Operation data management method and device

Abstract

The invention relates to the field of operation data management methods, and discloses an operation data management method and device, the device comprises an information terminal, a repository module, a user terminal, a processing module, a search module and an expansion module, the information terminal can copy and store operation information required by a user on each APP, and according to the technical scheme of the invention, the operation information can be stored in the user terminal. According to the method, a user of a user side can obtain more accurate information content after searching, redundant information with the small click rate and the long recording time is uploaded to a cloud database to be stored, the file occupation amount of local information can be effectively reduced, the user can extract the information more quickly during searching, and the user experience is improved. In addition, when the user searches the information content, the information which is close to the time in the same information group as the searched content can be recommended to the user for reference of the user.

Description

Technical Field

[0001] The present invention relates to the field of business data management methods, and in particular to a business data management method and device. Background Art

[0002] With the rapid development of e-commerce, the sources of business data are becoming increasingly diversified, covering multiple shopping platforms, mobile applications and IoT terminal devices. In the course of business operations, merchants will use keys (data keys) to collect and understand information about related sales categories of different software, and organize and collect the current sales data to facilitate understanding of the information contained in the goods. The information that can be stored in the repository used to store information with existing data keys will gradually increase and become more complicated as information is continuously loaded, which will cause some useless information to be stored in the storage end and occupy storage space. As a result, when users search for information, the main search results will be interfered with by invalid information, increasing the difficulty of searching. Summary of the invention

[0003] The present invention provides a business data management method and device, which overcomes the deficiencies described in the background technology.

[0004] The technical solution adopted by the present invention to solve its technical problem is: A business data management method and device, comprising: Information terminal, used for collecting information; The storage library module is connected with the information terminal signal and stores data from the information terminal through manual loading; The user end obtains information stored in the repository module by searching; The processing module, the storage module is connected to the user end signal through the processing module; The search module is connected to the processing module signal. When searching, the user terminal informs the processing module of the search demand, and the processing module searches the information stored in the storage module in the air search module and feeds back the main search results to the user terminal; The expansion module is connected to the user end and the processing module respectively. When the user end obtains the main search result from the processing module, the expansion module obtains the secondary search result similar to the main search result according to the search requirements and the main search result, and feeds the secondary search result back to the user end through the processing module. The storage module also includes a cloud database and multiple information units. The number of cloud database information terminals is set to be plural, and each information unit corresponds to an information terminal, so that information in different information terminals can be stored through each information unit; and all information units are connected to the cloud database signal.

[0005] In a preferred technical solution, the search module includes a plurality of retrieval units, the number of the retrieval units is consistent with the number of the information units, and each retrieval unit is respectively connected to each corresponding information unit signal.

[0006] A business data management method is applied to the business data management device, wherein the information stored in the storage module is actively collected and stored by the user at the information terminal through the data key, and when storing the information, the information is stored in different information units according to video, picture and text, and the timestamp when the information is stored is recorded; The information unit counts the frequency of occurrence of the same terms in the different stored information, and groups the information with the same terms into information groups. The information unit sets the information with the latest timestamp in all information groups as the information node, and counts the number of accesses to all information. The information storage method of the repository module is rolling storage, and the rolling storage method is set with a time limit threshold. When the timestamp of the information node in the information group exceeds the set time limit threshold from the current time, the information unit uploads the information in the information group except the information node to the cloud database, and deletes the same information content stored in the information unit.

[0007] A preferred technical solution, when the storage module obtains search results according to the search requirements of the user end, each retrieval unit will search for information nodes with corresponding terms in the corresponding information unit according to the search terms proposed by the user end, and calculate the number of visits to the 10% information nodes before the timestamp in the information base module; The weight of each information node is calculated according to the weighted algorithm, and the information node with the highest weight is fed back to the user end. The weighted formula is as follows: ; in, is the weight of the corresponding information node; is the frequency of the term in the information group; The time period for rolling storage; is the time attenuation coefficient; The number of visits to the corresponding information node in the last 7 days; It is the median number of visits to the top 10% of information nodes in the information base module.

[0008] A preferred technical solution is to collect statistics on the actual click-through rate and average click-through rate of all information nodes in the repository module. The time decay coefficient is dynamically adjusted according to the click rate of the corresponding information node. The adjustment rule formula is as follows: ; in, The baseline value is 0.05; is the average click rate of all information nodes in the information library module; The actual click rate of the information node currently calculating the weight.

[0009] A preferred technical solution is that when the processing end feeds back corresponding search results according to the search requirements of the user end, two pieces of information in the information group corresponding to the search results in the cloud database are provided and fed back to the user end; The two pieces of information in the information group corresponding to the search result in the cloud database are two pieces of information whose timestamps are closest to the timestamp of the time node corresponding to the information group.

