CN109948064B - User recommendation method, user recommendation information display method, device, electronic equipment and medium - Google Patents
User recommendation method, user recommendation information display method, device, electronic equipment and medium Download PDFInfo
- Publication number
- CN109948064B CN109948064B CN201910253045.2A CN201910253045A CN109948064B CN 109948064 B CN109948064 B CN 109948064B CN 201910253045 A CN201910253045 A CN 201910253045A CN 109948064 B CN109948064 B CN 109948064B
- Authority
- CN
- China
- Prior art keywords
- user
- information
- driving
- preference information
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
The application provides a user recommendation method and device, a recommendation information display method and device, an electronic device and a computer readable medium. The user recommendation method comprises the following steps: acquiring driving feature information of a first user, wherein the driving feature information comprises at least one of driving preference information and vehicle preference information; determining at least one second user matched with the first user according to the driving feature information; recommending the at least one second user to the first user. Because the driving preference information and/or the vehicle preference information can accurately and comprehensively reflect the information of hobbies, characters, behavior habits and the like of the user, the second user obtained by matching through the method has higher probability of successful friend making with the first user, namely the user recommendation method has higher accuracy, and the success rate of friend making can be effectively improved.
Description
Technical Field
The application relates to the technical field of internet, in particular to a user recommendation method and device, a recommendation information display method and device, an electronic device and a computer readable medium.
Background
With the rapid development of the internet and the popularization of mobile terminals such as mobile phones, various social applications or applications with social functions are emerging, and channels through which people communicate with each other are becoming faster and more colorful.
Based on the social application, the user often needs to add more strangers to friends so as to meet the requirements of the user on expanding the communication range and the interpersonal range through further communication.
In order to meet the requirements, part of social applications provide a function of recommending friends for the user according to user attribute information such as gender and age input by the user, but in practical applications, the friends recommended in the above manner are often handed out due to different interests and hobbies, improper characters and the like, so that friend making fails, and a great amount of precious energy and time of the user are wasted.
Therefore, it is desirable to provide a friend recommendation method with higher accuracy to improve the success rate of making friends.
Disclosure of Invention
The application aims to provide a user recommendation method and device, a recommendation information display method and device, electronic equipment and a computer readable medium.
A first aspect of the present application provides a user recommendation method, including: acquiring driving feature information of a first user, wherein the driving feature information comprises at least one of driving preference information and vehicle preference information; determining at least one second user matched with the first user according to the driving feature information; recommending the at least one second user to the first user.
A second aspect of the present application provides a user recommendation apparatus, including: the driving characteristic determination module is used for determining driving characteristic information of the first user, and the driving characteristic information comprises at least one of driving preference information and vehicle preference information; the second user matching module is used for determining at least one second user matched with the first user according to the driving feature information; and the user recommending module is used for recommending the at least one second user to the first user.
A third aspect of the present application provides a recommendation information display method, for a client, including: uploading at least one of the driving feature information, the driving behavior data and the vehicle attribute information of the first user to a server; receiving friend recommendation information which is returned by the server and is used for recommending at least one second user to the first user, wherein the second user is determined by the server according to at least one of the driving characteristic information, the driving behavior data and the vehicle attribute information; and displaying the friend recommendation information.
A fourth aspect of the present application provides a multimedia resource display apparatus, comprising: the information uploading module is used for uploading at least one of the driving feature information, the driving behavior data and the vehicle attribute information of the first user to a server; the recommendation information receiving module is used for receiving friend recommendation information which is returned by the server and is used for recommending at least one second user to the first user, wherein the second user is determined by the server according to at least one of the driving feature information, the driving behavior data and the vehicle attribute information; and the recommendation information display module is used for displaying the friend recommendation information.
A fifth aspect of the present application provides an electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing when executing the computer program to implement the method of the first or third aspect of the application.
A sixth aspect of the present application provides a computer readable medium having computer readable instructions stored thereon, the computer readable instructions being executable by a processor to implement the method of the first or third aspect of the present application.
Compared with the prior art, the user recommendation method provided by the first aspect of the application determines the driving feature information of the first user, wherein the driving feature information includes driving preference information and/or vehicle preference information, determines at least one second user matched with the first user according to the driving feature information, and then recommends the at least one second user to the first user, so that friends can be recommended to the first user according to the driving preference information and/or the vehicle preference information of the user, and because the driving preference information and/or the vehicle preference information can accurately and comprehensively reflect the hobby, personality, behavior habits and other information of the user, the second user obtained by matching through the method has a higher probability of making friends with the first user successfully, namely the user recommendation method has a higher accuracy, the success rate of making friends can be effectively improved.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 illustrates a flow chart of a user recommendation method provided by some embodiments of the present application;
FIG. 2 illustrates a schematic diagram of a user recommendation device provided by some embodiments of the present application;
FIG. 3 illustrates a flow chart of a method of displaying recommendation information provided by some embodiments of the present application;
FIG. 4 illustrates a schematic diagram of a recommendation information display device provided by some embodiments of the present application;
FIG. 5 illustrates a schematic diagram of an electronic device provided by some embodiments of the present application;
FIG. 6 illustrates a schematic diagram of a computer-readable medium provided by some embodiments of the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.
In addition, the terms "first" and "second", etc. are used to distinguish different objects, rather than to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the application provides a user recommendation method and device, a recommendation information display method and device, an electronic device and a computer readable medium, which are described below with reference to the accompanying drawings.
