CN115470417A - Information processing method and device - Google Patents
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- CN115470417A CN115470417A CN202211057772.XA CN202211057772A CN115470417A CN 115470417 A CN115470417 A CN 115470417A CN 202211057772 A CN202211057772 A CN 202211057772A CN 115470417 A CN115470417 A CN 115470417A
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Abstract
The application discloses an information processing method and device, which can be applied to the field of artificial intelligence, the field of Internet of things or the field of finance. When a network point query instruction from a user terminal is received, the position information of the user terminal is determined, a plurality of network points corresponding to the position information are determined, the network point query instruction can comprise a user traffic mode, areas between the user terminal and the network points, weather information and traffic information are obtained, the traffic information can comprise road vehicle information and traffic signal lamp information, time-consuming prediction is carried out on each network point in the network points by using a time-consuming prediction model according to the weather information, the traffic information, the position information of the user terminal and the traffic mode, time-consuming prediction values of the network points are obtained, a target network point is determined from the network points according to the time-consuming prediction values of the network points, the target network point is pushed to the user terminal, various factors are considered, and the time-consuming prediction model is used, so that the accuracy of the time-consuming prediction values is improved.
Description
Technical Field
The present application relates to the field of computers, and in particular, to an information processing method and apparatus.
Background
At present, a user has a demand for transacting business at a bank outlet, but when the user is unfamiliar with the position and route of the outlet, the outlet and the route which take shorter time are not easy to select. For example, there are few ways for overseas students to pay their fees in overseas countries, and the students need to pay the fees at the network sites, but they are likely to encounter uncontrollable or unpredictable risks on the way to the network sites, which affect the payment, or affect course selection due to delayed payment.
Disclosure of Invention
In view of the above, an object of the present application is to provide an information processing method and apparatus, which can determine a website and a route that take a short time for a user. The specific scheme is as follows:
in a first aspect, the present application provides an information processing method, including:
when a network point query instruction from a user terminal is received, determining the position information of the user terminal and determining a plurality of network points corresponding to the position information; the website query instruction comprises a traffic mode of a user;
acquiring weather information and traffic information of an area between the user terminal and the plurality of network points, wherein the traffic information comprises road vehicle information and traffic signal lamp information;
according to the position information of the multiple network points, the weather information, the traffic information, the position information of the user terminal and the traffic mode, a time-consuming prediction model is utilized to predict the arrival time of each network point in the multiple network points, and time-consuming prediction values of the multiple network points are obtained;
and determining a target network point from the plurality of network points according to the time-consuming predicted values of the plurality of network points, and pushing the target network point to the user terminal.
Optionally, the method further includes:
and generating a route from the position of the user terminal to the position of the target network point according to the weather information, the traffic information, the position information of the user terminal, the traffic mode and the position information of the target network point.
Optionally, the method further includes:
when the position information of the user terminal is updated to the position information of the target network point, acquiring a time-consuming actual value of the target network point;
and correcting the time-consuming prediction model according to the time-consuming actual value.
Optionally, the method further includes:
generating service reservation information according to the time consumption predicted value of the target network point;
and sending the service reservation information to the target network point.
Optionally, the method further includes:
responding to a service inquiry operation, and sending a service inquiry request to the target network point;
and after receiving the service information from the target network point, pushing the service information to the user terminal, wherein the service information comprises service basic information and service progress.
Optionally, the time-consuming prediction model includes a random forest boosting algorithm and a CART classification algorithm.
In a second aspect, an embodiment of the present application further provides an information processing apparatus, including:
the system comprises a network point determining unit, a network point searching unit and a network point searching unit, wherein the network point determining unit is used for determining the position information of a user terminal and determining a plurality of network points corresponding to the position information when receiving a network point searching instruction from the user terminal; the website query instruction comprises a traffic mode of a user;
the road condition information acquisition unit is used for acquiring weather information and traffic information of an area between the user terminal and the plurality of network points, wherein the traffic information comprises road vehicle information and traffic signal lamp information;
the time-consuming prediction unit is used for predicting the time-consuming arrival of each of the multiple network points by using a time-consuming prediction model according to the position information of the multiple network points, the weather information, the traffic information, the position information of the user terminal and the traffic mode to obtain time-consuming prediction values of the multiple network points;
and the network point screening unit is used for determining a target network point from the plurality of network points according to the time-consuming predicted values of the plurality of network points and pushing the target network point to the user terminal.
