Multilevel classification retrieval method and system
A multi-level classification and classification table technology, applied in the field of database retrieval, can solve the problems of poor scalability, bloated structure, low retrieval efficiency, etc., and achieve good scalability and improve efficiency
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[0068] Example 1
[0069] In this embodiment, it is assumed that the data has the following classification methods: A, B, C, and D. Among them, A is the root node, the level ID is 1, and the classification node ID is 100; B is the child node of node A, the level ID is 2, and the classification node ID is 101; C is the child node of node B, and the level ID is 3. The classification node ID is 102; D is a child node of node C, the level ID is 4, and the classification node ID is 103.
[0070] Suppose a classification table with the following structure is established:
[0071] Classification level ID
[0072] After obtaining the classification node ID according to the classification table, suppose a data table with the following structure is established:
[0073] Field 1
[0074] The "_" in the category field in the above table represents the hierarchical relationship between nodes. Of course, other symbols can also be used to indicate. The present invention does not limit the sp...
Example Embodiment
[0080] Example 2
[0081] The difference from Example 1 is that the classification field in the data table stores multiple classification paths. Assume its structure is as shown in the following table:
[0082] Field 1
[0083] In the above table, the hierarchical relationship between the different classification levels in the classification field is separated by ";", of course, other symbols can also be used, as long as the different classifications can be distinguished. The structure of the generated classification association table is shown in the following table:
[0084] Field 1
[0085] Among them, the contents of "Field 1", "Field 2" and "Field 3" of the 3 records are the same.
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