Functional information recommendation method and device and readable storage medium

Abstract

The invention discloses a function information recommendation method and device and a readable storage medium. The method comprises the steps that operation data of a target account in a departure boarding scene are acquired, and the operation data are used for indicating data related to departure boarding business in the operation process of the target account; determining a service level of a target object corresponding to the target account based on the operation data; boarding function information matched with the target object is determined based on the service level, and the boarding function information is used for representing a to-be-recommended target boarding function in the port boarding scene; and recommending the boarding function information to a client corresponding to the target account, the target account being used for logging in the client. The technical problem that the target object service efficiency is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of airport departure services, and in particular to a method, device and readable storage medium for recommending functional information. Background Art

[0002] At present, as the enthusiasm of the whole nation for air travel grows, the passenger flow at airports is increasing, and the requirements for departure services of airports and airlines are also getting higher. The efficiency of departure services is directly related to the travel experience of users.

[0003] In related technologies, some departure systems provide complicated functions for boarding services, and boarding personnel cannot quickly find the required functions, nor can they provide personalized services to specific passengers in a timely manner. For example, an airport is more concerned about flight load factor and consignment rate, and the boarding personnel at this airport have a higher demand for the use of related functions. However, the flight statistics functions displayed on the boarding page of the departure system are diverse, and it is difficult for departure users, especially boarding personnel, to quickly locate the desired functions, which will greatly affect the travel experience of passengers and the benefits of airline airport users. Therefore, there is a technical problem of low efficiency in serving the target object.

[0004] Currently, no effective solution has been proposed for the above-mentioned technical problem of low efficiency in serving target objects. Summary of the invention

[0005] The embodiments of the present invention provide a method, device and readable storage medium for recommending function information, so as to at least solve the technical problem of low efficiency in serving a target object.

[0006] According to one aspect of an embodiment of the present invention, a method for recommending function information is provided. The method may include: obtaining operation data of a target account in a departure boarding scenario, wherein the operation data is used to indicate data related to departure boarding services during the operation of the target account; determining the service level of a target object corresponding to the target account based on the operation data; determining boarding function information matching the target object based on the service level, wherein the boarding function information is used to indicate a target boarding function to be recommended in a departure boarding scenario; and recommending the boarding function information to a client corresponding to the target account, wherein the target account is used to log in to the client.

[0007] Optionally, based on the operation data, the service level of the target object corresponding to the target account is determined, including: based on the operation data, determining the permission attributes of the target object; based on the permission attributes, determining the permission object group of the target object, wherein the permission object group is used to indicate all objects having the same permission attributes as the target object; obtaining historical operation data of all objects in the permission object group; and determining the service level of the target object based on the historical operation data and the operation data.

[0008] Optionally, based on the operation data, the service level of the target object is determined, including: extracting the current boarding status and special service information of the target object from the operation data, wherein the special service information is used to indicate information indicating that the target object has purchased special services; in response to the current boarding status being not boarded and not passed security check, determining the service level to be the first service level; in response to the special service information being that the special service has been purchased, determining the service level to be the second service level.

[0009] Optionally, determining the service level of the target object based on the historical operation data includes: filtering the historical operation data to obtain valid historical operation data; and determining the service level based on the valid historical operation data.

[0010] Optionally, determining the service level based on valid historical operation data includes: extracting the frequency of the target object purchasing value-added services from the valid historical operation data; in response to the frequency being greater than a frequency threshold, determining the service level to be a third service level, wherein the service functions corresponding to the first service level, the second service level and the third service level are different.

[0011] Optionally, based on the service level, boarding function information matching the target object is determined, including: inputting the service level into a matching model for analysis to obtain the boarding function information, wherein the matching model is a pre-set matching calculation rule.

[0012] According to another aspect of an embodiment of the present invention, a device for recommending function information is also provided. The device may include: an acquisition unit, configured to acquire operation data of a target account in a departure boarding scenario, wherein the operation data is used to indicate data related to departure boarding services during the operation of the target account; a first determination unit, configured to determine the service level of a target object corresponding to the target account based on the operation data; a second determination unit, configured to determine boarding function information matching the target object based on the service level, wherein the boarding function information is used to indicate a target boarding function to be recommended in a departure boarding scenario; and a recommendation unit, configured to recommend the boarding function information to a client corresponding to the target account, wherein the target account is used to log in to the client.

