1. A method comprising: obtaining a plurality of correlated information types related to a visited information type from stored records, the plurality of correlated information types providing one or more correlated information combinations; obtaining user information of a client from which the visited information type is received and user information of one or more other clients which have used the visited information type; computing a degree of correlation between a correlated information combination of the one or more correlated information combinations and the visited information type, wherein the computing comprises: determining a weight coefficient for the correlated information combination according to the user information of the client and the user information of the one or more other clients; computing the degree of correlation between the correlated information combination and the visited information type based on an occurrence property of the correlated information combination and the weight coefficient; and selecting from the one or more correlated information combinations a target correlated information combination which degree of correlation satisfies a requirement; and recommending the target correlated information combination to the client.