CN111598663A - Message pushing method and device, electronic equipment and storage medium - Google Patents
Message pushing method and device, electronic equipment and storage medium Download PDFInfo
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- CN111598663A CN111598663A CN202010418986.XA CN202010418986A CN111598663A CN 111598663 A CN111598663 A CN 111598663A CN 202010418986 A CN202010418986 A CN 202010418986A CN 111598663 A CN111598663 A CN 111598663A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The application provides a message pushing method, a device, electronic equipment and a storage medium, wherein a vehicle historical track is formed by utilizing acquired vehicle-mounted data, a predicted position to be refueled of a vehicle is determined according to the vehicle historical track, the predicted position to be refueled is determined, the vehicle-mounted data is input into a preset refueling characteristic model to calculate a target gas station, and target activity information is pushed to a user according to the information of the target gas station, so that the information of the vehicle and a specific service demand scene of the user are combined, the accurate delivery of service activity messages is realized, the conversion rate of the push messages is improved, and the efficient drainage of service providers is realized.
Description
Technical Field
The present application relates to the field of computer data processing, and in particular, to a message pushing method, an apparatus, an electronic device, and a storage medium.
Background
With the popularization of automobiles and the development of mobile internet of vehicles technology, more and more activity scenes of people are directly related to automobiles, and then the problem that people often face is that people refuel automobiles or reserve other services on automobiles.
At present, a user still manually pays attention to the remaining fuel quantity of the automobile or determines whether to refuel the automobile through a fuel quantity warning lamp displayed on an automobile dashboard, and the selection of a gas station also depends on the independent selection of the user, so that the user often takes a coupon of the gas station through some ways, but the coupon is low in use rate due to the limitation that the coupon is used by the gas station. For a gas station or other service providers providing services for car owners, the coupon issuing or the pushed activity information is in an undifferentiated mode of being directly issued or issued to specific users, and cannot be combined with the information of a vehicle and a refueling scene or other service demand scenes, so that the fine issuing capability is realized, the use conversion rate of the coupon or the pushed message is improved, and the purpose of guiding the flow to the gas station or other service providers is achieved.
Therefore, the existing coupon issuing method or the activity message pushing method cannot accurately push the activity message of the service provider to the user with the requirement.
Disclosure of Invention
The application provides a message pushing method, a message pushing device, electronic equipment and a storage medium, so that the activity message of a service provider can be accurately pushed to a user with a requirement.
In a first aspect, the present application provides a message pushing method, including:
determining and predicting a position to be refueled according to acquired vehicle-mounted data, wherein the vehicle-mounted data is used for recording a historical track of a vehicle;
determining a target gas station according to the predicted position to be refueled, the vehicle-mounted data and a preset refueling characteristic model;
and pushing a target activity message according to the information of the target gas station.
In one possible design, the determining target gas station information according to the predicted location to be refueled, the onboard data and a preset refueling characteristic model includes:
determining a gas station screening condition according to the vehicle-mounted data and the preset refueling characteristic model, wherein the vehicle-mounted data further comprises the current remaining oil quantity and an oil label;
and determining the target gas station from a set of candidate gas stations according to the gas station screening conditions, wherein the set of candidate gas stations is determined according to the predicted position to be refueled.
In one possible design, the screening conditions include: historical refueling behavior information, predicted residual fuel quantity, predicted refueling time and predicted position to be refueled.
In one possible design, the determining the predicted to-be-refueled position according to the acquired vehicle-mounted data includes:
and determining the predicted position to be refueled according to the historical track of the vehicle and the current remaining oil quantity.
In one possible design, the screening conditions include: one or more of user identification information, vehicle remaining oil amount, and oil designation.
In one possible design, the target activity message includes: one or more of coupon push information and operational activity information.
In one possible design, after the pushing the target activity message according to the information of the target gas station, the method further includes:
and if a target activity triggering instruction is received, taking the screening condition corresponding to the target activity message as data to be trained, wherein the target activity triggering instruction is used for configuring the use state of the target activity message into a used state, and the data to be trained is used for training the preset refueling characteristic model.
