CN112819548A - User portrait generation method and device, readable storage medium and electronic equipment - Google Patents
User portrait generation method and device, readable storage medium and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to a user portrait generation method and device, a readable storage medium and electronic equipment, and relates to the technical field of big data processing, wherein the method comprises the following steps: acquiring data to be recognized shot by a face recognition camera, and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user; acquiring life track information of a target user according to the identity information, and analyzing the life track information to obtain first user information of the target user on an interest dimension; acquiring second user information of a target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating a user portrait of the target user according to the first user information, the second user information and the third user information; and inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user. The present disclosure improves the accuracy of user portrayal.
Description
Technical Field
The embodiment of the invention relates to the technical field of big data processing, in particular to a user portrait generating method, a user portrait generating device, a computer readable storage medium and electronic equipment.
Background
The aging of the population has become a normal state of society today. In order to solve the aging problem which is continuously increased, various aging service modes are proposed one after another, and personalized long-term care service and life support are provided for the old who partially or completely loses the self-care ability of life, so that the life quality of the old is improved, and the old is assisted to better and independently live.
The long-term nursing service and the life support for the old need to provide proper, continuous and personalized short-term or long-term health care service for the old based on the actual life situation, psychological situation and health condition of the old under the guidance of professional knowledge related to medical care and nursing and the like, so as to improve the self-care ability of the old or assist the old to better and independently live. Obviously, how to define and quantify the personalized requirements of the elderly and how to design appropriate and matched services are the basis and the key point in the long-term care service and support problem for the elderly.
However, in the current care data, due to various reasons such as organization boundaries and data privacy, the problems of small data quantity, low quality, large data deviation and the like exist, so that the accuracy of the generated user portrait is low; on the other hand, the corresponding health service package cannot be automatically matched for the user according to the user portrait.
Therefore, it is desirable to provide a new user representation generation method and apparatus.
It is to be noted that the information invented in the above background section is only for enhancing the understanding of the background of the present invention, and therefore, may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present invention is directed to a user portrait generating method, a user portrait generating apparatus, a computer-readable storage medium, and an electronic device, which overcome at least some of the problems of low user portrait accuracy due to limitations and disadvantages of the related art.
According to one aspect of the present disclosure, there is provided a user representation generation method, including:
acquiring data to be recognized shot by a face recognition camera, and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user;
acquiring life track information of the target user according to the identity information, and analyzing the life track information to obtain first user information of the target user on an interest dimension;
acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating a user portrait of the target user according to the first user information, the second user information and the third user information;
inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, and pushing the health service package to a client corresponding to the target user so that the target user can check the health service package.
In an exemplary embodiment of the present disclosure, the user representation generating method further includes:
acquiring a current health service product and a plurality of standard medical risk assessment tables with different dimensions, and extracting attribute fields included in each standard medical risk assessment table and attribute values corresponding to the attribute fields;
generating a plurality of evaluation standards of different dimensions according to the attribute fields and the attribute values, and establishing a mapping relation between the current health service product and the evaluation standards of the different dimensions;
generating the rule base business model based on the current health service product, the evaluation criteria of the plurality of different dimensions, and the mapping relationship.
In an exemplary embodiment of the present disclosure, the plurality of different-dimension standard medical risk assessment tables includes a plurality of fall risk assessment tables, pressure sore risk assessment tables, nutritional risk assessment tables, activities of daily living assessment tables, delirium risk assessment tables, loss risk assessment tables, and suicide risk assessment tables.
In an exemplary embodiment of the present disclosure, acquiring life track information of the target user according to the identity information, analyzing the life track information, and obtaining first user information of the target user in an interest dimension, includes:
acquiring life track information uploaded by a track positioning device worn by the target user according to the identity information;
matching the life track information in a preset point cloud map to obtain a target place included in the life track information;
and when the frequency of the target place appearing in the life track information is larger than a preset threshold value, generating first user information of the target user on the interest dimension according to the category of the target place.
In an exemplary embodiment of the present disclosure, obtaining second user information of the target user in a health dimension according to the identity information includes:
acquiring disease information and daily diet information of the target user according to the identity information;
evaluating a plurality of different dimensions of the target user according to the disease information and the daily diet information to obtain health evaluation information;
and generating second user information of the target user on the health dimension according to the health assessment information.