[0010] Compared with the prior art, this technical solution has the following advantages: The technical solution in the present invention can enable users on the user side to obtain more accurate information content after searching, and by uploading redundant information, information with a low click rate, and a long recording time to a cloud database for storage, the file occupancy of local information can be effectively reduced, allowing users to extract information faster when searching, and while users are searching for information content, information that is close in time to the same information group as the search content can be recommended to users for their reference. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0012] Figure 1 This is the overall logic diagram of the present invention. DETAILED DESCRIPTION

[0013] like Figure 1 As shown, the present invention proposes a business data management method and device, including Information terminal, used for collecting information; The storage library module is connected with the information terminal signal and stores data from the information terminal through manual loading; The user end obtains information stored in the repository module by searching; The processing module, the storage module is connected to the user end signal through the processing module; The search module is connected to the processing module signal. When searching, the user terminal informs the processing module of the search demand, and the processing module searches the information stored in the storage module in the air search module and feeds back the main search results to the user terminal; The expansion module is connected to the user end and the processing module respectively. When the user end obtains the main search result from the processing module, the expansion module obtains the secondary search result similar to the main search result according to the search requirements and the main search result, and feeds the secondary search result back to the user end through the processing module. It needs to be explained that the repository module in the present invention can be mounted on a key (data key), and the corresponding information copying program can be started by inserting the SUB into the computer, and the information on the corresponding software can be obtained by connecting with the API of the corresponding APP, so that the user can understand, copy and read the required information and materials.

[0014] The storage module also includes a cloud database and multiple information units. The number of cloud database information terminals is set to be plural, and each information unit corresponds to an information terminal, so that information in different information terminals can be stored through each information unit; and all information units are connected to the cloud database signal.

[0015] The search module includes a plurality of retrieval units, the number of the retrieval units is consistent with the number of the information units, and each retrieval unit is respectively connected to each corresponding information unit signal.

[0016] A business data management method is applied to the business data management device, wherein the information stored in the storage module is actively collected and stored by the user at the information terminal through the data key, and when storing the information, the information is stored in different information units according to video, picture and text, and the timestamp when the information is stored is recorded; The information unit counts the frequency of occurrence of the same terms in the different stored information, and groups the information with the same terms into information groups. The information unit sets the information with the latest timestamp in all information groups as the information node, and counts the number of accesses to all information. The information storage method of the repository module is rolling storage, and the rolling storage method is set with a time limit threshold. When the time stamp of the information node in the information group exceeds the set time limit threshold, the information unit uploads the information in the information group except the information node to the cloud database, and deletes the same information content stored in the information unit. Based on the above content, the general usage method of the business data management method in the present invention is: storing and recording new information, updating entries, resetting time differences, users initiating searches, recording the time of the user's first visit, obtaining information nodes based on entries, recording and increasing the number of information node visits, calculating information node weights, returning sorting results to check whether the information exceeds the time threshold. If the time threshold is exceeded, non-node data is uploaded to the cloud database. If it does not exceed the threshold, the information node access time is recorded.

[0017] A preferred technical solution, when the storage module obtains search results according to the search requirements of the user end, each retrieval unit will search for information nodes with corresponding terms in the corresponding information unit according to the search terms proposed by the user end, and calculate the number of visits to the 10% information nodes before the timestamp in the information base module; The weight of each information node is calculated according to the weighted algorithm, and the information node with the highest weight is fed back to the user end. The weighted formula is as follows: ; in, is the weight of the corresponding information node; is the frequency of the term in the information group; The time period for rolling storage; is the time attenuation coefficient; The number of visits to the corresponding information node in the last 7 days; It is the median number of visits to the top 10% of information nodes in the information base module.

[0018] It should be explained that in this formula, the word frequency factor is used The main reasons for + 1 are as follows: To avoid the zero value problem, if log2(F) is used directly, when the word frequency F = 0 (for example, new entries are not counted or data cleaning residues), the logarithm log_2(0) will tend to negative infinity, resulting in calculation errors or abnormal weights.

[0019] In order to more clearly understand the technical effect achieved by the technical solution, the parameters of a certain information node are set according to the above formula as follows: =10, =5 days, =12 times, = 50 times, the following results are obtained based on the data:

[0020] The characteristic of this technical solution is that logarithmic compression is used to avoid the monopoly of high-frequency terms. According to the above formula, when the frequency of a term appearing in an information group is 10 times, the weight is 3.32; When the term appears 100 times in the information group, the weight is 6.66; When the frequency of a term appearing in an information group is 1000 times, the weight is 9.97.

[0021] In order to make the information have a higher heat weight in reality, so that merchants can have a certain understanding of the popularity of the product, the above formula It is the coefficient value obtained by judging and calculating according to the click rate of the information node in the information database, and The purpose of setting the median number of visits to the top 10% of information nodes is to balance the impact of fluctuations in computing resources and individual information hotspots in the repository module. By covering 10% of partial information, users can find the information they want in the search based on the information nodes with more prominent weights at the moment, thereby improving the accuracy of information search.