Optionally, the apparatus further comprises:
and the route generating unit is used for generating a route from the position of the user terminal to the position of the target network point according to the weather information, the traffic information, the position information of the user terminal, the traffic mode and the position information of the target network point.
Optionally, the apparatus further comprises:
a time-consuming actual value obtaining unit, configured to obtain a time-consuming actual value of the target node when the location information of the user terminal is updated to the location information of the target node;
and the correcting unit is used for correcting the time-consuming prediction model according to the time-consuming actual value.
Optionally, the apparatus further comprises:
the reservation information generating unit is used for generating service reservation information according to the time-consuming prediction value of the target network point;
and the reservation information sending unit is used for sending the service reservation information to the target network point.
Optionally, the apparatus further comprises:
a query request sending unit, configured to send a service query request to the target node in response to a service query operation;
and the display unit is used for pushing the service information to the user terminal after receiving the service information from the target network point, wherein the service information comprises service basic information and service progress.
Optionally, the time-consuming prediction model includes a random forest boosting algorithm and a CART classification algorithm.
An embodiment of the present application further provides an information processing apparatus, including: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is used for storing one or more programs, and the one or more programs comprise instructions which, when executed by the processor, cause the processor to execute any implementation mode of the information processing method.
An embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed on a processing device, the processing device is caused to execute any implementation manner of the information processing method.
The embodiment of the application provides an information processing method and device, when a network point query instruction from a user terminal is received, the position information of the user terminal is determined, a plurality of network points corresponding to the position information are determined, the network point query instruction can comprise a user traffic mode, areas between the user terminal and the network points, weather information and traffic information are obtained, the traffic information can comprise road vehicle information and traffic light information, time-consuming prediction is carried out on each network point in the network points by using a time-consuming prediction model according to the weather information, the traffic information, the position information of the user terminal and the traffic mode, time-consuming prediction values of the network points are obtained, a target network point is determined from the network points according to the time-consuming prediction values of the network points, and the target network point is pushed to the user terminal. The time-consuming prediction value is determined according to the weather information, the traffic information, the position information of the user terminal and the traffic mode, so that the time-consuming prediction value is more accurate by considering various factors, the objectivity of time-consuming prediction can be improved by using the time-consuming prediction model, and the accuracy of the time-consuming prediction value is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating an information processing method provided in an embodiment of the present application;
fig. 2 shows a schematic structural diagram of an information processing apparatus according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein, and it will be apparent to those of ordinary skill in the art that the present application is not limited by the specific embodiments disclosed below.
For convenience of understanding, an information processing method, an information processing apparatus, and related devices provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of an information processing method provided in an embodiment of the present application is shown, where the method may include the following steps.
S101, when a network point query instruction from a user terminal is received, determining the position information of the user terminal, and determining a plurality of network points corresponding to the position information.
In the embodiment of the application, the website query instruction from the user terminal can be obtained, and if the user has the website query requirement, the position information of the user terminal can be determined, and website pushing is carried out according to the position information of the user terminal. The position information of the user terminal can be obtained by using the technology of the internet of things, the position information of the user terminal can comprise the positioning coordinates of the user terminal, the technology of the internet of things refers to that any object is connected with a network according to an agreed protocol through information sensing equipment, and the object carries out information exchange and communication through an information transmission medium so as to realize the functions of intelligent identification, positioning, monitoring, supervision and the like. Specifically, the internet of things technology may include a global positioning system.
The website query instruction may include a transportation mode of the user, the transportation mode determines a moving speed range of the user, and the transportation mode may include public transportation, riding, walking, self-driving, driving and the like. The correspondence between the transportation means and the moving speed can be determined according to conventional correspondence, for example, the moving speed for riding is 15-22km/h, and the moving speed for walking is 5.32 km/h-5.43 km/h.
According to the position information of the user terminal, a plurality of network points corresponding to the position information can be determined, and the distance between the plurality of network points and the position information is within a preset range, so that the network points can be pre-screened, and the subsequent calculation amount is reduced.
S102, weather information and traffic information of an area between the user terminal and the plurality of network points are obtained, wherein the traffic information comprises road vehicle information and traffic light information.
After the position information of the user terminal and the plurality of network points are determined, an area between the user terminal and the plurality of network points can be obtained, and road condition information of the area is determined, wherein the road condition information can comprise weather information and traffic information, the weather information comprises at least one of air temperature, rainfall information and snowfall information, the traffic information comprises road vehicle information and traffic light information, and the weather information and the traffic information both influence the moving speed of the user, for example, the driving moving speed is relatively low in rainy days, the driving moving speed is relatively low when the number of road vehicles is large, and the driving moving speed is relatively low when the number of traffic lights is large.
