User management method and system based on route travel

Abstract

The invention discloses a route travel-based user management method and system, and the method comprises the steps: obtaining the historical travel information of a target user and the user information of the target user, determining the user tendency information of each target user, obtaining the travel information of each route travel, and determining the corresponding travel tendency information, based on the user tendency information and the travel tendency information, travel matching parameters between each target user and each route travel are determined, a travel parameter set is generated, and then a travel category corresponding to each target user is determined; and performing category division operation on all the target users according to the travel categories to obtain a user travel category corresponding to each target user, and generating user management parameters according to the user travel categories corresponding to the target users. Visibly, by implementing the method and the system, intelligent management can be realized on the user based on the route travel, the intelligence and the reliability of the travel user can be improved, and the travel experience and the comfort of the travel user can be improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management technology, and in particular to a user management method and system based on route itinerary. Background Art

[0002] In recent years, with the continuous development of my country's economy, people's consumption level has been increasing, and people's living standards and quality of life have also improved accordingly. Travel has become a normal part of people's lives.

[0003] At present, most people travel by choosing their own travel time and corresponding travel routes and then traveling in groups. However, this current travel method only gathers travelers to travel according to a predetermined travel route. If users have different interests and travel intentions, people's travel experience will be low. It can be seen that it is particularly important to provide a new tourism user management method to improve the management intelligence and reliability of travel users and thus improve the user's travel experience and comfort. Summary of the invention

[0004] The present invention provides a user management method and device based on route itinerary, which can realize intelligent management of users based on route itinerary, which is beneficial to improving the intelligence and reliability of travel users, and further beneficial to improving the travel experience and comfort of travel users.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a user management method based on route itinerary, the method comprising: Acquire historical travel information of target users and user information of the target users, and determine user tendency information of each target user based on the historical travel information and the user information; wherein the historical travel information includes one or more of historical travel area information, historical travel duration information, historical travel mode information, and historical travel consumption information of each target user, and the user tendency information includes one or more of travel habit information and travel hobby information of each target user; Acquire the itinerary information of each route itinerary, and determine the itinerary tendency information of each route itinerary according to the itinerary information of each route itinerary, wherein the itinerary information includes one or more of the route itinerary duration information, route itinerary travel mode information, route itinerary attraction type information, and route itinerary attraction quantity information of each route itinerary; Determine a travel matching parameter between each of the target users and each of the route trips based on the user tendency information of each of the target users and the trip tendency information of each of the route trips; Based on all the travel matching parameters, a travel parameter set is generated, wherein the travel parameter set at least includes a travel matching degree between each of the target users and each of the route trips; Determine the travel category corresponding to each of the target users according to the set of itinerary parameters, and perform a category classification operation on all the target users according to the travel category corresponding to each of the target users to obtain the user travel category corresponding to each of the target users; User management parameters are generated according to the user travel categories corresponding to all the target users, wherein the user management parameters include travel management parameters corresponding to each of the target users.

[0006] As an optional implementation, in the first aspect of the present invention, after determining the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip, the method further includes: Determine the scenic spot itinerary information of each of the itinerary routes, wherein the scenic spot itinerary information includes one or more of the number of scenic spot information corresponding to each of the itinerary routes, scenic spot location information, distance information between each adjacent scenic spot, scenic spot travel route information, and scenic spot travel sequence information; Based on the scenic spot itinerary information, an estimated travel mode for each of the itineraries is generated, and based on the estimated travel mode, estimated travel cost information corresponding to each of the itineraries is determined, and according to the estimated travel cost information corresponding to each of the itineraries and the scenic spot itinerary information of each of the itineraries, a travel cost performance parameter corresponding to each of the itineraries is determined; According to the travel cost performance parameter corresponding to each of the route itineraries, the travel matching parameter between each of the target users and each of the route itineraries is updated.

[0007] As an optional implementation manner, in the first aspect of the present invention, determining the user tendency information of each target user based on the historical travel information and the user information includes: For each of the target users, determine the historical travel parameters of the target user according to the historical travel information of the target user, and predict the travel prediction duration information of the target user according to the historical travel information of the target user, wherein the historical travel parameters include one or more of the historical departure time parameter, historical arrival time parameter, historical travel duration parameter, historical return time parameter, and historical journey duration parameter of the target user; For each of the target users, according to the user information of the target user, the income information and consumption information of the target user are determined, and based on the income information and consumption information of the target user, the travel prediction consumption information of the target user is predicted; For each of the target users, the user tendency information of the target user is determined according to the travel prediction duration information of the target user and the travel prediction consumption information of the target user.

[0008] As an optional implementation manner, in the first aspect of the present invention, after determining the user tendency information of each target user based on the historical travel information and the user information, the method further includes: Extract key historical travel information from the historical travel information, and determine historical travel tendency information of each target user based on the key historical travel information, wherein the historical travel tendency information includes one or more of travel attraction tendency information, travel transportation mode tendency information, travel diet tendency information, travel route tendency information, and travel duration tendency information of each target user; For each of the target users, based on the historical travel tendency information of the target user, the predicted route planning parameters of the target user are determined, and according to the predicted route planning parameters of the target user, an update operation is performed on the user tendency information of the target user to update the predicted route planning parameters of the target user into the user tendency information of the target user.

[0009] As an optional implementation, in the first aspect of the present invention, after determining the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip, the method further includes: For each of the target users, determining health status information corresponding to the target user according to the user information, wherein the health status information includes historical medical record information and current health status information of the target user; For each of the target users, according to the health status information corresponding to the target user, the regional matching degree between the health status information corresponding to the target user and each travel area corresponding to all the itineraries is calculated, and the target elimination area whose matching degree is less than or equal to a preset matching degree threshold is determined from all the regional matching degrees; According to the target exclusion area of ​​each target user and each route trip, the regional matching relationship between the target exclusion area of ​​each target user and each route trip is determined, and based on the regional matching relationship, matching update parameters are generated, and based on the matching update parameters, a parameter update operation is performed on the travel matching parameters.

[0010] As an optional implementation, in the first aspect of the present invention, after determining the travel tendency information of each of the route trips according to the travel information of each of the route trips, the method further includes: Determine seasonal information, and determine regional travel parameters corresponding to each target travel area included in each route itinerary based on the seasonal information and the itinerary information of each route itinerary, wherein the regional travel parameters include regional travel safety degree parameters and regional travel play degree parameters; According to the regional travel parameters corresponding to each of the target travel areas, the target travel parameters corresponding to each of the route trips are determined, and based on the target travel parameters, the travel tendency information of each of the route trips is updated; wherein the target travel parameters include one or more of the travel safety parameters corresponding to each of the route trips, the travel playability parameters corresponding to each of the route trips, and the weather condition parameters corresponding to each of the route trips.

