CN115577173A - Information pushing method, device, equipment and storage medium - Google Patents
Information pushing method, device, equipment and storage medium Download PDFInfo
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- CN115577173A CN115577173A CN202211217015.4A CN202211217015A CN115577173A CN 115577173 A CN115577173 A CN 115577173A CN 202211217015 A CN202211217015 A CN 202211217015A CN 115577173 A CN115577173 A CN 115577173A
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Abstract
The invention discloses an information pushing method, an information pushing device, information pushing equipment and a storage medium, and belongs to the technical field of vehicle communication. According to the invention, vehicle owner information, vehicle information and interaction information between a vehicle owner and a vehicle are obtained; generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information; acquiring real-time driving data in the driving process of a vehicle; determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data; according to the vehicle owner label weight and the vehicle label weight, information pushing is carried out on a user through combination of the vehicle label and the vehicle owner label, the personalized label can be closer to the real habit of the user, personalized recommendation of thousands of people and thousands of faces is achieved, meanwhile, due to the fact that the vehicle label is combined, information pushing is more in line with the actual driving environment of a vehicle owner, and accuracy and reality of information pushing are improved.
Description
Technical Field
The present invention relates to the field of vehicle communication technologies, and in particular, to an information pushing method, an information pushing apparatus, an information pushing device, and a storage medium.
Background
An Artificial Intelligence (AI) recommendation system is used for inferring the current requirements of a user by analyzing user behaviors through user data, and mainly comprises data acquisition, data processing, recommendation calculation, model training and the like.
At present, an AI recommendation system is already applied to an automobile, and actively recommends scenes and modes for a user by collecting vehicle and user data, but at present, three main problems exist: the behavior of the user can be analyzed more accurately only by collecting data, so that the inferred behavior of the user is closer to the real habit of the user; how the analyzed data is processed and applied to recommendation calculation, so that the actively recommended scene can better meet the requirements of the user and is accepted by the user; and if the recommended content is rejected by the user, optimizing according to the feedback result of the user.
The current AI recommendation system cannot accurately analyze the behaviors of the user, and only the behavior habits of the user are referred to in the recommendation process without considering the actual driving environment of the user.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an information pushing method, an information pushing device, information pushing equipment and a storage medium, and aims to solve the technical problems that the prior art cannot accurately analyze the behaviors of users, and only the behavior habits of the users are referred to in the recommendation process, and the actual driving environment of the users is not considered.
In order to achieve the above object, the present invention provides an information pushing method, including the following steps:
acquiring owner information, vehicle information and interaction information between an owner and a vehicle;
generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information;
acquiring real-time driving data in the driving process of a vehicle;
determining the weight of an owner label corresponding to the owner label and the weight of a vehicle label corresponding to the vehicle label according to the real-time driving data;
and pushing information according to the owner label weight and the vehicle label weight.
Optionally, the determining, according to the real-time driving data, an owner label weight corresponding to the owner label and a vehicle label weight corresponding to the vehicle label includes:
determining the current vehicle state and the information pushing type according to the real-time driving data;
and determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the current vehicle state and the information push type.
Optionally, the pushing information according to the owner tag weight and the vehicle tag weight includes:
determining an information pushing type according to the real-time driving data;
and carrying out information push according to the information push type, the owner label weight and the vehicle label weight.
Optionally, the pushing information according to the information pushing type, the owner label weight, and the vehicle label weight includes:
when the information push type is a first type, determining a target label referred to in information push according to the owner label weight and the vehicle label weight;
when the target labels referred to in the information pushing process are the car owner label and the vehicle label, the information pushing is carried out according to the historical pushing frequency corresponding to the habit of the user;
and when the target label referred to in the information pushing process is the vehicle label, the information pushing is carried out according to the set pushing frequency.
Optionally, the pushing information according to the information pushing type, the owner label weight, and the vehicle label weight includes:
when the information pushing type is a second type, determining a label referred to in information pushing according to the owner label weight and the vehicle label weight;
when the target label referred to in the information pushing process is the owner label, pushing information according to the historical vehicle parameter value corresponding to the habit of the user;
and when the target label referred to in the information pushing process is the vehicle label, pushing the information according to the set vehicle parameter value.