Referring to fig. 1, which illustrates a flowchart of a user recommendation method according to some embodiments of the present application, as shown in the figure, the user recommendation method may include the following steps:
step S101: the method comprises the steps of obtaining driving feature information of a first user, wherein the driving feature information comprises at least one of driving preference information and vehicle preference information.
In some embodiments of the present application, the driving characteristic information may be provided by the first user, for example, a driving characteristic editing page may be provided, in which some options related to the driving characteristic information are set, for example, whether the driving style is steady or stimulating, whether the driving is a car or an off-road vehicle, and the like.
In other embodiments of the present application, the driving characteristic information may be automatically determined by a server or a client according to basic driving data of the first user, where the basic driving data includes at least one of driving behavior data and vehicle attribute information of a vehicle driven by the first user. The driving behavior data or the vehicle attribute information can be acquired after the authorization of the user is obtained.
For example, in some embodiments, the driving characteristic information includes the driving preference information, and the obtaining the driving characteristic information of the first user may include:
acquiring driving behavior data of the first user;
determining driving preference information of the first user according to the driving behavior data.
The driving behavior data can include but is not limited to at least one of vehicle driving data, violation data, user action data and user voice data in the driving process, the data are the external embodiment of the character, driving habits and behavior habits of the first user, therefore, the driving preference information determined according to the driving behavior data can reflect the character, driving habits, behavior habits and other information of the first user to a certain extent, the information can reflect the user characteristics to a great extent, and therefore, friends are recommended for the first user according to the driving preference information determined according to the driving behavior data, the recommendation accuracy can be effectively improved, and the friend making success rate is improved.
Specifically, in some embodiments, the driving behavior data includes at least one of vehicle driving data, violation data, user action data during driving, and user voice data, and the driving preference information includes at least one of vehicle speed preference information, rule keeping preference information, motivation preference information, and irritability preference information;
the determining driving preference information of the first user according to the driving behavior data includes at least one of:
determining vehicle speed preference information of the first user according to the vehicle running data;
determining the rule-keeping preference information of the first user according to the violation data;
determining the action preference information of the first user according to the user action data in the driving process;
and determining the irritability preference information of the first user according to the user voice data in the driving process.
According to the embodiment, the driving preference information can be described from multiple dimensions such as vehicle speed, rule keeping, behavior improvement and irritability, and the like, so that the personality characteristics, rule keeping awareness, autonomy, behavior habits and the like of the user can be reflected. The driving preference information may be a quantitative driving preference index obtained through calculation, or may be a driving preference label obtained through qualitative determination, which may be used for matching to obtain a second user, and the embodiment of the present application is not limited.
For example, in some embodiments, the vehicle driving track and the vehicle speed information may be obtained through the vehicle driving data, in practical applications, the vehicle driving track may be divided into a plurality of road segments, each road segment may have a corresponding speed limit requirement due to different road conditions, and the vehicle speed preference index of the first user may be determined according to a comparison result (e.g., a difference value, a ratio value, etc.) between a vehicle speed and the upper limit speed limit value, for example, the upper limit speed limit value of a certain road segment is 60, and if an average vehicle speed of the vehicle in the road segment is 70, the vehicle speed preference index may be calculated by using the ratio value to obtain 70/60 ═ 1.17, which indicates that the vehicle owner likes fast driving, and the personality may be relatively urgent or like adventure, stimulation, etc.; if the average speed of the vehicle on the road section is 30, the vehicle speed preference index can be obtained by utilizing the ratio calculation to obtain 30/60 which is 0.5, so that the vehicle owner likes to drive slowly, is careful and belongs to a chronic section; if the average speed of the vehicle on the road section is 50, the vehicle speed preference index can be obtained by calculating the ratio 50/60 to 0.83, which indicates that the vehicle owner has moderate driving speed, stable character and relaxation degree. Through the vehicle speed preference index, the character characteristics and the driving habits of the first user can be well reflected, and the second user with similar characters can be matched, so that the friend making success rate is improved.
It should be noted that, in the above exemplary description, the manner of determining the vehicle speed preference index is described only by taking a road segment as an example, in practical applications, vehicle driving data of a long distance over a period of time may be counted, and the vehicle speed preference index of the first user is determined comprehensively according to the vehicle speed condition of each road segment, so that higher accuracy is achieved, and a suitable second user may be matched to the first user more accurately.
Based on the above description, the vehicle speed preference information may not be limited to the vehicle speed preference index, but may also be a vehicle speed preference tag, for example, a plurality of vehicle speed preference tags such as a low-speed type, a slow-speed type, a moderate type, a fast type, and a high-speed type may be set according to the vehicle speed preference, and then a corresponding vehicle speed preference tag may be allocated to the first user according to the vehicle driving data of the first user, and in the subsequent matching process, a second user having the same vehicle speed preference tag may be matched to the first user, so as to improve the success rate of making friends.
In addition, based on the above embodiments, in some modified embodiments, the vehicle preference information may also be determined comprehensively in combination with information such as a curvature of a vehicle speed changing along with time, which is not described herein again, and a person skilled in the art may flexibly modify and implement the vehicle preference information in combination with actual needs to obtain the vehicle preference information, which is not limited in the embodiment of the present application.
Similarly, in some modification embodiments, violation data of the first user may be called from a traffic management department, and the rule keeping preference information of the first user may be determined according to the violation data, where the rule keeping preference information may reflect the personality characteristics of the first user, such as autonomy and self-control ability, and is helpful for matching to obtain a more appropriate second user.
