科研成果详情

Building user model which can accurately reflect the user’s preferences is necessary and important in personalized service systems. For financial platforms, user’s focuses are regulated not only by his interests but also the environmental conditions. Considering the user’s investment state and operation behaviors, we build a decay function for user modeling in the Internet financial area. In order to meet the requirements of the timeliness and accuracy, this paper presents an improved ontology-based approach to build user model (IO-UM) considering decay function, which constructs the domain ontology by text mining, and update user model to capture recently focuses by ontology learning. Experiments were taken to illustrate the usefulness of the IO-UM to provide personalization services. To prove the influence of decay function, we took different values for comparison in the experiments.