Transaction data resource matching method and system, and storage medium

Abstract

The application provides a transaction data resource matching method, system and storage medium, the method comprises the following steps: obtaining search information input by a current user and historical record information of the user; determining a target range of the search information based on the historical record information; performing information division on the search information based on the target range to obtain a division result, and performing value assignment on the division result to obtain an information value assignment result; performing matching in a transaction database based on the target range and the information value assignment result to obtain a plurality of matching results; performing similarity calculation on the matching results and the search information, and selecting a matching result with the largest similarity as a target matching result; wherein the transaction database comprises a plurality of preset transaction information pairs, and each preset transaction information pair comprises preset input information and transaction matching information. The application not only improves transaction efficiency, but also improves the accuracy of transaction matching.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of data processing, and particularly relates to a transaction data resource matching method and system and a storage medium. BACKGROUND

[0002] With the rapid development of automation technology, commodity transactions have become an indispensable part of life. For example, intelligent transaction terminals commonly used in public places, such as intelligent counters and intelligent transaction machine cabinets, can effectively reduce the labor consumption and cost of commodity transactions.

[0003] However, the current commodity transaction process often involves manual screening of suitable transaction objects, which requires screening a large amount of data, affects transaction efficiency, and the final selected result may not meet the requirements, and automatic matching of transactions cannot be achieved. SUMMARY

[0004] In view of the above-mentioned shortcomings of the prior art, the purpose of the present application is to provide a transaction data resource matching method, system and storage medium, which can solve the problem of low transaction efficiency in the prior art.

[0005] To achieve the above-mentioned purpose and other related purposes, the present application provides a transaction data resource matching method, comprising:

[0006] obtaining search information input by a current user and historical record information of the user;

[0007] determining a target range of the search information based on the historical record information;

[0008] dividing the search information based on the target range to obtain a division result, and assigning values according to the division result to obtain an information assignment result;

[0009] matching in a transaction database according to the target range and the information assignment result to obtain a plurality of matching results;

[0010] calculating the similarity between the matching results and the search information, and selecting a matching result with the largest similarity as a target matching result;

[0011] The transaction database comprises a plurality of preset transaction information pairs, each of which comprises preset input information and transaction matching information, and the preset input information and the transaction matching information correspond one-to-one.

[0012] In an embodiment of the present application, the determination of the target range of the search information based on the historical record information comprises:

[0013] According to the transaction condition of the historical record information, a transaction price of each historical record information is obtained;

[0014] Based on the transaction price, a potential transaction range of the user is determined, and the potential transaction range is taken as a target range of the search information.

[0015] In an embodiment of the present application, the search information is divided based on the target range to obtain a division result, and the division result is valued to obtain an information valuation result, comprising:

[0016] The search information is segmented according to a word type to obtain a plurality of search segments, and the division result comprises the plurality of search segments;

[0017] Each search segment in the division result is valued as a vector according to the target range to obtain a plurality of segment coordinate vectors;

[0018] The segment coordinate vectors corresponding to each search segment in the division result are accumulated to obtain the information valuation result.

[0019] In an embodiment of the present application, the preset input information in the preset transaction information pair is valued as a vector to obtain a preset valuation result, the information valuation result is matched in a transaction database according to the target range and the information valuation result to obtain a plurality of matching results, comprising:

[0020] The preset valuation result in each preset transaction information pair in the transaction database is compared with the information valuation result, and a difference value is calculated;

[0021] When the difference value is less than a first threshold value, the preset transaction information pair corresponding to the difference value is selected as a matching result, and a plurality of matching results are obtained.

[0022] In an embodiment of the present application, the matching result and the search information are calculated for similarity, and a matching result with the largest similarity is selected as a target matching result, comprising:

[0023] The first preset input information corresponding to the preset transaction information pair corresponding to the matching result is obtained;

[0024] The first similarity of each preset segment in each first preset input information and each search segment in the search information is calculated;

[0025] Each first similarity is accumulated according to a preset weight to obtain the second similarity corresponding to each matching result;

[0026] select the matching result with the largest second similarity as the target matching result.

[0027] In an embodiment of the present application, the preset input information and the vector assignment mode of the division result are the same, and both use three-dimensional vectors for vector assignment.

