CN112182052A - Parameter display method and device, electronic equipment and readable storage medium - Google Patents
Parameter display method and device, electronic equipment and readable storage medium Download PDFInfo
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Abstract
The application provides a parameter display method, a parameter display device, an electronic device and a readable storage medium, wherein the method comprises the following steps: receiving an operation command of a user for a first product; according to the operation command, screening a second product with the similarity higher than a preset condition with the first product, and acquiring a plurality of historical parameter information of the second product; sequencing the plurality of historical parameter information in a reverse time sequence to obtain a first historical parameter information sequence; sorting the sizes of the plurality of historical parameter information parameters to obtain a second historical parameter information sequence; and determining the parameter information of the second product based on the first historical parameter information sequence and the second historical parameter information sequence, and displaying the parameter information of the second product. The method and the device can improve the efficiency of displaying the parameter information.
Description
Technical Field
The present application relates to the field of data processing, and more particularly, to a parameter presentation method, apparatus, electronic device, and readable storage medium.
Background
The user needs to use the parameter information of the related product in the process of project design, but at present, along with the variety of the product and the more and more historical parameter information of the product, the parameter information of the related product needs to be screened and displayed in a large amount of information, so that the display efficiency of the parameter information is low.
Disclosure of Invention
The embodiment of the application provides a parameter display method and device, electronic equipment and a readable storage medium, so as to solve the problem of low parameter information display efficiency.
In a first aspect, an embodiment of the present application provides a parameter display method, including:
receiving an operation command of a user for a first product;
according to the operation command, screening a second product with the similarity higher than a preset condition with the first product, and acquiring a plurality of historical parameter information of the second product;
sequencing the plurality of historical parameter information in a reverse time sequence to obtain a first historical parameter information sequence;
sorting the sizes of the plurality of historical parameter information parameters to obtain a second historical parameter information sequence;
and determining the parameter information of the second product based on the first historical parameter information sequence and the second historical parameter information sequence, and displaying the parameter information of the second product.
In a second aspect, an embodiment of the present application provides a parameter display apparatus, including:
the receiving module is used for receiving an operation command of a user aiming at the first product;
the screening module is used for screening a second product with the similarity higher than a preset condition with the first product according to the operation command and acquiring a plurality of historical parameter information of the second product;
the first sequencing module is used for sequencing the plurality of historical parameter information in a reverse time sequence to obtain a first historical parameter information sequence;
the second sorting module is used for sorting the sizes of the plurality of historical parameter information parameters to obtain a second historical parameter information sequence;
and the display module is used for determining the parameter information of the second product based on the first historical parameter information sequence and the second historical parameter information sequence and displaying the parameter information of the second product.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or an instruction stored in the memory and executed on the processor, where the program or the instruction, when executed by the processor, implements the steps of the parameter display method disclosed in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and the program or the instruction, when executed by a processor, implements the steps of the parameter display method disclosed in the first aspect of the embodiment of the present application.
In this way, in this embodiment, according to the operation command, a second product whose similarity to the first product is higher than a preset condition is screened, the parameter information of the second product is determined according to a plurality of historical parameter information of the second product, and the parameter information of the second product is displayed, so that the second product can be quickly determined and the parameter information of the second product can be displayed, thereby achieving the technical effect of improving the efficiency of displaying the parameter information of the product.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a parameter display method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating another parameter display method according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram illustrating another parameter displaying method according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of a parameter display apparatus according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of another parameter display device provided in the embodiments of the present application;
FIG. 6 is a schematic structural diagram of another parameter display device provided in the embodiments of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart of a parameter display method according to an embodiment of the present application, as shown in fig. 1, including:
The operation command may be a preset operation command for triggering the product parameter display, for example: the input command of the first product, the voice command of the voice lock of the first product, the double-click command of the double-click of the first product, etc. are not limited in this embodiment.
And 102, screening a second product with the similarity higher than a preset condition with the first product according to the operation command, and acquiring a plurality of historical parameter information of the second product.
The step 102 of filtering according to the operation command may be understood as triggering the step 102 of filtering by the operation command. In addition, the similarity with the first product may be obtained in advance, or calculated in real time when step 102 is performed. The similarity can be understood as the similarity of the type of the product, for example: the first products all have coding information, and codes can be preset to be matched from subjects 'class' to subjects 'sub-section' according to the generation rule of the codes (class-item-subject-section-sub-category-sub-item-sub-category), and the closer the matched subjects are to the subjects 'sub-section', the higher the similarity of the two products is.
