The invention relates to the technical field of information, in particular to a method for recommending information. The method comprises the steps that the feature information, corresponding to an access request, of a current user is extracted when the access request is received, and whether the current user is a new user or not is determined according to the feature information; when the current user is the new user, and hot spots are recommended to the current user according to the historical access record of the current user and the click rate rank; when the current user is an old user, the pre-stored user information and item information are clustered to generate a user cluster; in the user cluster, a first recommending list based on item contents is generated, and a second recommending list based on user-item network collaborative filtering is generated; a mixed recommending list is generated according to the first recommending list and the second recommending list; the information is recommended to the current user according to the mixed recommending list. The real-time performance, accuracy and relevance of the recommending information formed through the information recommending method are improved, and information can be effectively recommended for the user.