[0011] As an optional implementation, in the first aspect of the present invention, determining the regional travel parameters corresponding to each target travel area included in each of the route itineraries according to the seasonal information and the itinerary information of each of the route itineraries includes: Obtaining historical area parameters corresponding to each target travel area included in each of the route itineraries, wherein the historical area parameters include one or more of historical weather parameters, historical accident parameters, historical natural disaster parameters, and historical scenic spot viewing degree parameters corresponding to each of the target travel areas; Inputting the historical regional parameters and the seasonal season information corresponding to each of the target travel areas into a predetermined regional prediction model to obtain a regional prediction result corresponding to each of the target travel areas, wherein the regional prediction result includes one or more of a weather prediction result, an accident prediction result, a natural disaster prediction result, and a scenic spot viewing degree prediction result corresponding to each of the target travel areas; According to the regional prediction results corresponding to each of the target travel areas and the itinerary information of each of the route trips, the itinerary prediction travel information of each of the target travel areas included in each of the route trips is determined, and based on the itinerary prediction travel information of each of the route trips, the regional travel parameters corresponding to each of the target travel areas included in each of the route trips are determined.

[0012] A second aspect of the present invention discloses a user management device based on route travel, the device comprising: An acquisition module, used to acquire historical travel information of a target user and user information of the target user; A determination module, configured to determine user tendency information of each target user based on the historical travel information and the user information; wherein the historical travel information includes one or more of historical travel area information, historical travel duration information, historical travel mode information, and historical travel consumption information of each target user, and the user tendency information includes one or more of travel habit information and travel hobby information of each target user; The acquisition module is further used to acquire the itinerary information of each route itinerary; The determination module is further used to determine the travel tendency information of each of the route trips according to the travel information of each of the route trips, wherein the travel information includes one or more of the route trip duration information, route trip travel mode information, route trip attraction type information, and route trip attraction quantity information of each of the route information; The determination module is further configured to determine a travel matching parameter between each of the target users and each of the route trips based on the user tendency information of each of the target users and the trip tendency information of each of the route trips; A generating module, configured to generate a set of travel parameters based on all the travel matching parameters, wherein the set of travel parameters at least includes a travel matching degree between each of the target users and each of the route trips; The determination module is further used to determine the travel category corresponding to each of the target users according to the set of travel parameters; A classification module, used to perform a classification operation on all the target users according to the travel category corresponding to each of the target users, so as to obtain the user travel category corresponding to each of the target users; The generating module is further used to generate user management parameters according to the user travel categories corresponding to all the target users, wherein the user management parameters include travel management parameters corresponding to each of the target users.

[0013] As an optional implementation, in the second aspect of the present invention, the determination module is further used to determine the scenic spot itinerary information of each of the itinerary after determining the travel matching parameters between each of the target users and each of the itinerary based on the user tendency information of each of the target users and the itinerary tendency information of each of the itinerary, wherein the scenic spot itinerary information includes one or more of the number of scenic spots corresponding to each of the itinerary, scenic spot location information, distance information between each adjacent scenic spot, scenic spot travel route information, and scenic spot travel sequence information; The generating module is further used to generate an estimated travel mode for each of the itinerary routes based on the scenic spot itinerary information; The determination module is further used to determine the estimated travel cost information corresponding to each of the itineraries based on the estimated travel mode, and determine the travel cost performance parameter corresponding to each of the itineraries according to the estimated travel cost information corresponding to each of the itineraries and the scenic spot itinerary information of each of the itineraries; The device also includes: The updating module is used to update the travel matching parameters between each target user and each route itinerary according to the travel cost performance parameter corresponding to each route itinerary.

[0014] As an optional implementation, in the second aspect of the present invention, the specific manner in which the determination module determines the user tendency information of each target user based on the historical travel information and the user information includes: For each of the target users, determine the historical travel parameters of the target user according to the historical travel information of the target user, and predict the travel prediction duration information of the target user according to the historical travel information of the target user, wherein the historical travel parameters include one or more of the historical departure time parameter, historical arrival time parameter, historical travel duration parameter, historical return time parameter, and historical journey duration parameter of the target user; For each of the target users, according to the user information of the target user, the income information and consumption information of the target user are determined, and based on the income information and consumption information of the target user, the travel prediction consumption information of the target user is predicted; For each of the target users, the user tendency information of the target user is determined according to the travel prediction duration information of the target user and the travel prediction consumption information of the target user.

[0015] As an optional implementation, in the second aspect of the present invention, the device further includes: An extraction module, configured to extract key historical travel information from the historical travel information after the determination module determines the user tendency information of each target user based on the historical travel information and the user information; The determination module is further configured to determine the historical travel tendency information of each target user based on the key historical travel information, wherein the historical travel tendency information includes one or more of the travel attraction tendency information, travel transportation mode tendency information, travel diet tendency information, travel route tendency information, and travel duration tendency information of each target user; for each target user, based on the historical travel tendency information of the target user, determine the predicted route planning parameters of the target user; The updating module is further used to perform an updating operation on the user tendency information of the target user according to the predicted route planning parameters of the target user, so as to update the predicted route planning parameters of the target user into the user tendency information of the target user.

[0016] As an optional implementation, in the second aspect of the present invention, the determination module is further used to determine the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip, and then, for each target user, determine the health status information corresponding to the target user according to the user information, wherein the health status information includes the historical medical record information and current health status information of the target user; The device also includes: A calculation module, configured to calculate, for each of the target users, a regional matching degree between the health status information corresponding to the target user and each travel area corresponding to all the itineraries according to the health status information corresponding to the target user; The determination module is further configured to determine a target rejection area whose matching degree is less than or equal to a preset matching degree threshold from all the area matching degrees; and determine a region matching relationship between the target rejection area of ​​each target user and each route itinerary according to the target rejection area of ​​each target user and each route itinerary; The generating module is further used to generate matching update parameters based on the area matching relationship, and perform a parameter updating operation on the travel matching parameters based on the matching update parameters.

[0017] As an optional implementation, in the second aspect of the present invention, the determination module is further used to determine the seasonal information after determining the travel tendency information of each of the route trips according to the travel information of each of the route trips, and determine the regional travel parameters corresponding to each target travel area included in each of the route trips according to the seasonal information and the travel information of each of the route trips, wherein the regional travel parameters include regional travel safety degree parameters and regional travel play degree parameters; The determination module is also used to determine the target travel parameters corresponding to each of the route trips according to the regional travel parameters corresponding to each of the target travel areas, and update the travel tendency information of each of the route trips based on the target travel parameters; wherein the target travel parameters include one or more of the travel safety parameters corresponding to each of the route trips, the travel playability parameters corresponding to each of the route trips, and the weather condition parameters corresponding to each of the route trips.

