Gray forecasting model-based recommending method and system

The invention discloses a gray forecasting model-based recommending method and a gray forecasting model-based recommending system, and relates to the field of recommending systems. The method comprises the following steps of: establishing an inter-project similarity matrix; selecting a predetermined number of projects having high similarity with unrated projects of a target user from the rated projects of the target user according to the similarity matrix; ordering the scores of the selected projects according to the order of the similarity, from high to low, of the unrated projects to obtain a forecasting sequence; establishing a gray forecasting model according to the forecasting sequence; and forecasting the scores, forecast by the target user, of the unrated projects according to the gray forecasting model, and recommending the corresponding unrated project to the target user according to the forecasting score. By using the recommending method and the recommending system, very high recommending precision can still be ensured when user rating data is extremely sparse and high correlation exists among the data, and the recommending method and the recommending system have a very wide application prospect.