CN111859122A - Method and device for recommending medical and cosmetic products, electronic equipment and readable storage medium - Google Patents
Method and device for recommending medical and cosmetic products, electronic equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a method and a device for recommending medical and aesthetic products, electronic equipment and a readable storage medium, and relates to the technical field of artificial intelligence, computer vision and image processing. The implementation scheme adopted when recommending medical and cosmetic products is as follows: acquiring data to be identified input by a user, wherein the data to be identified is one of an image and a video; generating user demand information according to the data to be identified; and determining a target medical and American product recommended to the user according to the demand information and the characteristic information of the user. The application can improve the accuracy of recommending medical and cosmetic products.
Description
Technical Field
The application relates to the technical field of internet, in particular to a method, a device, electronic equipment and a readable storage medium for recommending medical and cosmetic products in the technical field of image processing.
Background
Most of the current recommendation technologies for medical and cosmetic products recommend medical and cosmetic products based on online search behavior of users. However, the online search behavior of the user cannot accurately reflect the real situation of the user. For example, the user searches for spots, but cannot determine what spots are in what positions of the user based on the search information, and thus cannot recommend accurate medical and cosmetic products to the user. Therefore, the existing recommendation technology is weak in orientation capability and low in recommendation accuracy, and if wrong recommendations are generated, the user experience is greatly influenced.
Disclosure of Invention
The technical scheme adopted by the application for solving the technical problem is to provide a method for recommending medical and cosmetic products, which comprises the following steps: acquiring data to be identified input by a user, wherein the data to be identified is one of an image and a video; generating user demand information according to the data to be identified; determining candidate medical and cosmetic products from various medical and cosmetic products by using the requirement information; and determining a target medical and American product recommended to the user according to the demand information and the characteristic information of the user.
The technical scheme that this application adopted in order to solve technical problem provides a device of recommending medical and cosmetic product, includes: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring data to be identified input by a user, and the data to be identified is one of an image and a video; the generating unit is used for generating the requirement information of the user according to the data to be identified; and the recommending unit is used for determining the target medical and beauty products recommended to the user according to the demand information and the characteristic information of the user.
An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above method.
A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the above method.
One embodiment in the above application has the following advantages or benefits: the application can improve the accuracy of recommending medical and cosmetic products. Because the technical means that the real requirements of the user are determined according to the image or video input by the user and the target medical and cosmetic products matched with the real requirements of the user are selected and recommended to the user by combining the characteristic information of the user is adopted, the technical problem of low recommendation accuracy caused by recommending the medical and cosmetic products only through the search information input by the user in the prior art is solved, and the technical effect of improving the recommendation accuracy of the medical and cosmetic products is realized.
Other effects of the above-described alternative will be described below with reference to specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a schematic diagram according to a first embodiment of the present application;
FIG. 2 is a schematic diagram according to a second embodiment of the present application;
FIG. 3 is a schematic illustration according to a third embodiment of the present application;
Fig. 4 is a block diagram of an electronic device for implementing a method for recommending medical and cosmetic products according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram according to a first embodiment of the present application. As shown in fig. 1, the method for recommending medical and cosmetic products of this embodiment may specifically include the following steps:
s101, acquiring data to be identified input by a user, wherein the data to be identified is one of an image and a video;
s102, generating requirement information of a user according to the data to be identified;
s103, determining a target medical and American product recommended to the user according to the demand information and the characteristic information of the user.
According to the method for recommending medical and cosmetic products, the real requirements of the user are determined according to the image or video input by the user, and then the target medical and cosmetic products matched with the real requirements of the user are selected and recommended to the user by combining the characteristic information of the user, so that the technical effects of improving the accuracy and intelligence of medical and cosmetic product recommendation are achieved.
When S101 is executed to acquire data to be identified input by a user, the present embodiment may receive a captured image or video uploaded by the user, or may receive an image or video captured by the user in real time.
After executing S101 to acquire data to be recognized, the present embodiment executes S102 to generate user demand information from the acquired data to be recognized. The requirement information of the user generated by the embodiment is a problem that occurs at a certain position of the body of the user, for example, the problem that the face is speckled, the skin is rough, the canthus is small, and the like.