[0018] As an optional implementation, in the second aspect of the present invention, the specific manner in which the determination module determines the regional travel parameters corresponding to each target travel area included in each of the route itineraries according to the seasonal information and the itinerary information of each of the route itineraries includes: Obtaining historical area parameters corresponding to each target travel area included in each of the route itineraries, wherein the historical area parameters include one or more of historical weather parameters, historical accident parameters, historical natural disaster parameters, and historical scenic spot viewing degree parameters corresponding to each of the target travel areas; Inputting the historical regional parameters and the seasonal season information corresponding to each of the target travel areas into a predetermined regional prediction model to obtain a regional prediction result corresponding to each of the target travel areas, wherein the regional prediction result includes one or more of a weather prediction result, an accident prediction result, a natural disaster prediction result, and a scenic spot viewing degree prediction result corresponding to each of the target travel areas; According to the regional prediction results corresponding to each of the target travel areas and the itinerary information of each of the route trips, the itinerary prediction travel information of each of the target travel areas included in each of the route trips is determined, and based on the itinerary prediction travel information of each of the route trips, the regional travel parameters corresponding to each of the target travel areas included in each of the route trips are determined.

[0019] The third aspect of the present invention discloses another route-based user management device, the device comprising: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the route-trip-based user management method disclosed in the first aspect of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storable medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the route-trip-based user management method disclosed in the first aspect of the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In the embodiment of the present invention, the historical travel information of the target user and the user information of the target user are obtained and the user tendency information of each target user is determined, the itinerary information of each route itinerary is obtained and the corresponding itinerary tendency information is determined, the travel matching parameters between each target user and each route itinerary are determined based on the user tendency information and the itinerary tendency information, and a set of itinerary parameters is generated to determine the travel category corresponding to each target user, and the category classification operation is performed on all target users according to the travel category to obtain the user travel category corresponding to each target user, and the user management parameters are generated according to the user travel category corresponding to the target user. It can be seen that the implementation of the present invention can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a flowchart of a user management method based on route itinerary disclosed in an embodiment of the present invention; Figure 2 It is a flowchart of another method for user management based on route travel disclosed in an embodiment of the present invention; Figure 3 It is a structural schematic diagram of a user management device based on route travel disclosed in an embodiment of the present invention; Figure 4 It is a structural schematic diagram of another route-based user management device disclosed in an embodiment of the present invention; Figure 5 It is a structural schematic diagram of another route-based user management device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] 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 are within the scope of protection of the present invention.

[0025] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0026] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0027] The present invention discloses a user management method and device based on route itinerary, which can realize intelligent management of users based on route itinerary, which is beneficial to improve the intelligence and reliability of travel users, and further helps to improve the travel experience and comfort of travel users. The following are detailed descriptions.

[0028] Embodiment 1 See also Figure 1 , Figure 1 1 is a flow chart of a method for user management based on route itinerary disclosed in an embodiment of the present invention. Figure 1 The described route-based user management method can be applied to a route-based user management device, wherein the route-based user management device can be integrated in a cloud server or a local server, which is not limited in the embodiments of the present invention. Figure 1 As shown, the route-based user management method may include the following operations: 101. Obtain historical travel information of target users and user information of target users, and determine user preference information of each target user based on the historical travel information and user information.

[0029] In an embodiment of the present invention, historical travel information includes one or more of each target user's historical travel area information, historical travel duration information, historical travel mode information, and historical travel consumption information, and user tendency information includes one or more of each target user's travel habit information and travel preference information.

[0030] In an embodiment of the present invention, optionally, the historical travel area information of the target user includes the areas or specific geographical locations that the user frequently visited in past travels, and these data can be obtained through GPS positioning, records of travel APP, etc.; the historical travel duration information can include the duration of each trip of the user, including the departure time, arrival time and stay time in the trip; the historical travel mode information can include the travel mode selected by the user, such as walking, bicycle, public transportation (bus, subway, train), taxi, private car, etc.; the historical travel consumption information can include the consumption record of the user during the travel, such as ticket purchase fees, taxi fees, parking fees, etc.; further, the travel habit information of the target user can include the user's travel frequency, preferred travel time (such as morning and evening peak hours or non-peak hours), commonly used travel routes, etc., analyzed based on the user's historical travel data; the travel hobby information can include the preferences shown by the user during travel, such as the preferred travel mode, whether he likes to use technology products (such as navigation APP) during travel, and whether he has a specific travel purpose (such as business, tourism, visiting relatives, etc.).

[0031] 102. Acquire the itinerary information of each route trip, and determine the itinerary tendency information of each route trip according to the itinerary information of each route trip.

[0032] In the embodiment of the present invention, the itinerary information includes one or more of itinerary duration information, itinerary travel mode information, itinerary attraction type information, and itinerary attraction quantity information of each itinerary information.

[0033] In an embodiment of the present invention, optionally, itinerary duration information may include time information required to travel from one location to another and total travel time information corresponding to each itinerary, including but not limited to flight time, driving time, or time for taking transportation such as trains; itinerary travel mode information may include transportation modes used when traveling, such as airplanes, trains, cars, bicycles, walking, etc.; itinerary attraction type information may include types of tourist attractions planned to be visited during the itinerary, such as historical sites, natural scenery, theme parks, museums, shopping centers, etc.; itinerary attraction quantity information may include the total number of tourist attractions included in each itinerary. Further optionally, the itinerary information of each route may also include the number of people participating in the itinerary, and may further include the number of adults and children, the starting and ending points of the itinerary and the transit points, the estimated number of days for the entire itinerary, the total budget for the itinerary, including transportation, accommodation, meals, tickets and other expenses, the purpose of the trip, such as leisure, business, visiting relatives, etc., including the name and address of accommodation places such as hotels, guest houses, and homestays, the address and name of restaurants where meals are eaten, etc., including passenger information, flight and ticket information, as well as the actual ticket price paid by the user, the Civil Aviation Development Fund, fuel surcharges, and other taxes and fees.

[0034] In an embodiment of the present invention, optionally, determining the travel tendency information of each route trip based on the travel information of each route trip may include: extracting key travel information of each route trip, and based on the key travel information, determining the travel behavior parameters corresponding to each route trip, and based on the travel behavior information, determining the travel tendency information of each route trip.

[0035] 103. Based on the user tendency information of each target user and the travel tendency information of each route itinerary, determine the travel matching parameters between each target user and each route itinerary.

[0036] In the embodiment of the present invention, optionally, the determining of the travel matching parameters between each target user and each route itinerary based on the user tendency information of each target user and the itinerary tendency information of each route itinerary may include: Building a user profile of each target user based on the user tendency information of each target user, wherein the user profile of each target user may include one or more of the target user's attributes, travel habits, and travel preferences; Determining the itinerary characteristic information of each route trip according to the itinerary tendency information of each route trip, wherein the itinerary characteristic information may include one or more of the popularity of each route trip, the congestion of the route, and the comfort of the trip; Based on the user portrait of each target user and the travel characteristic information of each route trip, the travel matching parameters between each target user and each route trip are determined; wherein the travel matching parameters between each target user and each route trip may include the travel matching degree between each target user and each route trip.