Optionally, the pushing information according to the information pushing type, the owner label weight, and the vehicle label weight includes:
when the information push type is a third type, acquiring a plurality of recommended scenes;
determining scene scores corresponding to all recommended scenes according to the owner label weight and the vehicle label weight;
screening out a plurality of reference recommendation scenes of which the scene scores are larger than a preset score threshold value from the recommendation scenes;
sorting the reference recommendation scenes according to the scores, and taking the reference recommendation scene with the highest score as a target recommendation scene;
and pushing information according to the target recommendation scene.
Optionally, after the information is pushed according to the target recommendation scenario, the method further includes:
receiving feedback information input by a user based on the push information;
and adjusting scene scores corresponding to the recommended scenes according to the feedback information.
In addition, to achieve the above object, the present invention further provides an information pushing apparatus, including:
the acquisition module is used for acquiring owner information, vehicle information and interaction information between an owner and a vehicle;
the generating module is used for generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information;
the acquisition module is also used for acquiring real-time driving data in the driving process of the vehicle;
the calculation module is used for determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data;
and the pushing module is used for pushing information according to the owner label weight and the vehicle label weight.
In addition, to achieve the above object, the present invention further provides an information pushing apparatus, including: the information push program is configured to realize the information push method.
Furthermore, in order to achieve the above object, the present invention also provides a storage medium, which stores an information pushing program, and the information pushing program realizes the information pushing method as described above when executed by a processor.
According to the invention, vehicle owner information, vehicle information and interaction information between a vehicle owner and a vehicle are obtained; generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information; acquiring real-time driving data in the driving process of a vehicle; determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data; according to the vehicle owner label weight and the vehicle label weight, information pushing is carried out on a user through combination of the vehicle label and the vehicle owner label, the personalized label can be closer to the real habit of the user, personalized recommendation of thousands of people and thousands of faces is achieved, meanwhile, due to the fact that the vehicle label is combined, information pushing is more in line with the actual driving environment of a vehicle owner, and accuracy and reality of information pushing are improved.
Drawings
Fig. 1 is a schematic structural diagram of an information pushing device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of an information pushing method according to the present invention;
FIG. 3 is a schematic diagram of a recommendation system architecture in an embodiment of an information push method of the present invention;
FIG. 4 is a flowchart illustrating a second embodiment of an information pushing method according to the present invention;
fig. 5 is a block diagram of an information pushing apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an information push device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the information pushing apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the information pushing device, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include an operating system, a network communication module, a user interface module, and an information push program therein.
In the information push apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the information pushing apparatus of the present invention may be provided in the information pushing apparatus, and the information pushing apparatus calls the information pushing program stored in the memory 1005 through the processor 1001 and executes the information pushing method provided by the embodiment of the present invention.
An embodiment of the present invention provides an information push method, and referring to fig. 2, fig. 2 is a schematic flowchart of a first embodiment of an information push method according to the present invention.
In this embodiment, the information pushing method includes the following steps:
step S10: and acquiring owner information, vehicle information and interaction information between the owner and the vehicle.
In this embodiment, the execution main body of this embodiment may be the information pushing device, and the information pushing device has functions of data processing, data communication, program operation, and the like. The information pushing device may be a terminal device such as a vehicle-mounted computer, and certainly, may also be other devices with similar functions, which is not limited by this implementation condition. For convenience of description, the present embodiment will be described by taking an information push apparatus as an example.