In a second aspect, the present application provides a message pushing apparatus, including:
the acquisition module is used for acquiring vehicle-mounted data, and the vehicle-mounted data is used for recording the historical track of the vehicle;
the processing module is used for determining and predicting the position to be refueled according to the vehicle-mounted data;
the processing module is also used for determining a target gas station according to the predicted position to be refueled, the vehicle-mounted data and a preset refueling characteristic model;
the processing module is further used for pushing the target activity message according to the information of the target gas station.
In one possible design, the processing module is further configured to determine a gas station screening condition according to vehicle-mounted data and a preset gas-filling characteristic model, where the vehicle-mounted data further includes a current remaining fuel amount and a fuel label;
the processing module is further used for determining the target gas station from a set of gas stations to be selected according to the gas station screening conditions, wherein the set of gas stations to be selected is determined according to the predicted position to be refueled.
In one possible design, the processing module is further configured to determine a target gas station from a set of candidate gas stations according to the historical refueling behavior information, the predicted remaining fuel amount, the predicted refueling time, and the predicted to-be-refueled position.
In one possible design, the processing module is further configured to determine a predicted position to be refueled according to a historical trajectory of the vehicle and a current remaining fuel amount.
In one possible design, the processing module is further configured to determine a target gas station from the set of gas stations to be selected according to one or more of the user identification information, the remaining fuel amount of the vehicle, and the fuel label.
In one possible design, the processing module is further configured to determine the target gas station from a set of gas stations to be selected according to one or more of historical refueling behavior information, predicted remaining fuel amount, predicted refueling time, predicted location to be refueled, user identity information, vehicle remaining fuel amount, and fuel label.
In one possible design, the processing module is further configured to push one or more of coupon information and operation activity information according to the information of the target gas station.
In a possible design, the processing module is further configured to, after pushing a target activity message according to information of a target gas station, if a target activity trigger instruction is received, take a screening condition corresponding to the target activity message as data to be trained, where the target activity trigger instruction is used to configure a use state of the target activity message as a used state, and the data to be trained is used to train a preset fueling feature model.
In a third aspect, the present application further provides a message pushing electronic device, including:
a processor; and the number of the first and second groups,
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform any one of the possible message push methods of the first aspect via execution of the executable instructions.
In a fourth aspect, the present application further provides a storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement any one of the possible message pushing methods in the first aspect.
According to the message pushing method, the device, the electronic equipment and the storage medium, the predicted position to be refueled is determined through the acquired vehicle-mounted data, the target gas station is determined according to the predicted position to be refueled, the vehicle-mounted data and the preset refueling characteristic model, the target activity message is pushed according to the information of the target gas station, the information of the vehicle and the specific service demand scene of the user are combined, the accurate delivery of the service activity message is achieved, the conversion rate of the push message is improved, and the efficient drainage of the service provider is achieved.
Drawings
In order to more clearly illustrate the technical solutions in the present application or 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 invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic view of an application scenario according to an embodiment of the present application;
FIG. 2 is a schematic diagram of vehicle and server information interaction provided by an embodiment of the present application;
fig. 3 is a flowchart of a message pushing method according to a first embodiment of the present application;
fig. 4 is a flowchart of a message pushing method according to a second embodiment of the present application;
fig. 5 is a flowchart of a message pushing method according to a third embodiment of the present application;
fig. 6 is a schematic structural diagram of a message pushing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a message pushing electronic device according to an embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the various embodiments of the present application, the size of the serial number of each process does not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It should be understood that in this application, "plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.
It should be understood that in the present application, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, from which B can be determined. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
With the popularization of automobiles and the development of mobile internet of vehicles technology, more and more activity scenes of people are directly related to automobiles, and then the problem that people often face is that people refuel automobiles or reserve other services on automobiles.