Before executing S102 to generate the requirement information of the user according to the data to be identified, the present embodiment may further include the following contents: determining whether the acquired data to be identified is valid, namely determining whether the data to be identified is an image or a video related to medical and beauty; if so, continuing to execute the operation of generating the user demand information according to the data to be identified, otherwise, returning the information that the input data is invalid to the user.
When executing S102 to generate the requirement information of the user according to the data to be identified, the following manner may be adopted in the present embodiment: identifying the acquired data to be identified, and determining body positions corresponding to the data to be identified, such as faces, heads, legs and the like; acquiring a standard image corresponding to the determined body position, such as acquiring a standard image of a face, acquiring a standard image of a head, and the like; and comparing the data to be identified with the acquired standard image, and generating the requirement information of the user according to the comparison result, namely, taking the part of the data to be identified, which is different from the standard image, as the requirement information of the user.
It is understood that, when the step S102 of acquiring the standard image corresponding to the determined body position is executed, after determining the information of the age, sex, and the like of the user in the data to be recognized, the present embodiment may acquire the corresponding standard image according to the determined information.
In addition, when S102 is executed to generate the user requirement information according to the data to be recognized, the embodiment may further input the data to be recognized into a recognition model obtained by training in advance, and use an output result of the recognition model as the user requirement information. The recognition model in this embodiment can output the requirement information of the user according to the input image or video.
After the step S102 of generating the requirement information of the user is executed, the step S103 of determining the target medical and cosmetic product recommended to the user according to the generated requirement information and the characteristic information of the user is executed. The medical product in the embodiment can be a medical beautifying cosmetic, and can also be a medical beautifying service, such as hyaluronic acid injection, water light needle, face thinning needle, and the like.
When S103 is executed to determine the target medical product recommended to the user according to the requirement information and the feature information of the user, the following method may be adopted: determining candidate medical and cosmetic products from various medical and cosmetic products according to the demand information; and determining a target medical and cosmetic product from the candidate medical and cosmetic products by combining the characteristic information of the user.
In the embodiment, when candidate medical and cosmetic products are determined from various medical and cosmetic products according to the demand information, the following method can be adopted: acquiring material information of each medical and American product, wherein the acquired material information comprises at least one of introduction information of the medical and American product, mechanism information for providing the medical and American product, case information corresponding to the medical and American product and doctor information of the medical and American product; calculating the matching degree between the demand information and the material information of each medical and American product; and selecting a plurality of medical and cosmetic products as candidate medical and cosmetic products according to the matching degree, for example, selecting the medical and cosmetic products with the matching degree in the front N positions as the candidate medical and cosmetic products, wherein N is a positive integer greater than or equal to 1.
When the matching degree between the demand information and the material information of each medical and American product is calculated, the following method can be adopted: according to the demand information, different first weight values are respectively set for the medical and beauty products, for example, the medical and beauty products corresponding to the serious problem in the demand information are set to be a larger first weight value, and the medical and beauty products corresponding to the non-serious problem in the demand information are set to be a smaller first weight value; and calculating the matching degree between the demand information and the material information of each medical and American product by combining the first weight value corresponding to each medical and American product, namely weighting the matching degree between the demand information and the material information of each medical and American product by using the first weight value.
Therefore, the candidate medical and cosmetic products can be more accurately selected according to the actual situation of the user, so that the selected candidate medical and cosmetic products are more suitable for the current situation of the user, and the accuracy of medical and cosmetic product recommendation is further improved.
In addition, when determining candidate medical and cosmetic products from various medical and cosmetic products according to the demand information, the following method may be adopted: acquiring the detailed demand characteristics of the user according to the generated demand information, such as the size of spots, whether the skin is dry or oily and the like; and determining candidate medical and cosmetic products from the medical and cosmetic products according to the acquired detailed characteristics of the requirements. Therefore, the accuracy of selecting the candidate medical and cosmetic products is improved by acquiring more detailed requirement information of the user.
The candidate medical and cosmetic products can be determined by calculating the matching degree between the detailed characteristics of the requirements and the material information of each medical and cosmetic product.