In an exemplary embodiment of the present disclosure, obtaining third user information of the target user in a daily behavior dimension according to the identity information includes:
acquiring bill consumption behavior data of the target user within a preset time period according to the identity information;
analyzing the bill consumption behavior data to obtain the consumption category of the target user in the preset time period;
and generating third user information of the target user on the daily behavior dimension according to the consumption categories and the specific expense information on each consumption category.
In an exemplary embodiment of the present disclosure, inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, includes:
calculating the similarity between the user portrait and a plurality of evaluation standards with different dimensions included in the preset rule base business model, and sequencing the similarity;
determining a target evaluation standard with the similarity larger than a preset threshold according to the similarity sorting result, and acquiring a current health service product associated with the target evaluation standard according to the mapping relation;
and determining a target health service product from the current health service products according to the first user information and the third user information included in the user portrait, and generating a health service package matched with the target user according to the target health service product.
According to an aspect of the present disclosure, there is provided a user representation generation apparatus including:
the identity information determining module is used for acquiring data to be recognized shot by the face recognition camera and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user;
the information analysis module is used for acquiring life track information of the target user according to the identity information and analyzing the life track information to obtain first user information of the target user in an interest dimension;
the user portrait generation module is used for acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating user portrait of the target user according to the first user information, the second user information and the third user information;
and the service package matching module is used for inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, and pushing the health service package to a client corresponding to the target user so that the target user can check the health service package.
According to an aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a user representation generation method as recited in any one of the above.
According to an aspect of the present disclosure, there is provided an electronic device including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform any of the user representation generation methods described above via execution of the executable instructions.
On one hand, the user portrait generation method provided by the embodiment of the invention obtains the identity information of a target user by acquiring the data to be recognized shot by a face recognition camera and recognizing the data to be recognized in a preset photo library; then acquiring life track information of the target user according to the identity information, and analyzing the life track information to obtain first user information of the target user on the interest dimension; acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating a user portrait of the target user according to the first user information, the second user information and the third user information; finally, the user portrait is input into a preset rule base business model, a health service package matched with a target user is obtained, and the health service package is pushed to a client corresponding to the target user, so that the target user can check the health service package, the user information in multiple dimensions can be obtained according to the identity information of the user, and the user portrait is generated according to the user information in each dimension, and therefore the problem that the generated user portrait is low in accuracy due to the fact that the current care and care data are small in data quantity, low in quality, large in data deviation and the like due to the fact that the mechanism boundary, data privacy and the like exist is solved, and the accuracy of the user portrait is improved; on the other hand, the user portrait can be input into a preset rule base business model to obtain a health service package matched with the target user, so that the problem that the corresponding health service package cannot be automatically matched for the user according to the user portrait is solved; on the other hand, the user portrait can be actively generated based on the user information with different dimensions, so that the health service package is matched for the user according to the user portrait, the problem that the accuracy of the recommended health service package is low due to the fact that the actual conditions of the users need to be manually consulted, and the health service package is recommended for the user according to the consultation result is solved, the satisfaction degree of the user is improved, and the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 schematically illustrates a flow chart of a user representation generation method according to an example embodiment of the present disclosure.
FIG. 2 schematically illustrates a flow chart of a method of generating a rule base business model according to an example embodiment of the present disclosure.
Fig. 3 schematically shows an example diagram of a fall risk assessment table according to an example embodiment of the present disclosure.
Fig. 4 schematically illustrates an example diagram of a pressure wound risk assessment table according to an example embodiment of the present disclosure.
Fig. 5 schematically illustrates an exemplary diagram of a nutritional risk assessment table according to an exemplary embodiment of the present disclosure.
Fig. 6 schematically illustrates an example diagram of an Activity of Daily Living (ADL) assessment table according to an example embodiment of the present disclosure.
Figure 7 schematically shows an exemplary diagram of a delirium risk assessment table according to an exemplary embodiment of the present disclosure.
Fig. 8 schematically illustrates an exemplary diagram of a loss risk assessment table according to an exemplary embodiment of the present disclosure.
Fig. 9 schematically illustrates an exemplary diagram of a suicide risk assessment table according to an exemplary embodiment of the present disclosure.
FIG. 10 schematically illustrates a block diagram of a user representation generation apparatus, according to an example embodiment of the present disclosure.