[0022] The business data management method of the present invention needs to collect statistics on the actual click-through rate and average click-through rate of all information nodes in the storage module. The time decay coefficient is dynamically adjusted according to the click rate of the corresponding information node. The adjustment rule formula is as follows: ; in, The baseline value is 0.05; is the average click rate of all information nodes in the information library module; The actual click rate of the information node currently calculating the weight; The above formula can be used to calculate and obtain the high-quality content and low-quality content in the information library module, because the actual click-through rate of high-quality content is often higher than the actual click-through rate of low-quality content. For example, when high-quality content information is 2%, When it is 3%, The attenuation coefficient is 0.03. is 2%, When it is 0.5%, The attenuation coefficient is 0.08. According to the weight calculation formula, the higher the attenuation coefficient, the faster the attenuation speed of the information content, and the faster the weight result decreases. The lower the attenuation coefficient, the slower the information decays, and the weight result decays more slowly. The weight retention time is added. It can be seen that when When the 3% high-quality content is searched by the user, its weight coefficient can be retained longer, so that the user can retrieve more accurate content later.

[0023] Furthermore, when the processing end feeds back the corresponding search results according to the search requirements of the user end, two pieces of information in the information group corresponding to the search results in the cloud database are provided and fed back to the user end; The two pieces of information in the information group corresponding to the search result in the cloud database are two pieces of information whose timestamps are closest to the timestamp of the time node corresponding to the information group.

[0024] The above description is only a preferred embodiment of the present invention, and therefore cannot be used to limit the scope of the present invention. That is, equivalent changes and modifications made according to the patent scope of the present invention and the contents of the specification should still fall within the scope of the present invention.

Claims

1. A business data management device, characterized in that: include Information terminal, used for collecting information; The storage library module is connected with the information terminal signal and stores data from the information terminal through manual loading; The user end obtains information stored in the repository module by searching; The processing module, the storage module is connected to the user end signal through the processing module; The search module is connected to the processing module signal. When searching, the user terminal informs the processing module of the search demand, and the processing module searches the information stored in the storage module in the air search module and feeds back the main search results to the user terminal; The expansion module is connected to the user end and the processing module respectively. When the user end obtains the main search result from the processing module, the expansion module obtains the secondary search result similar to the main search result according to the search requirements and the main search result, and feeds the secondary search result back to the user end through the processing module. The storage library module also includes a cloud database and a plurality of information units. The cloud database information terminals are provided in a plurality, and each information unit corresponds to an information terminal, so that information in different information terminals can be stored through each information unit; and all information units are connected to the cloud database signal; The search module includes a plurality of retrieval units, the number of which is consistent with the number of information units, and each retrieval unit is respectively connected to each corresponding information unit signal.

2. A business data management method, applied to a business data management device according to claim 1, characterized in that: The information stored in the repository module is actively collected and stored by the user at the information terminal through the data key. When storing information, the information is stored in different information units according to video, picture and text, and the timestamp when the information is stored is recorded; The information unit counts the frequency of occurrence of the same terms in the different stored information, and groups the information with the same terms into information groups. The information unit sets the information with the latest timestamp in all information groups as the information node, and counts the number of accesses to all information. The information storage method of the repository module is rolling storage, and the rolling storage method is set with a time limit threshold. When the timestamp of the information node in the information group exceeds the set time limit threshold from the current time, the information unit uploads the information in the information group except the information node to the cloud database, and deletes the same information content stored in the information unit.

3. A business data management method according to claim 2, characterized in that: When the storage module obtains search results according to the search requirements of the user end, each retrieval unit searches for information nodes with corresponding terms in the corresponding information unit according to the search terms proposed by the user end, and calculates the number of visits to the 10% of information nodes before the timestamp in the information base module; The weight of each information node is calculated according to the weighted algorithm, and the information node with the highest weight is fed back to the user end. The weighted algorithm formula is as follows: ； in, is the weight of the corresponding information node; is the frequency of the term in the information group; The time period for rolling storage; is the time attenuation coefficient; The number of visits to the corresponding information node in the last 7 days; It is the median number of visits to the top 10% of information nodes in the information base module.

4. A business data management method according to claim 3, characterized in that: Statistics are collected on the actual click rate and average click rate of all information nodes in the repository module. The time decay coefficient is dynamically adjusted according to the click rate of the corresponding information node. The adjustment rule formula is as follows: ； in, The baseline value is 0.05; is the average click rate of all information nodes in the information library module; The actual click rate of the information node currently calculating the weight.

5. A business data management method according to claim 4, characterized in that: When the processing end feeds back the corresponding search results according to the search requirements of the user end, it provides two pieces of information in the information group corresponding to the search results in the cloud database and feeds them back to the user end; The two pieces of information in the information group corresponding to the search result in the cloud database are two pieces of information whose timestamps are closest to the timestamp of the time node corresponding to the information group.

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