The embodiment can continuously identify the data to be identified according to the generated requirement information, so as to obtain the requirement detailed characteristics of the user, for example, identify the spot to obtain the size of the spot; and corresponding options can be generated according to the generated requirement information and provided for the user, and the requirement detailed characteristics of the user can be acquired according to the selection of the user, for example, the user is provided with the option of whether the spot is large or small.
After the candidate medical and cosmetic products are determined, the target medical and cosmetic product is determined from the candidate medical and cosmetic products by combining with the characteristic information of the user, and then the target medical and cosmetic product is recommended to the user. The feature information of the user in this embodiment is a user representation showing the features of the user, and includes at least one of consumption information, search information, treatment information, and the like of the user on the medical and cosmetic product.
It can be understood that, if the current user is a user who first performs medical and cosmetic product recommendation, the feature information corresponding to the user may be initial feature information or feature information acquired according to a historical behavior record of the user; if the current user is not the user who first performs medical and cosmetic product recommendation, the feature information corresponding to the user is the feature information updated by the feedback information, wherein the generation process of the feedback information is described below.
That is to say, in the embodiment, after the candidate medical and cosmetic products are determined, the medical and cosmetic product meeting the characteristics of the user is selected from the determined candidate medical and cosmetic products as the target medical and cosmetic product, so that the recommended target medical and cosmetic product can be accepted by the user more easily, and the recommendation accuracy of the medical and cosmetic product is further improved.
When the target medical and cosmetic product is determined from the candidate medical and cosmetic products by combining the characteristic information of the user, the following method can be adopted: according to the feature information of the user, different second weight values are respectively set for the candidate medical and cosmetic products, for example, a larger second weight value is set for the candidate medical and cosmetic product corresponding to the feature information of the user, and a smaller second weight value is set for the candidate medical and cosmetic product not corresponding to the feature information of the user; and selecting a plurality of candidate medical and cosmetic products as target medical and cosmetic products according to the second weighted values corresponding to the candidate medical and cosmetic products, for example, selecting the candidate medical and cosmetic products arranged in front M positions as the target medical and cosmetic products, wherein M is a positive integer greater than or equal to 1.
After the target medical and cosmetic products recommended to the user are determined in step S103, the present embodiment recommends the determined target medical and cosmetic products to the user, for example, each target medical and cosmetic product may be recommended to the user in a manner of being displayed on a screen.
By adopting the method provided by the embodiment, the real requirements of the user are determined according to the image or video input by the user, and then the target medical and cosmetic product matched with the real requirements of the user is selected and recommended to the user by combining the characteristic information of the user, so that the technical effects of improving the accuracy and intelligence of medical and cosmetic product recommendation are achieved.
Fig. 2 is a schematic diagram according to a second embodiment of the present application. As shown in fig. 2, after determining the target medical product recommended to the user, the present embodiment may further include the following steps:
s201, obtaining the selection condition of the user on the target medical and American product;
s202, generating feedback information according to the selection condition;
and S203, updating the characteristic information corresponding to the user by using the feedback information.
That is to say, in this embodiment, after the target medical product recommended to the user is determined, the feature information of the user is updated according to the feedback information generated according to the selection condition of the user, so that when the target medical product is recommended to the user next time, the medical product can be recommended to the user more accurately according to the updated feature information, thereby improving the intelligence of medical product recommendation, and making the recommended medical product more and more conform to the actual condition of the user.
The selection condition obtained in this embodiment may be that the user selects which target medical and cosmetic products are viewed or purchased, and the user does not select which medical and cosmetic products are viewed or purchased, and the like; the feedback information generated according to the selection condition may include price information of the medical and cosmetic product selected by the user, institution information for providing the medical and cosmetic product, doctor information, and the like.
Fig. 3 is a schematic diagram according to a third embodiment of the present application. As shown in fig. 3, the apparatus for recommending a medical product of the present embodiment includes:
the acquiring unit 301 is configured to acquire data to be identified input by a user, where the data to be identified is one of an image and a video;
the generating unit 302 is configured to generate requirement information of a user according to the data to be identified;
the recommending unit 303 is configured to determine a target medical product recommended to the user according to the demand information and the feature information of the user.
The acquiring unit 301 may receive a captured image or video uploaded by a user or an image or video captured by the user in real time when acquiring data to be identified input by the user.