FIG. 11 schematically illustrates an electronic device for implementing the user representation generation method described above, according to an example embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the invention.
Furthermore, the drawings are merely schematic illustrations of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The example embodiment first provides a user representation generation method, which may be run on a server, a server cluster or a cloud server; of course, those skilled in the art may also operate the method of the present invention on other platforms as needed, and this is not particularly limited in this exemplary embodiment. Referring to FIG. 1, the user representation generation method may include the steps of:
s110, acquiring data to be recognized shot by a face recognition camera, and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user;
s120, acquiring life track information of the target user according to the identity information, and analyzing the life track information to obtain first user information of the target user in an interest dimension;
s130, acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating a user portrait of the target user according to the first user information, the second user information and the third user information;
and S140, inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, and pushing the health service package to a client corresponding to the target user so that the target user can check the health service package.
In the user portrait generation method, on one hand, the identity information of a target user is obtained by acquiring the data to be recognized shot by the face recognition camera and recognizing the data to be recognized in a preset photo library; then acquiring life track information of the target user according to the identity information, and analyzing the life track information to obtain first user information of the target user on the interest dimension; acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating a user portrait of the target user according to the first user information, the second user information and the third user information; finally, the user portrait is input into a preset rule base business model, a health service package matched with a target user is obtained, and the health service package is pushed to a client corresponding to the target user, so that the target user can check the health service package, the user information in multiple dimensions can be obtained according to the identity information of the user, and the user portrait is generated according to the user information in each dimension, and therefore the problem that the generated user portrait is low in accuracy due to the fact that the current care and care data are small in data quantity, low in quality, large in data deviation and the like due to the fact that the mechanism boundary, data privacy and the like exist is solved, and the accuracy of the user portrait is improved; on the other hand, the user portrait can be input into a preset rule base business model to obtain a health service package matched with the target user, so that the problem that the corresponding health service package cannot be automatically matched for the user according to the user portrait is solved; on the other hand, the user portrait can be actively generated based on the user information with different dimensions, so that the health service package is matched for the user according to the user portrait, the problem that the accuracy of the recommended health service package is low due to the fact that the actual conditions of the users need to be manually consulted, and the health service package is recommended for the user according to the consultation result is solved, the satisfaction degree of the user is improved, and the user experience is improved.
Hereinafter, a user portrait generation method according to an exemplary embodiment of the present disclosure will be explained and explained in detail with reference to the drawings.
First, an application scenario of the present disclosure is explained and explained. The user portrait generation method is applied to recommending a proper health service pack for the old people involved in the aged care service mechanism developed by an enterprise. In the nursing service mechanism, nursing personnel, perfect medical facilities, entertainment facilities needed by old people and the like are included, so that user information of the old people in various aspects, such as disease information, physical sign information, interesting activities and the like, can be comprehensively collected, and the problems that the quantity of data is small, the quality is low, the data deviation is large and the like due to the mechanism boundary, the data privacy and the like of the current nursing data are avoided; meanwhile, a plurality of user information with different dimensionalities can be acquired, so that the accuracy of the generated user portrait is higher; meanwhile, different product service packages can be recommended for the old by combining with the service products developed by the old care service mechanism, and the user experience of the old is further improved.
Next, the rule base business model to which the present disclosure relates is explained and explained. Specifically, referring to fig. 2, the method for generating a rule base business model may include the following steps:
step S210, acquiring a current health service product and a plurality of standard medical risk assessment tables with different dimensions, and extracting attribute fields included in each standard medical risk assessment table and attribute values corresponding to the attribute fields;
step S220, generating a plurality of evaluation standards with different dimensions according to the attribute fields and the attribute values, and establishing a mapping relation between the current health service product and the evaluation standards with the different dimensions;
step S230, generating the rule base business model based on the current health service product, the evaluation criteria of the plurality of different dimensions, and the mapping relationship.
Among them, the standard medical risk assessment tables with different dimensions may include a fall risk assessment table (specifically, see fig. 3), a pressure sore risk assessment table (specifically, see fig. 4), a nutrition risk assessment table (specifically, see fig. 5), a daily life activity assessment table (specifically, see fig. 6), a delirium risk assessment table (specifically, see fig. 7), a loss risk assessment table (specifically, see fig. 8), a suicide risk assessment table (specifically, see fig. 9), and so on.