[0013] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method for recommending functional information in an embodiment of the present invention.

[0014] According to another aspect of an embodiment of the present invention, a processor is further provided, wherein the processor is used to run a program, wherein when the program is run, the method for recommending function information in an embodiment of the present invention is executed.

[0015] According to another aspect of an embodiment of the present invention, a computer program product is provided, which includes computer instructions, and when the computer instructions are executed by a processor, the method for recommending function information in an embodiment of the present invention is implemented.

[0016] In an embodiment of the present invention, the operation data of the target account in the departure boarding scenario is obtained, wherein the operation data is used to indicate the data related to the departure boarding service during the operation of the target account; based on the operation data, the service level of the target object corresponding to the target account is determined; based on the service level, the boarding function information matching the target object is determined, wherein the boarding function information is used to indicate the target boarding function to be recommended in the departure boarding scenario; the boarding function information is recommended to the client corresponding to the target account, wherein the target account is used to log in to the client. That is to say, the embodiment of the present invention determines the service level of the target object corresponding to the target account by analyzing the operation data of the target account, thereby further specifically determining the target boarding function that the target object may need, thereby solving the technical problem of low service efficiency of the target object and achieving the technical effect of improving the service efficiency of the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 is a flow chart of a method for recommending function information according to an embodiment of the present invention;

[0019] Figure 2 is a flow chart of a method for visual departure boarding processing based on user grouping according to an embodiment of the present invention;

[0020] Figure 3 is a schematic diagram of a system for visual departure boarding processing based on user grouping according to an embodiment of the present invention;

[0021] Figure 4 2 is a schematic diagram of a device for recommending function information according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, functional component or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, functional components or devices.

[0024] According to an embodiment of the present invention, an embodiment of a method for recommending functional information is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] Figure 1 is a flow chart of a method for recommending function information according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0026] Step S101, obtaining the operation data of the target account in the departure and boarding scenario.

[0027] In the technical solution provided in the above step S101 of the present invention, the operation data is used to indicate the data related to the departure boarding business during the operation of the target account.

[0028] In this embodiment, the operation data of the target account in the departure boarding scenario is obtained. For example, the system for visual departure boarding processing based on user grouping collects the operation data of departure boarding users within a set statistical period T. This is only an illustrative example, and the specific method for obtaining the operation data of the target account in the departure boarding scenario is not limited.

[0029] Optionally, the operation data may at least include the behavior data of the departure boarding user and the passenger data of the operation, wherein the user behavior data may include: authority attributes, operation behavior list; the passenger data may include: passenger special service attributes, passenger status, and historical business processing data.

[0030] Step S102: determining the service level of the target object corresponding to the target account based on the operation data.

[0031] In the technical solution provided in the above step S102 of the present invention, the target object may also be referred to as a departure boarding user or a boarding staff user. The service level may also be understood as the identification level of the passenger, that is, the identification passenger.

[0032] In this embodiment, after the operation data of the target account in the departure boarding scenario is acquired in step S101, the service level of the target object corresponding to the target account is determined according to the operation data.

[0033] Optionally, the target objects are grouped and clustered, characteristic data of the target objects are determined, historical operation data of the target objects are obtained, and the service level of the target objects corresponding to the target accounts is determined.

[0034] For example, the system obtains and analyzes the historical behavior data of passengers currently boarding the flight, and calculates the frequency of passengers purchasing value-added services during recent trips. If the frequency exceeds the system-set value, the passenger is identified as a "high-value passenger."

[0035] Step S103: Determine boarding function information matching the target object based on the service level.

[0036] In the technical solution provided in the above step S103 of the present invention, the boarding function information is used to indicate the target boarding function to be recommended in the port boarding scenario.