S103, according to the position information of the multiple network points, the weather information, the traffic information, the position information of the user terminal and the traffic mode, a time-consuming prediction model is used for predicting the arrival time of each network point in the multiple network points to obtain time-consuming prediction values of the multiple network points.
The method comprises the steps that weather information and traffic information influence the moving speed of a user, the moving speed range of the user is determined by a traffic mode, and the moving distance of the user is influenced by the position information of a user terminal and the position information of network points, so that the time-consuming prediction of arrival of each network point in a plurality of network points can be carried out by utilizing a time-consuming prediction model according to the position information, the weather information, the traffic information, the position information of the user terminal and the traffic mode of the network points, and the time-consuming prediction values of the network points are obtained and used for representing the time consumption of moving from the position of the user terminal to the position of the network points.
The time-consuming prediction model can comprise a random forest and the like, the random forest is a classifier comprising a plurality of decision trees, the output category of the random forest is determined by the output results of all the decision trees, data such as position information, weather information, traffic information, position information of a user terminal, traffic modes and the like of a plurality of network points can be classified, the internal structure of the data is tried to be found, the probability that the plurality of network points belong to each time-consuming prediction value can be determined by utilizing the random forest, and therefore the respective time-consuming prediction values of the plurality of network points are determined. The random forest may be a boosting algorithm.
The time-consuming prediction model can also comprise a CART classification algorithm, the CART classification algorithm detects the abnormity in the training data through a post-pruning method, subtracts unknown data with low accuracy, prunes the trees grown in the training set by using an independent verification data set, tests the prediction effect after pruning by using cross verification, selects the pruned tree with the best generalization prediction effect as a final CART tree, solves the problem that random forests are easy to over-fit the training set, so that the generalization capability is poor, and finally obtains the time-consuming prediction values of a plurality of network points.
S104, determining a target network point from the plurality of network points according to the time consumption predicted values of the plurality of network points, and pushing the target network point to the user terminal.
According to the time-consuming predicted values of the multiple network points, a target network point can be determined from the multiple network points, and the target network point is pushed to the user terminal, wherein the number of the target network points can be one or multiple. When there are multiple target sites, one of the target sites may be determined as a final site according to a selection operation of a user.
After the target network point is determined, a route from the position of the user terminal to the position of the target network point can be generated according to weather information, traffic information, position information of the user terminal, a traffic mode and position information of the target network point, so that a user can refer to the route.
In addition, when the number of the target network nodes is one, or one of the target network nodes is determined according to user selection operation, service reservation information can be generated according to a time consumption prediction value of the target network node, and the service reservation information is sent to the target network node, so that queuing can be performed in advance when the number of queuing people of the target network node is large, and queuing time at the target network node is reduced.
When the position information of the user terminal is updated to the position information of the target network point, acquiring a time-consuming actual value of the target network point, wherein the time-consuming actual value is the time consumed by a user from an initial position when the query instruction is triggered to the position of the target network point, the time-consuming actual value is used as a part of training data, and the time-consuming prediction model is corrected according to the time-consuming actual value. When the position information of the user terminal is between the initial position and the position of the target website, the relative position relation of the initial position, the current position of the user terminal and the position of the target website can be displayed, so that a user can efficiently obtain a driving route.
After the position information of the user terminal is updated to the position information of the target website, the user arrives at the target website, the related equipment of the target website can upload the personal materials and the related authentication certificates of the user through the iris recognition technology and the OCR recognition technology, the bank audits the application information and confirms the material information provided by the user, and the user can transact the corresponding business, such as paying the school fee. And then, the user can inquire the service through the user terminal, the user terminal responds to the service inquiry operation, sends a service inquiry request to the target network point, and pushes the service information to the user terminal after receiving the service information from the target network point so as to display the service information at the user terminal, wherein the service information can comprise basic service information and service progress, and the basic service information can comprise user information and the like.