The acquisition unit 301, after acquiring the data to be identified, generates the demand information of the user from the acquired data to be identified by the generation unit 302. The requirement information of the user generated by the generating unit 302 is a problem that occurs at a certain position of the body of the user, such as a spot on the face, a rough skin, a small corner of the eye, and the like.
In addition, before generating the requirement information of the user according to the data to be identified, the generating unit 302 may further include the following: determining whether the acquired data to be identified is valid; if so, continuing to execute the operation of generating the user demand information according to the data to be identified, otherwise, returning the information that the input data is invalid to the user.
When the generating unit 302 generates the requirement information of the user according to the data to be identified, the following method may be adopted: identifying the acquired data to be identified, and determining the body position corresponding to the data to be identified; acquiring a standard image corresponding to the determined body position; and comparing the data to be identified with the acquired standard image, and generating the requirement information of the user according to the comparison result.
It is to be understood that, when acquiring the standard image corresponding to the determined body position, the generating unit 302 may also acquire the corresponding standard image according to the determined information such as age, sex, etc. of the user in the data to be recognized after determining the information.
In addition, when generating the user requirement information from the data to be recognized, the generating unit 302 may further input the data to be recognized into a recognition model trained in advance, and use an output result of the recognition model as the user requirement information. The recognition model in the generation unit 302 can output the requirement information of the user according to the input image or video.
After the generation unit 302 generates the requirement information of the user, the recommendation unit 303 determines the target medical and cosmetic product recommended to the user according to the generated requirement information and the characteristic information of the user. The medical and beauty products in the recommendation unit 303 can be medical and beauty cosmetics, and can also be medical and beauty services, such as hyaluronic acid injection, water light needle, face thinning needle, and the like.
When determining the target medical and cosmetic product recommended to the user according to the requirement information and the characteristic information of the user, the recommending unit 303 may adopt the following method: determining candidate medical and cosmetic products from various medical and cosmetic products according to the demand information; and determining a target medical and cosmetic product from the candidate medical and cosmetic products by combining the characteristic information of the user.
When the recommending unit 303 determines candidate medical and cosmetic products from various medical and cosmetic products according to the demand information, the following method may be adopted: acquiring material information of each medical product; calculating the matching degree between the demand information and the material information of each medical and American product; and selecting a plurality of medical and cosmetic products as candidate medical and cosmetic products according to the matching degree.
When calculating the matching degree between the requirement information and the material information of each medical and American product, the recommending unit 303 may adopt the following method: setting different first weighted values for the medical and American products according to the demand information; and calculating the matching degree between the demand information and the material information of each medical and American product by combining the first weighted values corresponding to each medical and American product.
In addition, when the recommending unit 303 determines candidate medical and cosmetic products from various medical and cosmetic products according to the demand information, the following method may be adopted: acquiring the detailed demand characteristics of the user according to the generated demand information; and determining candidate medical and cosmetic products from the medical and cosmetic products according to the acquired detailed characteristics of the requirements. The recommending unit 303 may determine the candidate medical and cosmetic products by calculating a matching degree between the detailed characteristics of the demand and the material information of each medical and cosmetic product.
The recommending unit 303 may continue to identify the data to be identified according to the generated demand information, thereby obtaining the demand detailed characteristics of the user; the recommending unit 303 may also generate a corresponding option according to the generated requirement information, and provide the corresponding option to the user, and obtain the requirement detailed characteristics of the user according to the selection of the user.
After determining the candidate medical and cosmetic products, the recommending unit 303 determines the target medical and cosmetic product from the candidate medical and cosmetic products by combining the characteristic information of the user, and further recommends the target medical and cosmetic product to the user. The feature information of the user in the recommendation unit 303 is a user representation showing the features of the user, and includes at least one of consumption information, search information, treatment information, and the like of the user on the medical and cosmetic product.
When the recommending unit 303 determines the target medical and cosmetic product from the candidate medical and cosmetic products in combination with the feature information of the user, the following method may be adopted: respectively setting different second weighted values for the candidate medical and American products according to the characteristic information of the user; and selecting a plurality of candidate medical and American products as target medical and American products according to the second weighted values corresponding to the candidate medical and American products.