Hereinafter, steps S210 to S230 will be explained and explained with reference to fig. 3 to 9. Specifically, firstly, the health service products currently owned by the elderly care service institution can be acquired from a database of the elderly care service institution, a falling risk assessment table, a pressure sore risk assessment table, a nutrition risk assessment table, a daily life activity assessment table, a delirium risk assessment table, a loss risk assessment table and a suicide risk assessment table are acquired from a Hadoop cluster or a Hive cluster, and then attribute fields and attribute values in the risk assessment tables are extracted; the attribute field may be an item included in each evaluation table, and the attribute value is a specific score condition, which is not described in detail herein; secondly, generating a plurality of evaluation criteria of different dimensions according to the attribute fields and the attribute values, wherein the evaluation criteria can comprise that if the risk evaluation score is dropped to reach a certain threshold value, the evaluation criteria are evaluated to have a risk; as another example, if the pressure sore risk assessment score reaches a certain threshold, it is assessed as having a pressure sore risk; other evaluation standards are similar to the above, and are not described in detail; further, if a certain risk exists, the corresponding service package can be matched, and then a rule base business model is established. Based on the method, the accuracy of the rule base business model can be further improved, and the health service products currently owned by the care service institution can be combined with the risk evaluation standards, so that the required health service products can be established according to the risk evaluation standards, and the dynamic update of the health service products is realized.
The user representation generation method of the exemplary embodiment of the present disclosure is explained and explained below in conjunction with a rule base business model.
In step S110, data to be recognized captured by the face recognition camera is obtained, and the data to be recognized is recognized in a preset photo library to obtain identity information of the target user.
Specifically, a plurality of face recognition cameras can be arranged in the region range of the endowment care service mechanism, and the face recognition cameras can automatically upload the shot face pictures to the database of the endowment care service mechanism; when the health service package needs to be recommended for one or more old people, the data to be identified in a period of time can be obtained from the data, the data to be identified and the photos in the resident photo library are subjected to feature comparison through an image identification algorithm, and then a target user, namely one or more old people needing to be recommended with the health service package, is obtained according to a feature comparison result. It should be added here that the specific image recognition algorithm may be implemented by a fast R-cnn algorithm, or may be implemented by other algorithms, which is not particularly limited in this example.
In step S120, life trajectory information of the target user is obtained according to the identity information, and the life trajectory information is analyzed to obtain first user information of the target user in the interest dimension.
In this example embodiment, first, life trajectory information uploaded through a trajectory positioning device worn by the target user is obtained according to the identity information; secondly, matching the life track information in a preset point cloud map to obtain a target place included in the life track information; and finally, when the frequency of the target place appearing in the life track information is determined to be greater than a preset threshold value, generating first user information of the target user in the interest dimension according to the category of the target place.
For example, when the target user is a resident a, life track information may be obtained according to identity information of the resident a (for example, the unique code or the identification number of the resident at the care and care service organization may be used), wherein the track positioning device has a binding relationship with the identity information, and one track positioning device only binds one piece of identity information; the track positioning device may include an emergency call device with track positioning or a bluetooth indoor positioning Beacon device, which is not particularly limited in this example; meanwhile, after the life track information is obtained, the life track information can be matched in a point cloud map corresponding to the endowment care service mechanism, so that places or places where the target user frequently goes can be obtained, and the first user information of the user in the interest dimension can be obtained.
In step S130, second user information of the target user in the health dimension and third user information in the daily behavior dimension are obtained according to the identity information, and a user portrait of the target user is generated according to the first user information, the second user information and the third user information.
In this exemplary embodiment, first, obtaining second user information of the target user in the health dimension according to the identity information may specifically include: firstly, acquiring disease information and daily diet information of the target user according to the identity information; secondly, evaluating a plurality of different dimensions of the target user according to the disease information and the daily diet information to obtain health evaluation information; and finally, generating second user information of the target user on the health dimension according to the health assessment information.
Specifically, the daily diet information of the user can be obtained according to the document record of the target user by the caregiver, and the disease information of the target user can be obtained from the database of the healthcare service institution according to the identity information of the target user (the disease information can include the disease information before entering the healthcare service institution and the disease information after entering the healthcare service institution, wherein the previous disease information is acquired and stored in the database when the target user enters the healthcare service institution, and the later disease information can be recorded and uploaded to the database by the medical staff), and then the target user is evaluated in a plurality of different dimensions according to the disease information and the daily diet information of the target user within a period of time (the specific evaluation dimension can refer to the evaluation standard, no further description is given here), and then the second user information is obtained.