[0028] In an embodiment of the present application, the second similarity corresponding to each matching result is obtained by accumulating each first similarity according to a preset weight, including:

[0029] obtaining a first sorting sequence of the preset word segmentation in the first preset input information in the matching result and a second sorting sequence of the search word segmentation in the search information;

[0030] complementing the shorter one of the first sorting sequence and the second sorting sequence to obtain a sequence with the same length;

[0031] according to the difference degree of each preset word segmentation in the first sorting sequence and each search word segmentation in the second sorting sequence;

[0032] assigning the preset weight to each preset word segmentation based on the difference degree;

[0033] accumulating each first similarity according to the preset weight to obtain the second similarity.

[0034] In an embodiment of the present application, when the preset word segmentation and the search word segmentation completely correspond, the preset weight is a positive value; when the preset word segmentation and the search word segmentation have differences, the preset weight is a negative value.

[0035] The present application provides a transaction data resource matching system, characterized in that, comprising

[0036] an information acquisition module, configured to acquire search information input by a current user and historical record information of the user;

[0037] a range determination module, configured to determine a target range of the search information based on the historical record information;

[0038] an assignment module, configured to divide the search information based on the target range to obtain a division result, and perform assignment according to the division result to obtain an information assignment result;

[0039] a first matching module, configured to perform matching in a transaction database according to the target range and the information assignment result to obtain a plurality of matching results;

[0040] The second matching module is configured to perform similarity calculation on the matching result and the search information, and select a matching result with the largest similarity as a target matching result.

[0041] The transaction database comprises a plurality of preset transaction information pairs, each of which comprises preset input information and transaction matching information, and the preset input information corresponds to the transaction matching information one by one.

[0042] The application provides a storage medium, which stores a computer program, and the program is executed by a processor to implement the transaction data resource matching method.

[0043] As described above, the transaction data resource matching method, system and storage medium have the following beneficial effects:

[0044] After the user inputs the search information related to the transaction, the historical record information of the user is acquired to determine the target range of the current search information, complete the preliminary positioning of the transaction matching, and then the search information is divided and vector assigned based on the target range to obtain an information assignment result, so that the division and assignment of the search information are completed according to the target range, the accuracy of the assignment result is improved, and the information assignment result is matched in the transaction database to obtain a plurality of preliminary matching results, then the similarity calculation is performed on the matching result and the search information, and the matching result with the largest similarity is selected as the target matching result, so that the final matching of the transaction is completed, the search information is divided by using the information division and vector assignment mode in the whole matching process, and the accuracy of the final matching result is improved through multiple screening, which not only improves the transaction efficiency, but also improves the accuracy of the transaction matching. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 A flow chart showing the method of the application in an embodiment.

[0046] Figure 2 A structural schematic diagram showing the system of the application in an embodiment. DETAILED DESCRIPTION

[0047] The embodiments of the application are described below with reference to specific examples. Those skilled in the art can easily understand other advantages and effects of the application from the disclosure. The application can also be implemented or applied by using different specific embodiments, and the details in the specification can be modified or changed based on different views and applications without departing from the spirit of the application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0048] It is to be understood that the figures provided in the following embodiments only schematically illustrate the basic concepts of the present application, and only the components related to the present application are shown in the figures, rather than being drawn according to the number, shape and size of the components in actual implementation. The shapes, number and proportions of the components in actual implementation can be arbitrarily changed, and the layout pattern of the components can be more complex.

[0049] The transaction data resource matching method, system and storage medium of the present application, after the user inputs the search information related to the transaction, the target range of the current search information is determined by obtaining the historical record information of the user, the preliminary positioning of the transaction matching is completed, and then the search information is divided and the vector is valued based on the target range to obtain the information valuation result, so that the division and valuation of the search information are completed according to the target range, the accuracy of the valuation result is improved, and the information valuation result is matched in the transaction database to obtain several preliminary matching results, then the similarity between the matching result and the search information is calculated, and the matching result with the largest similarity is selected as the target matching result, so that the final matching of the transaction is completed. The entire matching process adopts the information splitting and vector valuation method to split the search information, and improves the accuracy of the final matching result through multiple screening, which not only improves the transaction efficiency, but also improves the accuracy of the transaction matching.