The recommending unit 303 recommends the determined target medical and cosmetic product to the user after determining the target medical and cosmetic product recommended to the user.
The present embodiment may further include a feedback unit 304, configured to, after the recommendation unit 303 determines the target medical product recommended to the user, perform: acquiring the selection condition of a user on a target medical and American product; generating feedback information according to the selection condition; and updating the characteristic information corresponding to the user by using the feedback information.
That is to say, after the recommending unit 303 determines the recommendation of the target medical and cosmetic product recommended to the user, the feedback unit 305 updates the feature information of the user according to the feedback information generated according to the selection condition of the user, so that when the target medical and cosmetic product is recommended to the user next time, the recommending unit 304 can recommend the medical and cosmetic product to the user more accurately according to the updated feature information, thereby improving the intelligence of the medical and cosmetic product recommendation, and making the recommended medical and cosmetic product more and more conform to the actual condition of the user.
The selection condition obtained by the feedback unit 304 may be that the user selects which target medical and cosmetic products are viewed or purchased, that the user does not select to view or purchase which medical and cosmetic products, and the like; the feedback information generated by the feedback unit 304 according to the selection condition may include price information of the medical and cosmetic product selected by the user, institution information for providing the medical and cosmetic product, doctor information, and the like.
According to an embodiment of the present application, an electronic device and a computer-readable storage medium are also provided.
Fig. 4 is a block diagram of an electronic device according to an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 4, the electronic apparatus includes: one or more processors 401, memory 402, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 4, one processor 401 is taken as an example.
The memory 402, as a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the method of recommending a medical and cosmetic product in the embodiment of the present application (for example, the acquiring unit 301, the generating unit 302, the recommending unit 303, and the feedback unit 304 shown in fig. 3). The processor 401 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 402, namely, implements the method for recommending medical and cosmetic products in the above method embodiments.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the electronic device, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 402 optionally includes memory located remotely from processor 401, which may be connected over a network to an electronic device that recommends methods for medical and cosmetic products. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the method of recommending a medical product may further include: an input device 403 and an output device 404. The processor 401, the memory 402, the input device 403 and the output device 404 may be connected by a bus or other means, and fig. 4 illustrates an example of a connection by a bus.
The input device 403 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus of the method of recommending a medical and cosmetic product, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, and the like. The output devices 404 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the real requirements of the user are determined through the image or the video input by the user, and then the target medical and cosmetic products matched with the real requirements of the user are selected and recommended to the user by combining the characteristic information of the user, so that the accuracy of medical and cosmetic product recommendation is improved.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and the present invention is not limited herein.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (20)
1. A method of recommending a medical product, comprising:
acquiring data to be identified input by a user, wherein the data to be identified is one of an image and a video;
generating user demand information according to the data to be identified;
and determining a target medical and American product recommended to the user according to the demand information and the characteristic information of the user.
2. The method of claim 1, wherein the generating requirement information of the user according to the data to be identified comprises:
Identifying the data to be identified, and determining a body position corresponding to the data to be identified;
acquiring a standard image corresponding to the determined body position;
and comparing the data to be identified with the standard image, and generating the requirement information of the user according to the comparison result.
3. The method of claim 1, wherein the determining, according to the requirement information and the feature information of the user, a target medical product recommended to the user comprises:
determining candidate medical and cosmetic products from various medical and cosmetic products according to the demand information;
and determining a target medical and cosmetic product from the candidate medical and cosmetic products by combining the characteristic information of the user.
4. The method according to claim 3, wherein the determining candidate medical and cosmetic products from the medical and cosmetic products according to the requirement information comprises:
acquiring material information of each medical product;
calculating the matching degree between the demand information and the material information of each medical and American product;
and selecting a plurality of medical and cosmetic products as the candidate medical and cosmetic products according to the matching degree obtained by calculation.
5. The method of claim 4, wherein the calculating the matching degree between the requirement information and the material information of each medical and cosmetic product comprises:
Setting a first weight value for each medical and American product according to the demand information;
and calculating the matching degree between the demand information and the material information of each medical and American product by combining the first weighted value corresponding to each medical and American product.
