Search matching method, device and system
A matching method and matching device technology, applied in the field of data processing, can solve the problems such as failure to comprehensively consider commodity information, lack of accuracy, etc.
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[0069] Such as figure 1 Shown is one of the more preferred implementations of the search and matching method of the present invention, which includes the following steps:
[0070] S1: Obtain keywords submitted from the user terminal, where the keywords include product model and / or brand information;
[0071] Specifically, the embodiment of the present invention does not limit the manner of acquiring the keywords submitted from the user terminal.
[0072] S2: According to the commodity model and brand information obtained in S1, match the relevant quotation information and its initial weight value, and calculate the commodity model weight value and brand information weight value in each quotation;
[0073] Specifically, the above calculation process can be specifically as follows:
[0074] Call matching related quotations and their initial weight values from the existing collection of quotations;
[0075] The definition of the initial weight value can have many forms. In o...
Embodiment 2
[0114] The difference between the second embodiment and the first embodiment above is that the calculation of the commodity model weight value in the quotation includes:
[0115] Determine whether the keyword of the commodity model is consistent with the commodity model of the quotation, if yes, add the weight value of the preset commodity model to the weight value of the quotation, if not, subtract the weight value of the preset commodity model from the weight value of the quotation;
[0116] The calculation of the brand information weight value in the quotation includes:
[0117] Determine whether the keywords of the brand information are consistent with the brand information of the quotation, if yes, add the preset brand information weight value to the quotation weight value, if not, subtract the preset brand information weight value from the quotation weight value.
[0118] By matching and judging the product model keywords and brand information keywords with the quotation...
Embodiment 3
[0121] The difference between this embodiment and Embodiment 1 is that, in order to improve the accuracy of matching, the step of calculating the product model weight value also includes a first character string matching step, which includes:
[0122] Determine whether the keyword of the commodity model matches the preset string length with the commodity model of the quotation, if yes, add the preset commodity model weight to the quotation weight, if not, subtract Go to preset product model weight value.
[0123] The purpose of setting the first character string matching step is to avoid the situation that the corresponding quotation cannot be matched due to partial character strings not matching, improve the accuracy of search and matching, and solve the problem that there may be input errors when the user enters the product model. It matches the existing quotation, but the strings of the two are not necessarily identical.
[0124] Specifically, for example, if a product mod...
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