[0037] In this embodiment, after determining the service level of the target object corresponding to the target account in step S102, the boarding function information matching the target object is determined according to the service level. For example, the boarding function information matching the target object is determined by using the similarity algorithm through the boarding behavior feature data of the target object. This is only an illustrative example, and the specific method for determining the boarding function information matching the target object is not limited.

[0038] For example, according to the permission information in the user agent information, the group is matched to obtain the unified boarding behavior feature data D of the group U ; When checking in passengers, the system queries the identification carried by the passengers as differentiated boarding behavior feature data D D . Feature data fusion: Unify boarding behavior feature data S U and differentiated boarding behavior feature data S D Composition feature data set D = (D U ,D D )=(D1,D2,...,D n ), D i is the feature value; recommended function acquisition: use Jaccard similarity algorithm to calculate D i and DGUI boarding business function F=(F1,F2,...,Fm ) matching rate, the calculation method is shown in the following formula (1):

[0039]

[0040] Among them, when S ij >=0.5, the system determines that the boarding function F j Recommendable, that is, boarding function F j This is the boarding function information.

[0041] Step S104, recommending the boarding function information to the client corresponding to the target account.

[0042] In the technical solution provided in the above step S104 of the present invention, the target account is used to log in to the client.

[0043] In this embodiment, after obtaining the boarding function information in step S103, the boarding function information is recommended to the client corresponding to the target account.

[0044] Optionally, by providing personalized, intuitive and clear functions to target groups of different airport airlines, the training costs of airline airports can be reduced, the travel experience of departing passengers can be improved, and the benefits of airport airlines can be improved.

[0045] It should be noted that the above embodiment can be implemented by a system for visual departure boarding processing based on user grouping.

[0046] In the above steps S101 to S104 of the present invention, the operation data of the target account in the departure boarding scenario is obtained, wherein the operation data is used to indicate the data related to the departure boarding service during the operation of the target account; based on the operation data, the service level of the target object corresponding to the target account is determined; based on the service level, the boarding function information matching the target object is determined, wherein the boarding function information is used to indicate the target boarding function to be recommended in the departure boarding scenario; the boarding function information is recommended to the client corresponding to the target account, wherein the target account is used to log in to the client. That is to say, the embodiment of the present invention determines the service level of the target object corresponding to the target account by analyzing the operation data of the target account, thereby further specifically determining the target boarding function that the target object may need, thereby solving the technical problem of low service efficiency of the target object and achieving the technical effect of improving the service efficiency of the target object.

[0047] The above method of this embodiment is further introduced below.

[0048] As an optional implementation method, the service level of the target object corresponding to the target account is determined based on the operation data, including: determining the permission attributes of the target object based on the operation data; determining the permission object group of the target object based on the permission attributes, wherein the permission object group is used to indicate all objects having the same permission attributes as the target object; obtaining historical operation data of all objects in the permission object group; and determining the service level of the target object based on the historical operation data and the operation data.

[0049] In this embodiment, the permission attribute of the target object is determined according to the operation data. For example, the permission of the target object is extracted from the operation data.

[0050] Optionally, the permission object group of the target object is determined according to the permission attribute. For example, users are grouped according to the permission attribute to obtain user groups with different permissions, that is, permission object groups; each user group is composed of boarding users with the same permission attribute.

[0051] Optionally, after determining the permission object group, the historical operation data of all objects in the permission object group is obtained, and the service level of the target object is determined based on the historical operation data and the operation data. The specific determination method is as follows.

[0052] As an optional implementation method, the service level of the target object is determined based on the operation data, including: extracting the current boarding status and special service information of the target object from the operation data, wherein the special service information is used to indicate information indicating that the target object has purchased special services; in response to the current boarding status being not boarded and not passed security check, determining the service level to be the first service level; in response to the special service information being that the special service has been purchased, determining the service level to be the second service level.

[0053] In this embodiment, the current boarding status and special service information of the target object are extracted from the operation data. When the current boarding status is not boarded and has not passed security check, it means that the user has not passed the case. Based on this, the service level is determined to be the first service level, that is, the passenger is identified as a "late arrival passenger".