The similarity may be a level-by-level matching degree of the product coding information, for example: the encoded information of the products is generated according to class-item-section-sub-class-sub-item-sub-section, and through the step-by-step comparison, the higher the level that the encoded information of the two products can be matched with, the closer the similarity is, for example: the code of the product A and the code of the product B can be matched with a subject section, and the code of the product A and the code of the product C can be matched with a subject sub-item, namely, the similarity between the product A and the product C is greater than the similarity between the product A and the product B.
The historical parameter information may be historical purchase price of the product, for example: the last historical purchase price, the average historical purchase price, the highest historical purchase price, the lowest historical purchase price, and the like of the second product.
And 103, sequencing the plurality of historical parameter information in a reverse time sequence to obtain a first historical parameter information sequence.
The first historical parameter information sequence may be obtained by sorting the historical purchase price data of the second product according to a reverse time sequence, for example: and taking the first 50 pieces, the first 100 pieces and the like of the historical purchasing price data of the second product which are sorted according to the time reverse order as a first historical parameter information sequence.
And 104, sequencing the plurality of historical parameter information parameters to obtain a second historical parameter information sequence.
Wherein, the second historical parameter information sequence may be a sort of the historical purchase price data of the second product by size, for example: and sorting the historical purchase price data of the second product according to size to serve as a second historical parameter information sequence.
And 105, determining the parameter information of the second product based on the first historical parameter information sequence and the second historical parameter information sequence, and displaying the parameter information of the second product.
The above-mentioned manner of determining the parameter information of the second product may be predetermined, for example: setting one or more parameter information in the first historical parameter information sequence and the second historical parameter information sequence in advance as parameter information of the second product to be displayed, for example, when the first 100 pieces of historical purchase price data of the second product which are sorted according to a reverse time sequence are taken as the first historical parameter information sequence, and the historical purchase price data of the second product are sorted according to size as the second historical parameter information sequence, the 25-quantile price, the median price, the 75-quantile price, the average price of the first historical parameter information sequence, the highest price and the lowest price of the second historical parameter information sequence can be set in advance as the parameter information of the second product, and the median price, the average price or other prices in the first historical parameter information sequence can also be set in advance as the parameter information of the second product; or presetting the mean value of all data in the first historical parameter information sequence or the second historical parameter information sequence as the parameter information display of the second product, and the like.
In addition, the parameter information of the second product shown above may be one or multiple, and this embodiment does not limit this.
In this embodiment, according to the operation command, a second product whose similarity to the first product is higher than a preset condition is screened, the parameter information of the second product is determined according to a plurality of historical parameter information of the second product, and the parameter information of the second product is displayed, so that the second product can be quickly determined and the parameter information of the second product can be displayed, thereby achieving the technical effect of improving the efficiency of displaying the parameter information of the product.
In addition, the displayed parameter information can be used as a reference for the parameter information of the first product, so that the condition that no information can be used for reference when the parameter information of the first product is needed can be avoided, and the accuracy of pre-estimation of the first product according to the reference information is improved.
Optionally, as shown in fig. 2, before step 102, the method further includes the following steps:
and 106, acquiring coding information of a plurality of products, wherein the plurality of products comprise the first product and the second product.
The encoding information may be obtained in advance, for example: the codes of the products are eight bits, each bit corresponds to a subject, the product codes are generated according to the rule of 'category-item-section-subclass-sub-item-sub-category-sub-section', the two products are matched from the code number of the subject 'category' (first bit) to the code number of the 'sub-section' (eighth bit), the higher the matched subject level is, the greater the similarity is, and the more similar the product price is.
And 107, comparing the coded information of the products, and calculating the similarity between the products and the first product by using a first formula according to the comparison result.
The above alignment may start from "class" of subjects to end with subjects with different code numbers, for example: the code of the product a is 26065658, the code of the product b is 26065539, and when the product a and the product b are compared, the comparison result of the product a and the product b is obtained from the coded subject class (the first digit) to the subject sub-item (the sixth digit).
Wherein, the first formula obtains a specific similarity value, for example: the similarity value between the products, the first formula, may be calculated according to the comparison result between the products.
In this embodiment, the specific similarity value is obtained by comparing the products according to the code information of the products, and the similar products of the products can be determined.
Optionally, in step 107, the first formula includes:
wherein a and b respectively represent a product a and a product b, sim (a, b) represents the similarity between the product a and the product b, i represents the subject i of the product coding information, ra,iAnd rb,iThe code number of the product a and the code number of the product b on the subject i are respectively shown, and k shows a first subject with different code numbers between the product a and the product b.