[0037] 104. Generate a set of travel parameters based on all travel matching parameters.

[0038] In the embodiment of the present invention, the itinerary parameter set includes at least the travel matching degree between each target user and each route itinerary.

[0039] In the embodiment of the present invention, optionally, the number of travel matching degrees included in the travel parameter set is several.

[0040] 105. Determine the travel category corresponding to each target user according to the set of travel parameters, and perform a category classification operation on all target users according to the travel category corresponding to each target user to obtain the user travel category corresponding to each target user.

[0041] In the embodiment of the present invention, optionally, the travel category corresponding to each target user may include one of business travel, leisure travel, and daily commuting.

[0042] In the embodiment of the present invention, optionally, performing a category classification operation on all target users according to the travel category corresponding to each target user to obtain the user travel category corresponding to each target user may include: The travel category corresponding to each target user is input into a predetermined segmentation model to obtain a model segmentation output result. The model segmentation output result may include a user segmentation result corresponding to each target user, and based on the user segmentation result corresponding to each target user, the user travel category corresponding to each target user is determined.

[0043] 106. Generate user management parameters according to the user travel categories corresponding to all target users.

[0044] In the embodiment of the present invention, the user management parameters include travel management parameters corresponding to each target user.

[0045] In an embodiment of the present invention, optionally, the travel management parameters corresponding to each target user may include preference management parameters, authority management parameters, route management parameters, and cost management parameters of each target user. The travel management parameters corresponding to each target user are used to formulate personalized service strategies based on the user's travel category, such as providing fast-track services for business travel users and providing attraction recommendations for leisure travel users.

[0046] It can be seen that implementation Figure 1The described route itinerary-based user management method can obtain the target user's historical travel information and the target user's user information and determine the user tendency information of each target user, obtain the itinerary information of each route itinerary and determine the corresponding itinerary tendency information, determine the travel matching parameters between each target user and each route itinerary based on the user tendency information and the itinerary tendency information and generate a itinerary parameter set to further determine the travel category corresponding to each target user, perform a category classification operation on all target users according to the travel category to obtain the user travel category corresponding to each target user, generate user management parameters according to the user travel category corresponding to the target user, and by analyzing the user's historical travel information and user information, more accurately understand the user's travel habits and hobbies, thereby providing more personalized services and user tendencies. The combined use of orientation information and itinerary tendency information can help design itineraries that better meet user expectations and improve user satisfaction. By matching users and route itineraries, transportation resources can be allocated more effectively, waste can be reduced, and operational efficiency can be improved. Through targeted marketing strategies, expenditures on ineffective marketing can be reduced and the return on marketing investment can be increased. Through automated matching and classification processes, market changes and user needs can be responded to quickly, and service flexibility can be improved, which in turn helps to improve the effectiveness and accuracy of user management. Through in-depth analysis of user behavior and preferences, as well as itinerary characteristics, users can be provided with more accurate and personalized services, and users can be managed intelligently based on route itineraries, which helps to improve the intelligence and reliability of travel users, and thus helps to improve the travel experience and comfort of travel users.

[0047] Embodiment 2 See also Figure 2 , Figure 2 is a flow chart of another method for user management based on route itinerary disclosed in an embodiment of the present invention. Figure 2 The described route-based user management method can be applied to a route-based user management device, wherein the route-based user management device can be integrated in a cloud server or a local server, which is not limited in the embodiments of the present invention. Figure 2 As shown, the route-based user management method may include the following operations: 201. Obtain historical travel information of target users and user information of target users, and determine user preference information of each target user based on the historical travel information and user information.

[0048] 202. Acquire the itinerary information of each route trip, and determine the itinerary tendency information of each route trip according to the itinerary information of each route trip.

[0049] 203. Determine a travel matching parameter between each target user and each route trip based on the user preference information of each target user and the trip preference information of each route trip.

[0050] 204. Determine the scenic spot itinerary information of each route itinerary.

[0051] In the embodiment of the present invention, the scenic spot itinerary information includes one or more of the following: scenic spot quantity information corresponding to each route itinerary, scenic spot location information, distance information between each adjacent scenic spot, scenic spot travel route information, and scenic spot travel sequence information.

[0052] In an embodiment of the present invention, optionally, the information on the number of attractions includes the total number of attractions included in each route itinerary, providing tourists with an expectation of the density of the itinerary; the information on the location of the attractions includes the specific geographical location of each attraction, including longitude and latitude and address information, which is crucial for itinerary planning and navigation; the distance information between each adjacent attraction includes the distance between each attraction, which helps tourists understand the movement time and physical exertion that may be involved in the itinerary; the information on the travel route to the attractions includes how to reach each attraction, which may include public transportation, self-driving routes, etc.; the information on the travel order of the attractions includes the order of visits, which is usually based on factors such as the distance between the attractions, opening hours, and tourist flow.

[0053] 205. Generate an estimated travel mode for each itinerary based on the scenic spot itinerary information, and determine the estimated travel cost information corresponding to each itinerary based on the estimated travel cost information corresponding to each itinerary and the scenic spot itinerary information of each itinerary, and determine the travel cost performance parameter corresponding to each itinerary based on the estimated travel cost information corresponding to each itinerary and the scenic spot itinerary information of each itinerary.

[0054] In the embodiment of the present invention, optionally, the estimated travel mode of each route trip may include the estimated travel transportation mode of each route trip; the estimated travel cost information corresponding to each route trip may include the expenditure cost information of each route trip.

[0055] In the embodiment of the present invention, optionally, according to the estimated travel cost information corresponding to each route and the scenic spot itinerary information of each route, the travel cost performance parameter corresponding to each route can be calculated by a preset target formula, wherein the preset target formula may include: Cost-effectiveness parameter = (number of attractions × location of attractions × travel route to attractions) / estimated travel cost information.

[0056] 206. Update the travel matching parameters between each target user and each route itinerary according to the travel cost performance parameter corresponding to each route itinerary.

[0057] In an embodiment of the present invention, optionally, the updated travel matching parameters between each target user and each route trip include a travel cost performance parameter corresponding to each route trip, wherein the higher the travel cost performance parameter, the higher the travel matching degree corresponding to the travel matching parameters between each target user and each route trip; the lower the travel cost performance parameter, the lower the travel matching degree corresponding to the travel matching parameters between each target user and each route trip.

[0058] 207. Generate a set of travel parameters based on all travel matching parameters.

[0059] 208. Determine the travel category corresponding to each target user according to the set of travel parameters, and perform a category classification operation on all target users according to the travel category corresponding to each target user to obtain the user travel category corresponding to each target user.

[0060] 209. Generate user management parameters according to the user travel categories corresponding to all target users.