[0054] Optionally, when the special service information indicates that a special service has been purchased, it indicates that the user has purchased a special service during this journey, and based on this, the service level is determined to be the second service level, that is, the passenger is identified as a "special service passenger".

[0055] As an optional implementation manner, determining the service level of the target object based on the historical operation data includes: filtering the historical operation data to obtain valid historical operation data; and determining the service level based on the valid historical operation data.

[0056] In this embodiment, the historical operation data is filtered to obtain valid historical operation data. For example, the historical operation data is filtered according to a set filtering rule to obtain valid historical operation data.

[0057] For example, according to the set filtering rules, the operation behavior list is filtered to remove useless non-functional operation data and retain functional operation data. The DGUI boarding service id table is used as the filtering rule. The service id table records and stores all the service functions of DGUI boarding services. The non-functional operation data such as the system's scheduled self-query are filtered out through the service id, and the user's effective operation function list, that is, the effective historical operation data, is obtained.

[0058] Optionally, the service level is determined based on valid historical operation data. The specific determination method is as follows.

[0059] As an optional implementation method, the service level is determined based on valid historical operation data, including: extracting the frequency of the target object purchasing value-added services from the valid historical operation data; in response to the frequency being greater than a frequency threshold, determining the service level to be a third service level, wherein the service functions corresponding to the first service level, the second service level and the third service level are different.

[0060] In this embodiment, the frequency of the target object purchasing value-added services is extracted from the valid historical operation data. When the frequency is greater than the frequency threshold, it means that the user often purchases value-added services. Based on this, the service level is determined to be the third service level, that is, the passenger is identified as a "high-value passenger."

[0061] Optionally, by determining the service level of the target object, that is, identifying the target object, it is convenient for users to obtain the service level of the passenger at the first time, so as to provide targeted services to the passenger, solve the technical problem of low service efficiency for the target object, and achieve the technical effect of improving the service efficiency for the target object.

[0062] As an optional implementation method, based on the service level, boarding function information matching the target object is determined, including: inputting the service level into a matching model for analysis to obtain the boarding function information, wherein the matching model is a pre-set matching calculation rule.

[0063] In this embodiment, the service level is input into the matching model for analysis to obtain boarding function information. The specific matching method is shown in the above formula (1), which will not be described here.

[0064] Optionally, by determining the boarding function information that matches the target object, the boarding function required by the target object can be accurately determined, thereby achieving the purpose of targeted determination of the target boarding function required by the target object, solving the technical problem of low service efficiency for the target object, and achieving the technical effect of improving the service efficiency for the target object.

[0065] It should be noted that the above embodiment can be implemented by a system for visual departure boarding processing based on user grouping.

[0066] In this embodiment, the operation data of the target account in the departure boarding scenario is obtained, wherein the operation data is used to indicate the data related to the departure boarding service during the operation of the target account; based on the operation data, the service level of the target object corresponding to the target account is determined; based on the service level, the boarding function information matching the target object is determined, wherein the boarding function information is used to indicate the target boarding function to be recommended in the departure boarding scenario; the boarding function information is recommended to the client corresponding to the target account, wherein the target account is used to log in to the client. That is to say, the embodiment of the present invention determines the service level of the target object corresponding to the target account by analyzing the operation data of the target account, thereby further specifically determining the target boarding function that the target object may need, thereby solving the technical problem of low service efficiency of the target object and achieving the technical effect of improving the service efficiency of the target object.

[0067] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0068] At present, as the enthusiasm of the whole nation for air travel grows, the passenger flow at airports is increasing, and the requirements for departure services of airports and airlines are also getting higher. The efficiency of departure services is directly related to the travel experience of users.

[0069] In the related technologies, some departure systems provide complicated functions for boarding services. Boarding personnel cannot quickly find the required functions, and cannot provide personalized services to specific passengers in a timely manner. For example, an airport is more concerned about the flight load factor and consignment rate. The boarding personnel at this airport have a higher demand for the use of related functions, but the flight statistics functions displayed on the boarding page of the departure system are diverse. It is difficult for departure users, especially boarding personnel, to quickly locate the desired functions, which will greatly affect the travel experience of passengers and the benefits of airline airport users. Therefore, there is a technical problem of low efficiency in target object service. No effective solution has been proposed to the above-mentioned technical problem of low efficiency in target object service.