In consideration of the fact that the first user may have different rule keeping characteristics between monitoring and non-monitoring, for example, on the monitored road section, the traffic regulations are strictly complied with, and on the non-monitored road section, the first user often runs in violation of driving, such as running a red light, speeding and the like, and the performance of the first user without monitoring more truly reflects the character characteristics of the first user. Therefore, in some modifications of the above embodiments, a monitoring device or a driving recorder may be installed in a vehicle, so as to record the performance of the first user during driving, determine the illegal act of the first user according to the driving requirements of each road segment, and further more accurately determine the rule keeping preference information of the first user, so as to more accurately match the first user with a second user.
In addition, in some modified embodiments, a monitoring device, a recording device, and the like may be further installed in the vehicle to monitor the motion and language of the first user during driving, obtain user motion data and user voice data, and determine the motivation preference information and the irritability preference information of the first user according to the user motion data and the user voice data. For example, the touch data of the user touching the steering wheel is easy to obtain, and the touch habit can reflect the user's personality, for example, whether the user places both hands on the steering wheel stably for a long time, controls the steering wheel with one hand, and whether the user is used to tap the steering wheel or not, and the like can reflect the user's preference for well-moving, and further reflect whether the user's personality is stable or aggressive. As another example, the user speech data may include intonation, volume, etc., where the volume of speech is high and the pitch is low and steady, which may favor the user speaking himself, while a sudden burst of high tones may indicate that the user is experiencing a tendency to be road-blown. The above are exemplary descriptions of the embodiments of the present application, and those skilled in the art may flexibly modify the implementation based on the above exemplary descriptions in combination with actual requirements to achieve the purpose of the embodiments of the present application, which all should be within the protection scope of the present application, and no further description is given here.
In further variations of embodiments of the present application, the driving characteristic information may include the vehicle preference information;
the acquiring of the driving feature information of the first user may include:
acquiring vehicle attribute information of a vehicle driven by the first user, wherein the vehicle attribute information comprises at least one of a vehicle model, a vehicle brand, a vehicle type, a vehicle color and a vehicle price;
and determining the vehicle preference information of the first user according to the vehicle attribute information.
The vehicle attribute information is not necessarily obtained at one time, for example, the vehicle model may be used to determine other parameters, and then the vehicle model may be obtained first and then queried to obtain other information; alternatively, other information may be directly obtained, the vehicle model, etc. may not be obtained.
It is easily understood that the vehicle preference information of the first user, such as what brand, type, color and price the vehicle likes, may be determined according to the vehicle attribute information, wherein the brand, type, color and the like may reflect the user's personality characteristics and hobbies to some extent, and the vehicle price may reflect the user's identity background or economic level, i.e., hard conditions. Therefore, according to the vehicle preference information, a second user with matched hardware conditions (for example, equivalent economic level) and similar hobbies can be obtained for the first user, and the friend making success rate is improved.
Step S102: and determining at least one second user matched with the first user according to the driving feature information.
In some embodiments, the determining at least one second user matching the first user may include:
at least one second user having the same or opposite driving preference information as the first user and/or the same vehicle preference information as the first user is determined.
The vehicle preference information is the same, so that the matching of a second user with the same or similar life circle (with similar life conditions) to the first user can be facilitated on the basis of the hardness conditions of the economic level, the success rate of friend making is facilitated to be improved, and the satisfaction degree of the user is improved.
Considering that users with similar characters can make friends easily, but users with complementary characters (i.e. opposite characters) have a certain probability of making friends successfully, in the embodiment of the present application, a second user with the same driving preference information may be matched for the first user, or a second user with opposite driving preference information (i.e. complementary characters) may be matched for the first user, and the specific selection is the same or opposite, which may be determined according to the matching condition set by the first user or the selection record of the second user with history matching.
Accordingly, in some embodiments, the determining at least one second user matching the first user according to the driving feature information may include:
and determining at least one second user matched with the first user according to the matching conditions set by the first user and/or the selection information of the historical recommendation users and the driving characteristic information.
The matching condition may include, but is not limited to, at least one of vehicle speed preference information, rule-keeping preference information, behavior preference information, irritability preference information, vehicle preference information, gender, age, occupation, city and the like of the second user that needs to be matched, which is set by the first user, and when the at least one matching condition is included, the second user obtained by matching must meet the at least one matching condition included.
In addition, the selection information of the history recommending user can also be used for determining a second user matching the driving preference information of the first user with the same or opposite (namely with the same or opposite characters), for example, according to the selection information of the history recommending user of the first user, the second user prefers to make friends with the opposite characters, therefore, the second user with the same driving preference information can be matched for the first user, so that the personalized requirements of the first user are met, and the friend making success rate and the user satisfaction degree are improved.
It should be noted that, the same or opposite may be determined according to whether the driving preference indexes of the first user and the second user are similar, for example, the similarity is determined to be the same when the similarity satisfies a preset first threshold condition, or the similarity is determined to be opposite when the similarity satisfies a preset second threshold condition, and so on, which is not described again. The driving preference labels of the first user and the second user may be determined, the relative or complementary relationship between the driving preference labels may be predetermined, and if the driving preference labels of the first user and the second user are the same, it is determined that the driving preference information is the same, and if the driving preference labels of the first user and the second user are the same, it is determined that the driving preference information is opposite. The above are exemplary descriptions of the embodiments of the present application, and a person skilled in the art may flexibly set a matching manner between the first user and the second user based on the above exemplary descriptions and in combination with actual requirements to achieve the purpose of the embodiments of the present application, which is not limited in the present application, but is within the protection scope of the present application.
