Abstract: Provided is a method for recommending information. The method includes acquiring a click through rate of recommended information by predicting a feature vector of the recommended information by a recommendation model, wherein model parameters corresponding to features that are the same as features of the feature vector and have frequencies less than or equal to a first threshold are removed from the recommendation model; and issuing the recommended information based on the click through rate.