It should be noted that, at present, there are two main push modes, one of which is to recommend content to a user according to a predetermined rule, the rule input only includes vehicle data and the like, there is no behavior data of the user, and the push mode directly performs push for the user when meeting the condition of entering the scene, and updates the push frequency according to the feedback accepted or rejected by the user, for example: and (3) formulating a recommendation rule, when the vehicle is Xkm away from a gas station, the gear is X gear, and the residual oil amount is less than XX%, propelling XX refueling APP, and all users judge according to the same rule, so that the personalized intelligent recommendation of thousands of people cannot be realized. Another method generally includes a scene recognition model and an action execution model, and recognizes whether a user vehicle currently meets recommended scene judgment conditions through calculation methods such as deep learning and neural network, and after the scene recommendation conditions are met, the action is recommended by combining vehicle owner preferences, for example: and automatically opening the air conditioner according to the air temperature, the window and the air conditioner state, and setting the temperature to be the temperature which the user is accustomed to, but after the user refuses the recommended content, the reason for refusing the user cannot be further analyzed, and the scene cannot be optimized.
In order to solve the technical problem, when information is pushed to a user, not only the user information is considered, but also the vehicle information is combined, and the information is pushed to the user based on the user information and the vehicle information.
In a specific implementation, the recommendation system architecture of the present embodiment is described with reference to fig. 3 as an example. Referring to fig. 3, the recommendation system architecture in this embodiment includes four parts, namely, a data collection part, a user analysis part, a recommendation model and a push system, where the data collection part is used to collect user data and vehicle data, the user analysis part is used to perform feature extraction on the collected data and generate a personalized tag, the recommendation model is used to set a weight for the personalized tag and perform scene arbitration to determine a recommended scene, and the push system is used to execute a recommended action in combination with a vehicle state and record interaction information of a user and feed the interaction information back to the recommendation model.
In a specific implementation, in this embodiment, before generating the owner tag and the vehicle tag, owner information, vehicle information, and interaction information between the owner and the vehicle need to be obtained, where the owner information includes, but is not limited to, owner age, owner residence area, owner contact information, and device information used by the owner, the vehicle information includes, but is not limited to, vehicle Identification Number (VIN), delivery date, maintenance date, and maintenance accessory, and the interaction information includes, but is not limited to, APP usage frequency, navigation destination, music type, and air conditioning temperature.
Step S20: and generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information.
In specific implementation, a user personalized tag matrix is generated through data acquisition and data fusion, a vehicle owner tag can be obtained after driving data, vehicle owner information and interactive information are fused, such as air conditioner temperature preference, vehicle window opening preference, music type preference, driving behavior preference (fierce and peaceful) and the like, and vehicle characteristic data can be obtained after driving data and vehicle information are fused, such as a fast-slow charging ratio, accumulated driving time, a maintenance period, daily average driving frequency, alarm information and the like.
In this embodiment, the generated car owner label is shown in table one, and the generated vehicle label is shown in table two, for example.
Table one:
table two:
step S30: and acquiring real-time driving data in the driving process of the vehicle.
In this embodiment, it is further required to further obtain real-time driving data of the vehicle during driving, where the real-time driving data of the vehicle during driving includes, but is not limited to, a vehicle speed, a gear, an air conditioner state, and an engine state.
Step S40: and determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data.
In a specific implementation, when the real-time driving data is acquired, in this embodiment, the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label may be further determined according to the real-time driving data. Specifically, in this embodiment, a current vehicle state and an information push type may be determined according to real-time driving data, the current vehicle state includes a parking state, a driving state, and a parking state, the information push type includes a warning type, a reminding type, and a recommendation type, and tag weights corresponding to different vehicle states and different information push types are different.
Table three:
in the present embodiment, for the information push for warning, in the parking state, the vehicle tag weight B1 is much larger than the user tag weight, and in the parking state, the vehicle tag weight B2 is also much larger than the user tag weight A2. Aiming at information pushing of the reminding class, under the driving state, the weight B4 of the vehicle label is larger than the weight A4 of the user label. For push-type information push, in a parking state, the user tag weight A6 is far greater than the vehicle tag weight B6, in a driving state, the user tag weight A7 is greater than the vehicle tag weight B7, and in a parking state, the user tag weight A8 is far greater than the vehicle tag weight B8. The embodiment provides an implementation manner, specifically, a weight difference threshold may be set in this embodiment, and when a difference between the user tag weight and the vehicle tag weight is greater than the weight difference threshold, it indicates that the user tag weight is far smaller than or far greater than the vehicle tag weight.
Step S50: and pushing information according to the owner label weight and the vehicle label weight.
In specific implementation, after the owner label weight and the vehicle label weight are obtained in this embodiment, a corresponding push mode may be selected based on different owner label weights and different vehicle label weights in this embodiment, and then information push is performed. For example, in the case of warning information push, if a seat belt is not fastened, in the parking state, the user tag weight is A1, the vehicle tag weight is B1, and B1 > A1, in the parking state, the vehicle tag is preferentially considered, and the user tag is also considered, and the driver/copilot is not fastened with the seat belt, and seat belt reminding is recommended, and if the user rejects, the push frequency is updated and the push is reduced, but in the driving state, the vehicle tag weight is 1, and the user tag weight is 0, only the vehicle tag is considered, and the seat belt reminding is performed, and the user rejects to push according to the set frequency.
In the embodiment, vehicle owner information, vehicle information and interaction information between a vehicle owner and a vehicle are acquired; generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information; acquiring real-time driving data in the driving process of a vehicle; determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data; according to the vehicle owner label weight and the vehicle label weight, information pushing is carried out on a user through combination of the vehicle label and the vehicle owner label, the personalized label can be closer to the real habit of the user, personalized recommendation of thousands of people and thousands of faces is achieved, meanwhile, due to the fact that the vehicle label is combined, information pushing is more in line with the actual driving environment of a vehicle owner, and accuracy and reality of information pushing are improved.
Referring to fig. 4, fig. 4 is a flowchart illustrating an information pushing method according to a second embodiment of the present invention.
Based on the first embodiment, in the information pushing method according to this embodiment, the step S50 specifically includes:
step S501: and determining an information pushing type according to the real-time driving data.
In specific implementation, after the real-time driving data is acquired, in this embodiment, an information push type that needs to be pushed at this time may be determined according to the real-time driving data, for example, a safety belt is not fastened, the information push type at this time is a warning type, when the oil/electricity amount is low, the corresponding information push type is a reminding type, when a child takes a vehicle in a time period of 00-8, when the outside temperature is higher than 30 ℃, the destination is a central kindergarten, and the information push type at this time is a recommendation type.
Step S502: and carrying out information push according to the information push type, the owner label weight and the vehicle label weight.
In specific implementation, information pushing can be performed based on the information pushing type, the owner label weight and the vehicle label weight.
Further, in this embodiment, when the information push type is a first type, the target tag referred to in the information push is determined according to the owner tag weight and the vehicle tag weight in this embodiment, where the target tag is a main tag referred to in the information push, and the first type in this embodiment is warning information. When the target tag referred to in the information push in this embodiment is an owner tag and a vehicle tag, that is, when the owner tag and the owner tag are considered at the same time, the information push may be performed according to the historical push frequency corresponding to the behavior habit of the user in this embodiment, and when the target tag referred to in the information push is a vehicle tag, that is, when only the vehicle tag is considered, the habit of the user may not be referred to in this embodiment, that is, the information push may be performed according to the set push frequency. For example, in the case of warning, for example, when a seat belt is not fastened for warning, in a parking/parking state, a vehicle tag is considered preferentially, a user tag is also considered, that is, a target tag at this time is an owner tag and a vehicle tag, and a driver/copilot does not fasten a seat belt, a seat belt reminder is recommended, if the user rejects, the frequency of the push is updated to reduce the push, and then, in the next push, information is pushed based on a frequency corresponding to a behavior habit of the user. The set frequency may be set according to actual conditions, which is not limited in this embodiment.
Further, in this embodiment, when the information push type is a second type, the target tag referred to in the information push is also determined according to the owner tag weight and the vehicle tag weight in this embodiment, where the target tag is a main tag referred to in the information push, and the second type in this embodiment is information of a reminder type. When the target tag referred to in the information push in this embodiment is an owner tag, that is, only the owner tag is considered, the information push is performed according to the historical vehicle parameter value corresponding to the behavior habit of the user in this embodiment when the reminding type information is the reminding type information, and when the target tag referred to in the information push is a vehicle tag, that is, only the vehicle tag is considered, the habit of the user is not referred to in this embodiment, that is, the information push is performed according to the set vehicle parameter value. For example, in a parking/parking state, a user tag is preferentially considered, that is, when a target tag is an owner tag, according to a fueling/charging habit of a user, fueling/charging scene recommendation is performed when different users reach different fuel/electric quantity thresholds, but in a driving state, a vehicle tag is preferentially considered, that is, when the target tag is the vehicle tag, for example, when the fuel/electric quantity is low, the user is reminded to perform fueling or charging.
The embodiment also provides a mode, and specifically, according to the activity area label of the user, if the user basically gives priority to short-distance activities, the user can be reminded under the condition that the oil amount is relatively low according to the habit of the user; if the activity area of the user is large, for example, a certain mileage is often exceeded in the past month, or the mileage is variable, the habit of the user is violated, and the user is reminded to refuel or charge when the oil amount is relatively high. Therefore, for example, charging or refueling is taken as an example, and the reminding is different under the same condition that the user uses different vehicles.
Further, in this embodiment, when the information push type is a third type, the third type is a recommendation type, for this type, a plurality of recommendation scenes are provided in this embodiment, and each recommendation scene has a different scene score, and in this embodiment, the scene score corresponding to each recommendation scene may be determined according to the owner label weight and the vehicle label weight. It should be noted that the recommendation scene in this embodiment includes personalized data of the user, that is, based on different personalized data of the user, the recommendation scenes preset for different users in this embodiment are different, and thousands of people can be personalized recommended. In this embodiment, a scene score threshold is further set for the recommended scenes, before the pushed information is generated according to the recommended scenes, in this embodiment, a plurality of reference recommended scenes with scene scores larger than a preset score threshold are screened out according to the scene score threshold, then, the reference recommended scenes are subjected to score size sorting, and finally, the reference recommended scene with the highest score is used as the target recommended scene. For example gather after car owner information, gear, speed of a motor vehicle, air conditioner temperature, interior temperature of car, the temperature of car outside, fragrance, air purifier, children's seat, door window, multimedia music type, navigation destination etc. data, obtain when children 7-8 00 time quantum take the vehicle, the outside temperature is higher than when 30 ℃, can close the door window, opens the air conditioner (the temperature preference is 26 ℃), fragrance system closes, plays the songbook, the destination is central kindergarten, can generate three kinds of recommended scenes this moment, for example scene 1: close the door window, open the air conditioner, open air purifier, set for the temperature 26 degrees centigrade, play the children song and inquire whether navigate to central kindergarten, scene 2: close the door window, open the air conditioner, open air purifier, open fragrance, open the seat massage, scene 3: the atmosphere lamp was turned on. Further, assuming that the preset score of the scene 1 is 0.8, the preset score of the scene 2 is 0.7, the preset score of the scene 3 is 0.5, and the preset score threshold is 0.6, in this embodiment, information is pushed to the user according to the scene 1, where the pushed information includes prompting the user to close a window, open an air conditioner, open an air purifier, set a temperature of 26 degrees celsius, and simultaneously inquiring whether the user navigates to a central kindergarten.
Further, after the information is pushed to the user, feedback information of the user based on the pushed information may be received in this embodiment, for example, the user may select to accept the recommendation or reject the recommendation through a central control screen or other devices, if the user accepts, the preset score of the scene may be increased, otherwise, if the user rejects, the preset score of the scene may be decreased, and the preset score of the scene and the preset score threshold may be set correspondingly according to actual needs of the user, which is not limited in this embodiment.
In this embodiment, an implementation manner is also provided for the third type of information push, specifically, after the user selects to accept the recommendation, if the user accepts some suggestions in the recommendation, for example, the recommendation is to close a window, open an air conditioner, and open an air purifier, but only open the air conditioner, and open the air purifier, but open the window, for this case, in this embodiment, the scene is modified based on the operation of the user this time, and the scene recommendation next time becomes the recommendation to open the window, open the air conditioner, and open the air purifier.
The embodiment adopts different modes to newly push the user according to different information pushing types, can acquire feedback of the user to the pushed information after the user is pushed, and correspondingly optimizes information pushing every time based on the feedback of the user, so that the real behavior habit of the user can be better met, and the user experience is improved.
Furthermore, an embodiment of the present invention further provides a storage medium, where an information pushing program is stored, and the information pushing program, when executed by a processor, implements the steps of the information pushing method described above.
Since the storage medium adopts all technical solutions of all the above embodiments, at least all the beneficial effects brought by the technical solutions of the above embodiments are achieved, and details are not repeated herein.
Referring to fig. 5, fig. 5 is a block diagram of the first embodiment of the information pushing apparatus according to the present invention.
As shown in fig. 5, an information pushing apparatus according to an embodiment of the present invention includes:
the obtaining module 10 is used for obtaining owner information, vehicle information and interaction information between an owner and a vehicle.
And the generating module 20 is configured to generate an owner label and a vehicle label according to the owner information, the vehicle information, and the interaction information.
The obtaining module 10 is further configured to obtain real-time driving data in the driving process of the vehicle.
And the calculation module 30 is configured to determine an owner label weight corresponding to the owner label and a vehicle label weight corresponding to the vehicle label according to the real-time driving data.
And the pushing module 40 is used for pushing information according to the owner label weight and the vehicle label weight.
In the embodiment, vehicle owner information, vehicle information and interaction information between a vehicle owner and a vehicle are acquired; generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information; acquiring real-time driving data in the driving process of a vehicle; determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data; according to the vehicle owner label weight and the vehicle label weight, information pushing is carried out on a user through combination of the vehicle label and the vehicle owner label, the personalized label can be closer to the real habit of the user, personalized recommendation of thousands of people and thousands of faces is achieved, meanwhile, due to the fact that the vehicle label is combined, information pushing is more in line with the actual driving environment of a vehicle owner, and accuracy and reality of information pushing are improved.
In an embodiment, the calculation module 30 is further configured to determine a current vehicle state and an information push type according to the real-time driving data; and determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the current vehicle state and the information push type.
In an embodiment, the pushing module 40 is further configured to determine an information pushing type according to the real-time driving data; and carrying out information push according to the information push type, the owner label weight and the vehicle label weight.
In an embodiment, the pushing module 40 is further configured to, when the information pushing type is a first type, determine a target tag referred to in information pushing according to the owner tag weight and the vehicle tag weight; when the target tags referred to in the information pushing process are the owner tags and the vehicle tags, the information pushing is carried out according to the historical pushing frequency corresponding to the habit of the user; and when the target label referred to in the information pushing process is the vehicle label, the information pushing is carried out according to the set pushing frequency.
In an embodiment, the pushing module 40 is further configured to, when the information pushing type is a second type, determine a tag referred to in information pushing according to the owner tag weight and the vehicle tag weight; when the target label referred to in the information pushing process is the owner label, pushing information according to the historical vehicle parameter value corresponding to the habit of the user; and when the target label referred to in the information pushing process is the vehicle label, pushing the information according to the set vehicle parameter value.
In an embodiment, the pushing module 40 is further configured to obtain a plurality of recommended scenes when the information pushing type is a third type; determining scene scores corresponding to all recommended scenes according to the owner label weight and the vehicle label weight; screening out a plurality of reference recommendation scenes of which the scene scores are larger than a preset score threshold value from the recommendation scenes; sorting the reference recommendation scenes according to the scores, and taking the reference recommendation scene with the highest score as a target recommendation scene; and pushing information according to the target recommendation scene.