In the foregoing example embodiment, secondly, obtaining, according to the identity information, third user information of the target user in a daily behavior dimension may specifically include: firstly, acquiring bill consumption behavior data of the target user in a preset time period according to the identity information; secondly, analyzing the bill consumption behavior data to obtain the consumption category of the target user in the preset time period; and finally, generating third user information of the target user on the daily behavior dimension according to the consumption categories and the specific expense information on each consumption category.
Further, after the first user information, the second user information, and the third user information are obtained, a user representation of the target user may be generated based on the first user information, the second user information, and the third user information.
In step S140, the user portrait is input into a preset rule base business model to obtain a health service package matched with the target user, and the health service package is pushed to a client corresponding to the target user, so that the target user views the health service package.
In this example embodiment, first, the user representation is input into a preset rule base business model to obtain a health service package matched with the target user, which may specifically include: firstly, calculating the similarity between the user portrait and a plurality of evaluation standards with different dimensions included in the preset rule base business model, and sequencing the similarity; secondly, determining a target evaluation standard with the similarity larger than a preset threshold according to the similarity sorting result, and acquiring a current health service product associated with the target evaluation standard according to the mapping relation; and finally, according to the first user information and the third user information included in the user portrait, determining a target health service product from the current health service products, and generating a health service package matched with the target user according to the target health service product.
Specifically, the obtained health service package can be shown in table 1 below:
TABLE 1
It should be noted that, in the process of determining the target health service product, the interest of the user (the first user information) and the specific consumption level of the user (the third user information) are fully considered, and therefore, the accuracy of the target health service product can be further improved.
Further, after the health service package is obtained, the health service package can be pushed to the client corresponding to the target user, so that the target user can check the health service package, the target user can select a health service product according to the health service package, the purpose of improving user experience is achieved, and meanwhile, the economic benefit of a home medical care service mechanism can be achieved.
Hereinafter, a specific application process of the user representation generation method according to the exemplary embodiment of the present disclosure will be explained and explained with reference to a specific example.
For example, resident a, who has diabetes, often goes to the reading room after entering the elderly community. The service personnel and the residents know that the residents are interested in manual activities such as paper cutting in the communication process, fall risk assessment is carried out on the residents A, and the assessment result is high risk. A paper-cut training class is set up in the month of the community, and a special service bag for preventing falling down is provided. When the resident A checks the bill at the terminal C, the activity of the paper-cut training class and the fall prevention characteristic service pack can be checked.
Based on the method, the user portrait generation method provided by the disclosure can automatically sense the resident life track from the intelligent device, and the service personnel care records, resident disease health data, resident bill consumption data and other multi-dimensional information are matched with the product applicable knowledge base, so that the potential demands of residents are effectively mined.
According to an aspect of the present disclosure, there is provided a user representation generation apparatus including:
the identity information determining module is used for acquiring data to be recognized shot by the face recognition camera and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user;
the information analysis module is used for acquiring life track information of the target user according to the identity information and analyzing the life track information to obtain first user information of the target user in an interest dimension;
the user portrait generation module is used for acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating user portrait of the target user according to the first user information, the second user information and the third user information;
and the service package matching module is used for inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, and pushing the health service package to a client corresponding to the target user so that the target user can check the health service package.
The present disclosure also provides a user portrait generation apparatus. Referring to FIG. 10, the user representation generation apparatus may include an identity information determination module 1010, an information analysis module 1020, a user representation generation module 1030, and a service package matching module 1040. Wherein:
the identity information determining module 1010 may be configured to acquire data to be recognized, which is captured by a face recognition camera, and recognize the data to be recognized in a preset photo library to obtain identity information of a target user;
the information analysis module 1020 may be configured to obtain life trajectory information of the target user according to the identity information, and analyze the life trajectory information to obtain first user information of the target user in an interest dimension;
the user portrait generating module 1030 may be configured to obtain second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generate a user portrait of the target user according to the first user information, the second user information, and the third user information;
the service package matching module 1040 is configured to input the user representation into a preset rule base business model, obtain a health service package matched with the target user, and push the health service package to a client corresponding to the target user, so that the target user views the health service package.
