CN109857951B - Calligraphy friend-making information recommendation method, device, equipment and readable storage medium - Google Patents

Calligraphy friend-making information recommendation method, device, equipment and readable storage medium Download PDF

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CN109857951B
CN109857951B CN201910142944.5A CN201910142944A CN109857951B CN 109857951 B CN109857951 B CN 109857951B CN 201910142944 A CN201910142944 A CN 201910142944A CN 109857951 B CN109857951 B CN 109857951B
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user
calligraphy
information
characteristic information
handwriting
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CN109857951A (en
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王晓霞
魏进武
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Abstract

The invention provides a calligraphy friend-making information recommendation method, device and equipment and a readable storage medium, wherein calligraphy images of a first user are acquired; acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user; determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information; and sending calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of the second users, so that user information recommendation similar to calligraphy font preference is realized, the matching degree with user requirements is improved, and the success rate of friend making is improved.

Description

Calligraphy friend-making information recommendation method, device, equipment and readable storage medium
Technical Field
The invention relates to the internet technology, in particular to a calligraphy friend-making information recommendation method, a calligraphy friend-making information recommendation device, calligraphy friend-making information recommendation equipment and a readable storage medium.
Background
The calligraphy is the national symbol with the most classical mark in the traditional culture and art development of China, and the prior art has a plurality of methods for assisting the practice of the writing brush calligraphy, for example, a computer can automatically evaluate the practice handwriting, and the defects in the methods are pointed out from the aspects of the stroke order, the handwriting structure, the pen-moving force, the speed, the pen-moving mode, the position corresponding relation among strokes and the like between template handwriting and the practice handwriting. But the prior calligraphy practice means is single and lacks interest; furthermore, calligraphy exercises are generally performed by one person alone, interaction with other calligraphy exercisers is lacked, and the contact effect is difficult to improve only by means of guidance of a computer. However, the calligraphy and friend-making information recommendation method is diversified, a practicer close to the level of the practicer and the calligraphy and friend-making information recommendation method is difficult to find only by the user, and the calligraphy and friend-making information recommendation method is accurate in positioning.
The existing friend-making information recommendation method is to recommend friend-making information based on label information set by a user, for example, if the user sets a label 'calligraphy' in own personal information, other user information with the label 'calligraphy' is recommended to the user.
However, users with different calligraphy levels or calligraphy systems have communication obstacles or have large opinion divergence, and the user experience is not high.
Disclosure of Invention
The embodiment of the invention provides a calligraphy friend-making information recommendation method, a calligraphy friend-making information recommendation device, calligraphy friend-making information recommendation equipment and a readable storage medium, which are used for realizing user information recommendation close to calligraphy font preference and improving the matching degree with user requirements.
In a first aspect of the embodiments of the present invention, a method for recommending calligraphy friend-making information is provided, including:
acquiring a calligraphy image of a first user;
acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user;
determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information;
and sending calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of the second users.
Optionally, the handwriting characteristic information includes font information;
the determining, according to the handwriting feature information, at least one second user matching with the handwriting feature information among pre-stored calligraphy users includes:
acquiring at least one pre-stored font type corresponding to the calligraphy user;
obtaining a target font type matched with the font information from the at least one font type;
and determining at least one second user matched with the handwriting characteristic information in the calligraphy users corresponding to the target font type.
Optionally, the handwriting characteristic information further includes a user calligraphy grade;
the determining, among the calligraphic users corresponding to the target font type, at least one second user matching the handwriting feature information includes:
acquiring at least one calligraphy grade of each calligraphy user corresponding to the target font type;
determining a target grade in the at least one calligraphy grade according to the user calligraphy grade of the first user;
and in the calligraphic users corresponding to the target font type, taking the calligraphic user corresponding to the target grade as at least one second user matched with the handwriting characteristic information.
Optionally, the determining a target level in the at least one calligraphy level according to the user calligraphy level of the first user includes:
and in at least one calligraphy grade of each calligraphy user corresponding to the target font type, taking the calligraphy grade higher than or equal to the calligraphy grade of the user as the target grade.
