The invention discloses a user
score-based project recommendation method. The method comprises the following steps: in allusion to the dynamism and diversity of interests of a user in a recommendation
system, effectively fusing a
maintenance dose function on the basis of the sores of user projects and completing the global learning of potential interests of the user by adopting a probability
topic model according to the global influences, on the interests of the user, of the time factors; and in allusion to the sensitivity, for potential
scenario change, of the learning process, user
personalization-oriented secondary updating learning is carried out on the interests on the basis of a
concept drift problem according to the local influences, on the potential interests of the user, of the time factors; and finally calculating the degrees of supporting the projects by the user through analyzing the interests of the user, and carrying out sorting to generate a project recommendation
list. According to the method, the influences, caused by the recommendation performance, of the
concept drift problem can be effectively avoided and the whole
recommendation quality of the
system can be improved under the condition of sufficiently mining the potential interests of the user.