein the indicated interactions with the given document include interactions with the given document independent of the query; determining an overall bias measure for the given document based on the bias measures for the user attributes of the set; and determining a ranking of the given document for the query based on the overall bias measure.
11. The computer-implemented method of claim 1 , wherein one or more of the user attributes are based on documents indicated as interacted with by the user, the documents including documents in addition to the search result documents for the query.