Optionally, before the determining, according to the handwriting feature information, at least one second user matching with the handwriting feature information among pre-stored calligraphic users, the method further includes:
acquiring pre-stored handwriting characteristic information of each calligraphy user;
clustering the pre-stored handwriting characteristic information of each calligraphy user to obtain a plurality of calligraphy user groups, wherein each calligraphy user group comprises at least one calligraphy user, and each calligraphy user group corresponds to one font type;
correspondingly, the determining, according to the handwriting characteristic information, at least one second user matching with the handwriting characteristic information among pre-stored calligraphy users includes:
according to the handwriting characteristic information, determining a handwriting user group matched with the handwriting characteristic information in the plurality of handwriting user groups;
and taking the calligraphy users in the calligraphy user group matched with the handwriting characteristic information as second users.
In a second aspect of the embodiments of the present invention, there is provided a calligraphy friend-making information recommendation apparatus, including:
the image acquisition module is used for acquiring a calligraphy image of a first user;
the characteristic extraction module is used for acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user;
the user matching module is used for determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information;
and the recommending module is used for sending calligraphy friend-making recommending information to the first user according to the user information and the latest position information of the second users.
Optionally, the handwriting characteristic information includes font information;
the user matching module is used for acquiring at least one pre-stored font type corresponding to the calligraphy user; obtaining a target font type matched with the font information from the at least one font type; and determining at least one second user matched with the handwriting characteristic information in the calligraphy users corresponding to the target font type.
Optionally, the handwriting characteristic information further includes a user calligraphy grade;
the user matching module is used for acquiring at least one calligraphy grade of each calligraphy user corresponding to the target font type; determining a target grade in the at least one calligraphy grade according to the user calligraphy grade of the first user; and in the calligraphic users corresponding to the target font type, taking the calligraphic user corresponding to the target grade as at least one second user matched with the handwriting characteristic information.
Optionally, the user matching module is configured to, in at least one calligraphy level of each calligraphy user corresponding to the target font type, use the calligraphy level higher than or equal to the user calligraphy level as the target level.
Optionally, the method further comprises:
the font grouping module is used for acquiring the pre-stored handwriting characteristic information of each handwriting user before the user matching module determines at least one second user matched with the handwriting characteristic information in the pre-stored handwriting users according to the handwriting characteristic information; clustering the pre-stored handwriting characteristic information of each calligraphy user to obtain a plurality of calligraphy user groups, wherein each calligraphy user group comprises at least one calligraphy user, and each calligraphy user group corresponds to one font type;
correspondingly, the user matching module is used for determining the calligraphic user group matched with the handwriting characteristic information in the plurality of calligraphic user groups according to the handwriting characteristic information; and taking the calligraphy users in the calligraphy user group matched with the handwriting characteristic information as second users.
In a third aspect of the embodiments of the present invention, a terminal is provided, including: the system comprises a memory, a processor and a computer program, wherein the computer program is stored in the memory, and the processor runs the computer program to execute the calligraphy friend-making information recommendation method of the first aspect and various possible designs of the first aspect of the invention.
In a fourth aspect of the embodiments of the present invention, a readable storage medium is provided, where a computer program is stored, and the computer program is used, when being executed by a processor, to implement the method for recommending calligraphy friend-making information according to the first aspect and various possible designs of the first aspect of the present invention.
The invention provides a calligraphy friend-making information recommendation method, device and equipment and a readable storage medium, wherein calligraphy images of a first user are acquired; acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user; determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information; and sending calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of the second users, so that user information recommendation similar to calligraphy font preference is realized, the matching degree with user requirements is improved, and the success rate of friend making is improved.
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Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present invention;
FIG. 2 is a schematic flowchart of a method for recommending friend-making information by calligraphy according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a device for recommending calligraphy friend-making information according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a calligraphic friend-making information recommendation device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of an apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present invention. After writing characters, a user shoots written calligraphy works by using the terminal 1 of the user, the terminal 1 sends calligraphy images to the server 2, the server 2 matches other user information suitable for making friends for the user in the existing calligraphy user library 3 by using the calligraphy images and feeds the matched calligraphy images back to the terminal, and the terminal presents calligraphy friend-making recommendation information to the user. The calligraphic user library 3 may be an external database connected to the server 2 (as shown in fig. 1), or may be a built-in database of the server 2. For example, if the user writes a regular script calligraphy, the server 2 recommends the calligraphy user who uploads the regular script calligraphy images in the calligraphy user library 3 to the user, so as to recommend other users of a similar calligraphy system to the user, and improve the success rate of making friends.