[0070] However, an embodiment of the present invention proposes a method for visualized departure boarding processing based on user grouping, which collects the behavior data of departure boarding users and the passenger data of operations within a set statistical period T; based on the user's authority attributes, the users are grouped according to the authority attributes to obtain user groups with different authorities, and the historical behavior data, transfer and special service information of the passengers of the current boarding flight are analyzed, and the corresponding boarding function is recommended to the user, which solves the technical problem of low service efficiency of the target object and achieves the technical effect of improving the positioning accuracy of the drone.

[0071] The embodiments of the present invention are further described below.

[0072] Figure 2 1 is a flowchart of a method for visual departure boarding processing based on user grouping according to an embodiment of the present invention. The method for visual departure boarding processing includes the following steps:

[0073] Step S201, collecting data.

[0074] In this embodiment, the system collects the behavior data of departing boarding users and the operating passenger data within a set statistical period T.

[0075] Optionally, the user behavior data includes: authority attributes, operation behavior list; the passenger data includes: passenger special service attributes, passenger status, and historical business processing data.

[0076] For example, the departure agent permissions of passengers are read from the database regularly, recorded as Table A (User, Agent, Airline, Airport, Level), and the passenger's historical purchase of gate value-added services are recorded in Table B (Passenger, Frequency, Type). The user's front-end operation records are read from the system log regularly, including login operations and passenger processing records.

[0077] Step S202: grouping users.

[0078] In this embodiment, according to the user's authority attributes, the system sets the airline_station_level as the user authority dimension, and groups the users according to the authority dimension to obtain different user groups based on authority, which are recorded as U1, U2, ..., U N . Each user group consists of onboarded users with the same permission dimension.

[0079] For example, the system reads permission information from Table A (User, Agent, Airline, Airport, Level). The specific implementation is: use the same (Airline, Airport, Level) as the screening rule to filter out (User, Agent) with the same permission, that is, grouping. The grouping group is identified by Airline_Airport_Level.

[0080] Step S203: user behavior clustering.

[0081] In this embodiment, according to the divided user groups, the system obtains the historical operation data of all users in all user groups, that is, the stored operation behavior list, and performs data filtering and behavior clustering on the operation behavior list.

[0082] Optionally, data filtering: according to the set filtering rules, filter the operation behavior list, remove useless non-functional operation data, and retain functional operation data. The DGUI boarding service id table is used as the filtering rule. Table 1 is a schematic table of the button service id of DGUI. As shown in Table 1, the service id table records and stores all service functions of the DGUI boarding service; through the service id screening, filter out the system's timed self-query and other non-functional operation data, and obtain the user's effective operation function list.

[0083] Table 1 Schematic diagram of DGUI button service ID

[0084]

[0085] Optionally, behavior clustering: Based on the filtered user historical valid operation function list, the DBSCAN clustering algorithm is used to perform cluster analysis on the operation data to obtain unified boarding behavior feature data for all users in the user group. This patent uses the DBSCAN algorithm to cluster the boarding user operation behavior. The DBSCAN algorithm does not require the pre-specified number of clusters and can cluster data sets of any shape, which is suitable for user behavior analysis in departure boarding business scenarios.

[0086] Optionally, the divided user groups and the boarding operation functions of the users in the groups are used as a data set D = {p1, p2, ..., p n}, set the neighborhood radius Eps of the data set and the minimum number of data objects in the neighborhood MinPts.

[0087] Optionally, select an operation function from the data set as the data object point p i , with p i As the core point, find all i The data object points that are density-reachable are clustered.

[0088] Optionally, if the selected data object point p i is an edge point, select another data object point.

[0089] Optionally, the above steps are repeated until all data object points have been processed.

[0090] Finally, k clusters are constructed, which are the unified behavior feature data D of the user group. U =(F1,F2,...,F k ).