[0061] In the embodiment of the present invention, the user management parameters include travel management parameters corresponding to each target user.

[0062] In the embodiment of the present invention, for detailed descriptions of steps 201 to 203 and steps 207 to 209, please refer to other descriptions of steps 101 to 106 in the first embodiment, and the embodiment of the present invention will not be repeated here.

[0063] It can be seen that implementation Figure 2 The described user management method based on route itinerary can determine the scenic spot itinerary information of each route itinerary and generate the estimated travel mode for each route itinerary, determine the estimated travel cost information corresponding to each route itinerary based on the estimated travel mode, and determine the travel cost performance parameter corresponding to each route itinerary in combination with the scenic spot itinerary information of each route itinerary, and update the travel matching parameters between each target user and each route itinerary according to the travel cost performance parameter corresponding to each route itinerary. By combining the user tendency and route itinerary tendency information, more personalized travel suggestions can be provided to the user, thereby improving the user experience. The estimated travel mode and cost information help the user to better plan the itinerary, avoid unnecessary expenses, and improve travel efficiency. The travel cost performance parameter provides the user with a quantitative decision-making basis, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters. By comprehensively considering the personalized needs and itinerary characteristics of the user, more accurate and economical travel suggestions are provided to the user, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters. More accurate and personalized services can be provided to the user, and intelligent management of the user can be realized based on the route itinerary, which is conducive to improving the intelligence and reliability of the travel user, and thus is conducive to improving the travel experience and comfort of the travel user.

[0064] In an optional embodiment, determining user preference information of each target user based on historical travel information and user information includes: For each target user, determine the target user's historical travel parameters based on the target user's historical travel information, and predict the target user's travel prediction duration information based on the target user's historical travel information, wherein the historical travel parameters include one or more of the target user's historical departure time parameter, historical arrival time parameter, historical travel duration parameter, historical return time parameter, and historical journey duration parameter; For each target user, determine the target user's income information and consumption information according to the target user's user information, and predict the target user's travel consumption information based on the target user's income information and consumption information; For each target user, the user tendency information of the target user is determined according to the travel prediction duration information of the target user and the travel prediction consumption information of the target user.

[0065] In this optional embodiment, optionally, for each target user, predicting the travel prediction duration information of the target user based on the historical travel information of the target user may include: According to the historical travel information of the target user, an information processing operation is performed on the historical travel information of the target user through a predetermined travel duration prediction model to obtain the predicted travel duration of the target user, wherein the information processing operation may include one or more of a time series analysis processing operation and a regression analysis processing operation.

[0066] In this optional embodiment, optionally, for each target user, determining the income information and consumption information of the target user according to the user information of the target user may include: For each target user, determine the financial data of the target user according to the user information of the target user, wherein the financial data may include one or more of a bank account, a consumption record, an income level, and a consumption habit; For each target user, the income information and consumption information of the target user are determined according to the financial data of the target user, wherein the consumption information includes the consumption pattern and consumption preference of the target user.

[0067] In this optional embodiment, optionally, for each target user, determining the user tendency information of the target user according to the travel prediction duration information of the target user and the travel prediction consumption information of the target user may include: For each target user, determine the travel preference information of the target user according to the travel prediction duration information of the target user and the travel prediction consumption information of the target user, wherein the travel preference information includes the user's preferred travel time information, destination type information, and consumption level information; For each target user, user tendency information of the target user is determined according to the travel preference information of the target user.

[0068] It can be seen that the implementation of this optional embodiment can determine the historical travel parameters based on the historical travel information of each target user and predict the travel prediction duration information of the target user, and determine the income information and consumption information based on the user information of each target user to further predict the travel prediction consumption information of the target user, and determine the user tendency information based on the travel prediction duration information and travel prediction consumption information of each target user. By combining the historical travel parameters with the user's income and consumption information, the user's travel duration and consumption can be more accurately predicted. By understanding the user's travel habits and consumption capacity, it is helpful to provide personalized travel options and improve user satisfaction. By predicting the user's travel information, the traffic can be allocated more effectively. Through refined user travel predictions, travel and transportation service providers can provide more value-added services, such as itinerary planning and budget suggestions. Accurate travel predictions can help users avoid peak hours or congested routes and improve travel safety and reliability. By deeply analyzing users' travel needs and consumption capacity, more accurate and personalized services can be provided, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and then conducive to improving the travel experience and comfort of travel users.

[0069] In another optional embodiment, after determining the user tendency information of each target user based on the historical travel information and the user information, the method further includes: Extract key historical travel information from the historical travel information, and determine historical travel tendency information of each target user based on the key historical travel information, wherein the historical travel tendency information includes one or more of travel attraction tendency information, travel transportation mode tendency information, travel diet tendency information, travel route tendency information, and travel duration tendency information of each target user; For each target user, the predicted route planning parameters of the target user are determined based on the historical travel tendency information of the target user, and according to the predicted route planning parameters of the target user, an update operation is performed on the user tendency information of the target user to update the predicted route planning parameters of the target user into the user tendency information of the target user.

[0070] In this optional embodiment, the travel attraction tendency information includes attraction type information (such as natural scenery, historical culture, theme parks, etc.), attraction area information (such as city center, suburbs, foreign countries, etc.), frequency of visiting attractions and seasonal pattern information; travel transportation mode tendency information includes preferred travel mode (such as self-driving, public transportation, walking, cycling, etc.), selected means of transportation (such as airplane, train, subway, bus, taxi, etc.), preference for travel comfort, cost and time efficiency; travel food tendency information includes preferred dining type (such as fast food, local specialties, Western food, etc.), dining budget range, and demand for dining convenience during travel; travel route tendency information includes preferred route type (such as shortest path, scenic route, etc.), preference for specific points of interest in the route (such as gas stations, rest areas, shopping centers, etc.), factors considered in route planning (such as avoiding congestion, avoiding toll sections, etc.); travel duration tendency information includes preferred travel duration (such as short day trips, weekend trips, long vacations, etc.), flexibility in travel time (such as whether you are willing to travel during off-peak hours to avoid congestion), and the length of stay arranged in the itinerary.

[0071] In this optional embodiment, optionally, for each target user, determining the predicted route planning parameters of the target user based on the historical travel tendency information of the target user may include: For each target user, extract key travel features from the target user's historical travel tendency information, where the key travel features may include frequently visited attractions, transportation mode selection, eating habits, route selection and travel duration, and user personal attribute features, where the user personal attribute features may include the user's age, gender, and occupation; For each target user, the predicted route planning parameters of the target user are determined based on key travel characteristics combined with real-time data information, where the real-time data information may include real-time traffic data, such as road conditions, weather, and special events.

[0072] In this optional embodiment, the predicted route planning parameters may optionally include recommended routes, transportation methods, dining options, etc.