It should be appreciated that the invention may be practiced in network computing environments with many types of computer system configurations, including personal computers, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, and the like. The invention may also be practiced in distributed computing environments where tasks are performed by local and remote processing devices that are linked (either by hardwired links, wireless links, or by a combination of hardwired or wireless links) through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
Referring to fig. 2, which is a schematic flowchart of a method for recommending calligraphy friend-making information according to an embodiment of the present invention, an execution main body of the method shown in fig. 2 may be a software and/or hardware device, and a server is taken as an execution main body for illustration. The method shown in fig. 2 includes steps S101 to S104, which are specifically as follows:
s101, acquiring a calligraphy image of a first user.
Specifically, the first user may install a terminal (e.g., a camera or a mobile phone) with a camera function above the calligraphy contact table, so that the terminal captures a calligraphy image of the first user after the first user completes writing or during writing. The following description will be given taking a mobile phone as an example of a terminal having an image pickup function. The first user may also be understood as an account of the user. For example, a first user logs in an account of the first user on a mobile phone, and then uploads a calligraphy image to a server by using the account of the first user. After the server acquires the calligraphy image uploaded by the first user, some image processing can be performed, such as background filtering, contrast increasing and the like.
And S102, acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user.
After the calligraphy image of the first user is obtained, the handwriting feature information of the first user may be obtained from the image processing result of the calligraphy image, or may be obtained by combining the calligraphy image with, for example, a pre-stored font template.
In some embodiments, a stroke image may be extracted from a first user's handwriting image, and then font, handwriting level, etc. information written by the first user may be determined based on the stroke image. It should be understood that the font in this embodiment should not be limited to the general classification of regular script, cursive script, seal script, clerical script, etc., but may also be a custom font type, such as a font created by some calligraphic names.
S103, determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information.
In some embodiments, the handwriting characteristic information includes font information. Step S103 may include a process of matching users of similar font types. For example, the server obtains at least one font type corresponding to a pre-stored calligraphy user. The server stores information of the calligraphic users who have registered and logged in and uploaded the calligraphic images, and stores corresponding font types for the calligraphic users, wherein the font types can be determined according to the calligraphic images uploaded by the calligraphic users. For example, a calligraphy user uploads a seal character calligraphy image once, the font type corresponding to the calligraphy user is a seal character, and for example, a calligraphy user uploads two calligraphy images of a real character and an clerical script once, the font type corresponding to the calligraphy user is a real character and an clerical script, or the real character calligraphy image uploaded by the calligraphy user is larger than the clerical script calligraphy image, and the font type corresponding to the calligraphy user can be a real character. And then the server acquires a target font type matched with the font information from the at least one font type. It is understood that matching may refer to font type consistency or similarity less than a preset matching threshold. For example, the first user's handwriting feature information corresponds to a regular font, and then the regular font can be directly used as the target font type. And finally, determining at least one second user matched with the handwriting characteristic information in the calligraphic users corresponding to the target font type. For example, the calligraphic user corresponding to the target font type can be directly used as the at least one second user matched with the handwriting characteristic information.