6. The method according to claim 3, wherein the determining candidate medical and cosmetic products from the medical and cosmetic products according to the requirement information comprises:
acquiring the detailed demand characteristics of the user according to the demand information;
and determining candidate medical and cosmetic products from the medical and cosmetic products according to the detailed characteristics of the requirements.
7. The method of claim 3, wherein the determining a target medical product from the candidate medical products in combination with the characteristic information of the user comprises:
respectively setting a second weight value for each candidate medical and American product according to the characteristic information of the user;
and selecting a plurality of candidate medical and American products as the target medical and American products according to the second weighted values corresponding to the candidate medical and American products.
8. The method of claim 1, further comprising:
recommending the target medical and beauty products to the user after determining the target medical and beauty products recommended to the user.
9. The method of claim 1, further comprising,
After determining a target medical product recommended to the user, acquiring the selection condition of the user on the target medical product;
generating feedback information according to the selection condition;
and updating the characteristic information corresponding to the user by using the feedback information.
10. An apparatus for recommending a medical product, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring data to be identified input by a user, and the data to be identified is one of an image and a video;
the generating unit is used for generating the requirement information of the user according to the data to be identified;
and the recommending unit is used for determining the target medical and beauty products recommended to the user according to the demand information and the characteristic information of the user.
11. The apparatus according to claim 10, wherein the generating unit, when generating the requirement information of the user according to the data to be identified, specifically performs:
identifying the data to be identified, and determining a body position corresponding to the data to be identified;
acquiring a standard image corresponding to the determined body position;
and comparing the data to be identified with the standard image, and generating the requirement information of the user according to the comparison result.
12. The device of claim/0, wherein the recommending unit, when determining the target medical and cosmetic product recommended to the user according to the demand information and the characteristic information of the user, specifically executes:
Determining candidate medical and cosmetic products from various medical and cosmetic products according to the demand information;
and determining a target medical and cosmetic product from the candidate medical and cosmetic products by combining the characteristic information of the user.
13. The apparatus according to claim 12, wherein the recommending unit, when determining candidate medical and cosmetic products from the medical and cosmetic products according to the requirement information, specifically performs:
acquiring material information of each medical product;
calculating the matching degree between the demand information and the material information of each medical and American product;
and selecting a plurality of medical and American products as candidate medical and American products according to the matching degree obtained by calculation.
14. The apparatus according to claim 13, wherein the recommending unit, when calculating the matching degree between the requirement information and the material information of each medical and cosmetic product, specifically performs:
setting a first weight value for each medical and American product according to the demand information;
and calculating the matching degree between the demand information and the material information of each medical and American product by combining the first weighted value corresponding to each medical and American product.
15. The apparatus according to claim 12, wherein the recommending unit, when determining candidate medical and cosmetic products from the medical and cosmetic products according to the requirement information, specifically performs:
Acquiring the detailed demand characteristics of the user according to the demand information;
and determining candidate medical and cosmetic products from the medical and cosmetic products according to the detailed characteristics of the requirements.
16. The apparatus according to claim 12, wherein the recommending unit, when determining the target medical and cosmetic product from the candidate medical and cosmetic products in combination with the characteristic information of the user, specifically performs:
respectively setting a second weight value for each candidate medical and American product according to the characteristic information of the user;
and selecting a plurality of candidate medical and American products as the target medical and American products according to the second weighted values corresponding to the candidate medical and American products.
17. The apparatus of claim 10, the recommending unit further configured to perform:
recommending the target medical and beauty products to the user after determining the target medical and beauty products recommended to the user.
18. The apparatus of claim 8, further comprising a feedback unit,
the method comprises the steps of obtaining the selection condition of a user on a target medical product recommended to the user after the target medical product is determined;
generating feedback information according to the selection condition;
and updating the characteristic information corresponding to the user by using the feedback information.
19. An electronic device, comprising:
At least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.
20. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-9.
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|---|---|---|---|
| CN202010623555.7A CN111859122A (en) | 2020-06-30 | 2020-06-30 | Method and device for recommending medical and cosmetic products, electronic equipment and readable storage medium |
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| CN202010623555.7A CN111859122A (en) | 2020-06-30 | 2020-06-30 | Method and device for recommending medical and cosmetic products, electronic equipment and readable storage medium |
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