At present, a user still manually pays attention to the remaining fuel quantity of the automobile or determines whether to refuel the automobile through a fuel quantity warning lamp displayed on an automobile dashboard, and the selection of a gas station also depends on the independent selection of the user, so that the user often takes a coupon of the gas station through some ways, but the coupon is low in use rate due to the limitation that the coupon is used by the gas station. For a gas station or other service providers providing services for car owners, the coupon issuing or the pushed activity information is in an undifferentiated mode of being directly issued or issued to specific users, and cannot be combined with the information of a vehicle and a refueling scene or other service demand scenes, so that the fine issuing capability is realized, the use conversion rate of the coupon or the pushed message is improved, and the purpose of guiding the flow to the gas station or other service providers is achieved.
Therefore, the existing coupon issuing method or the activity message pushing method cannot accurately push the activity message of the service provider to the user with the requirement.
In view of the existing problems, the embodiment of the present application provides a message pushing method, in which a vehicle history track is formed by using acquired vehicle-mounted data, a predicted position to be refueled of a vehicle is determined according to the vehicle history track, the predicted position to be refueled is input into a preset refueled feature model to calculate a target gas station, and target activity information is pushed to a user according to information of the target gas station, so that information of the vehicle and a service demand scene specific to the user are combined, accurate delivery of service activity messages is realized, a push message conversion rate is improved, and efficient drainage is performed for a service provider.
Fig. 1 is a schematic view of an Application scenario of an embodiment of the present Application, and as shown in fig. 1, in the message pushing method provided in the embodiment of the present Application, an applied scenario may be a remaining fuel amount, a current vehicle speed, and the like of a vehicle 11 during a commuting process, that is, a route 12 in fig. 1, or during a driving process of the vehicle along a preset vehicle-mounted navigation route, a vehicle-mounted device may monitor in real time the remaining fuel amount, the current vehicle speed, and the like of the vehicle, and send such information to a server, the server determines a predicted fueling position of the vehicle in advance according to received real-time information, historical trajectory data of the vehicle, average fuel consumption of the vehicle, and historical information of the vehicle, then searches for information of a peripheral fueling station 13 according to the determined fueling position, and sends a coupon to a vehicle-mounted terminal or a mobile phone Application (APP for short) of.
Fig. 2 is a schematic diagram of information interaction between a vehicle and a server according to an embodiment of the present disclosure, as shown in fig. 2, an automobile 22 is provided with an on-board sensor or an on-board information collection device, the on-board information is sent to the server 21 through an on-board antenna or an internet of vehicles, the server 21 calculates a predicted fueling position of the vehicle according to on-board data and historical data stored in a database, and obtains coupon information of a nearest fueling station according to the position.
In the following, a message pushing method provided by the present application is discussed in detail with reference to a specific application scenario, fig. 3 is a flowchart of the message pushing method provided by a first embodiment of the present application, and as shown in fig. 3, the message pushing method provided by the present embodiment may include:
and S101, determining and predicting the position to be refueled according to the acquired vehicle-mounted data.
The server receives vehicle-mounted data sent by a vehicle-mounted sensor or a vehicle-mounted information collection device through an antenna or a vehicle networking device, the vehicle-mounted data can comprise a vehicle historical track, the current remaining oil quantity and an oil mark number, the server can calculate the driving distance of a vehicle according to the vehicle-mounted data, and the predicted position to be refueled can be determined according to the distance and the vehicle historical track.
Optionally, the historical track of the vehicle includes a current position, the server calculates a maximum distance that the vehicle can travel when the oil amount is exhausted according to the current remaining oil amount by using an oil amount and distance statistical relationship model, and then obtains a predicted refueling position according to the current position and road data of a map, wherein the predicted refueling position is a limit position where the vehicle travels.
Optionally, the historical track of the vehicle includes a current position, the server calculates a safe distance for the vehicle to travel according to a difference between a preset first warning threshold of the oil amount and the current remaining oil amount by using an oil amount and distance statistical relationship model, and then obtains a first predicted refueling position according to the current position and road data of a map.