[0050] As shown in Figure 1 , in an embodiment, a transaction data resource matching method of the present application comprises the following steps:

[0051] S101, obtaining the search information input by the current user and the historical record information of the user.

[0052] S102, determining the target range of the search information based on the historical record information.

[0053] S103, dividing the search information based on the target range to obtain a division result, and valuing according to the division result to obtain an information valuation result.

[0054] S104, matching in the transaction database according to the target range and the information valuation result to obtain several matching results.

[0055] S105, calculating the similarity between the matching result and the search information, and selecting the matching result with the largest similarity as the target matching result.

[0056] The transaction database includes a plurality of preset transaction information pairs, each of which includes preset input information and transaction matching information, wherein the preset input information corresponds to search information, and the transaction matching information is a transaction matching result corresponding to the preset input information. The preset input information and the transaction matching information are in one-to-one correspondence.

[0057] In this embodiment, when the user inputs search information for transaction matching, the target range of the current search information is determined through the historical record information of the user to narrow the subsequent matching range and improve the accuracy of subsequent vector assignment. Then, the search information is split and vector assigned based on the target range to obtain an information assignment result, and the information assignment result is directly matched in the transaction database after the matching. After the matching, similarity calculation is performed between each matching result and the search information to select the most suitable target matching result for the user, improve the accuracy of transaction matching, and improve the probability of transaction success.

[0058] In some embodiments, the target range of the search information is determined based on the historical record information, including:

[0059] According to the transaction situation of the historical record information, the transaction price of each historical record information is obtained;

[0060] Based on the transaction price, the potential transaction range of the user is determined, and the potential transaction range is taken as the target range of the search information.

[0061] In this embodiment, when the user inputs search information for transaction matching, the transaction price of each transaction situation in the historical record information is obtained, and the transaction price interval with the largest proportion is taken as the potential transaction range of the user. The potential transaction range is taken as the target range, so as to complete the preliminary positioning of the search information.

[0062] It should be noted that in this embodiment, when the user is a new user without historical record information, or the historical record information of the user is missing, the price interval with the most transactions in the current transaction system is selected as the potential transaction range, so as to complete the determination of the target range and improve the accuracy of transaction matching.

[0063] In some other embodiments, the search information is divided based on the target range to obtain a division result, and the division result is assigned to obtain an information assignment result, including:

[0064] The search information is segmented according to the word type to obtain a plurality of search segments, and the division result includes a plurality of search segments;

[0065] vector value each of the search words in the division result according to the target range to obtain a plurality of word coordinate vectors;

[0066] accumulate the word coordinate vectors corresponding to each of the search words in the division result to obtain the information value result.

[0067] Specifically, after the user inputs the search information, the search information is segmented and split according to the type of the word, thereby obtaining a plurality of search words, and the division result includes a plurality of search words. Then, vector value each of the search words in the division result according to the target range to obtain a plurality of word coordinate vectors. Then, each of the word coordinate vectors is accumulated to obtain the information value result, that is, the information value result of the current search information after vector value.

[0068] It should be noted that in the process of splitting and vector value of the search, the higher the price corresponding to the target range, the higher the proportion of vector value. For example, the vector value proportion of the 0-100 yuan interval is lower than that of the 100-200 yuan interval.

[0069] For example, for the search word A, the word coordinate vector after vector value of the 0-100 yuan interval is (1.1, 2.3, 4.2), and the word coordinate vector after vector value of the 0-100 yuan interval is (2.2, 4.6, 8.4). Since the process of vector value of the search word is the content of the prior art, it will not be described here.

[0070] In some embodiments, the preset input information in the preset transaction information pair is vector valued to obtain a preset value result, and the matching in the transaction database according to the target range and the information value result to obtain a plurality of matching results includes:

[0071] Compare the size of the preset value result in each of the preset transaction information pairs in the transaction database with the information value result and calculate the difference value;

[0072] Select the preset transaction information pair corresponding to the difference value less than the first threshold value as the matching result to obtain a plurality of matching results.