In an exemplary embodiment of the present disclosure, the user representation generating apparatus further includes:
the attribute extraction module can be used for acquiring current health service products and a plurality of standard medical risk assessment tables with different dimensions, and extracting attribute fields included in each standard medical risk assessment table and attribute values corresponding to the attribute fields;
the mapping relation establishing module can be used for generating a plurality of evaluation standards with different dimensions according to the attribute fields and the attribute values and establishing mapping relations between the current health service product and the evaluation standards with the different dimensions;
a business model generating module, configured to generate the rule base business model based on the current health service product, the evaluation criteria of the plurality of different dimensions, and the mapping relationship.
In an exemplary embodiment of the present disclosure, the plurality of different-dimension standard medical risk assessment tables includes a plurality of fall risk assessment tables, pressure sore risk assessment tables, nutritional risk assessment tables, activities of daily living assessment tables, delirium risk assessment tables, loss risk assessment tables, and suicide risk assessment tables.
In an exemplary embodiment of the present disclosure, acquiring life track information of the target user according to the identity information, analyzing the life track information, and obtaining first user information of the target user in an interest dimension, includes:
acquiring life track information uploaded by a track positioning device worn by the target user according to the identity information;
matching the life track information in a preset point cloud map to obtain a target place included in the life track information;
and when the frequency of the target place appearing in the life track information is larger than a preset threshold value, generating first user information of the target user on the interest dimension according to the category of the target place.
In an exemplary embodiment of the present disclosure, obtaining second user information of the target user in a health dimension according to the identity information includes:
acquiring disease information and daily diet information of the target user according to the identity information;
evaluating a plurality of different dimensions of the target user according to the disease information and the daily diet information to obtain health evaluation information;
and generating second user information of the target user on the health dimension according to the health assessment information.
In an exemplary embodiment of the present disclosure, obtaining third user information of the target user in a daily behavior dimension according to the identity information includes:
acquiring bill consumption behavior data of the target user within a preset time period according to the identity information;
analyzing the bill consumption behavior data to obtain the consumption category of the target user in the preset time period;
and generating third user information of the target user on the daily behavior dimension according to the consumption categories and the specific expense information on each consumption category.
In an exemplary embodiment of the present disclosure, inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, includes:
calculating the similarity between the user portrait and a plurality of evaluation standards with different dimensions included in the preset rule base business model, and sequencing the similarity;
determining a target evaluation standard with the similarity larger than a preset threshold according to the similarity sorting result, and acquiring a current health service product associated with the target evaluation standard according to the mapping relation;
and determining a target health service product from the current health service products according to the first user information and the third user information included in the user portrait, and generating a health service package matched with the target user according to the target health service product.
The details of each module in the user image generating device are described in detail in the corresponding user image generating method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the invention. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods of the present invention are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
In an exemplary embodiment of the present invention, there is also provided an electronic device capable of implementing the above method.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 1100 according to this embodiment of the invention is described below with reference to fig. 11. The electronic device 1100 shown in fig. 11 is only an example and should not bring any limitations to the function and the scope of use of the embodiments of the present invention.
As shown in fig. 11, electronic device 1100 is embodied in the form of a general purpose computing device. The components of the electronic device 1100 may include, but are not limited to: the at least one processing unit 1110, the at least one memory unit 1120, a bus 1130 connecting different system components (including the memory unit 1120 and the processing unit 1110), and a display unit 1140.
Wherein the storage unit stores program code that is executable by the processing unit 1110 to cause the processing unit 1110 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 1110 may execute step S110 as shown in fig. 1: acquiring data to be recognized shot by a face recognition camera, and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user; step S120: acquiring life track information of the target user according to the identity information, and analyzing the life track information to obtain first user information of the target user on an interest dimension; step S130: acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating a user portrait of the target user according to the first user information, the second user information and the third user information; step S140: inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, and pushing the health service package to a client corresponding to the target user so that the target user can check the health service package.
The storage unit 1120 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)11201 and/or a cache memory unit 11202, and may further include a read only memory unit (ROM) 11203.
The electronic device 1100 may also communicate with one or more external devices 1200 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1100, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1100 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 1150. Also, the electronic device 1100 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1160. As shown, the network adapter 1160 communicates with the other modules of the electronic device 1100 over the bus 1130. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 1100, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiment of the present invention.