In addition, when the driving preference information includes a plurality of items, the second user can be obtained according to a plurality of items of comprehensive matching, matching results for the items can also be obtained through item matching, and the itemized friend recommendation information is generated so that the second user with various different driving preference information is recommended to the first user.
Specifically, in some embodiments, the driving preference information includes at least one of vehicle speed preference information, a compliance preference information, an ease preference information, and an irritability preference information;
the determining at least one second user matched with the first user according to the driving feature information comprises:
determining comprehensive driving preference information of the first user according to at least one of the vehicle speed preference information, the rule-keeping preference information, the motivation preference information and the irritability preference information;
and determining at least one second user matched with the first user according to the comprehensive driving preference information.
According to the method and the device for recommending the friends, multiple items of driving preference information can be integrated to match the first user with the second user, the second user obtained through matching in the method has higher probability of meeting the friend making requirements of the first user, and higher recommendation accuracy is achieved.
In other embodiments, the driving preference information includes at least one of vehicle speed preference information, compliance preference information, motivational preference information, and irritability preference information;
the determining at least one second user matched with the first user according to the driving feature information may include:
and respectively determining at least one second user matched with at least one item of the vehicle speed preference information, the rule preference information, the motivation preference information and the irritability preference information.
According to the embodiment, the corresponding second users can be matched for each sub-item, for example, the second users a1, a2 and A3 with high consistency of vehicle speed preference information, the second users B1, B2 and B3 with high consistency of rule keeping preference information, and the like can be obtained through matching respectively, and then the matching results are recommended to the first user for selection, so that more selection objects are provided for the first user, and the requirement that the first user selects the second user for making friends in the sub-item manner is met.
Step S103: recommending the at least one second user to the first user.
It should be noted that the user recommendation method provided in the foregoing implementation of the present application may be applied to a server or a client, where the server may include hardware or software. When the server includes hardware, the server may be implemented as a distributed server cluster formed by a plurality of servers, or may be implemented as a single server. When the server includes software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein. The client may refer to a client used by the first user, and in this embodiment of the present application, the client may include hardware or software. When the client includes hardware, it may be various electronic devices having a display screen and supporting information interaction, for example, it may include, but is not limited to, a handheld terminal, a vehicle-mounted terminal, or a wearable device, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, a vehicle-mounted robot, a vehicle-mounted control terminal, a vehicle recorder, a smart band, smart glasses, and the like. When the client includes software, it may be installed in the electronic device, and it may be implemented as a plurality of software or software modules, or as a single software or software module. And is not particularly limited herein.
If the method is applied to the server, step S103 may include:
generating friend recommendation information for recommending at least one second user to the first user;
and sending the friend recommendation information to a client used by the first user for displaying.
If the method is applied to the client, step S103 may include:
and displaying friend recommendation information for recommending at least one second user to the first user.
The above are exemplary illustrations of the embodiments of the present application, and those skilled in the art can flexibly modify and implement the embodiments in combination with actual requirements, and the embodiments of the present application are not limited.
According to the user recommendation method provided by the embodiment of the application, the driving characteristic information of the first user is determined, the driving characteristic information comprises the driving preference information and/or the vehicle preference information, at least one second user matched with the first user is determined according to the driving characteristic information, and then the at least one second user is recommended to the first user, so that friends can be recommended to the first user according to the driving preference information and/or the vehicle preference information of the user, and as the driving preference information and/or the vehicle preference information can accurately and comprehensively reflect the hobby, the personality, the behavior habits and other information of the user, the second user matched by the method has higher probability of making friends with the first user successfully, namely the user recommendation method has higher precision, the success rate of making friends can be effectively improved.
On the basis of any one of the foregoing embodiments, in some variations, the method may further include: and in response to the friend adding instruction input by the first user, executing an operation of adding the second user as the friend of the first user, for example, sending a friend adding request to a client of the second user, so as to quickly add the second user as the friend to the first user, thereby ensuring smooth realization of friend making and improving friend making efficiency.
In the above embodiment, a user recommendation method is provided, and correspondingly, the application further provides a user recommendation device. The user recommendation device provided by the embodiment of the application can implement the user recommendation method, and the user recommendation device can be implemented by software, hardware or a combination of software and hardware. For example, the user recommendation device may include integrated or separate functional modules or units to perform the corresponding steps of the above methods. Referring to fig. 2, a schematic diagram of a user recommendation device according to some embodiments of the present application is shown. Since the apparatus embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
As shown in fig. 2, the user recommendation apparatus 10 may include:
a driving characteristic determination module 101, configured to determine driving characteristic information of the first user, where the driving characteristic information may include at least one of driving preference information and vehicle preference information;
a second user matching module 102, configured to determine, according to the driving feature information, at least one second user matching the first user;
a user recommending module 103, configured to recommend the at least one second user to the first user.
In a modified implementation manner provided by the embodiment of the present invention, the driving characteristic information may include the driving preference information; the driving characteristic determination module 101 may include:
a driving behavior data acquisition unit for acquiring driving behavior data of the first user;
a driving preference information determining unit for determining the driving preference information of the first user according to the driving behavior data.
In an altered implementation manner provided by the embodiment of the present invention, the driving behavior data may include at least one of vehicle driving data, violation data, user action data and user voice data during driving, and the driving preference information may include at least one of vehicle speed preference information, regulation preference information, motivation preference information and irritability preference information;
the driving preference information determining unit may include at least one of:
the vehicle speed preference information determining subunit is used for determining the vehicle speed preference information of the first user according to the vehicle running data;
the rule keeping preference information determining subunit is used for determining rule keeping preference information of the first user according to the violation data;
the active preference information determining subunit is used for determining active preference information of the first user according to the user action data in the driving process;
and the irritability preference information determining subunit is used for determining the irritability preference information of the first user according to the user voice data in the driving process.