For example: to find the product with the highest similarity of product a, the code of product a is 26065658, the code of product b is 26065539, the code of product c is 26078566, the code of product d is 26065096, the code of product b and product d and the code of product a can reach the fifth bit (subclass), and the code of product c and the code of product a can only match the third bit (order), then the similarities of product b and product d with product a respectively are calculated, the first formula is substituted, k is the sixth bit (subitem), sim (a, b) ═ 1, and sim (a, d) ═ 1, namely, product b and product d are both similar products of product a.
Here, the product a represents the first product, the product b belongs to the third product, and the similarity between each product in the third product and the first product can be calculated by using the first formula.
In this embodiment, the calculation of the first formula can obtain a specific similarity value between the similar product of the product and the product.
Optionally, step 102 may include:
screening a third product which has higher similarity with the first product than other products, wherein the third product comprises M products which have higher similarity with the first product than other products, M is a positive integer, and the other products are products except the M products in the plurality of products;
and screening the second product with the highest similarity score with the first product in the third products.
Wherein the parameter M represents the number of the third products, for example: if M is preset to be 5, 5 products are screened out, and the similarity between the 5 products and the first product is higher than the similarity between other products except the 5 products and the first product.
Wherein, the similarity score can further screen the selected third product, for example: and ranking the third products through the similarity scores, wherein the product with the highest similarity score can be used as the second product.
In this embodiment, a second product can be quickly determined by screening a third product having a higher similarity to the first product than the other products, and then screening the second product having the highest similarity score to the first product among the third products.
Optionally, the screening the second product with the highest similarity score with the first product in the third products includes:
calculating a similarity score for the third product according to a second formula;
and sequencing the similarity scores of the third products according to the height, and determining a second product with the highest similarity score in the third products.
Wherein, the second formula can calculate the similarity score between products, for example: and after the similarity between each product in the third products and the first product is obtained according to the first formula, screening to obtain a nearest neighbor collection of each product, and calculating the similarity score of each product in the third products by using the second formula according to the nearest neighbor collection.
In the embodiment, the similarity score of the third product is calculated according to a second formula, the second product with the highest similarity score in the third product is determined, and the nearest neighbor set of the similar products is used as a screening basis, so that the accuracy of displaying the parameter information can be improved.
Optionally, the second formula includes:
wherein b and v represent respectively product b and product v, product b belonging to said third product, Pb,CRepresenting the similarity score of product b, C representing the set of nearest neighbors of product b, RvRepresents the score value of product v, and sim (b, v) represents the similarity of product b to product v.
The nearest neighbor set of the product b may be a set of a plurality of products screened according to product numbers and having the highest similarity with the product b, for example: screening out a third product with the highest similarity to the first product a according to the method, wherein the third product comprises a product b, a product C and a product d, and respectively obtaining nearest neighbor collections C of the product b, the product C and the product db、CcAnd CdThen, according to the second formula, respectively calculating:
the score value of the product may be obtained in advance, for example: nearest neighbor set C of product bbIncluding product e, product f and product g, calculating similarity score P of product bb,CThen, the score value R of the product e is obtainedeProduct f score value RfAnd the score value R of product ggThe second formula is substituted into the second formula for calculation, and the second formula can perform weighted average on the score value of each product in the nearest neighbor set.
And calculating the similarity score of each product in the third products by the second formula to obtain a second product with the highest similarity score in the third products.
In the embodiment, the second product with the highest similarity score is selected from the products with close similarity, and the nearest neighbor set of the similar products is used as the screening basis, so that the accuracy of the parameter information can be improved.
Referring to fig. 3, fig. 3 is a schematic flowchart of a parameter display method provided in an embodiment of the present application, applied to a project management system, as shown in fig. 3, including the following steps:
and step 301, inputting a target product.
The target product can be input by a user, and the user confirms the target product.
And 302, acquiring a product code of the target product, and screening the product according to the product code.
After acquiring the corresponding product input by the user, transmitting the corresponding province and city information and the coding information of the product to a screening link for product screening.
The product screening process specifically comprises the following two steps:
and step 3021, screening a plurality of products with the highest similarity among the target products.
According to the generation rule of the codes (class-item-section-subclass-sub-item-sub-section), firstly matching the codes one by one according to the principle of similar price of similar articles, and if products with the same code number exist in the same subject, then matching the codes in the previous stage. And obtaining a plurality of products with the highest matching grade with the target product through step-by-step comparison, wherein the plurality of products are the products with the highest similarity with the target product. And calculating the product similarity according to the following formula:
wherein a and b respectively represent a product a and a product b, sim (a, b) represents the similarity between the product a and the product b, i represents the subject i of the product coding information, ra,iAnd rb,iRespectively representing the code number of the product a and the code number of the product b on the subject i, and k represents a first subject with different code numbers of the product a and the product b in the comparison result.
