1. A method of privacy policy management comprising: determining, by at least one hardware processor, a similarity between a first user and each of a plurality of other users, wherein the determining of the similarity between the first user and each of the plurality of other users includes considering the similarity between at least some of the user attributes of said users, and wherein the determining of the similarity between users includes considering the similarity between at least some of the privacy policy decisions of said users; determining, by the at least one hardware processor, on the basis of said similarity, which of the plurality of other users are nearest neighbours to the first user; and providing, by the at least one hardware processor, one or more recommended privacy policy settings to the first user on the basis of privacy policy settings of said determined nearest neighbours, wherein the providing of the one or more recommended privacy policy settings comprises determining, for a potential policy, whether more than a first predetermined proportion of said nearest neighbours have set said policy, wherein the determining of the similarity between a first user and one of said plurality of other users comprises applying one or more user attribute distance functions relating to a plurality of user attributes, wherein the one or more user attribute distance function is defined to convert the differences between the privacy policy decisions of said users into a respective numerical ranking, wherein the providing of the one or more recommended privacy policy settings further comprises determining, for a potential policy, whether fewer than a second predetermined proportion of said nearest neighbours have set said policy.