In a modified implementation manner provided by the embodiment of the present invention, the driving preference information may include a driving preference index or a driving preference tag.
In a modified implementation manner provided by the embodiment of the present invention, the driving characteristic information may include the vehicle preference information; the driving characteristic determination module 101 may include:
a vehicle attribute information acquisition unit configured to acquire vehicle attribute information of a vehicle driven by the first user, wherein the vehicle attribute information may include at least one of a vehicle model, a vehicle brand, a vehicle type, a vehicle color, and a vehicle price;
a vehicle preference information determining unit for determining vehicle preference information of the first user according to the vehicle attribute information.
In a modified implementation manner provided in the embodiment of the present invention, the second user matching module 102 may include:
and the condition matching unit is used for determining at least one second user matched with the first user according to the matching condition set by the first user and/or the selection information of the history recommending user and the driving characteristic information.
In a modified implementation manner provided in the embodiment of the present invention, the second user matching module 102 may include:
the same or opposite matching unit is used for determining at least one second user which has the same or opposite driving preference information as the first user and/or the same vehicle preference information as the first user.
In an alternative implementation manner provided by the embodiment of the present invention, the driving preference information may include at least one of vehicle speed preference information, compliance preference information, mobility preference information, and irritability preference information, and the second user matching module 102 may include:
the comprehensive information determining unit is used for determining comprehensive driving preference information of the first user according to at least one of the vehicle speed preference information, the rule-keeping preference information, the maneuver preference information and the irritability preference information;
and the comprehensive matching unit is used for determining at least one second user matched with the first user according to the comprehensive driving preference information.
In an alternative implementation manner provided by the embodiment of the present invention, the driving preference information may include at least one of vehicle speed preference information, compliance preference information, mobility preference information, and irritability preference information, and the second user matching module 102 may include:
and the subentry matching unit is used for respectively determining at least one second user matched with at least one item of the vehicle speed preference information, the rule-keeping preference information, the behavior preference information and the irritability preference information.
In a modified implementation manner provided by the embodiment of the present invention, the apparatus 10 may further include:
and the friend adding module is used for responding to a friend adding instruction input by the first user and executing the operation of adding the second user as the friend of the first user.
The user recommendation device 10 provided in the embodiment of the present application and the user recommendation method provided in the foregoing embodiment of the present application have the same advantages and are based on the same inventive concept.
In the foregoing embodiment, a user recommendation method is provided, and correspondingly, the present application further provides a recommendation information display method, where when the user recommendation method is executed by a server, the recommendation information display method is implemented in cooperation with the user recommendation method, and both of the two methods belong to the same inventive concept, so that the following description of the embodiment of the recommendation information display method may refer to the foregoing description of the embodiment of the user recommendation method for understanding, and some contents are not described again, and accordingly, the foregoing embodiment of the user recommendation method may also refer to the following description of the embodiment of the recommendation information display method for understanding.
Referring to fig. 3, which illustrates a flowchart of a recommendation information display method according to some embodiments of the present application, as shown in the figure, the recommendation information display method, for a client, may include the following steps:
step S201: and uploading at least one of the driving feature information, the driving behavior data and the vehicle attribute information of the first user to a server.
In some variations of the embodiments of the present application, the driving characteristic information includes at least one of driving preference information and vehicle preference information.
In this step, the client may directly upload basic driving data such as driving behavior data and vehicle attribute information to the server, and the server determines the driving feature information of the first user according to the basic driving data, where the method for determining the driving feature information of the first user may refer to the foregoing description of the embodiment of the user recommendation method, and is not described here again.
In addition, in this step, the client may also locally determine the driving characteristic information of the first user according to the basic driving data, and then upload the determined driving characteristic information to the server.
In addition, in this step, the client may also directly obtain driving characteristic information that is input by the user, for example, obtain driving characteristic information that is input by the first user through a driving characteristic editing page, and the like.
The above are all changeable implementation manners of the embodiments of the present application, and those skilled in the art may flexibly change and implement the embodiments in combination with actual requirements, and the embodiments of the present application are not limited.
Step S202: and receiving friend recommendation information which is returned by the server and is used for recommending at least one second user to the first user, wherein the second user is determined by the server according to at least one of the driving characteristic information, the driving behavior data and the vehicle attribute information.
The server, after receiving at least one of the driving characteristic information, the driving behavior data, and the vehicle attribute information, may determine at least one second user matching the first user according to the at least one second user, and a specific implementation manner of the server may refer to the foregoing description of the user recommendation method, which is not described herein again.
And after the server side is successfully matched, generating corresponding friend recommendation information for recommending at least one second user to the first user and returning the second user to the client side.
Step S203: and displaying the friend recommendation information.
The recommendation information display method can be used for a client, where the client may be a client used by a first user, and in this embodiment of the application, the client may include hardware or software. When the client includes hardware, it may be various electronic devices having a display screen and supporting information interaction, for example, it may include, but is not limited to, a handheld terminal, a vehicle-mounted terminal, or a wearable device, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, a vehicle-mounted robot, a vehicle-mounted control terminal, a vehicle recorder, a smart band, smart glasses, and the like. When the client includes software, it may be installed in the electronic device, and it may be implemented as a plurality of software or software modules, or as a single software or software module. And is not particularly limited herein.