In an exemplary embodiment of the present invention, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
According to the program product for realizing the method, the portable compact disc read only memory (CD-ROM) can be adopted, the program code is included, and the program product can be operated on terminal equipment, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
Claims (10)
1. A user representation generation method, comprising:
acquiring data to be recognized shot by a face recognition camera, and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user;
acquiring life track information of the target user according to the identity information, and analyzing the life track information to obtain first user information of the target user on an interest dimension;
acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating a user portrait of the target user according to the first user information, the second user information and the third user information;
inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, and pushing the health service package to a client corresponding to the target user so that the target user can check the health service package.
2. A user representation generation method in accordance with claim 1, further comprising:
acquiring a current health service product and a plurality of standard medical risk assessment tables with different dimensions, and extracting attribute fields included in each standard medical risk assessment table and attribute values corresponding to the attribute fields;
generating a plurality of evaluation standards of different dimensions according to the attribute fields and the attribute values, and establishing a mapping relation between the current health service product and the evaluation standards of the different dimensions;
generating the rule base business model based on the current health service product, the evaluation criteria of the plurality of different dimensions, and the mapping relationship.
3. The user representation generation method of claim 2, wherein the plurality of different-dimension standard medical risk assessment tables include a plurality of fall risk assessment tables, pressure sore risk assessment tables, nutritional risk assessment tables, daily life activity assessment tables, delirium risk assessment tables, loss risk assessment tables, and suicide risk assessment tables.
4. The method of generating a user representation as claimed in claim 1, wherein obtaining life track information of the target user according to the identity information, analyzing the life track information to obtain first user information of the target user in an interest dimension comprises:
acquiring life track information uploaded by a track positioning device worn by the target user according to the identity information;
matching the life track information in a preset point cloud map to obtain a target place included in the life track information;
and when the frequency of the target place appearing in the life track information is larger than a preset threshold value, generating first user information of the target user on the interest dimension according to the category of the target place.
5. The user representation generation method of claim 1, wherein obtaining second user information of the target user in a health dimension according to the identity information comprises:
acquiring disease information and daily diet information of the target user according to the identity information;
evaluating a plurality of different dimensions of the target user according to the disease information and the daily diet information to obtain health evaluation information;
and generating second user information of the target user on the health dimension according to the health assessment information.
6. The method for generating a user portrait according to claim 1, wherein obtaining third user information of the target user in a daily behavior dimension according to the identity information comprises:
acquiring bill consumption behavior data of the target user within a preset time period according to the identity information;
analyzing the bill consumption behavior data to obtain the consumption category of the target user in the preset time period;
and generating third user information of the target user on the daily behavior dimension according to the consumption categories and the specific expense information on each consumption category.
7. The method for generating a user representation according to claim 2 or 3, wherein inputting the user representation into a predetermined rule base business model to obtain a health service package matched with the target user comprises:
calculating the similarity between the user portrait and a plurality of evaluation standards with different dimensions included in the preset rule base business model, and sequencing the similarity;
determining a target evaluation standard with the similarity larger than a preset threshold according to the similarity sorting result, and acquiring a current health service product associated with the target evaluation standard according to the mapping relation;
and determining a target health service product from the current health service products according to the first user information and the third user information included in the user portrait, and generating a health service package matched with the target user according to the target health service product.
8. A user representation generation apparatus, comprising:
the identity information determining module is used for acquiring data to be recognized shot by the face recognition camera and recognizing the data to be recognized in a preset photo library to obtain identity information of a target user;
the information analysis module is used for acquiring life track information of the target user according to the identity information and analyzing the life track information to obtain first user information of the target user in an interest dimension;
the user portrait generation module is used for acquiring second user information of the target user in a health dimension and third user information in a daily behavior dimension according to the identity information, and generating user portrait of the target user according to the first user information, the second user information and the third user information;
and the service package matching module is used for inputting the user portrait into a preset rule base business model to obtain a health service package matched with the target user, and pushing the health service package to a client corresponding to the target user so that the target user can check the health service package.
9. A computer-readable storage medium, having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the user representation generation method of any of claims 1-7.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the user representation generation method of any of claims 1-7 via execution of the executable instructions.
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