[0073] It can be seen that the implementation of this optional embodiment can extract key historical travel information from historical travel information and determine the historical travel tendency information of each target user, determine the predicted route planning parameters based on the historical travel tendency information, and perform an update operation on the user tendency information of the target user to update the predicted route planning parameters of the target user to the user tendency information. By analyzing the user's historical travel tendency information, more personalized travel suggestions can be provided to the user, thereby improving user satisfaction. The predicted route planning parameters can help users plan their itineraries more effectively. Combining historical travel tendency information with real-time traffic data can improve the accuracy of travel predictions. Through refined user travel predictions, tourism and transportation service providers can provide more value-added services, such as itinerary planning, budget suggestions, etc., and through in-depth analysis of users' travel needs and consumption capabilities, more accurate and personalized services can be provided, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0074] In yet another optional embodiment, after determining the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip, the method further includes: For each target user, determine the health status information corresponding to the target user according to the user information, wherein the health status information includes the historical medical record information and current health status information of the target user; For each target user, according to the health status information corresponding to the target user, the regional matching degree between the health status information corresponding to the target user and each travel area corresponding to all itineraries is calculated, and the target exclusion area whose matching degree is less than or equal to the preset matching degree threshold is determined from all the regional matching degrees; According to the target exclusion area of ​​each target user and each route trip, the regional matching relationship between the target exclusion area of ​​each target user and each route trip is determined, and based on the regional matching relationship, matching update parameters are generated, and based on the matching update parameters, parameter update operations are performed on the travel matching parameters.

[0075] In this optional embodiment, optionally, for example, by analyzing the user's health status information, it is determined which health conditions may affect the user's travel. For example, certain diseases may restrict the user from traveling in high-altitude areas or extreme climate conditions. For the travel area corresponding to each route itinerary, its characteristics are determined, such as altitude, climate, environmental conditions, accessibility, etc. These characteristics may have an impact on the user's health, and these areas are determined as target exclusion areas.

[0076] In this optional embodiment, the matching update parameters may optionally include the recommended travel area, suggested travel mode or necessary health precautions corresponding to the target user; further, the matching update parameters may also include the matching degree parameters between the target user and each route itinerary.

[0077] In this optional embodiment, optionally, performing a parameter update operation on the travel matching parameters based on the matching update parameters may include performing an update operation on a matching degree corresponding to the travel matching parameters between the target user and each route trip based on the matching update parameters.

[0078] It can be seen that the implementation of this optional embodiment can determine the health status information based on the user information, calculate the regional matching degree between the health status information corresponding to the target user and the travel areas corresponding to all route itineraries, and determine the target exclusion area. According to each target exclusion area and each route itinerary, the regional matching relationship between the target exclusion area of ​​each target user and each route itinerary is determined to generate matching update parameters and perform parameter update operations on the travel matching parameters. By considering the health status of the user, it is possible to avoid arranging the user in an area that may pose a risk to his health, thereby improving the health and safety of travel. The user can avoid going to areas that may aggravate his health problems, thereby improving the travel experience, and more appropriate travel suggestions can be provided based on the user's health status and regional matching degree. and products, by eliminating unsuitable areas, can reduce the risk of users having health problems during travel, and can provide more personalized services based on the user's health status to meet the needs of different users. By predicting and eliminating high-risk areas, it can reduce the risk of users having health problems during travel, and also reduce the potential costs caused by health problems. By in-depth analysis of users' health status and travel needs, it can provide more accurate and personalized services, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0079] In yet another optional embodiment, after determining the travel tendency information of each route trip according to the travel information of each route trip, the method further includes: Determine seasonal information, and determine regional travel parameters corresponding to each target travel area included in each route itinerary based on the seasonal information and the itinerary information of each route itinerary, wherein the regional travel parameters include regional travel safety degree parameters and regional travel play degree parameters; According to the regional travel parameters corresponding to each target travel area, the target travel parameters corresponding to each route trip are determined, and based on the target travel parameters, the travel tendency information of each route trip is updated; wherein the target travel parameters include one or more of the travel safety parameters corresponding to each route trip, the travel playability parameters corresponding to each route trip, and the weather condition parameters corresponding to each route trip.

[0080] In this optional embodiment, optionally, the regional travel safety level parameters may include the safety conditions of the destination in the current season, such as natural disaster risks, public security conditions, etc., and the regional travel entertainment level parameters may include the tourism suitability of the destination in the current season, such as the opening of scenic spots, festival activities, weather conditions, etc.

[0081] In this optional embodiment, optionally, the travel safety parameter may include considering the user's health status and the safety status of the destination, the travel playability parameter may include considering the tourism suitability of the destination and the user's health status, and the weather condition parameter may include the weather forecast of the destination during the user's travel and the user's health status.

[0082] In this optional embodiment, optionally, determining the target travel parameters corresponding to each route trip according to the regional travel parameters corresponding to each target travel area, and updating the travel tendency information of each route trip based on the target travel parameters may include: Collect real-time data of the target travel area, including weather, traffic conditions, tourist peak season information, safety alerts, etc., as well as historical travel data and user feedback of target users to understand user preferences and past experiences; analyze regional travel safety parameters and regional travel play parameters, and determine the regional travel parameters corresponding to each target travel area based on the regional travel safety parameters and regional travel play parameters, where the regional travel safety parameters include public security conditions, natural disaster risks, and epidemic conditions, and the regional travel play parameters include the opening of scenic spots, cultural activities, and seasonal events; Calculate the matching degree between the user's health status and the target travel area, and determine the matching degree between the user's travel preference and the target area, and then determine the travel safety parameters, travel playability parameters, and weather condition parameters of each route according to the matching degree, and generate target travel parameters. According to the target travel parameters, update the travel tendency information of the route, such as adjusting the itinerary to avoid high-risk areas or bad weather.

[0083] It can be seen that the implementation of this optional embodiment can determine the regional travel parameters corresponding to each target travel area in each route itinerary according to the seasonal information and the itinerary information, and determine the target travel parameters according to the regional travel parameters to update the itinerary tendency information of each route itinerary. By analyzing the safety status of the destination in the current season, it can avoid guiding users to areas where there may be natural disaster risks or public security problems, thereby improving the travel safety of users. It can consider the tourism suitability of the destination, such as the opening status of scenic spots and festival activities, and can help users plan more interesting and attractive itineraries and enhance the travel experience. It can update the itinerary tendency information according to real-time information such as weather conditions, which can help users make more Reasonable itinerary arrangements can avoid bad weather and ensure a smooth journey. Based on the user's health status and travel preferences, personalized travel suggestions can be provided to meet the needs of different users and improve user satisfaction. By analyzing the travel parameters of each area, tourism resources can be better allocated to avoid excessive crowding and improve the overall efficiency of tourism services. By providing high-quality services that meet user needs and preferences, it is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus helping to improve the travel experience and comfort of travel users.