Optionally, after the first predicted refueling position is obtained, the server calculates a second predicted refueling position according to a difference between a preset second warning threshold of the fuel amount and the current remaining fuel amount.
Optionally, the vehicle-mounted data may include a list of historical gasoline stations of the vehicle, and the distance between the gasoline station in the list and the current position of the vehicle is calculated, so as to obtain the amount of gasoline required to be consumed when the vehicle travels to the historical gasoline station, compare the amount of gasoline consumed with the current remaining amount of gasoline, and obtain the predicted position to be fueled according to the comparison result.
And S102, determining a target gas station according to the predicted position to be refueled, the vehicle-mounted data and the preset refueling characteristic model.
The preset refueling characteristic model is input with the vehicle-mounted data, the refueling habit of a user can be calculated by the refueling characteristic model, and the refueling habit data such as the refueling frequency, the habit refueling date, the brand of a common refueling station, the position of the common refueling station, the fuel number, the corresponding average residual fuel amount during refueling, the average refueling amount at each time and the average amount of each refueling can be included. And taking the predicted position to be refueled as the center of a circle, making a circle with a certain radius, such as a circle with the radius of 2km, and then searching one or more target gas stations meeting the refueling habits of the user in the circle with the predicted refueling position as the center by the server. The refueling habits of the user can be analyzed from different angles through the data, wherein the refueling frequency can reflect the use frequency of the user for the automobile or explain the degree of dependence of the user on the automobile for transportation; the habitual refueling date can be friday or evening of the week, and the refueling station with the preferential activity in the date can be selected according to the habitual refueling date; the common brand of the gas station further provides a screening condition, the gas stations can be classified into two types of drainage requirements and drainage-free requirements according to the screening condition, and the gas stations with drainage requirements can provide higher-limit preference and the like for corresponding users; the average remaining oil amount corresponding to the user during refueling can reflect whether the user is sensitive to the oil amount, for example, the user often selects refueling when the remaining oil amount is lower than an alarm value, the user can reflect that the user actively pays little attention to the oil amount, push messages can be added for the user, the user is reminded to refuel in time, if the user often refuels when the remaining oil amount is large, the user can further compare whether the user is sensitive to the oil price, if the user is sensitive, the weight of price influence during screening of a gas station can be increased, and data such as the average refueling amount and the average amount of money during refueling are assisted and corrected according to different weight proportions; different weight indexes are adopted according to different angles, and the oiling habit of the user is reflected comprehensively.
Optionally, the first predicted fueling position and the second predicted fueling position discussed in the previous step are respectively used as centers of circles, a first fueling range and a second fueling range are obtained by using the preset fueling radius, a fueling station in an overlapping portion of the first fueling range and the second fueling range is a target fueling station, the first predicted fueling position represents that the fuel amount enters a low-volume position, namely, a fuel amount position which a user can actively pay attention to, the second predicted fueling position represents that the fuel amount enters a medium-volume position, and the medium-volume position is a trigger condition for the server to push a message.
S103, pushing a target activity message according to the information of the target gas station.
In a target gas station, gas stations meeting user habits are screened, for example, the user can be classified into a fuel quantity sensitive type and a price sensitive type according to the fuel filling habit of the user, for the fuel quantity sensitive type user, a gas station closest to the user is preferentially selected, then a server pushes coupons issued by a service provider website of the gas station to the user through a vehicle-mounted terminal or a mobile phone APP, and for the price sensitive user, the coupons of the gas station with the maximum coupon degree in the target gas station can be pushed to the user. Optionally, the server may also push the coupon of the gas station near the target gas station to the user, so as to implement drainage of the user.