The recommendation information display method provided by the embodiment of the application is based on the same inventive concept as the user recommendation method provided by the previous embodiment of the application, and has at least the following corresponding beneficial effects: the method comprises the steps that at least one of driving characteristic information, driving behavior data and vehicle attribute information of a first user is uploaded to a server, so that the server can be triggered to match a second user with the first user according to the information or the data, and a complete friend recommendation process is realized by displaying friend recommendation information provided by the server.
In some modified implementation manners of the embodiments of the present application, before receiving friend recommendation information, which is returned by the server and is used for recommending at least one second user to the first user, the method further includes:
acquiring a matching condition set by the first user;
and uploading the matching condition to the server, so that the server determines the second user according to the matching condition.
The matching condition may include, but is not limited to, at least one of vehicle speed preference information, rule-keeping preference information, behavior preference information, irritability preference information, vehicle preference information, gender, age, occupation, city and the like of the second user that needs to be matched, which is set by the first user, and when the at least one matching condition is included, the second user obtained by matching must meet the at least one matching condition included.
By the implementation mode, the client can also upload the matching condition set by the first user to the server, so that the server can match the first user to a second user more meeting the requirement or preference of the first user according to the matching condition, and the friend recommendation accuracy is improved.
In some variations of the embodiments of the present application, the method further comprises:
and in response to the friend adding instruction input by the first user, executing an operation of adding the second user as the friend of the first user, for example, sending a friend adding request to a client of the second user, so as to quickly add the second user as the friend to the first user, thereby ensuring smooth realization of friend making and improving friend making efficiency.
In the above embodiment, a method for displaying recommended information is provided, and correspondingly, the application further provides a multimedia resource display device. The multimedia resource display device provided by the embodiment of the application can implement the recommendation information display method, and the multimedia resource display device can be implemented through software, hardware or a combination of software and hardware. For example, the multimedia asset presentation device may comprise integrated or separate functional modules or units to perform the corresponding steps of the above-described methods. Please refer to fig. 4, which illustrates a schematic diagram of a multimedia resource exhibition apparatus according to some embodiments of the present application. Since the apparatus embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
As shown in fig. 4, the multimedia resource presenting apparatus 20 may include:
the information uploading module 201 is configured to upload at least one of driving feature information, driving behavior data, and vehicle attribute information of the first user to a server;
a recommendation information receiving module 202, configured to receive friend recommendation information that is returned by the server and is used to recommend at least one second user to the first user, where the second user is determined by the server according to at least one of the driving feature information, the driving behavior data, and the vehicle attribute information;
and the recommendation information display module 203 is configured to display the friend recommendation information.
In some variations of the embodiments of the present application, the driving characteristic information may include at least one of driving preference information and vehicle preference information.
In some variations of the embodiments of the present application, the apparatus 20 may further include:
the matching condition acquisition module is used for acquiring the matching condition set by the first user;
and the matching condition uploading module is used for uploading the matching condition to the server so that the server determines the second user according to the matching condition.
In some variations of the embodiments of the present application, the apparatus 20 may further include:
and the friend adding module is used for responding to a friend adding instruction input by the first user and executing the operation of adding the second user as the friend of the first user.
The multimedia resource display device 20 provided in the embodiment of the present application and the recommended information display method provided in the foregoing embodiment of the present application have the same beneficial effects based on the same inventive concept.
The embodiment of the present application further provides an electronic device corresponding to the user recommendation method and the recommendation information display method provided in the foregoing embodiment, where the electronic device may be an electronic device for a server, for example, a server, and includes an independent server and a distributed server cluster, so as to execute the user recommendation method; the electronic device may also be an electronic device for a client, and includes a handheld terminal, a vehicle-mounted terminal, or a wearable device, for example, a mobile phone, a notebook computer, a tablet computer, a desktop computer, a vehicle-mounted robot, a vehicle-mounted control terminal, a vehicle event data recorder, an intelligent bracelet, and intelligent glasses, so as to execute the user recommendation method or the recommendation information display method.
Please refer to fig. 5, which illustrates a schematic diagram of an electronic device according to some embodiments of the present application. As shown in fig. 5, the electronic device 30 includes: the system comprises a processor 300, a memory 301, a bus 302 and a communication interface 303, wherein the processor 300, the communication interface 303 and the memory 301 are connected through the bus 302; the memory 301 stores a computer program that can be executed on the processor 300, and the processor 300 executes the user recommendation method or the recommendation information display method provided in any of the foregoing embodiments when executing the computer program.
The Memory 301 may include a Random Access Memory (RAM) and a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 303 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The electronic equipment provided by the embodiment of the application, the user recommendation method and the recommendation information display method provided by the embodiment of the application are based on the same inventive concept, and have the same beneficial effects as the method adopted, operated or realized by the electronic equipment.
Referring to fig. 6, a computer-readable storage medium is shown as an optical disc 40, on which a computer program (i.e., a program product) is stored, where the computer program, when executed by a processor, executes the user recommendation method or the recommendation information display method provided in any of the foregoing embodiments.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above-mentioned embodiment of the present application, and the user recommendation method and the recommendation information display method provided by the embodiment of the present application, are based on the same inventive concept, and have the same beneficial effects as the method adopted, run, or implemented by the application program stored in the computer-readable storage medium.
It should be noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
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; such modifications and substitutions do not depart from the spirit and scope of the present disclosure, and the present disclosure should be construed as being covered by the claims and the specification.
