CN112991015A - Automatic shoe size matching and recommending method - Google Patents
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Abstract
The invention belongs to the technical field of shoe size matching, and particularly relates to an automatic shoe size matching and recommending method, which comprises the steps of obtaining a selected currently selected shoe size, wherein the size information of a standard shoe size of the current shoe size is stored in a standard shoe size database in advance; acquiring current actual foot type information of a user; comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result; and generating a shoe size recommendation suggestion according to the comparison analysis result. The shoe size matching device and the shoe size matching method realize the judgment of whether the size after the user selects the shoe size is proper or not, further reduce the problem of high shoe size return and exchange rate in the internet sales process, reduce the production cost, improve the user experience, solve the problem of uneven shoe size matching proportion in the shoe enterprise production through the accurate matching judgment of the shoe size, and effectively reduce the problem of overhigh shoe enterprise inventory.
Description
Technical Field
The invention belongs to the technical field of shoe size matching, and particularly relates to an automatic shoe size matching and recommending method.
Background
At present, shoe sizes adopted by various countries in the shoe industry world are not consistent, but generally only comprise two measurements of length and width, no specific size standard exists for foot types and the like, and for the advanced electronic commerce, only a user can correctly select the shoe size by trying on in the mail, so that the corresponding cost is undoubtedly increased.
When a consumer purchases and selects shoes on the internet, the consumer can only select the existing shoe size, but the shoe size does not have a unified standard, so that the situation that the shoe size is not matched with the foot type is often caused by selecting the same shoe size of different brands, and when the consumer takes the shoes with the improper shoe size, the consumer can only select goods return or change goods, so that the extremely high goods return rate is caused, the production cost such as postage is improved, and the use demand and the use experience of the user are greatly influenced.
Therefore, it is necessary to design an automatic shoe size matching recommendation method.
Disclosure of Invention
The invention aims to provide an automatic shoe size matching and recommending method, and aims to solve the technical problems that in the prior art, the return rate is high due to mismatching of a shoe size selected by a consumer and an actual shoe size, the user experience is influenced, and the stock is too high due to uneven shoe size matching proportion in shoe enterprise production.
In order to achieve the above object, an embodiment of the present invention provides an automatic shoe size matching recommendation method, including:
step S100: acquiring a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of a current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance;
step S200: acquiring current actual foot type information of a user;
step S300: comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result;
step S400: and generating a shoe size recommendation suggestion according to the comparison and analysis result, and displaying the shoe size recommendation suggestion on a display interface.
Optionally, the comparison analysis result comprises a shoe size matchable indication;
step S300: comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result; the method specifically comprises the following steps:
step S310: comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and acquiring the actual similarity value of the current actual foot type information and the current shoe size standard shoe size information;
step S320: judging whether the actual similarity value is larger than a preset first similarity value or not;
step S330: if the shoe size is judged to be yes, a shoe size matching indication is generated.
Optionally, the comparison analysis result further includes other recommended shoe size indications;
step S320: judging whether the actual similarity value is larger than a preset first similarity value or not; then also comprises the following steps:
step S340: if not, respectively calculating comparison similarity values of the current actual foot type information and the size information of each standard shoe size in the standard shoe size database;
step S350: screening out the maximum value from the comparison similarity values;
step S360: searching a corresponding shoe size from the standard shoe size database according to the maximum comparison similarity value in the comparison similarity values, and recording as a recommendable shoe size;
step S370: and generating other recommended shoe size indications according to the recommendable shoe sizes.
Optionally, step S370: generating other recommended shoe size indications according to the recommendable shoe sizes; then also comprises the following steps:
step S371: acquiring user basic information for selecting the currently selected shoe size, wherein the user basic information comprises region information;
step S372: binding the region information with the recommendable shoe size and the current actual foot type information and creating a region standard shoe size library;
step S373: and storing the region standard shoe size library in the standard shoe size database.
Optionally, step S200: acquiring the current actual foot type information of the user: the method specifically comprises the following steps:
step S210: acquiring a multi-angle photo of a foot of a user;
step S220: and extracting target data of the multi-angle photo, and acquiring the current actual foot type information.
Optionally, an automatic shoe size matching and recommending device is further provided, the device comprising:
the selected shoe size module is used for acquiring a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of the current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance;
the actual foot type information acquisition module is used for acquiring the current actual foot type information of the user;
the analysis result generation module is used for comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size and generating a comparison analysis result;
and the recommendation suggestion generation module is used for generating shoe size recommendation suggestions according to the comparison and analysis results and displaying the shoe size recommendation suggestions on a display interface.
Optionally, the analysis result generation module includes:
the comparison analysis module is used for comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size and acquiring the actual similarity value of the current actual foot type information and the current shoe size standard shoe size information;
the first judgment module is used for judging whether the actual similarity value is larger than a preset first similarity value or not;
a second judging module for generating a shoe size matchable indication if the judgment is yes
Optionally, the analysis result generation module includes:
the third judging module is used for judging whether the actual similarity value is larger than a preset first similarity value or not; then also comprises the following steps:
the comparison similarity value calculation module is used for respectively calculating the comparison similarity values of the current actual foot type information and the size information of each standard shoe size in the standard shoe size database if the judgment result is negative;
the maximum value screening module is used for screening out the maximum value from the comparison similarity values;
the recommendable shoe size acquisition module is used for searching the corresponding shoe size from the standard shoe size database according to the maximum comparison similarity value in the comparison similarity values and recording the shoe size as a recommendable shoe size;
and the recommended shoe size indicating module is used for generating other recommended shoe size indications according to the recommendable shoe sizes.
Computer device comprising a memory and a processor, said memory storing a computer program, characterized in that said processor realizes the steps of a method for automatic shoe size matching recommendation when executing said computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of a method for automatic shoe size matching recommendation.
One or more technical schemes in the automatic shoe size matching and recommending method provided by the embodiment of the invention at least have one of the following technical effects:
the method comprises the steps of firstly obtaining a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of the current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance; then obtaining the current actual foot type information of the user; then comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result; and then a shoe size recommendation suggestion is generated according to the comparison and analysis result, and the shoe size recommendation suggestion is displayed on a display interface, so that the judgment of whether the size after the user selects the shoe size is suitable is realized, the problem of high shoe size return and exchange rate in the internet sales process is reduced, the production cost is reduced, the user experience is improved, the problem of uneven shoe size matching proportion in the shoe enterprise production is solved through the accurate matching judgment of the shoe size, and the problem of overhigh shoe inventory is effectively reduced.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is an application scenario diagram of an automatic shoe size matching recommendation method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of the generation of the shoe size matchable indication according to the embodiment of the present invention;
FIG. 3 is a schematic flow chart of generating other recommended shoe size indicators according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating a process of generating an indication of another recommended shoe size according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a procedure of storing the regional standard shoe size database in the standard shoe size database according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating specific steps for obtaining current actual foot type information of a user according to an embodiment of the present invention;
FIG. 7 is a schematic flow chart of generating a shoe size matchable indication according to another embodiment of the present invention;
fig. 8 is a schematic flowchart illustrating a process after acquiring the special population foot code information according to the embodiment of the present invention;
FIG. 9 is a schematic flow chart of an automatic shoe size matching recommendation device according to an embodiment of the present invention;
fig. 10 is a block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
In one embodiment of the invention, the automatic shoe size matching recommendation method is applicable to an application scenario as shown in fig. 1, in which a user triggers a terminal to enable the terminal to acquire a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of a current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance; acquiring current actual foot type information of a user; comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result; and generating a shoe size recommendation suggestion according to the comparison and analysis result, and displaying the shoe size recommendation suggestion on a display interface.
The terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.
In one embodiment of the present invention, as shown in fig. 2, there is provided an automatic shoe size matching recommendation method, including:
step S100: acquiring a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of a current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance;
in this step, the standard shoe size database is preset, that is, a plurality of standard shoe size information are prestored in the standard shoe size database, each standard shoe size information corresponds to one shoe size, and each shoe size is displayed to a user through a display interface for the user to select.
The specific shoe size selected by the user is the currently selected shoe size.
Furthermore, the standard shoe size database can be set for a manufacturing end, and production configuration data can be formulated according to styles to be developed by extracting data of foot shapes of clients collected by the database module. Or scanning the size data of the last of each code of each shoe by using a 3D scanner to form a unique code with a specified rule, uploading and storing the data, and further forming the standard shoe code database.
Step S200: acquiring current actual foot type information of a user;
specifically, the current actual foot type information is the foot type information of the foot of the user who selects the currently selected shoe size.
Further, the current actual foot type information includes, but is not limited to, actual foot length, actual foot width, actual instep curve data, and actual toe information.
Step S300: comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result;
specifically, the size information of the standard shoe size of the current shoe size is compared with the information of the current actual foot type, so that whether the actual foot type of the user is matched with the size corresponding to the selected shoe size is judged.
The comparison analysis result comprises information whether the actual foot type of the user is matched with the size corresponding to the selected shoe size.
Step S400: and generating a shoe size recommendation suggestion according to the comparison and analysis result, and displaying the shoe size recommendation suggestion on a display interface.
In this step, a suggestion display interface is generated according to the shoe size recommendation suggestion, and the suggestion display interface is the display interface in step S400.
Specifically, through generating the display interface, a user can conveniently and quickly know the shoe size recommendation suggestion.
In another embodiment of the present invention, as shown in fig. 3, the comparison analysis result includes a shoe size matchable indication;
step S300: comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result; the method specifically comprises the following steps:
step S310: comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and acquiring the actual similarity value of the current actual foot type information and the current shoe size standard shoe size information;
specifically, the actual similarity value represents the degree of similarity between the current actual foot size information and the current shoe size standard shoe size information.
Step S320: judging whether the actual similarity value is larger than a preset first similarity value or not;
specifically, the first similarity value is preset. Namely, the first similarity value is preset, thereby facilitating comparison.
Further, the first similarity value may be set to 95%, or other values approaching 100%. And when the first similarity value is met, the similarity degree of the current actual foot type information and the current shoe size standard shoe size information meets the requirement, and the actual foot type of the user is also matched with the selected shoe size.
Step S330: if the shoe size is judged to be yes, a shoe size matching indication is generated.
In this step, if yes, it is determined that the actual similarity value is greater than a preset first similarity value. At this time, the user's foot shape can be more comfortably matched with the shoe corresponding to the currently selected shoe size. Accordingly, the shoe size matchable indication is generated for indicating generation of a corresponding shoe size suggestion.
Specifically, in this embodiment, step S400: generating a shoe size recommendation suggestion according to the comparison and analysis result, and displaying the shoe size recommendation suggestion on a display interface, wherein the method specifically comprises the following steps:
and generating shoe size matching suggestions according to the shoe size matching indications, and displaying the shoe size matching suggestions on a display interface.
Further, the shoe size matchable suggestion may be "currently selected shoe size match, suggested selection.
In another embodiment of the present invention, as shown in fig. 4, the comparison analysis result further includes other recommended shoe size indications;
step S320: judging whether the actual similarity value is larger than a preset first similarity value or not; then also comprises the following steps:
step S340: if not, respectively calculating comparison similarity values of the current actual foot type information and the size information of each standard shoe size in the standard shoe size database;
if the judgment is negative, namely the actual similarity value is not larger than the preset first similarity value, the fact that the size information of the current shoe size standard shoe size corresponding to the currently selected shoe size selected by the user is not matched with the actual foot type information of the user is explained, namely the currently selected shoe size of the user is not suitable for the current foot type of the user.
In order to recommend a more appropriate shoe size to the user, the comparison similarity value between the current actual foot type information and the size information of each standard shoe size in the standard shoe size database needs to be calculated respectively, so as to select the size information of each standard shoe size which is more matched from the standard shoe size database.
Step S350: screening out the maximum value from the comparison similarity values;
in this step, the standard shoe size information corresponding to the largest comparison similarity value is screened out as the best matching shoe size.
Step S360: searching a corresponding shoe size from the standard shoe size database according to the maximum comparison similarity value in the comparison similarity values, and recording as a recommendable shoe size;
step S370: and generating other recommended shoe size indications according to the recommendable shoe sizes.
Specifically, in this embodiment, step S400: generating a shoe size recommendation suggestion according to the comparison and analysis result, and displaying the shoe size recommendation suggestion on a display interface, wherein the method specifically comprises the following steps:
firstly, generating other shoe size recommendation suggestions according to the other shoe size recommendation indications, and displaying the other shoe size recommendation suggestions and a display interface.
In another embodiment of the present invention, as shown in fig. 5, step S370: generating other recommended shoe size indications according to the recommendable shoe sizes; then also comprises the following steps:
step S371: acquiring user basic information for selecting the currently selected shoe size, wherein the user basic information comprises region information;
in particular, after generating other recommended shoe size indicators, it is stated that the shoe sizes in the standard shoe size database are not suitable for the current user, possibly due to geographical reasons leading to a particular foot type of the user, and a more suitable size can be provided for the particular foot type for the next selection.
So as to obtain the basic information of the user selecting the currently selected shoe size.
Further, the user basic information further includes gender information and age information of the user.
Step S372: binding the region information with the recommendable shoe size and the current actual foot type information and creating a region standard shoe size library;
and then, after the region information is bound with the recommendable shoe size and the current actual foot type information, generating a region standard shoe size library, thereby providing different shoe size libraries for different regions.
Furthermore, the step also comprises the step of binding the gender information and the age information of the user with the recommendable shoe size and the current actual foot type information and storing the information in the regional standard shoe size library.
Furthermore, after the gender information and the age information are bound, the shoe size can be matched respectively for different age groups and different genders in different regions, and the matching efficiency and the matching accuracy are improved.
Step S373: and storing the region standard shoe size library in the standard shoe size database.
Furthermore, after the region standard shoe size library is stored in the standard shoe size database, the standard shoe size database is enriched on one hand, and data support can be provided for users in other same regions on the other hand.
In addition, the regional standard shoe size database is similar to a feedback, and the standard shoe size database is enriched by feeding back the information that the user achieves the actual foot type.
In another embodiment of the present invention, in step S373: after the regional standard shoe size library is stored in the standard shoe size database, the method further comprises the following steps:
and extracting all regional standard shoe codes from the standard shoe code database, packaging and sending the regional standard shoe codes to an external terminal.
Specifically, the external terminal is a medical and scientific research user, so that the regional standard shoe size information can be used for providing data support for the medical and scientific research user for human foot type evolution research and other purposes, and the applicability and the application range of data are improved.
In another embodiment of the present invention, as shown in fig. 6, step S200: acquiring the current actual foot type information of the user: the method specifically comprises the following steps:
step S210: acquiring a multi-angle photo of a foot of a user;
specifically, the multi-angle photo is obtained by taking up the upper, lower, left, right, front and rear pictures of the foot shape of the client. The multi-angle photo is a photo of a plurality of angles.
Step S220: and extracting target data of the multi-angle photo, and acquiring the current actual foot type information.
In this step, by using an image processing technology, the current actual foot shape information is obtained by extracting target data of the multi-angle photo, such as foot shape, foot length, foot width, instep and toe length profile information of a foot in the multi-angle photo.
In another embodiment of the present invention, as shown in fig. 7, the method further comprises the steps of:
step S510: acquiring triggered special crowd foot code information input triggering instructions;
specifically, in order to adapt to special crowds, the special crowds are facilitated by acquiring the special crowds foot code information input trigger instruction.
Further, the special population is the disabled population, such as deformed people with deformed feet or normal feet which are not known by the general concept of the feet due to diseases.
Step S520: generating an information input interface according to the special crowd foot code information input trigger instruction;
furthermore, the information input interface is generated, so that a user can conveniently input information. The information input interface also displays input prompt information, and further provides an indication for a user when inputting information.
Step S530: acquiring the foot code information of the special crowd input through the information input interface;
step S540: and storing the special population foot code information in the standard shoe code database.
Specifically, in the step, the special population foot code information is stored in the standard shoe code database, so that information comparison during subsequent shoe code selection of special populations is facilitated.
In another embodiment of the present invention, as shown in fig. 8, step S530: acquiring the foot code information of the special crowd input through the information input interface; then also comprises the following steps:
step S531: generating last production data according to the special population foot code information;
specifically, the last production data is used for data used by a manufacturer in shoe production, and the production is facilitated through the last production data.
Step S532: generating production prompt information according to the last production data; and the production prompt information is used for prompting a producer to produce shoes matched with the foot code information of the special population.
Furthermore, the production prompt information is generated and the producer is prompted to produce shoes matched with the special crowd foot code information, so that the special crowd is facilitated.
In another embodiment of the invention, as shown in fig. 9, an automatic shoe size matching recommendation device is further provided, and the device comprises a selected shoe size module, an actual foot type information acquisition module, an analysis result generation module and a recommendation suggestion generation module.
The selected shoe size module is used for acquiring a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of the current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance;
the actual foot type information acquisition module is used for acquiring the current actual foot type information of the user;
the analysis result generation module is used for comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size and generating a comparison analysis result;
and the recommendation suggestion generation module is used for generating shoe size recommendation suggestions according to the comparison and analysis results and displaying the shoe size recommendation suggestions on a display interface.
In another embodiment of the present invention, the analysis result generating module includes a comparison analyzing module, a first determining module and a second determining module.
The comparison analysis module is used for comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size and acquiring the actual similarity value of the current actual foot type information and the current shoe size standard shoe size information;
the first judgment module is used for judging whether the actual similarity value is larger than a preset first similarity value or not;
a second judging module for generating a shoe size matchable indication if the judgment is yes
In another embodiment of the invention, the analysis result generation module comprises a third judgment module, a comparison similarity value calculation module, a maximum value screening module, a recommendable shoe size acquisition module and a recommended shoe size indication module.
The third judging module is used for judging whether the actual similarity value is larger than a preset first similarity value or not; then also comprises the following steps:
the comparison similarity value calculation module is used for respectively calculating the comparison similarity values of the current actual foot type information and the size information of each standard shoe size in the standard shoe size database if the judgment result is negative;
the maximum value screening module is used for screening out the maximum value from the comparison similarity values;
the recommendable shoe size acquisition module is used for searching the corresponding shoe size from the standard shoe size database according to the maximum comparison similarity value in the comparison similarity values and recording the shoe size as a recommendable shoe size;
and the recommended shoe size indicating module is used for generating other recommended shoe size indications according to the recommendable shoe sizes.
In another embodiment of the present invention, the actual foot information obtaining module further comprises a multi-angle photo obtaining module and a target data extracting module.
The multi-angle photo acquisition module is used for acquiring multi-angle photos of the feet of a user;
and the target data extraction module is used for extracting target data of the multi-angle photo and acquiring the current actual foot type information.
In another embodiment of the present invention, the apparatus further comprises:
the input trigger instruction acquisition module is used for acquiring triggered special crowd foot code information input trigger instructions;
the information input interface generating module is used for generating an information input interface according to the special crowd foot code information input triggering instruction;
the special crowd foot code information acquisition module is used for acquiring the special crowd foot code information input through the information input interface;
and the information storage module is used for storing the special population foot code information in the standard shoe code database.
In another embodiment of the present invention, the recorded trigger instruction obtaining module is further configured to generate last production data according to the special population foot code information; generating production prompt information according to the last production data; and the production prompt information is used for prompting a producer to produce shoes matched with the foot code information of the special population.
In another embodiment of the present invention, as shown in fig. 10, there is provided a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the automatic shoe size matching recommendation method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, performs the steps in the method for automatic shoe size matching recommendation.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. An automatic shoe size matching and recommending method is characterized by comprising the following steps:
acquiring a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of a current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance;
acquiring current actual foot type information of a user;
comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result;
and generating a shoe size recommendation suggestion according to the comparison and analysis result, and displaying the shoe size recommendation suggestion on a display interface.
2. The method according to claim 1, wherein the comparison analysis result comprises a shoe size matchable indication;
comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and generating a comparison and analysis result; the method specifically comprises the following steps:
comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size, and acquiring the actual similarity value of the current actual foot type information and the current shoe size standard shoe size information;
judging whether the actual similarity value is larger than a preset first similarity value or not;
if the shoe size is judged to be yes, a shoe size matching indication is generated.
3. The automatic shoe size matching recommendation method according to claim 2, wherein the comparison analysis result further comprises other recommended shoe size indications;
judging whether the actual similarity value is larger than a preset first similarity value or not; then also comprises the following steps:
if not, respectively calculating comparison similarity values of the current actual foot type information and the size information of each standard shoe size in the standard shoe size database;
screening out the maximum value from the comparison similarity values;
searching a corresponding shoe size from the standard shoe size database according to the maximum comparison similarity value in the comparison similarity values, and recording as a recommendable shoe size;
and generating other recommended shoe size indications according to the recommendable shoe sizes.
4. The automatic shoe size matching recommendation method according to claim 3, wherein step S370: generating other recommended shoe size indications according to the recommendable shoe sizes; then also comprises the following steps:
acquiring user basic information for selecting the currently selected shoe size, wherein the user basic information comprises region information;
binding the region information with the recommendable shoe size and the current actual foot type information and creating a region standard shoe size library;
and storing the region standard shoe size library in the standard shoe size database.
5. The automatic shoe size matching recommendation method according to any one of claims 1-4, characterized in that the current actual foot type information of the user is obtained: the method specifically comprises the following steps:
acquiring a multi-angle photo of a foot of a user;
and extracting target data of the multi-angle photo, and acquiring the current actual foot type information.
6. An automatic shoe size matching and recommending device, characterized in that the device comprises:
the selected shoe size module is used for acquiring a selected current selected shoe size, wherein the current selected shoe size corresponds to standard shoe size information of the current shoe size, and the standard shoe size information of the current shoe size is stored in a standard shoe size database in advance;
the actual foot type information acquisition module is used for acquiring the current actual foot type information of the user;
the analysis result generation module is used for comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size and generating a comparison analysis result;
and the recommendation suggestion generation module is used for generating shoe size recommendation suggestions according to the comparison and analysis results and displaying the shoe size recommendation suggestions on a display interface.
7. The automatic shoe size matching recommendation device according to claim 6, wherein the analysis result generation module comprises:
the comparison analysis module is used for comparing and analyzing the current actual foot type information with the current shoe size standard shoe size information contained in the currently selected shoe size and acquiring the actual similarity value of the current actual foot type information and the current shoe size standard shoe size information;
the first judgment module is used for judging whether the actual similarity value is larger than a preset first similarity value or not;
and the second judgment module is used for generating a shoe size matching indication if the judgment result is yes.
8. The automatic shoe size matching recommendation device according to claim 7, wherein the analysis result generation module comprises:
the third judging module is used for judging whether the actual similarity value is larger than a preset first similarity value or not; then also comprises the following steps:
the comparison similarity value calculation module is used for respectively calculating the comparison similarity values of the current actual foot type information and the size information of each standard shoe size in the standard shoe size database if the judgment result is negative;
the maximum value screening module is used for screening out the maximum value from the comparison similarity values;
the recommendable shoe size acquisition module is used for searching the corresponding shoe size from the standard shoe size database according to the maximum comparison similarity value in the comparison similarity values and recording the shoe size as a recommendable shoe size;
and the recommended shoe size indicating module is used for generating other recommended shoe size indications according to the recommendable shoe sizes.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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