[0084] In another optional embodiment, according to the seasonal information and the itinerary information of each route itinerary, the regional travel parameters corresponding to each target travel area included in each route itinerary are determined, including: Obtaining historical area parameters corresponding to each target travel area included in each route itinerary, wherein the historical area parameters include one or more of historical weather parameters, historical accident parameters, historical natural disaster parameters, and historical scenic spot viewing degree parameters corresponding to each target travel area; Inputting the historical regional parameters and seasonal season information corresponding to each target travel area into a predetermined regional prediction model to obtain a regional prediction result corresponding to each target travel area, wherein the regional prediction result includes one or more of a weather prediction result, an accident prediction result, a natural disaster prediction result, and a scenic spot appreciation prediction result corresponding to each target travel area; According to the regional prediction results corresponding to each target travel area and the itinerary information of each route trip, the itinerary prediction travel information of each target travel area included in each route trip is determined, and based on the itinerary prediction travel information of each route trip, the regional travel parameters corresponding to each target travel area included in each route trip are determined.

[0085] In this optional embodiment, optionally, historical weather parameters include past meteorological data such as temperature, precipitation, wind speed and direction, humidity, atmospheric pressure, etc.; historical accident parameters include the type, frequency, severity and possible causes of traffic accidents that have occurred in a specific area or route in the past; historical natural disaster parameters include the type of natural disasters that have occurred in a certain area in history (such as earthquakes, floods, typhoons, etc.), the time of occurrence, the scope and extent of impact; historical scenic spot viewing level parameters include the attractiveness of tourist attractions in the past, the number of tourists received, the peak tourist season, and the satisfaction of tourists, etc.

[0086] In this optional embodiment, optionally, the weather forecast results include weather conditions in the future period of time, such as temperature, precipitation probability, wind speed and wind direction; the accident prediction results include predictions of the types, frequency and severity of traffic accidents that may occur in a specific area; the natural disaster prediction results include predictions of natural disasters that may occur in a specific area, such as earthquakes, floods, typhoons, etc.; the scenic spot viewing level prediction results include predictions of the tourist suitability of the tourist destination in the current season, such as the opening status of the scenic spot, festival activities and weather conditions.

[0087] In this optional embodiment, optionally, the above-mentioned determining the predicted itinerary travel information of each target travel area included in each route itinerary according to the regional prediction result corresponding to each target travel area and the itinerary information of each route itinerary may include: An information fitting operation is performed according to the regional prediction results corresponding to each target travel area and the itinerary information of each route trip to obtain an information fitting result, wherein the information fitting result includes the difference information and the same information between the regional prediction results and the itinerary information; based on the information fitting result, the itinerary prediction travel information of each target travel area included in each route trip is determined.

[0088] In this optional embodiment, optionally, the regional travel parameters corresponding to each target travel area included in each route trip include at least predicted travel information of each route trip.

[0089] It can be seen that the implementation of this optional embodiment can obtain the historical regional parameters of each target travel area included in each route itinerary, and input the historical regional parameters and seasonal season information into the regional prediction model to obtain the regional prediction results, and determine the itinerary prediction travel information of each target travel area according to the regional prediction results and the itinerary information of the route itinerary, and then determine the regional travel parameters corresponding to each target travel area included in each route itinerary. By predicting potential accidents and natural disaster risks, it can help users avoid going to dangerous areas and ensure travel safety. By predicting the best viewing period of scenic spots, it can provide users with a higher quality travel experience, and considering the historical weather and scenic spot viewing parameters, it can help users choose the best The best travel time and route, avoiding bad weather and peak tourist seasons, combined with the user's travel preferences and regional forecast results, can provide more personalized travel suggestions, provide forecast information based on user needs and preferences, can increase user satisfaction, and provide more accurate and personalized services through in-depth analysis of user travel needs and real-time conditions of the destination. By providing high-quality services that meet user needs and preferences, it is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0090] Embodiment 3 See also Figure 3 , Figure 3 Schematic diagram of the structure of a user management device based on route travel disclosed in an embodiment of the present invention. Figure 3 As shown, the route-based user management device may include: An acquisition module 301 is used to acquire historical travel information of a target user and user information of the target user; The determination module 302 is used to determine the user tendency information of each target user based on the historical travel information and the user information; wherein the historical travel information includes one or more of the historical travel area information, historical travel duration information, historical travel mode information, and historical travel consumption information of each target user, and the user tendency information includes one or more of the travel habit information and travel hobby information of each target user; The acquisition module 301 is also used to obtain the itinerary information of each route itinerary; The determination module 302 is further used to determine the travel tendency information of each route trip according to the travel information of each route trip, wherein the travel information includes one or more of the route trip duration information, route trip travel mode information, route trip attraction type information, and route trip attraction quantity information of each route information; The determination module 302 is further used to determine the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip; A generating module 303 is used to generate a travel parameter set based on all travel matching parameters, wherein the travel parameter set at least includes a travel matching degree between each target user and each route travel; The determination module 302 is further used to determine the travel category corresponding to each target user according to the set of travel parameters; A classification module 304 is used to perform a classification operation on all target users according to the travel category corresponding to each target user, so as to obtain the user travel category corresponding to each target user; The generating module 303 is further used to generate user management parameters according to the user travel categories corresponding to all target users, wherein the user management parameters include travel management parameters corresponding to each target user.

[0091] It can be seen that implementation Figure 3 The described device can obtain the historical travel information of the target user and the user information of the target user and determine the user tendency information of each target user, obtain the travel information of each route trip and determine the corresponding travel tendency information, determine the travel matching parameters between each target user and each route trip based on the user tendency information and the travel tendency information and generate a travel parameter set to further determine the travel category corresponding to each target user, perform a category classification operation on all target users according to the travel category to obtain the user travel category corresponding to each target user, generate user management parameters according to the user travel category corresponding to the target user, and by analyzing the user's historical travel information and user information, more accurately understand the user's travel habits and hobbies, thereby providing more personalized services, user tendency information and itinerary. The combined use of preference information can help design itineraries that better meet user expectations and improve user satisfaction. By matching users and route itineraries, transportation resources can be allocated more effectively, waste can be reduced, and operational efficiency can be improved. Through targeted marketing strategies, expenditures on ineffective marketing can be reduced and the return on marketing investment can be increased. Through automated matching and classification processes, market changes and user needs can be responded to quickly, and service flexibility can be improved, which in turn helps to improve the effectiveness and accuracy of user management. Through in-depth analysis of user behavior and preferences, as well as itinerary characteristics, users can be provided with more accurate and personalized services, and users can be managed intelligently based on route itineraries, which helps to improve the intelligence and reliability of travel users, and thus helps to improve the travel experience and comfort of travel users.