[0073] In the embodiment, in order to match the search information with the preset transaction information pairs in the transaction database, the preset input information in the preset transaction information pairs in the transaction database is subjected to word segmentation to obtain a plurality of preset segmented words, each preset segmented word is subjected to vector assignment in a fixed manner and the assignment results of the preset segmented words are accumulated, so as to obtain the preset assignment results corresponding to each preset input information, facilitating subsequent matching in the transaction database according to the information assignment results of the search information.

[0074] For example, when performing the matching, first, the size of the information assignment result corresponding to the search information and the preset assignment result in each preset transaction information pair in the transaction database is judged and the difference between the two is calculated, then the preset transaction information pair corresponding to the difference less than the first threshold value is selected from the transaction database as the matching result, so as to complete the preliminary matching to obtain a plurality of matching results, facilitating subsequent further matching calculation.

[0075] In some other embodiments, the similarity calculation of the matching result and the search information, the selection of the matching result with the largest similarity as the target matching result, comprises:

[0076] The first preset input information corresponding to the preset transaction information pair corresponding to the matching result is obtained.

[0077] The first similarity of each preset segmented word in each first preset input information and each search segmented word in the search information is calculated.

[0078] Each first similarity is accumulated according to a preset weight to obtain the second similarity corresponding to each matching result.

[0079] The matching result with the largest second similarity is selected as the target matching result.

[0080] After the preliminary matching of the information assignment result and the preset assignment result in the preset transaction information pair in the transaction database is performed to obtain a plurality of matching results, since each matching result includes the first preset input information and the first transaction matching information, in order to further match, the similarity of the first preset input information in each matching result and the search information is calculated.

[0081] Specifically, first, each preset word segmentation of the first preset input information of each matching result and each search word segmentation of the search information are obtained, and then a first similarity between each search word segmentation and each preset word segmentation of the first preset input information of each matching result is calculated, each first similarity is accumulated according to a preset weight to obtain a second similarity corresponding to each matching result, so that the similarity between the first preset input information of each matching result and the search information can be obtained, and the matching result corresponding to the first preset input information with the maximum similarity is selected as a target matching result, and the first transaction matching information in the target matching result is selected as the final result of the search information, and the transaction matching process is completed.

[0082] In some embodiments, the preset input information and the vector assignment mode of the division result are the same, and both adopt three-dimensional vectors for vector assignment, which will not be repeated here.

[0083] In some other embodiments, the accumulating each first similarity according to a preset weight to obtain a second similarity corresponding to each matching result comprises:

[0084] obtaining a first sorting sequence of the preset word segmentation in the first preset input information of the matching result and a second sorting sequence of the search word segmentation in the search information;

[0085] complementing the shorter one of the first sorting sequence and the second sorting sequence to obtain a sequence with the same length;

[0086] according to the difference between each preset word segmentation in the first sorting sequence and each search word segmentation in the second sorting sequence;

[0087] assigning the preset weight to each preset word segmentation based on the difference;

[0088] accumulating each first similarity according to the preset weight to obtain the second similarity.

[0089] In the embodiment, the first arrangement sequence of the arrangement order of each preset word in the first preset input information in each matching result and the second arrangement sequence of the arrangement order of all search words in the search information are obtained, in order to compare the first arrangement sequence and the second arrangement sequence, the shorter one of the first arrangement sequence and the second arrangement sequence is padded to obtain a sequence with the same length, and then the difference degree of the position of each preset word in the first arrangement sequence and the position of each search word in the second arrangement sequence is calculated, so as to subsequently assign different preset weights to the plurality of preset words in each matching result according to the difference degree, and add up the first similarity of each preset word in the first preset input information according to the preset weight, thereby obtaining the second similarity, so as to subsequently further select the matching result corresponding to the maximum second similarity as the target matching result according to the size of the second similarity, thereby completing the transaction matching process and further improving the accuracy of the transaction matching process.

[0090] For example, the first arrangement sequence of each preset word in the first preset input information is BCCDA, and the second arrangement sequence of the search words in the search information is CCADA, the same difference degree is recorded as 1, and the different difference degree is recorded as 0.5, then the difference degree of each word in the first arrangement sequence and the second arrangement sequence is 0.5, 1, 0.5, 1, and 1, and subsequently a more accurate second similarity can be obtained according to the weight.