And step 3022, calculating similarity scores of the plurality of products, and screening the product with the highest similarity score among the plurality of products.
And calculating the similarity grade of the products according to the following formula for obtaining a plurality of products with the highest matching grade with the target product:
wherein a and b represent product a and product b, P respectivelya,CRepresenting the similarity score of product a, C representing the set of similar products of product a, RbRepresents the score value of product b, and sim (a, b) represents the similarity of product a and product b.
And step 303, processing the data of the screened products after the products are screened.
Wherein, the data processing comprises the following steps:
step 3031, historical purchasing data of products is obtained.
3032, arranging the historical purchasing data in a reverse order according to the time sequence, taking the first 100 to calculate the average value, and simultaneously calculating the 25-quantile price, the median price and the 75-quantile price.
And 3033, sorting the historical purchasing data according to unit prices according to the height, and obtaining a maximum value and a minimum value.
And step 304, after the data processing is finished, displaying the recommended price of the target product in the project management system.
Wherein the recommended price is selected from reference prices of products, such as: 25 quantile prices, median prices, 75 quantile prices, average prices, maximum prices, and minimum prices.
In the embodiment, according to the input products, the related historical prices of the products of the same type are selected as the reference prices to be displayed in the project management system, so that the precision of project budget and the actual cost can be reduced, and the precision of the project budget is improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a parameter display apparatus according to an embodiment of the present application, and as shown in fig. 4, the apparatus 400 includes:
a receiving module 401, configured to receive an operation command of a user for a first product;
a screening module 402, configured to screen, according to the operation command, a second product with a similarity higher than a preset condition with respect to the first product, and obtain multiple pieces of historical parameter information of the second product;
a first sorting module 403, configured to sort the plurality of historical parameter information in a reverse order of time to obtain a first historical parameter information sequence;
a second sorting module 404, configured to sort sizes of the plurality of historical parameter information parameters to obtain a second historical parameter information sequence;
a display module 405, configured to determine the parameter information of the first product based on the first historical parameter information sequence and the second historical parameter information sequence, and display the parameter information of the first product.
Optionally, as shown in fig. 5, the apparatus 400 further includes:
an obtaining module 406, configured to obtain encoded information of a plurality of products, wherein the plurality of products includes the first product and includes the second product;
a comparison module 407, configured to compare the encoded information of the multiple products, and calculate, according to a comparison result, a similarity between the multiple products and the first product using a first formula.
Optionally, the first formula includes:
wherein a and b respectively represent a product a and a product b, sim (a, b) represents the similarity between the product a and the product b, i represents the subject i of the product coding information, ra,iAnd rb,iRespectively representing the code number of the product a and the code number of the product b on the subject i, and k represents a first subject with different code numbers of the product a and the product b in the comparison result.
Optionally, the screening module 402 may be specifically configured to:
screening a third product which has higher similarity with the first product than other products, wherein the third product comprises M products which have higher similarity with the first product than other products, M is a positive integer, and the other products are products except the M products in the plurality of products;
and screening the second product with the highest similarity score with the first product in the third products.
Optionally, the screening the second product with the highest similarity score with the first product in the third products includes:
calculating a similarity score for the third product according to a second formula;
and sequencing the similarity scores of the third products according to the height, and determining a second product with the highest similarity score in the third products.
Optionally, the second formula includes:
wherein a and b represent product a and product b, P respectivelya,CRepresenting the similarity score of product a, C representing the set of similar products of product a, RbRepresents the score value of product b, and sim (a, b) represents the similarity of product a and product b.
The apparatus 400 is capable of implementing each process implemented by the apparatus in the method embodiments of fig. 1 and fig. 2, and is not described here again to avoid repetition. The apparatus 400 can achieve the technical effect of improving the parameter information display efficiency.
Referring to fig. 6, fig. 6 is a schematic structural diagram of another parameter display apparatus according to an embodiment of the present application, and as shown in fig. 6, an apparatus 600 includes:
the input module 601 is used for inputting a target product;
the obtaining module 602 is configured to obtain a product code of the target product, and screen the product according to the product code;
the processing module 603 is configured to process data of the screened product after the product is screened;
and the display module 604 is used for displaying the recommended price of the target product in the project management system after the data processing is finished.
Optionally, the obtaining module 602 may be specifically configured to:
and screening a plurality of products with highest similarity according to the target products.