According to the method and the device, the predicted position to be refueled is determined according to the acquired vehicle-mounted data, the target gas station is determined according to the predicted position to be refueled, the vehicle-mounted data and the preset refueling characteristic model, the target activity message is pushed according to the information of the target gas station, the information of the vehicle and the specific service demand scene of the user are combined, the accurate delivery of the service activity message is achieved, the message pushing conversion rate is improved, and efficient drainage is achieved for a service provider.
Fig. 4 is a flowchart of a message pushing method according to a second embodiment of the present application, and as shown in fig. 4, the message pushing method according to the present embodiment includes:
s201, determining the predicted position to be refueled according to the historical track of the vehicle and the current residual oil quantity.
The server receives vehicle-mounted data sent by a vehicle-mounted sensor or a vehicle-mounted information collection device through an antenna or a vehicle networking device, wherein the vehicle-mounted data can comprise a vehicle historical track, current remaining oil quantity and a current position. The vehicle historical track refers to a vehicle running route map formed by GPS real-time positioning data of the vehicle within a period of time, such as a week or a month or a year. When the residual oil amount reaches the preset warning oil amount, the preset warning oil amount can be the oil amount of the vehicle which can still run for 5km, and the vehicle can search the position within the range of 5km in the historical track to be used as the predicted position to be refueled.
Optionally, the track route of the closest time point is selected according to the current position and the historical track of the vehicle, the time information contained in the historical track and the current remaining oil quantity of the vehicle, and the predicted position to be refueled is calculated. Specifically, the current position or the position point closest to the current position is marked on the track route of the closest time point, and then the travelable distance calculated through the current residual oil quantity is added, so that the predicted position to be refueled can be obtained.
Optionally, according to the time information included in the historical track, the driving route of the vehicle at the time point corresponding to the current time before the week and the current remaining oil amount of the vehicle are selected, and the predicted position to be refueled is calculated. Specifically, the current position or the position point closest to the current position is marked on the driving route, and then the driving distance calculated by the current remaining oil amount is added, so that the predicted position to be refueled can be obtained.
Optionally, the predicted position to be refueled is calculated according to the route with the most repetition times in the historical track, the current position and the current remaining oil amount. Specifically, the current position or the position point closest to the current position is marked on the route with the largest number of times of repetition, the distance capable of traveling is calculated according to the remaining oil quantity, and the position to be refueled can be predicted by taking the position closest to the current position as the starting point on the route and adding the distance capable of traveling.
S202, determining the screening conditions of the gas station according to the predicted position to be refueled, the vehicle-mounted data and the preset refueled characteristic model.
Treat to refuel the position with on-vehicle data and prediction and input to predetermineeing among the characteristic model that refuels, predetermine and refuel the characteristic model and can generate user's the custom data of refueling according to user's history record of refueling, for example, can be including custom refueling time, refuel the frequency, the brand of filling station commonly used, the position of filling station commonly used, the oil number, the average residual oil volume that corresponds when refueling, average refueling volume and the average amount of money of filling at every turn, treat the position of refueling according to the custom data of refueling and prediction, current residual oil volume just can regard as the screening condition.
S203, determining the target gas station from the set of the gas stations to be selected according to the gas station screening conditions.
And according to the screening conditions determined in the last step, the server screens the gas stations from all the gas stations in the database through a preset screening algorithm, extracts at least one gas station meeting the screening conditions, and generates a target gas station.
Specifically, the number of the fuel stations that the user most frequently goes to, or all the fuel stations at the intermediate position between the fuel station that the user most frequently goes to and the current position, or the number of the fuel stations closest to the user, or the fuel station with the highest preferential ranking 3 in the range of the user's remaining fuel, or the fuel station with the highest evaluation score near the current position, or a combination of the above cases. The screening condition reflects the habits of the user, and the user can be guided to form new habits through the screening condition, so that the aim of pushing messages in a targeted manner to improve the message delivery accuracy is achieved, and meanwhile, the effect of conducting drainage on the user and the service provider can be achieved.
And S204, pushing a target activity message according to the information of the target gas station.