[0091] In some embodiments, when the preset word and the search word completely correspond, the preset weight is a positive value; when the preset word and the search word have a difference, the preset weight is a negative value. By setting the positive and negative preset weights, the difference of the first similarity weighted by the preset weight after accumulation is larger when there is a difference between the preset word and the search word, thereby improving the accuracy of the second similarity.

[0092] It should be noted that the protection scope of the transaction data resource matching method of the present application is not limited to the execution order of the steps listed in the embodiment, and any scheme realized by adding, replacing or replacing the steps of the prior art according to the principle of the present application is included in the protection scope of the present application.

[0093] As shown in Figure 2 , in an embodiment, the transaction data resource matching system of the present application comprises:

[0094] The information acquisition module 201 is configured to acquire the search information input by the current user and the historical record information of the user.

[0095] The range determination module 202 is configured to determine the target range of the search information based on the historical record information.

[0096] an assignment module 203, configured to divide the search information based on the target range to obtain a division result, and perform assignment according to the division result to obtain an information assignment result;

[0097] a first matching module 204, configured to perform matching in a transaction database according to the target range and the information assignment result to obtain a plurality of matching results;

[0098] a second matching module 205, configured to perform similarity calculation on the matching results and the search information, and select a matching result with the largest similarity as a target matching result;

[0099] The transaction database includes a plurality of preset transaction information pairs, each of which includes preset input information and transaction matching information, and the preset input information and the transaction matching information are in one-to-one correspondence.

[0100] Since each module of the transaction data resource matching system corresponds to each step of the transaction data resource matching method, no further description is given here.

[0101] It should be noted that the division of each module of the above device is only a logical functional division, and all or part of the modules can be integrated into one physical entity, or can be physically separated. These modules can all be implemented in the form of software called by a processing element; they can all be implemented in the form of hardware; or some modules can be implemented in the form of software called by a processing element, and some modules can be implemented in the form of hardware. For example, the x module can be a separately established processing element, or it can be integrated into a chip of the above device, in addition, it can also be stored in the form of program code in the memory of the above device, and the function of the above x module is called and executed by a processing element of the above device. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together, or they can be independently implemented. The processing element mentioned here can be an integrated circuit with signal processing capability. In the implementation process, each step of the above method or each of the above modules can be completed by integrated logic circuits or instructions in the form of software in the processing element.

[0102] For example, the above modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when a certain module above is implemented in the form of a processing element scheduling code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke code. For another example, the modules can be integrated together to implement a system-on-a-chip (SOC).

[0103] The storage medium of the present application stores a computer program, which is executed by a processor to implement the above method. The storage medium includes ROM, RAM, magnetic disc, U disk, memory card or optical disc and various media that can store program code.

[0104] It should be noted that the system of the present application can implement the method of the present application, but the implementation device of the method of the present application includes but is not limited to the structure of the system listed in the embodiment, and any modification and replacement of the prior art according to the principle of the present application is included in the protection scope of the present application.

[0105] In summary, the transaction data resource matching method, system and storage medium of the present application, after the user inputs the search information related to the transaction, the target range of the current search information is determined by obtaining the historical record information of the user, the preliminary positioning of the transaction matching is completed, then the search information is divided and the vector is valued based on the target range to obtain the information valuation result, so that the division and valuation of the search information are completed according to the target range, the accuracy of the valuation result is improved, and the information valuation result is matched in the transaction database to obtain several preliminary matching results, then the similarity between the matching result and the search information is calculated, the matching result with the largest similarity is selected as the target matching result, so that the final matching of the transaction is completed, the search information is split by the information splitting and vector valuation method in the whole matching process, and the accuracy of the final matching result is improved through multiple screening, which not only improves the transaction efficiency, but also improves the accuracy of the transaction matching. Therefore, the present application effectively overcomes the shortcomings of the prior art and has high industrial utilization value.

[0106] The above embodiments are only illustrative of the principles of the present application and its efficacy, and are not intended to limit the present application. Any modification or change made by any person skilled in the art without departing from the spirit and scope of the present application shall be covered by the claims of the present application.