[0091] Step S204, identifying the passenger.

[0092] In this embodiment, the system obtains and analyzes the historical behavior data of passengers currently boarding the flight, and identifies the passenger as a "high-value passenger" by calculating the frequency of the passenger's recent purchase of value-added services if the frequency exceeds the system set value.

[0093] Optionally, the system obtains and analyzes the status and special service information of passengers on the current boarding flight. When the passenger status is not on board and has not passed security check, the passenger is marked as a "late arrival passenger"; when the passenger information contains a special service code, the passenger is marked as a "special service passenger". The identification is used as the differentiated boarding behavior feature data D D =(T) stores passenger information; where T is an identification tuple.

[0094] Step S205: function recommendation.

[0095] In this embodiment, when a user logs in to the DGUI departure front end, the system stores the user login Agent information. The group is matched according to the authority information in the user Agent information to obtain the unified boarding behavior feature data D of the group. U ; When checking in passengers, the system queries the identification carried by the passengers as differentiated boarding behavior feature data D D .

[0096] Optionally, feature data fusion: unify the boarding behavior feature data S U and differentiated boarding behavior feature data S D Composition feature data set D = (D U ,D D )=(D1,D2,...,D n ), D i is the characteristic value of .

[0097] Optionally, the recommended function is obtained by calculating D using the Jaccard similarity algorithm. i and DGUI boarding business function F=(F1,F2,...,F m) matching rate, the calculation method is shown in the above formula (1). ij >=0.5, the system determines that the boarding function F j If it is not recommended, it is not recommended. According to the result, the corresponding boarding function is recommended to the user.

[0098] Figure 3 300 is a schematic diagram of a system for visual departure boarding processing based on user grouping according to an embodiment of the present invention. The system 300 for visual departure boarding processing includes: a log management module 301, a data collection module 302, a user grouping module 303, a behavior clustering module 304, a boarding function recommendation module 305, a boarding passenger identification module 306, a departure database 307 and a boarding processing page module 308.

[0099] Log management module 301: The device described in this module is mainly a memory, which records and stores the logs of the entire process of the system 300 front-end function display and background data processing of the visual departure boarding processing based on user grouping, which is used for the data source of the system background data processing and subsequent system maintenance and optimization.

[0100] Data collection module 302, the device described in this module is mainly composed of a timer and a memory. The timer collects the user's boarding history data at a certain period; the memory is used to parse and store the collected data. The functions implemented by the module are: this module regularly obtains and stores user operation data from the log management module; this module regularly obtains and stores user account data from the air information departure database 307.

[0101] User grouping module 303, the device described in this module is mainly composed of a memory and a processor. The memory is used to obtain and store the user's account data and boarding operation behavior data from the data collection module 302; the processor is used to process the user data using an algorithm. Since in the departure system, the boarding personnel belong to different airlines and airports, and have different requirements for various boarding functions, it is necessary to group users based on permissions.

[0102] Optionally, this module obtains the airline, terminal and level information of the user logging into the Agent from the boarding data collection module, groups the users according to the permission type consisting of airline_terminal_level, and obtains different user groups based on permissions.

[0103] The behavior clustering module 304, the device described in this module is mainly composed of a memory and a clustering processor, and is used to analyze the historical data of the user group's check-in business, obtain the unified behavior feature data of the current user group and store it.

[0104] Optionally, a user group is obtained from a user analysis module, and the group's permissions are used as a label to uniquely mark the group;

[0105] Optionally, for all users in the group, a cluster analysis is performed on the users' historical boarding operation behaviors to obtain unified boarding behavior feature data based on permissions.

[0106] The boarding function recommendation module 305, the device described in this module is mainly composed of a memory and a processor. After obtaining the unified boarding behavior feature data and the differentiated boarding behavior feature data, a boarding function recommendation list is generated according to the recommendation algorithm and the list is stored; based on the user usage of the recommended function list, the matching rate of the operation data and the feature data is analyzed, and the function recommendation list is adjusted according to the matching rate.

[0107] Optionally, the front-end page displays the recommended functions on the boarding processing page to facilitate users to quickly find relevant functions.

