Data matching method and device, computer-readable storage medium, electronic device
A data, to-be-matched technology, applied in the field of big data, can solve the problems of low mining efficiency, inability to serve publicity and recommendation, and less targeted
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Embodiment 1
[0053] see figure 1 , figure 1 It is a schematic flowchart of a data matching method provided by an embodiment of the present invention. As shown in the figure, the method includes steps S110-130:
[0054] S110. Obtain enterprise information of the enterprise to be matched; wherein the enterprise information includes enterprise characteristic data of the enterprise to be matched under a preset dimension;
[0055] S120. For each preset dimension, determine the partition set to which the enterprise characteristic data of the enterprise to be matched under the preset dimension belongs, count the number of enterprises to be matched in each partition set, and determine the preset dimension based on the counted number Corresponding matching conditions; wherein, the preset dimension includes at least two partition sets, and the partition sets in the preset dimension do not intersect;
[0056] S130: Search for an enterprise that satisfies at least one of the determined matching cond...
Embodiment 2
[0059] see figure 2 , figure 2 It is a schematic flowchart of another data matching method provided by an embodiment of the present invention. As shown in the figure, the method includes steps S110-S150:
[0060] S110. Obtain enterprise information of the enterprise to be matched.
[0061] The enterprise information includes enterprise characteristic data of the enterprise to be matched under the preset dimension. The preset dimension can be determined according to the list of enterprises uploaded by the user, or set by the background staff based on experience, or obtained through the deep learning model after training through matching big data. The preset dimensions may include, but are not limited to, the following dimensions: enterprise background dimension, risk information dimension, enterprise development dimension, business information dimension, and intellectual property dimension. Of course, it can also be divided into more detailed dimensions, such as registered...
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