Claims

1. A method for matching transaction data resources, characterized in that, include: Obtain the search information currently entered by the user, as well as the user's historical search history; The target range of the search information is determined based on the historical record information; The search information is divided based on the target range to obtain a division result, and a value is assigned according to the division result to obtain an information assignment result; Based on the target range and the information assignment result, a matching process is performed in the transaction database to obtain several matching results; The similarity between the matching result and the search information is calculated, and the matching result with the highest similarity is selected as the target matching result; The transaction database includes multiple preset transaction information pairs, each of which includes preset input information and transaction matching information, with the preset input information and the transaction matching information corresponding one-to-one. The step of dividing the search information based on the target range to obtain a division result includes: segmenting the search information according to word type to obtain a number of search words, and the division result includes multiple search words; The step of calculating the similarity between the matching result and the search information, and selecting the matching result with the highest similarity as the target matching result, includes: Obtain the first preset input information corresponding to the preset transaction information pair corresponding to the matching result; Calculate the first similarity between each preset word in each of the first preset input information and each search word in the search information; Each first similarity score is accumulated according to a preset weight to obtain a second similarity score corresponding to each matching result; The matching result with the highest second similarity is selected as the target matching result; The step of accumulating each of the first similarities according to a preset weight to obtain the second similarity corresponding to each of the matching results includes: Obtain the first sorting sequence of the preset words in the first preset input information in the matching result, and the second sorting sequence of the search words in the search information; The shorter of the first sorted sequence and the second sorted sequence is padded to obtain a sequence of the same length; Based on the difference between each preset word segment in the first sorting sequence and each search word segment in the second sorting sequence; The preset weight is assigned to each preset word segmentation based on the difference degree. The second similarity is obtained by accumulating each of the first similarities according to the preset weight; When the preset word segmentation and the search word segmentation correspond perfectly, the preset weight is positive; when the preset word segmentation and the search word segmentation differ, the preset weight is negative.

2. The transaction data resource matching method according to claim 1, characterized in that, Determining the target range of the search information based on the historical record information includes: obtaining the transaction price of each piece of historical record information according to the transaction details of the historical record information; determining the potential transaction range of the user based on the transaction price; and using the potential transaction range as the target range of the search information.

3. The transaction data resource matching method according to claim 2, characterized in that, The process of assigning values ​​based on the segmentation results to obtain information assignment results includes: assigning vector values ​​to each of the search words in the segmentation results according to the target range to obtain several word coordinate vectors; and accumulating the word coordinate vectors corresponding to each of the search words in the segmentation results to obtain the information assignment results.

4. The transaction data resource matching method according to claim 3, characterized in that, The preset input information in the preset transaction information pair is vector-assigned to obtain a preset assignment result. The matching in the transaction database according to the target range and the information assignment result to obtain several matching results includes: comparing the size of the preset assignment result and the information assignment result in each preset transaction information pair in the transaction database and calculating the difference; selecting the preset transaction information pair corresponding to the difference being less than a first threshold as the matching result to obtain several matching results.

5. The transaction data resource matching method according to claim 4, characterized in that, The preset input information and the partitioning result are assigned vector values ​​in the same way, both using three-dimensional vectors.

6. A transaction data resource matching system, characterized in that, Used to implement the transaction data resource matching method as described in any one of claims 1 to 5; The transaction data resource matching system includes: The information acquisition module is used to acquire the search information currently entered by the user, as well as the user's historical record information; A range determination module is used to determine the target range of the search information based on the historical record information. The assignment module is used to divide the search information based on the target range to obtain a division result, and to assign a value according to the division result to obtain an information assignment result; The first matching module is used to perform matching in the transaction database according to the target range and the information assignment result to obtain several matching results; The second matching module is used to calculate the similarity between the matching result and the search information, and select the matching result with the highest similarity as the target matching result; The transaction database includes multiple preset transaction information pairs. Each preset transaction information pair includes preset input information and transaction matching information, and the preset input information corresponds one-to-one with the transaction matching information.

7. A storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the transaction data resource matching method as described in any one of claims 1 to 5.

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