[0108] The boarding passenger identification module 306, the device described in this module is mainly composed of a memory and a processor, and is used to classify and identify the passengers currently boarding the flight, obtain and store differentiated boarding behavior feature data based on the passengers.

[0109] Optionally, boarding passenger behavior data is obtained from the departure database. For the types of passengers that boarding business focuses on, including special service passengers, value-added service passengers, and late arrival passengers, this module analyzes the passenger's current status data and passenger's historical business data, determines the characteristic keywords that identify the passenger, and finally obtains differentiated boarding behavior characteristic data based on the passenger.

[0110] Optionally, the front-end page highlights passengers with different identifications in different colors, and when the user clicks on a passenger, a floating frame displays the passenger's detailed information.

[0111] Optionally, a system for visualized departure boarding processing of the present invention is based on a user clustering model, divides user groups according to user permissions, and clusters the boarding operation behaviors of the groups, thereby realizing a visualized boarding processing method and system, and providing personalized, intuitive and clear functions for boarding personnel users of different airports and airlines, thereby reducing the training costs of airline airports, improving the travel experience of departing passengers, and further improving the efficiency of airports and airlines.

[0112] In this embodiment, the behavior data of departing boarding users and the passenger data of operations are collected within the set statistical period T; the users are grouped according to the user's authority attributes to obtain user groups with different authorities, and the historical behavior data, transfer and special service information of the passengers of the current boarding flight are analyzed to recommend corresponding boarding functions to users, thereby solving the technical problem of low service efficiency of the target object and achieving the technical effect of improving the positioning accuracy of the drone.

[0113] According to an embodiment of the present invention, a device for recommending function information is also provided. It should be noted that the device for recommending function information can be used to execute the method for recommending function information in the method embodiment.

[0114] Figure 4 FIG. 1 is a schematic diagram of a device for recommending functional information according to an embodiment of the present invention. Figure 4 As shown, the device 400 for recommending function information may include: an acquiring unit 401 , a first determining unit 402 , a second determining unit 403 and a recommending unit 404 .

[0115] The acquisition unit 401 is used to acquire the operation data of the target account in the departure boarding scenario, wherein the operation data is used to indicate the data related to the departure boarding business during the operation of the target account.

[0116] The first determining unit 402 is configured to determine a service level of a target object corresponding to a target account based on the operation data.

[0117] The second determining unit 403 is used to determine boarding function information matching the target object based on the service level, wherein the boarding function information is used to represent the target boarding function to be recommended in the port boarding scenario.

[0118] The recommendation unit 404 is used to recommend the boarding function information to the client corresponding to the target account, wherein the target account is used to log in to the client.

[0119] Optionally, the first determination unit 402 may include: a first determination module, used to determine the permission attributes of the target object based on the operation data; a second determination module, used to determine the permission object group of the target object based on the permission attributes, wherein the permission object group is used to indicate all objects having the same permission attributes as the target object; an acquisition module, used to acquire historical operation data of all objects in the permission object group; and a third determination module, used to determine the service level of the target object based on the historical operation data and the operation data.

[0120] Optionally, the third determination module may include: an extraction submodule, used to extract the current boarding status and special service information of the target object from the operation data, wherein the special service information is used to indicate information indicating that the target object has purchased special services; a first determination submodule, used to determine that the service level is the first service level in response to the current boarding status being not boarded and not passed security check; and a second determination submodule, used to determine that the service level is the second service level in response to the special service information being that the special service has been purchased.

[0121] Optionally, the third determination module may include: a filtering submodule, used to filter the historical operation data to obtain valid historical operation data; and a third determination submodule, used to determine the service level based on the valid historical operation data.

[0122] Optionally, the third determination submodule can also be used to extract the frequency of the target object purchasing value-added services from the valid historical operation data; in response to the frequency being greater than the frequency threshold, the service level is determined to be the third service level, wherein the service functions corresponding to the first service level, the second service level and the third service level are different.