Claims (14)
1. A user recommendation method, comprising:
the method comprises the steps of obtaining driving feature information of a first user, wherein the driving feature information comprises at least one of driving preference information and vehicle preference information, obtaining the driving feature information of the first user comprises obtaining driving behavior data of the first user, and determining the driving preference information of the first user according to the driving behavior data; the driving behavior data comprises at least one of vehicle driving data, violation data, user action data and user voice data in the driving process, and the driving preference data comprises at least one of vehicle speed preference information, rule keeping preference information, motivation preference information and irritability preference information;
determining at least one second user matched with the first user according to the matching conditions set by the first user and/or selection information of historical recommendation users and the driving characteristic information; the matching condition may include, but is not limited to, at least one of vehicle speed preference information, rule-keeping preference information, behavior preference information, irritability preference information, and vehicle preference information of a second user that needs to be matched, which is set by the first user, and when the at least one matching condition is included, the second user obtained by matching must meet the at least one matching condition included;
recommending the at least one second user to the first user.
2. The method of claim 1, wherein the determining driving preference information for the first user from the driving behavior data comprises at least one of:
determining vehicle speed preference information of the first user according to the vehicle running data;
determining the rule-keeping preference information of the first user according to the violation data;
determining the action preference information of the first user according to the user action data in the driving process;
and determining the irritability preference information of the first user according to the user voice data in the driving process.
3. The method of any of claims 1 to 2, wherein the driving preference information comprises a driving preference index or a driving preference label.
4. The method of claim 1, wherein the driving characteristic information includes the vehicle preference information;
the acquiring of the driving feature information of the first user comprises:
acquiring vehicle attribute information of a vehicle driven by the first user, wherein the vehicle attribute information comprises at least one of a vehicle model, a vehicle brand, a vehicle type, a vehicle color and a vehicle price;
and determining the vehicle preference information of the first user according to the vehicle attribute information.
5. The method of claim 1, wherein determining at least one second user matching the first user comprises:
at least one second user having the same or opposite driving preference information as the first user and/or the same vehicle preference information as the first user is determined.
6. The method of claim 1, wherein the driving preference information includes at least one of vehicle speed preference information, compliance preference information, restlessness preference information, and irritability preference information;
the determining at least one second user matched with the first user according to the driving feature information comprises:
determining comprehensive driving preference information of the first user according to at least one of the vehicle speed preference information, the rule keeping preference information, the restlessness preference information and the irritability preference information;
and determining at least one second user matched with the first user according to the comprehensive driving preference information.
7. The method of claim 1, wherein the driving preference information includes at least one of vehicle speed preference information, compliance preference information, restlessness preference information, and irritability preference information;
the determining at least one second user matched with the first user according to the driving feature information comprises:
and respectively determining at least one second user matched with at least one item of the vehicle speed preference information, the rule preference information, the motivation preference information and the irritability preference information.
8. The method of claim 1, further comprising:
and responding to a friend adding instruction input by the first user, and executing the operation of adding the second user as a friend of the first user.
9. A user recommendation device, comprising:
the driving characteristic determining module is used for determining driving characteristic information of a first user, wherein the driving characteristic information comprises at least one of driving preference information and vehicle preference information, acquiring the driving characteristic information of the first user, including acquiring driving behavior data of the first user, and determining the driving preference information of the first user according to the driving behavior data; the driving behavior data comprises at least one of vehicle driving data, violation data, user action data and user voice data in the driving process, and the driving preference data comprises at least one of vehicle speed preference information, rule keeping preference information, motivation preference information and irritability preference information;
the second user matching module is used for determining at least one second user matched with the first user according to matching conditions set by the first user and/or selection information of a history recommended user and the driving characteristic information, wherein the matching conditions can include but are not limited to at least one of vehicle speed preference information, rule keeping preference information, action preference information, irritability preference information and vehicle preference information of the second user which needs to be matched and set by the first user, and when the at least one matching condition is included, the matched second user must accord with the at least one matching condition;
and the user recommending module is used for recommending the at least one second user to the first user.
10. A recommendation information display method is used for a client, and is characterized by comprising the following steps:
uploading at least one of driving feature information, driving behavior data and vehicle attribute information of the first user to a server;
acquiring a matching condition set by the first user; uploading the matching condition to the server side so that the server side determines a second user according to the matching condition;
receiving friend recommendation information which is returned by the server and is used for recommending at least one second user to the first user, wherein the second user is determined by the server according to at least one of the driving feature information, the driving behavior data and the vehicle attribute information, and the driving feature information comprises at least one of driving preference information and vehicle preference information;
and displaying the friend recommendation information.
11. The method of claim 10, further comprising:
and responding to a friend adding instruction input by the first user, and executing the operation of adding the second user as a friend of the first user.
12. A recommended information display device, comprising:
the information uploading module is used for uploading at least one of the driving characteristic information, the driving behavior data and the vehicle attribute information of the first user to the server;
the matching condition acquisition module is used for acquiring the matching condition set by the first user; uploading the matching condition to the server, so that the server determines a second user according to the matching condition;
the recommendation information receiving module is used for receiving friend recommendation information returned by the server and used for recommending at least one second user to the first user, wherein the second user is determined by the server according to at least one of the driving feature information, the driving behavior data and the vehicle attribute information, and the driving feature information comprises at least one of driving preference information and vehicle preference information;
and the recommendation information display module is used for displaying the friend recommendation information.
13. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method according to any of claims 1 to 8, or 10 to 11.
14. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 8, or 10 to 11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910253045.2A CN109948064B (en) | 2019-03-29 | 2019-03-29 | User recommendation method, user recommendation information display method, device, electronic equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910253045.2A CN109948064B (en) | 2019-03-29 | 2019-03-29 | User recommendation method, user recommendation information display method, device, electronic equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109948064A CN109948064A (en) | 2019-06-28 |
| CN109948064B true CN109948064B (en) | 2022-05-20 |
Family
ID=67013122
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910253045.2A Active CN109948064B (en) | 2019-03-29 | 2019-03-29 | User recommendation method, user recommendation information display method, device, electronic equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109948064B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114338578B (en) * | 2021-12-29 | 2024-02-09 | 上海掌门科技有限公司 | Method, device, medium and program product for sending friend application |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103575285A (en) * | 2012-08-09 | 2014-02-12 | 本田技研工业株式会社 | Route planning device |
| CN104197947A (en) * | 2014-09-04 | 2014-12-10 | 百度在线网络技术（北京）有限公司 | Route recommendation method and system |
| CN109376303A (en) * | 2018-10-25 | 2019-02-22 | 合肥望京科技有限公司 | A kind of vehicle-mounted content information intelligent recommendation system and method based on car networking |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110188070A1 (en) * | 2010-01-29 | 2011-08-04 | Serhat Pala | Detection and replacement of consumable components of computer peripherals |
| US9210228B2 (en) * | 2012-12-11 | 2015-12-08 | Facebook, Inc. | Eliciting event-driven feedback in a social network |
| EP2803945A1 (en) * | 2013-05-15 | 2014-11-19 | C.R.F. Società Consortile per Azioni | Predictive fuel saving-aimed motor vehicle driver assistance |
| EP3380951A4 (en) * | 2015-11-27 | 2019-04-10 | Bayerische Motoren Werke Aktiengesellschaft | Recommending car/passenger resources for user according to mobility habits |
| US9919715B2 (en) * | 2016-04-30 | 2018-03-20 | Ford Global Technologies, Llc | Vehicle mode scheduling with learned user preferences |
| CN106911763A (en) * | 2017-01-19 | 2017-06-30 | 华南理工大学 | A kind of safe driving vehicle-mounted music pusher and method based on driver characteristics |
| US11151461B2 (en) * | 2017-07-05 | 2021-10-19 | Ford Global Technologies | Method and apparatus for behavior-based vehicle purchase recommendations |
| CN108303108B (en) * | 2017-12-05 | 2020-05-22 | 华南理工大学 | Personalized route recommendation method based on vehicle historical track |
| CN108846768A (en) * | 2018-05-30 | 2018-11-20 | 深圳市元征科技股份有限公司 | A kind of automobile friend's recommended method and system |
-
2019
- 2019-03-29 CN CN201910253045.2A patent/CN109948064B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103575285A (en) * | 2012-08-09 | 2014-02-12 | 本田技研工业株式会社 | Route planning device |
| CN104197947A (en) * | 2014-09-04 | 2014-12-10 | 百度在线网络技术（北京）有限公司 | Route recommendation method and system |
| CN109376303A (en) * | 2018-10-25 | 2019-02-22 | 合肥望京科技有限公司 | A kind of vehicle-mounted content information intelligent recommendation system and method based on car networking |
Non-Patent Citations (1)
| Title |
|---|
| 驾驶中听音乐对驾驶安全的影响研究;王欣;《汽车与驾驶维修（维修版）》;20170603;078 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109948064A (en) | 2019-06-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20240028658A1 (en) | Systems, apparatuses, and methods for providing a quality score based recommendation | |
| US8949334B2 (en) | Push-based recommendations | |
| US11055764B2 (en) | Systems and methods for providing personalized online content | |
| KR102159898B1 (en) | Dynamically loading contextual ontologies for predictive typing | |
| US10467656B2 (en) | Online to offline commerce merchant advertising | |
| CN108509497B (en) | Information recommendation method and device and electronic equipment | |
| CN107341173B (en) | Information processing method and device | |
| US10430465B2 (en) | Dynamic faceting for personalized search and discovery | |
| CN106970949A (en) | A kind of information recommendation method and device | |
| CN107317884B (en) | Information interaction system and method | |
| US11599935B2 (en) | Computer program product, computer implemented method, and system for cognitive item selection with data mining | |
| US20100332496A1 (en) | Implicit product placement leveraging identified user ambitions | |
| US20130268367A1 (en) | Comupterized marketing and advertising platform based on social networks | |
| US20170270121A1 (en) | Automated news digest | |
| WO2019148199A2 (en) | Systems and methods for providing personalized online content | |
| US20150073932A1 (en) | Strength Based Modeling For Recommendation System | |
| CN112598467A (en) | Training method of commodity recommendation model, commodity recommendation method and device | |
| WO2013136153A1 (en) | Method and system for displaying a contextual advertisement on a webpage | |
| CN111784397A (en) | Community marketing method and device based on user portrait and computer equipment | |
| CN113454669A (en) | Characterizing a place by user visited features | |
| US20120278180A1 (en) | Methods and arrangements for improving monetization of telecom app-stores via combinatorial bidding on telecom parameters | |
| CN109948064B (en) | User recommendation method, user recommendation information display method, device, electronic equipment and medium | |
| CN108648006B (en) | Shop recommendation method and device | |
| US11681895B2 (en) | Cognitive assistant with recommendation capability | |
| CN113641894A (en) | Information recommendation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |