The present application relates to the technical field of data transaction, in particular to a data transaction intelligent quality evaluation method and
system based on multi-dimensional cooperation. The quality evaluation method comprises the following steps: S1, a data transaction platform receives a data product to be traded submitted by a data seller, and matches a corresponding data buyer according to the information of the data product; S2, quality detection is performed on the data product to identify data with quality problems. By identifying the behavior information of the data buyer, the preferred quality demand of multiple different data buyers is obtained, and according to the behavior information of multiple different data buyers, mutual cross
verification is performed to obtain the basic demand (i.e. implicit quality demand) of the scene where the data product is located. The basic demand and the preferred quality demand jointly divide the scoring weight proportion of different data buyers in the scene where the data product is located, so as to realize the scene
quality score evaluation for the scene where the data product is located, and reduce the generation of value mismatch phenomenon.