The server searches whether the target gas station has the preferential activity or not in the preferential database, if yes, the information of the preferential activity, namely the information of the target activity is pushed to the user through the vehicle-mounted terminal or the mobile phone APP, if not, the server accesses a commercial website of a service provider of the target gas station, whether the preferential activity information exists is further searched, and if yes, the information of the target activity is pushed to the user through the vehicle-mounted terminal or the mobile phone APP. If the preferential database and the commercial website of the service provider do not have the preferential activity information of the target gas station, whether the preferential activity information exists in gas stations within a certain range, such as a range of 2 kilometers, away from the target gas station or not is searched, and the preferential activity information is pushed to the user. Optionally, the preferential activity message of the gasoline station needing to be drained is also pushed to the user together.
The server determines the predicted position to be refueled according to the historical track of the vehicle and the current remaining fuel quantity, determines a gas station screening condition according to the predicted position to be refueled, vehicle-mounted data and a preset refueling characteristic model, then determines the target gas station from a set of gas stations to be selected according to the gas station screening condition, pushes a target activity message according to the information of the target gas station, combines the information of the vehicle with a user-specific service demand scene and the habit of the user, the screening condition is the habit reflection of the user, and the preset refueling characteristic model is a mathematical model algorithm generated according to the historical habit data of the user, so that the accurate delivery of the service activity message is realized, the conversion rate of the pushed message is improved, and the efficient drainage is realized for a service provider.
Fig. 5 is a flowchart of a message pushing method according to a third embodiment of the present application, and as shown in fig. 4, the message pushing method according to the present embodiment includes:
s301, determining and predicting the position to be refueled according to the acquired vehicle-mounted data.
For some possible designs of this step, please refer to the schemes discussed in S101 of the first embodiment and S201 of the second embodiment, which are not described herein again. There are other possible designs for this step, as follows:
optionally, the vehicle-mounted data further includes vehicle real-time oil consumption and current speed, the server calculates vehicle running time according to the vehicle real-time oil consumption and the remaining oil amount, then obtains a predicted running distance according to the product of the running time and the current speed, and can obtain the predicted position to be refueled according to the current position of the vehicle and road map information stored in the server.
Optionally, the server is according to whether current surplus oil mass reaches predetermined alarm value, and predetermined alarm value can be that the user sets up in advance, also can be generated according to user's the custom model of refueling, and is optional, and predetermined alarm value can divide into several different size values to realize the early warning in grades to different oil masses, and the grade through the early warning is different, can the message of propelling movement different grade type. If the vehicle-mounted data contains the alarm message, the server searches the position of a gas station closest to the current position of the vehicle according to the alarm message, and the position is the predicted position to be refueled.
Optionally, the vehicle-mounted data further includes a vehicle navigation route map and an average oil consumption, the server can calculate the predicted position to be oiled of the vehicle according to the navigation route map, the average oil consumption of the vehicle and the current remaining oil amount,
optionally, the vehicle-mounted data further includes current vehicle running accumulated time, the server determines a refueling habit route of the user according to the vehicle-mounted data and a historical vehicle running route, and calculates a predicted position to be refueled of the vehicle according to the refueling habit route and the current vehicle running accumulated time. Specifically, when the server pre-judges that the vehicle runs on the oiling habit route, the server can pre-judge the position where the user can generate the oiling requirement according to the running accumulated time of the vehicle and the current residual oil quantity of the vehicle, so that the position to be oiled is determined and predicted.
S302, determining the screening conditions of the gas station according to the predicted position to be refueled, the vehicle-mounted data and the preset refueled characteristic model.
S303, determining the target gas station from the set of the gas stations to be selected according to the gas station screening conditions.
S304, pushing the target activity message according to the information of the target gas station.
For the principle of steps S302 to S304 of the present embodiment, the technical term explanation may refer to the first embodiment S102 to S103 and the second embodiment S202 to S204, which are not repeated herein.
It should be noted that the above steps are closely combined with the historical habits of the user, the current position of the vehicle and the historical habit data of the user are input into the refueling characteristic model, and the screening condition corresponding to the current application scene is generated, so that the accurate prejudgment on the user requirements is realized, and the accuracy of information pushing is improved.
S305, if a target activity triggering instruction is received, taking the screening condition as data to be trained, and training the refueling characteristic model.
After information is pushed to a user, after the user uses a received coupon, a vehicle-mounted device or a mobile phone APP generates a target activity trigger instruction and sends the target activity trigger instruction to a server, the server receives the target activity trigger instruction and records the use intention of the user on the pushed coupon, so that the accuracy of the pushed message is judged, if the user uses the pushed coupon, the setting of a screening condition is proved to be effective, a preset refueling characteristic model can be perfected for the effective screening condition, namely, the refueling characteristic model is trained, so that the accuracy of message pushing is gradually improved in the process of pushing and feeding back once, meanwhile, feedback information of a drainage effect can be obtained, a drainage mechanism is perfected, the service type coverage of the pushed message is expanded, and the purpose of establishing an accurate message pushing model of various aspects of life services by taking the refueling coupon as a cut-in point is achieved, the intelligent delivery accurate delivery and efficient drainage effects are achieved as required.
The server determines a predicted position to be refueled according to the acquired vehicle-mounted data, determines a target gas station according to the predicted position to be refueled, pushes a target activity message according to information of the target gas station, and finally tracks feedback conditions of a user to the target activity message, collects screening conditions corresponding to effective target activity messages, takes the screening conditions as optimized training data of a user habit model, namely a preset refueling characteristic model, optimizes the user habit model, and continuously improves the accuracy of the push messages, so that the information of the vehicle and a specific service demand scene of the user are combined, accurate delivery of the service activity messages is realized, the push message conversion rate is improved, and efficient drainage is realized for a service provider.
Fig. 6 is a schematic structural diagram of a message pushing apparatus according to an embodiment of the present application, and as shown in fig. 6, the message pushing apparatus 200 according to the embodiment may include:
an obtaining module 201, configured to obtain vehicle-mounted data;
the processing module 202 is used for determining and predicting a position to be refueled according to the vehicle-mounted data;
the processing module 202 is further configured to determine a target gas station according to the predicted position to be refueled, the vehicle-mounted data and the preset refueling characteristic model;
the processing module 202 is further configured to push the target activity message according to the information of the target gas station.
In a possible design, the processing module 202 is further configured to determine a gas station screening condition according to vehicle-mounted data and a preset gas-filling feature model, where the vehicle-mounted data further includes a current remaining fuel amount and a fuel label;
the processing module 202 is further configured to determine the target gas station from a set of candidate gas stations according to the gas station screening condition, where the set of candidate gas stations is determined according to the predicted location to be refueled.
In one possible design, the processing module 202 is further configured to determine a target gas station from the set of gas stations to be selected based on the historical refueling behavior information, the predicted remaining fuel amount, the predicted refueling time, and the predicted location to be refueled.
In one possible design, the processing module 202 is further configured to determine a predicted position to be filled with fuel according to a historical trajectory of the vehicle and a current remaining fuel amount.
In one possible design, the processing module 202 is further configured to determine a target gas station from the set of gas stations to be selected based on one or more of the user identification information, the amount of fuel remaining in the vehicle, and the fuel designation.
In one possible design, the processing module 202 is further configured to determine the target gas station from a set of gas stations to be selected according to one or more of historical refueling behavior information, predicted fuel remaining amount, predicted refueling time, predicted location to be refueled, user identification information, vehicle fuel remaining amount, and fuel label.
In one possible design, the processing module 202 is further configured to push one or more of coupon information and operational activity information according to the information of the target gas station.
In a possible design, the processing module 202 is further configured to, after pushing a target activity message according to information of a target gas station, if a target activity trigger instruction is received, take a screening condition corresponding to the target activity message as data to be trained, where the target activity trigger instruction is used to configure a use state of the target activity message as a used state, and the data to be trained is used to train a preset fueling feature model
It should be noted that the message pushing apparatus in this embodiment shown in fig. 6 may be configured to implement the technical solution of any one of the message pushing method embodiments, and the implementation principle and the technical effect are similar, and are not described herein again.
Fig. 7 is a schematic structural diagram of a message pushing electronic device according to an embodiment of the present application, and as shown in fig. 7, the message pushing electronic device 300 according to the embodiment may include:
the memory 301 stores programs. In particular, the program may include program code including computer operating instructions.
The memory 301 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 301 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.
Alternatively, the memory 301 may be separate or integrated with the processor 302. When the memory 301 is a device independent from the processor 302, the electronic device 300 may further include:
a bus 303 for connecting the processor 302 and the memory 301. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, a Controller Area Network (CAN) bus, or the like. Buses may be classified as address buses, data buses, control buses, etc., but do not represent only one bus or type of bus.
Alternatively, in a specific implementation, if the memory 301 and the processor 302 are integrated on a chip, the memory 301 and the processor 302 may complete communication through an internal interface.
The present application also provides a computer-readable storage medium, which may include: a variety of media that can store program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and in particular, the computer-readable storage medium stores program instructions for the target gesture recognition method in the foregoing embodiments.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A message pushing method, comprising:
determining and predicting a position to be refueled according to acquired vehicle-mounted data, wherein the vehicle-mounted data is used for recording a historical track of a vehicle;
determining a target gas station according to the predicted position to be refueled, the vehicle-mounted data and a preset refueling characteristic model;
and pushing a target activity message according to the information of the target gas station.
2. The message pushing method as claimed in claim 1, wherein the determining the target gas station information according to the predicted location to be refueled, the vehicle-mounted data and a preset refueling characteristic model comprises:
determining a gas station screening condition according to the vehicle-mounted data and the preset refueling characteristic model, wherein the vehicle-mounted data further comprises the current remaining oil quantity and an oil label;
and determining the target gas station from a set of candidate gas stations according to the gas station screening conditions, wherein the set of candidate gas stations is determined according to the predicted position to be refueled.
3. The message pushing method according to claim 2, wherein the filtering condition comprises: historical refueling behavior information, predicted residual fuel quantity, predicted refueling time and predicted position to be refueled.
4. The message pushing method according to claim 2 or 3, wherein the determining the predicted position to be refueled according to the acquired vehicle-mounted data comprises:
and determining the predicted position to be refueled according to the historical track of the vehicle and the current remaining oil quantity.
5. The message pushing method according to claim 2 or 3, wherein the screening condition comprises: one or more of user identification information, vehicle remaining oil amount, and oil designation.
6. The message pushing method according to any one of claims 1-3, wherein the target activity message comprises: one or more of coupon push information and operational activity information.
7. The message pushing method according to claim 2 or 3, further comprising, after the pushing of the target activity message according to the information of the target gas station:
and if a target activity triggering instruction is received, taking the screening condition corresponding to the target activity message as data to be trained, wherein the target activity triggering instruction is used for configuring the use state of the target activity message into a used state, and the data to be trained is used for training the preset refueling characteristic model.
8. A message push apparatus, comprising:
the acquisition module is used for acquiring vehicle-mounted data, and the vehicle-mounted data is used for recording the historical track of the vehicle;
the processing module is used for determining and predicting a position to be refueled according to the vehicle-mounted data;
the processing module is further used for determining a target gas station according to the predicted position to be refueled, the vehicle-mounted data and a preset refueling characteristic model;
the processing module is further used for pushing a target activity message according to the information of the target gas station.
9. A message push electronic device, comprising:
a processor; and the number of the first and second groups,
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the message push method of any of claims 1 to 7 via execution of the executable instructions.
10. A computer-readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the message pushing method of any one of claims 1 to 7.
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