The invention discloses an information resource automatic recommendation method for university student groups. The method comprises the steps of obtaining user data and data needed to be recommended;calculating a user evaluation matrix-based neighbor set by adopting a user similarity model; calculating a social network information-based neighbor set by adopting a social network information-basedsimilarity model; according to the two neighbor sets, calculating out scores of prediction projects, and mixing two results; and screening out a TOP-N project with a highest score, and obtaining a recommendation result. A social network of users is fused in a conventional collaborative filtering algorithm, so that the information sharing and communication needs of university students are met. Themethod can provide the more suitable recommendation result for the university student-oriented vertical field.