[0123] Optionally, the second determination unit 403 may include: an input module, configured to input the service level into a matching model for analysis to obtain boarding function information, wherein the matching model is a pre-set matching calculation rule.

[0124] In this embodiment, the operation data of the target account in the departure boarding scenario is obtained, wherein the operation data is used to indicate the data related to the departure boarding service during the operation of the target account; based on the operation data, the service level of the target object corresponding to the target account is determined; based on the service level, the boarding function information matching the target object is determined, wherein the boarding function information is used to indicate the target boarding function to be recommended in the departure boarding scenario; the boarding function information is recommended to the client corresponding to the target account, wherein the target account is used to log in to the client. That is to say, the embodiment of the present invention determines the service level of the target object corresponding to the target account by analyzing the operation data of the target account, thereby further specifically determining the target boarding function that the target object may need, thereby solving the technical problem of low service efficiency of the target object and achieving the technical effect of improving the service efficiency of the target object.

[0125] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The storage medium includes a stored program, wherein the program executes the method for recommending function information in the method embodiment.

[0126] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program, wherein the method for recommending function information in the method embodiment is executed when the program is running.

[0127] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the method for recommending function information in the method embodiment is implemented.

[0128] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0129] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0131] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0132] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0133] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent functional component, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software functional component, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program codes.

[0134] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for recommending functional information, characterized in that: include: Acquire operation data of the target account in the departure boarding scenario, wherein the operation data is used to indicate data related to the departure boarding service during the operation of the target account; Determine, based on the operation data, a service level of a target object corresponding to the target account; Based on the service level, determining boarding function information matching the target object, wherein the boarding function information is used to represent the target boarding function to be recommended in the port boarding scenario; The boarding function information is recommended to a client corresponding to the target account, wherein the target account is used to log in to the client.

2. The method according to claim 1, characterized in that Determining a service level of a target object corresponding to the target account based on the operation data includes: Determining the permission attribute of the target object based on the operation data; Based on the permission attribute, determining a permission object group of the target object, wherein the permission object group is used to indicate all objects having the same permission attribute as the target object; Obtaining historical operation data of all objects in the permission object group; The service level of the target object is determined based on the historical operation data and the operation data.

3. The method according to claim 2, characterized in that Determining the service level of the target object based on the operation data includes: Extracting the current boarding status and special service information of the target object from the operation data, wherein the special service information is used to indicate information that the target object purchases special services; In response to the current boarding status being not boarded and not passed security check, determining the service level to be the first service level; In response to the special service information indicating that the special service has been purchased, the service level is determined to be a second service level.

4. The method according to claim 2, characterized in that: Determining the service level of the target object based on the historical operation data includes: Filtering the historical operation data to obtain valid historical operation data; The service level is determined based on the valid historical operation data.

5. The method according to claim 4, characterized in that Determining the service level based on the valid historical operation data includes: Extracting the frequency of the target object purchasing the value-added service from the valid historical operation data; In response to the frequency being greater than a frequency threshold, the service level is determined to be a third service level, wherein the first service level, the second service level and the third service level correspond to different service functions.

6. The method according to claim 1, characterized in that Based on the service level, determining boarding function information matching the target object includes: The service level is input into a matching model for analysis to obtain the boarding function information, wherein the matching model is a pre-set matching calculation rule.

7. A device for recommending functional information, characterized in that: include: An acquisition unit, used to acquire operation data of a target account in a departure boarding scenario, wherein the operation data is used to indicate data related to departure boarding services during the operation of the target account; A first determining unit, configured to determine a service level of a target object corresponding to the target account based on the operation data; A second determining unit is used to determine boarding function information matching the target object based on the service level, wherein the boarding function information is used to represent a target boarding function to be recommended in the port boarding scenario; A recommendation unit is used to recommend the boarding function information to a client corresponding to the target account, wherein the target account is used to log in to the client.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 6.

9. A processor, characterized in that: The processor is used to run a program, wherein the program executes the method according to any one of claims 1 to 6 when running.

10. A computer program product, characterized in that The computer program product comprises computer instructions, which implement the method according to any one of claims 1 to 6 when executed by a processor.

Images