On the basis of the above embodiments, in some embodiments, the handwriting characteristic information may further include a user calligraphy grade. One implementation of the determining, among the calligraphic users corresponding to the target font type, at least one second user matching the handwriting feature information may include: the server obtains at least one calligraphy grade of each calligraphy user corresponding to the target font type. The server then determines a target rank among the at least one calligraphy rank based on the user calligraphy rank of the first user. In some embodiments, a calligraphy level equal to or higher than a preset number of user calligraphy levels may be used as the target level, for example, the at least one calligraphy level includes: the "entry level", the "first-order level", the "middle-order level", the "high-order level", and the "master level", assuming that the user calligraphy level of the first user is the "first-order level", the "first-order level" and the "middle-order level" may be set as the target levels. In still other embodiments, the target level may be a calligraphy level higher than or equal to a calligraphy level of the user, among at least one calligraphy level of each calligraphy user corresponding to the target font type. Assuming that the user calligraphy level of the first user is "middle-order level", the "high-order level", and the "master level" may be all target levels. After the target level is determined, the server takes the calligraphy users corresponding to the target level as at least one second user matched with the handwriting characteristic information in the calligraphy users corresponding to the target font type. For example, if the "first-order level" and the "middle-order level" are used as the target levels, the calligraphic user having the "first-order level" or the "middle-order level" is the second user who needs to recommend friends to the first user.
In the foregoing embodiment, in order to simplify the calculation and increase the speed of determining at least one second user matching the handwriting characteristic information, before step S103 (determining, from the handwriting characteristic information, at least one second user matching the handwriting characteristic information among pre-stored handwriting users), a process of clustering the handwriting users according to font types may also be included, specifically, the server may first obtain pre-stored handwriting characteristic information of each handwriting user, and then cluster the pre-stored handwriting characteristic information of each handwriting user to obtain a plurality of handwriting user groups, where each handwriting user group includes at least one handwriting user, and each handwriting user group corresponds to one font type. The clustering process may employ many computing methods, such as K-Means (K-Means) clustering, mean shift clustering, density-based clustering method (DBSCAN), and so on. Because most fonts have larger differences in shape characteristics and outlines, calligraphy images with different fonts and different calligraphy styles can be better distinguished by clustering the characteristic information of the users, and are distributed to different calligraphy user groups (namely different classes), so that the fonts are distinguished. Accordingly, the step S103 (determining at least one second user matching the handwriting feature information among the pre-stored calligraphy users according to the handwriting feature information) may include: and according to the handwriting characteristic information, determining a handwriting user group matched with the handwriting characteristic information in the plurality of handwriting user groups, and then taking the handwriting user in the handwriting user group matched with the handwriting characteristic information as a second user.
And S104, sending calligraphy friend making recommendation information to the first user according to the user information and the latest position information of the second users.
It can be understood that the server acquires fixed position information input by each calligraphy user or real-time position information uploaded by a terminal of each calligraphy user, and then uses the last acquired fixed position information or real-time position information as the latest position information of each calligraphy user. The user information of the second user can be understood as the nickname, the head portrait, the account number, the personal introduction and other basic information of the second user, and can also be added to the user information by acquiring the preference information of the user under the condition that the user has an open authority. The calligraphy friend-making recommendation information sent to the first user can be in a text form or a map punctuation form, and the latest position information of the second user is shown to the first user. The calligraphy friend-making recommendation information may include the user information and the latest position information of the second user, and may further include calligraphy grades of the second users. The first user may select a second user to make a friend based on the geographic location. In an embodiment where the calligraphy friend-making recommendation information includes calligraphy grades of the second users, the first user may further select an object to make friends according to the calligraphy grades, for example, select the second user with the same grade to perform friend-making operation. By sending the calligraphy friend-making recommendation information in the embodiments to the first user, the matching degree of the calligraphy friend-making recommendation information for the calligraphy level and the calligraphy type of the user is improved, and the recommendation accuracy of the calligraphy friend-making recommendation information is higher.
According to the calligraphy friend-making information recommendation method provided by the embodiment, the calligraphy image of a first user is obtained; acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user; determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information; and sending calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of the second users, so that user information recommendation similar to calligraphy font preference is realized, the matching degree with user requirements is improved, and the success rate of friend making is improved.
Referring to fig. 3, which is a schematic structural diagram of a calligraphy friend-making information recommendation device according to an embodiment of the present invention, the calligraphy friend-making information recommendation device 30 shown in fig. 3 includes:
an image obtaining module 31, configured to obtain a calligraphy image of a first user;
the feature extraction module 32 is configured to obtain handwriting feature information of the first user according to the calligraphic image of the first user;
the user matching module 33 is configured to determine, according to the handwriting feature information, at least one second user matching the handwriting feature information from among pre-stored calligraphy users;
and the recommending module 34 is configured to send calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of each second user.
The calligraphy friend-making information recommendation device provided by the embodiment acquires a calligraphy image of a first user; acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user; determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information; and sending calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of the second users, so that user information recommendation similar to calligraphy font preference is realized, the matching degree with user requirements is improved, and the success rate of friend making is improved.
In some embodiments, the handwriting characteristic information includes font information. The user matching module 33 is configured to obtain at least one pre-stored font type corresponding to the calligraphic user; obtaining a target font type matched with the font information from the at least one font type; and determining at least one second user matched with the handwriting characteristic information in the calligraphy users corresponding to the target font type.
In some embodiments, the handwriting characteristic information further includes a user handwriting level. The user matching module 33 is configured to obtain at least one calligraphy grade of each calligraphy user corresponding to the target font type; determining a target grade in the at least one calligraphy grade according to the user calligraphy grade of the first user; and in the calligraphic users corresponding to the target font type, taking the calligraphic user corresponding to the target grade as at least one second user matched with the handwriting characteristic information.
In some embodiments, the user matching module 33 is configured to use, as the target level, the calligraphy level higher than or equal to the user calligraphy level in at least one calligraphy level of each calligraphy user corresponding to the target font type.
Referring to fig. 4, which is a schematic structural diagram of a calligraphy friend-making information recommendation device according to an embodiment of the present invention, the calligraphy friend-making information recommendation device 30 shown in fig. 4 further includes:
the font grouping module 35 is configured to obtain pre-stored handwriting feature information of each handwriting user before the user matching module 33 determines, according to the handwriting feature information, at least one second user that matches the handwriting feature information among pre-stored handwriting users; clustering the pre-stored handwriting characteristic information of each calligraphy user to obtain a plurality of calligraphy user groups, wherein each calligraphy user group comprises at least one calligraphy user, and each calligraphy user group corresponds to one font type;
correspondingly, the user matching module 33 is configured to determine, according to the handwriting feature information, a calligraphic user group that matches the handwriting feature information among the plurality of calligraphic user groups; and taking the calligraphy users in the calligraphy user group matched with the handwriting characteristic information as second users.
Referring to fig. 5, which is a schematic diagram of a hardware structure of an apparatus according to an embodiment of the present invention, the apparatus 50 includes: a processor 51, a memory 52 and computer programs; wherein the content of the first and second substances,
a memory 52 for storing the computer program, which may also be a flash memory (flash). The computer program is, for example, an application program, a functional module, or the like that implements the above method.
And the processor 51 is configured to execute the computer program stored in the memory to implement the steps executed by the server in the method for recommending the calligraphy friend-making information. Reference may be made in particular to the description relating to the preceding method embodiment.
Alternatively, the memory 52 may be separate or integrated with the processor 51.
When the memory 52 is a device independent of the processor 51, the apparatus may further include:
a bus 53 for connecting the memory 52 and the processor 51. The apparatus of fig. 5 may further include a transmitter (not shown) for transmitting the calligraphy friend-making recommendation message generated by the processor 91 to the terminal of the user.
The present invention also provides a readable storage medium, in which a computer program is stored, and the computer program is used for implementing the calligraphy friend-making information recommendation method provided by the above various embodiments when being executed by a processor.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instruction from the readable storage medium, and the execution of the execution instruction by the at least one processor causes the device to implement the calligraphy friend-making information recommendation method provided by the various embodiments described above.
In the above embodiments of the apparatus, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. A calligraphy friend-making information recommendation method is characterized by comprising the following steps:
acquiring a calligraphy image of a first user;
acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user;
determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information;
sending calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of each second user;
the handwriting characteristic information comprises font information; the determining, according to the handwriting feature information, at least one second user matching with the handwriting feature information among pre-stored calligraphy users includes:
acquiring at least one pre-stored font type corresponding to the calligraphy user; obtaining a target font type matched with the font information from the at least one font type; determining at least one second user matched with the handwriting characteristic information in the calligraphy users corresponding to the target font type;
the handwriting characteristic information also comprises a user calligraphy grade; the determining, among the calligraphic users corresponding to the target font type, at least one second user matching the handwriting feature information includes:
acquiring at least one calligraphy grade of each calligraphy user corresponding to the target font type; determining a target grade in the at least one calligraphy grade according to the user calligraphy grade of the first user; and in the calligraphic users corresponding to the target font type, taking the calligraphic user corresponding to the target grade as at least one second user matched with the handwriting characteristic information.
2. The method of claim 1, wherein determining a target level among the at least one calligraphy level based on the user calligraphy level of the first user comprises:
and in at least one calligraphy grade of each calligraphy user corresponding to the target font type, taking the calligraphy grade higher than or equal to the calligraphy grade of the user as the target grade.
3. The method according to claim 1 or 2, before the determining, according to the handwriting characteristic information, at least one second user matching the handwriting characteristic information among pre-stored calligraphic users, further comprising:
acquiring pre-stored handwriting characteristic information of each calligraphy user;
clustering the pre-stored handwriting characteristic information of each calligraphy user to obtain a plurality of calligraphy user groups, wherein each calligraphy user group comprises at least one calligraphy user, and each calligraphy user group corresponds to one font type;
correspondingly, the determining, according to the handwriting characteristic information, at least one second user matching with the handwriting characteristic information among pre-stored calligraphy users includes:
according to the handwriting characteristic information, determining a handwriting user group matched with the handwriting characteristic information in the plurality of handwriting user groups;
and taking the calligraphy users in the calligraphy user group matched with the handwriting characteristic information as second users.
4. A calligraphy friend-making information recommendation device is characterized by comprising:
the image acquisition module is used for acquiring a calligraphy image of a first user;
the characteristic extraction module is used for acquiring handwriting characteristic information of the first user according to the calligraphy image of the first user;
the user matching module is used for determining at least one second user matched with the handwriting characteristic information from pre-stored calligraphy users according to the handwriting characteristic information;
the recommendation module is used for sending calligraphy friend-making recommendation information to the first user according to the user information and the latest position information of each second user;
the handwriting characteristic information comprises font information; the user matching module is used for acquiring at least one pre-stored font type corresponding to the calligraphy user; obtaining a target font type matched with the font information from the at least one font type; determining at least one second user matched with the handwriting characteristic information in the calligraphy users corresponding to the target font type;
the handwriting characteristic information also comprises a user calligraphy grade; the user matching module is used for acquiring at least one calligraphy grade of each calligraphy user corresponding to the target font type; determining a target grade in the at least one calligraphy grade according to the user calligraphy grade of the first user; and in the calligraphic users corresponding to the target font type, taking the calligraphic user corresponding to the target grade as at least one second user matched with the handwriting characteristic information.
5. The apparatus of claim 4, wherein the user matching module is configured to use, as the target level, the calligraphy level higher than or equal to the user calligraphy level among at least one calligraphy level of each calligraphy user corresponding to the target font type.
6. The apparatus of claim 4 or 5, further comprising:
the font grouping module is used for acquiring the pre-stored handwriting characteristic information of each handwriting user before the user matching module determines at least one second user matched with the handwriting characteristic information in the pre-stored handwriting users according to the handwriting characteristic information; clustering the pre-stored handwriting characteristic information of each calligraphy user to obtain a plurality of calligraphy user groups, wherein each calligraphy user group comprises at least one calligraphy user, and each calligraphy user group corresponds to one font type;
correspondingly, the user matching module is used for determining the calligraphic user group matched with the handwriting characteristic information in the plurality of calligraphic user groups according to the handwriting characteristic information; and taking the calligraphy users in the calligraphy user group matched with the handwriting characteristic information as second users.
7. An electronic device, comprising: a memory, a processor, and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the calligraphic friend-making information recommendation method according to any one of claims 1 to 3.
8. A readable storage medium, wherein a computer program is stored in the readable storage medium, and when the computer program is executed by a processor, the computer program is used for implementing the method for recommending calligraphy friend-making information according to any one of claims 1 to 3.
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