1. A method implemented by a computer for obtaining information recommendation, the method comprising: receiving data from a client indicating a visited information type; obtaining a plurality of correlated information types related to the visited information type from stored records, the plurality of correlated information types providing one or more correlated information combinations each including at least two correlated information types; for each of the one or more correlated information combinations, computing a degree of correlation between the correlated information combination and the visited information type; and selecting from the one or more correlated information combinations a target correlated information combination, and recommending the target correlated information combination to the client, wherein selecting the target correlated information combination comprises: ranking the one or more correlated information combinations according to the degree of correlation of each of the one or more correlated information combinations, comparing the degree of correlation of each of the one or more correlated information combinations with a set value, and selecting a correlated information combination which degree of correlation is greater than the set value and is ranked the highest among the one or more correlated information combinations to be the target correlated information combination.