The embodiment of the application provides an information processing method, when a network point query instruction from a user terminal is received, the position information of the user terminal is determined, a plurality of network points corresponding to the position information are determined, the network point query instruction can comprise a user traffic mode, areas between the user terminal and the network points, weather information and traffic information are obtained, the traffic information can comprise road vehicle information and traffic light information, time-consuming prediction is carried out on each network point in the network points by using a time-consuming prediction model according to the weather information, the traffic information, the position information of the user terminal and the traffic mode, time-consuming prediction values of the network points are obtained, a target network point is determined from the network points according to the time-consuming prediction values of the network points, and the target network point is pushed to the user terminal. The time-consuming prediction value is determined according to the weather information, the traffic information, the position information of the user terminal and the traffic mode, so that the time-consuming prediction value is more accurate by considering various factors, the objectivity of time-consuming prediction can be improved by using the time-consuming prediction model, and the accuracy of the time-consuming prediction value is improved.
Based on the above information processing method, an embodiment of the present application further provides an information processing apparatus, which is shown in fig. 2 and is a block diagram of the information processing apparatus provided in the embodiment of the present application, and the information processing apparatus may include:
a node determining unit 110, configured to determine, when a node query instruction from a user terminal is received, location information of the user terminal, and determine a plurality of nodes corresponding to the location information; the website query instruction comprises a traffic mode of a user;
a traffic information obtaining unit 120, configured to obtain weather information and traffic information of an area between the user terminal and the multiple nodes, where the traffic information includes road vehicle information and traffic signal light information;
a time-consuming prediction unit 130, configured to perform time-consuming prediction for reaching each of the multiple network points by using a time-consuming prediction model according to the location information of the multiple network points, the weather information, the traffic information, the location information of the user terminal, and the traffic manner, so as to obtain time-consuming prediction values of the multiple network points;
a mesh point screening unit 140, configured to determine a target mesh point from the multiple mesh points according to the time consumption predicted values of the multiple mesh points, and push the target mesh point to the user terminal.
Optionally, the apparatus further comprises:
and the route generating unit is used for generating a route from the position of the user terminal to the position of the target network point according to the weather information, the traffic information, the position information of the user terminal, the traffic mode and the position information of the target network point.
Optionally, the apparatus further comprises:
a time-consuming actual value acquiring unit, configured to acquire a time-consuming actual value of the target node when the location information of the user terminal is updated to the location information of the target node;
and the correcting unit is used for correcting the time-consuming prediction model according to the time-consuming actual value.
Optionally, the apparatus further comprises:
the reservation information generating unit is used for generating service reservation information according to the time-consuming prediction value of the target network point;
and the reservation information sending unit is used for sending the service reservation information to the target network node.
Optionally, the apparatus further comprises:
a query request sending unit, configured to send a service query request to the target node in response to a service query operation;
and the display unit is used for pushing the service information to the user terminal after receiving the service information from the target network point, wherein the service information comprises service basic information and service progress.
Optionally, the time-consuming prediction model includes a random forest boosting algorithm and a CART classification algorithm.
The embodiment of the application provides an information processing device, when a network point query instruction from a user terminal is received, the position information of the user terminal is determined, a plurality of network points corresponding to the position information are determined, the network point query instruction can comprise a user traffic mode, areas between the user terminal and the network points, weather information and traffic information are obtained, the traffic information can comprise road vehicle information and traffic light information, time-consuming prediction is carried out on each network point in the network points by using a time-consuming prediction model according to the weather information, the traffic information, the position information of the user terminal and the traffic mode, time-consuming prediction values of the network points are obtained, a target network point is determined from the network points according to the time-consuming prediction values of the network points, and the target network point is pushed to the user terminal. The time-consuming prediction value is determined according to the weather information, the traffic information, the position information of the user terminal and the traffic mode, so that the time-consuming prediction value is more accurate by considering various factors, the objectivity of time-consuming prediction can be improved by using the time-consuming prediction model, and the accuracy of the time-consuming prediction value is improved.
Further, an embodiment of the present application further provides a front-end authorization device, including: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is configured to store one or more programs, the one or more programs including instructions, which when executed by the processor, cause the processor to perform any of the implementation methods of the front-end authorization method described above.
Further, an embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed on a processing device, the processing device is caused to execute any implementation method of the foregoing front-end authorization method.
It should be noted that the information processing method and device provided by the invention can be used in the field of artificial intelligence, the field of internet of things or the field of finance. The foregoing is merely an example, and does not limit the application field of the information processing method and apparatus provided by the present invention.
The information processing method and the information processing device provided by the invention can be used in the financial field or other fields, for example, can be used in a website confirmation application scene in the financial field. The other fields are arbitrary fields other than the financial field, for example, the electric power field. The foregoing is merely an example, and does not limit the application field of the information processing method and apparatus provided by the present invention.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is merely a preferred embodiment of the present application and, although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application. Those skilled in the art can make numerous possible variations and modifications to the disclosed solution, or modify it to equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the claimed solution. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application are still within the protection scope of the technical solution of the present application without departing from the content of the technical solution of the present application.
Claims (10)
1. An information processing method, characterized by comprising:
when a network point query instruction from a user terminal is received, determining the position information of the user terminal and determining a plurality of network points corresponding to the position information; the website query instruction comprises a traffic mode of a user;
acquiring weather information and traffic information of an area between the user terminal and the plurality of network points, wherein the traffic information comprises road vehicle information and traffic signal lamp information;
according to the position information of the plurality of network points, the weather information, the traffic information, the position information of the user terminal and the traffic mode, utilizing a time-consuming prediction model to predict the time consumption of arrival of each network point in the plurality of network points so as to obtain time-consuming prediction values of the plurality of network points;
and determining a target network point from the network points according to the time consumption predicted values of the network points, and pushing the target network point to the user terminal.
2. The method of claim 1, further comprising:
and generating a route from the position of the user terminal to the position of the target network point according to the weather information, the traffic information, the position information of the user terminal, the traffic mode and the position information of the target network point.
3. The method of claim 1, further comprising:
when the position information of the user terminal is updated to the position information of the target network point, acquiring a time-consuming actual value of the target network point;
and correcting the time-consuming prediction model according to the time-consuming actual value.
4. The method according to any one of claims 1-3, further comprising:
generating service reservation information according to the time-consuming prediction value of the target network point;
and sending the service reservation information to the target network point.
5. The method according to any one of claims 1-3, further comprising:
responding to a service inquiry operation, and sending a service inquiry request to the target network point;
and after receiving the service information from the target network point, pushing the service information to the user terminal, wherein the service information comprises service basic information and service progress.
6. The method according to any of claims 1-3, wherein the time-consuming prediction model comprises a random forest boosting algorithm and a CART classification algorithm.
7. An information processing apparatus characterized by comprising:
the system comprises a network point determining unit, a network point determining unit and a network point determining unit, wherein the network point determining unit is used for determining the position information of a user terminal and determining a plurality of network points corresponding to the position information when receiving a network point query instruction from the user terminal; the website query instruction comprises a traffic mode of a user;
the road condition information acquisition unit is used for acquiring weather information and traffic information of an area between the user terminal and the plurality of network points, wherein the traffic information comprises road vehicle information and traffic signal lamp information;
the time-consuming prediction unit is used for predicting the time-consuming arrival of each of the multiple network points by using a time-consuming prediction model according to the position information of the multiple network points, the weather information, the traffic information, the position information of the user terminal and the traffic mode to obtain time-consuming prediction values of the multiple network points;
and the network point screening unit is used for determining a target network point from the plurality of network points according to the time consumption predicted values of the plurality of network points and pushing the target network point to the user terminal.
8. The method of claim 7, wherein the apparatus further comprises:
and the route generating unit is used for generating a route from the position of the user terminal to the position of the target network point according to the weather information, the traffic information, the position information of the user terminal, the traffic mode and the position information of the target network point.
9. A data processing apparatus, characterized by comprising: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is to store one or more programs, the one or more programs comprising instructions, which when executed by the processor, cause the processor to perform the method of any of claims 1-6.
10. A computer-readable storage medium having stored therein instructions that, when executed on a processing device, cause the processing device to perform the method of any of claims 1-6.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211057772.XA CN115470417A (en) | 2022-08-30 | 2022-08-30 | Information processing method and device |
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| CN202211057772.XA CN115470417A (en) | 2022-08-30 | 2022-08-30 | Information processing method and device |
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| CN115470417A true CN115470417A (en) | 2022-12-13 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116347336A (en) * | 2023-05-29 | 2023-06-27 | 江西省气象服务中心(江西省专业气象台、江西省气象宣传与科普中心) | Meteorological information sending method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116347336A (en) * | 2023-05-29 | 2023-06-27 | 江西省气象服务中心(江西省专业气象台、江西省气象宣传与科普中心) | Meteorological information sending method and system |
| CN116347336B (en) * | 2023-05-29 | 2023-08-11 | 江西省气象服务中心(江西省专业气象台、江西省气象宣传与科普中心) | Meteorological information sending method and system |
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