In an embodiment, the push module 40 is further configured to receive feedback information input by a user based on the push information; and adjusting scene scores corresponding to the recommended scenes according to the feedback information.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, technical details that are not described in detail in this embodiment may refer to the information pushing method provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (10)
1. An information pushing method, characterized in that the information pushing method comprises:
acquiring owner information, vehicle information and interaction information between an owner and a vehicle;
generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information;
acquiring real-time driving data in the driving process of a vehicle;
determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data;
and pushing information according to the owner label weight and the vehicle label weight.
2. The information pushing method according to claim 1, wherein the determining the owner tag weight corresponding to the owner tag and the vehicle tag weight corresponding to the vehicle tag according to the real-time driving data includes:
determining the current vehicle state and the information pushing type according to the real-time driving data;
and determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the current vehicle state and the information push type.
3. The information push method according to claim 1, wherein the pushing information according to the owner tag weight and the vehicle tag weight comprises:
determining an information pushing type according to the real-time driving data;
and carrying out information push according to the information push type, the vehicle owner label weight and the vehicle label weight.
4. The information push method according to claim 3, wherein the pushing information according to the information push type, the owner label weight, and the vehicle label weight comprises:
when the information pushing type is a first type, determining a target label referred to in information pushing according to the owner label weight and the vehicle label weight;
when the target tags referred to in the information pushing process are the owner tags and the vehicle tags, the information pushing is carried out according to the historical pushing frequency corresponding to the habit of the user;
and when the target label referred to in the information pushing process is the vehicle label, the information pushing is carried out according to the set pushing frequency.
5. The information push method according to claim 3, wherein the pushing information according to the information push type, the owner label weight, and the vehicle label weight comprises:
when the information pushing type is a second type, determining a label referred to in information pushing according to the owner label weight and the vehicle label weight;
when the target label referred to in the information pushing process is the owner label, pushing information according to the historical vehicle parameter value corresponding to the habit of the user;
and when the target label referred to in the information pushing process is the vehicle label, pushing the information according to the set vehicle parameter value.
6. The information push method according to claim 3, wherein the pushing information according to the information push type, the owner label weight, and the vehicle label weight comprises:
when the information push type is a third type, acquiring a plurality of recommended scenes;
determining scene scores corresponding to all recommended scenes according to the owner label weight and the vehicle label weight;
screening a plurality of reference recommendation scenes of which the scene scores are larger than a preset score threshold value from the plurality of recommendation scenes;
sorting the reference recommendation scenes according to the scores, and taking the reference recommendation scene with the highest score as a target recommendation scene;
and pushing information according to the target recommendation scene.
7. The information push method according to claim 6, further comprising, after the information push according to the target recommendation scenario:
receiving feedback information input by a user based on the push information;
and adjusting scene scores corresponding to the recommended scenes according to the feedback information.
8. An information pushing apparatus, characterized in that the information pushing apparatus comprises:
the acquisition module is used for acquiring owner information, vehicle information and interaction information between an owner and a vehicle;
the generating module is used for generating an owner label and a vehicle label according to the owner information, the vehicle information and the interaction information;
the acquisition module is also used for acquiring real-time driving data in the driving process of the vehicle;
the calculation module is used for determining the owner label weight corresponding to the owner label and the vehicle label weight corresponding to the vehicle label according to the real-time driving data;
and the pushing module is used for pushing information according to the owner label weight and the vehicle label weight.
9. An information push apparatus, characterized in that the information push apparatus comprises: a memory, a processor and an information push program stored on the memory and running on the processor, the information push program being configured to implement the information push method according to any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium has stored thereon an information push program, which when executed by a processor implements the information push method according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116055553A (en) * | 2023-01-09 | 2023-05-02 | 中国第一汽车股份有限公司 | Method, system and device for processing vehicle push information |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116055553A (en) * | 2023-01-09 | 2023-05-02 | 中国第一汽车股份有限公司 | Method, system and device for processing vehicle push information |
| CN116055553B (en) * | 2023-01-09 | 2024-10-11 | 中国第一汽车股份有限公司 | Method, system and device for processing vehicle push information |
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