Wherein, the product similarity can be calculated according to the following formula:
wherein a and b respectively represent a product a and a product b, sim (a, b) represents the similarity between the product a and the product b, i represents the subject i of the product coding information, ra,iAnd rb,iRespectively representing the code number of the product a and the code number of the product b on the subject i, and k represents a first subject with different code numbers of the product a and the product b in the comparison result.
Optionally, the obtaining module 602 may be further specifically configured to:
and calculating the similarity scores of the plurality of products, and screening the product with the highest similarity score in the plurality of products.
Wherein, the similarity level of the product can be calculated according to the following formula:
wherein a and b represent product a and product b, P respectivelya,CRepresenting the similarity score of product a, C representing the set of similar products of product a, RbRepresents the score value of product b, and sim (a, b) represents the similarity of product a and product b.
Optionally, the processing module 603 may be specifically configured to:
acquiring historical purchasing data of a product;
arranging the historical purchase data in a reverse order according to the time sequence, taking the first 100 to calculate an average value, and simultaneously calculating 25-quantile price, a median price and a 75-quantile price;
and sorting the historical purchasing data according to unit prices according to the height to obtain a maximum value and a minimum value.
The apparatus 600 is capable of implementing each process implemented by the apparatus in the method embodiment of fig. 3, and is not described here again to avoid repetition. The device 600 can achieve the technical effect of improving the parameter information display efficiency.
Referring to fig. 7, an electronic device 700 includes a processor 701, a memory 702, and a program or an instruction stored in the memory 702 and executable on the processor 701, where the program or the instruction is executed by the processor 701 to implement the processes of the parameter display method embodiment, and achieve the same technical effects, and the details are not repeated here to avoid repetition.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the parameter display method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device in the above embodiment. Readable storage media, including computer-readable storage media, such as Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods of the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A method for parameter presentation, comprising:
receiving an operation command of a user for a first product;
screening a second product with the similarity higher than a first preset condition with the first product according to the operation command, and acquiring a plurality of historical parameter information of the second product;
sequencing the plurality of historical parameter information in a reverse time sequence to obtain a first historical parameter information sequence;
sorting the sizes of the plurality of historical parameter information parameters to obtain a second historical parameter information sequence;
and determining the parameter information of the second product based on the first historical parameter information sequence and the second historical parameter information sequence, and displaying the parameter information of the second product.
2. The method of claim 1, wherein before the screening for the second product having a similarity higher than a predetermined condition to the first product, the method further comprises:
obtaining encoded information for a plurality of products, wherein the plurality of products includes the first product and includes the second product;
comparing the coded information of the products, and calculating the similarity between the products and the first product by using a first formula according to the comparison result.
3. The method of claim 2, wherein the first formula comprises:
wherein a and b respectively represent a product a and a product b, sim (a, b) represents the similarity between the product a and the product b, i represents the subject i of the product coding information, ra,iAnd rb,iRespectively representing the code number of the product a and the code number of the product b on the subject i, and k represents a first subject with different code numbers of the product a and the product b in the comparison result.
4. The method of claim 1, wherein the screening for a second product having a similarity to the first product above a predetermined condition comprises:
screening a third product which has higher similarity with the first product than other products, wherein the third product comprises M products which have higher similarity with the first product than other products, M is a positive integer, and the other products are products except the M products in the plurality of products;
and screening the second product with the highest similarity score with the first product in the third products.
5. The method of claim 4, wherein said screening said second one of said third products having a highest similarity score with said first product comprises:
calculating a similarity score for the third product according to a second formula;
and sequencing the similarity scores of the third products according to the height, and determining a second product with the highest similarity score in the third products.
6. The method of claim 5, wherein the second formula comprises:
wherein b and v represent respectively product b and product v, product b belonging to said third product, Pb,CRepresenting the similarity score of product b, C representing the set of nearest neighbors of product b, RvRepresents the score value of product v, and sim (b, v) represents the similarity of product b to product v.
7. A parameter display apparatus, comprising:
the receiving module is used for receiving an operation command of a user aiming at the first product;
the screening module is used for screening a second product with the similarity higher than a preset condition with the first product according to the operation command and acquiring a plurality of historical parameter information of the second product;
the first sequencing module is used for sequencing the plurality of historical parameter information in a reverse time sequence to obtain a first historical parameter information sequence;
the second sorting module is used for sorting the sizes of the plurality of historical parameter information parameters to obtain a second historical parameter information sequence;
and the display module is used for determining the parameter information of the first product based on the first historical parameter information sequence and the second historical parameter information sequence and displaying the parameter information of the first product.
8. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executed on the processor, which when executed by the processor, implement the steps of the parameter exposure method of any one of claims 1 to 6.
9. A readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the parameter presentation method according to any one of claims 1 to 6.
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