Disclosed is a time-dependent reputation evaluation algorithm based on a scoring network, wherein the following steps are comprised: S1: respectively initialising a first behaviour weight factor, a second behaviour weight factor, a user reputation and an object quality; S2: determining whether a quality variation is less than a set value, if so, obtaining an object quality Qi; and if not, proceeding to step S3; S3: successively obtaining a reputation accumulated value, a quality accumulated value, and a temporary reputation value of a user; and S4: after a reputation value of the user and the object quality are updated according to the reputation accumulated value, the quality accumulated value and the temporary reputation value of the user, returning to step S2. In the present invention, the two behaviour weight factors and two component accumulation processes are designed from the point of view of time and degree, a specific transaction process can be reflected to a certain degree, malicious behaviour can be effectively restrained, and the processes by which each object quality and user reputation change are directly refined. Compared with other algorithms, the algorithm achieves a significantly improved effect and is valuable for practical applications.
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