[0092] In an optional embodiment, if Figure 4As shown, the determination module 302 is further used to determine the scenic spot itinerary information of each itinerary after determining the travel matching parameters between each target user and each itinerary based on the user tendency information of each target user and the itinerary tendency information of each itinerary, wherein the scenic spot itinerary information includes one or more of the number of scenic spots corresponding to each itinerary, scenic spot location information, distance information between each adjacent scenic spot, scenic spot travel route information, and scenic spot travel sequence information; The generating module 303 is further used to generate an estimated travel mode for each route itinerary based on the scenic spot itinerary information; The determination module 302 is further used to determine the estimated travel cost information corresponding to each itinerary based on the estimated travel mode, and determine the travel cost performance parameter corresponding to each itinerary according to the estimated travel cost information corresponding to each itinerary and the scenic spot itinerary information of each itinerary; The device also includes: The updating module 305 is used to update the travel matching parameters between each target user and each route trip according to the travel cost performance parameters corresponding to each route trip.

[0093] It can be seen that implementation Figure 4 The described device can determine the scenic spot itinerary information of each route itinerary and generate an estimated travel mode for each route itinerary, determine the estimated travel cost information corresponding to each route itinerary based on the estimated travel mode, and determine the travel cost performance parameter corresponding to each route itinerary in combination with the scenic spot itinerary information of each route itinerary, and update the travel matching parameters between each target user and each route itinerary according to the travel cost performance parameter corresponding to each route itinerary. By combining the user tendency and route itinerary tendency information, more personalized travel suggestions can be provided to the user, thereby improving the user experience. The estimated travel mode and cost information help the user to better plan the itinerary, avoid unnecessary expenses, and improve travel efficiency. The travel cost performance parameter provides the user with a quantitative decision-making basis, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters. By comprehensively considering the personalized needs and itinerary characteristics of the user, more accurate and economical travel suggestions are provided to the user, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters. It can provide users with more accurate and personalized services, can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0094] In another optional embodiment, Figure 4 As shown, the specific manner in which the determination module 302 determines the user tendency information of each target user based on the historical travel information and the user information includes: For each target user, determine the target user's historical travel parameters based on the target user's historical travel information, and predict the target user's travel prediction duration information based on the target user's historical travel information, wherein the historical travel parameters include one or more of the target user's historical departure time parameter, historical arrival time parameter, historical travel duration parameter, historical return time parameter, and historical journey duration parameter; For each target user, determine the target user's income information and consumption information according to the target user's user information, and predict the target user's travel consumption information based on the target user's income information and consumption information; For each target user, the user tendency information of the target user is determined according to the travel prediction duration information of the target user and the travel prediction consumption information of the target user.

[0095] It can be seen that implementation Figure 4 The described device can determine historical travel parameters and predict the travel prediction duration information of the target user according to the historical travel information of each target user, and determine income information and consumption information according to the user information of each target user, and then predict the travel prediction consumption information of the target user, and determine user tendency information according to the travel prediction duration information and travel prediction consumption information of each target user, and can more accurately predict the travel duration and consumption of the user by combining the historical travel parameters and the user's income and consumption information, and help to provide personalized travel options and improve user satisfaction by understanding the user's travel habits and consumption capacity, and can more effectively allocate traffic resources and improve operational efficiency by predicting the user's travel information, and through refined user travel prediction, tourism and transportation service providers can provide more value-added services, such as itinerary planning and budget suggestions, and accurate travel prediction can help users avoid peak hours or congested routes, and improve travel safety and reliability, and can provide more accurate and personalized services by deeply analyzing the user's travel needs and consumption capacity, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services, and can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0096] In yet another optional embodiment, Figure 4 As shown, the device also includes: An extraction module 306, configured to extract key historical travel information from the historical travel information after the determination module 302 determines the user tendency information of each target user based on the historical travel information and the user information; The determination module 302 is further used to determine the historical travel tendency information of each target user based on the key historical travel information, wherein the historical travel tendency information includes one or more of the travel attraction tendency information, the travel transportation mode tendency information, the travel diet tendency information, the travel route tendency information, and the travel duration tendency information of each target user; for each target user, based on the historical travel tendency information of the target user, determine the predicted route planning parameters of the target user; The updating module 305 is further used to perform an updating operation on the user tendency information of the target user according to the predicted route planning parameters of the target user, so as to update the predicted route planning parameters of the target user into the user tendency information of the target user.

[0097] It can be seen that implementation Figure 4 The described device can extract key historical travel information from historical travel information and determine the historical travel tendency information of each target user, determine the predicted route planning parameters based on the historical travel tendency information, and perform an update operation on the user tendency information of the target user to update the predicted route planning parameters of the target user to the user tendency information. By analyzing the historical travel tendency information of the user, more personalized travel suggestions can be provided to the user, thereby improving user satisfaction. The predicted route planning parameters can help users plan their itineraries more effectively. Combining historical travel tendency information with real-time traffic data can improve the accuracy of travel predictions. Through refined user travel predictions, tourism and transportation service providers can provide more value-added services, such as itinerary planning, budget suggestions, etc. Through in-depth analysis of the user's travel needs and consumption capacity, more accurate and personalized services can be provided, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0098] In yet another optional embodiment, Figure 4 As shown, the determination module 302 is further used to determine the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip, and then, for each target user, determine the health status information corresponding to the target user according to the user information, wherein the health status information includes the historical medical record information and current health status information of the target user; The device also includes: The calculation module 307 is used to calculate, for each target user, the regional matching degree between the health status information corresponding to the target user and each travel area corresponding to all itineraries according to the health status information corresponding to the target user; The determination module 302 is further used to determine a target rejection area whose matching degree is less than or equal to a preset matching degree threshold from all area matching degrees; and determine the area matching relationship between the target rejection area of ​​each target user and each route trip according to the target rejection area of ​​each target user and each route trip; The generating module 303 is further used to generate matching update parameters based on the area matching relationship, and perform a parameter updating operation on the travel matching parameters based on the matching update parameters.

[0099] It can be seen that implementation Figure 4 The described device can determine health status information based on user information, calculate the regional matching degree between the health status information corresponding to the target user and the travel areas corresponding to all route itineraries, and determine the target exclusion area. According to each target exclusion area and each route itinerary, the regional matching relationship between the target exclusion area of ​​each target user and each route itinerary is determined, and then a matching update parameter is generated and a parameter update operation is performed on the travel matching parameter. By considering the health status of the user, it is possible to avoid arranging the user in an area that may pose a risk to his health, thereby improving the health and safety of travel. The user can avoid going to areas that may aggravate his health problems, thereby improving the travel experience, and more suitable travel suggestions and products can be provided according to the user's health status and regional matching degree. By eliminating unsuitable areas, the risk of health problems for users during travel can be reduced. More personalized services can be provided based on the user's health status to meet the needs of different users. By predicting and eliminating high-risk areas, the risk of health problems for users during travel can be reduced, while also reducing the potential costs caused by health problems. By deeply analyzing the user's health status and travel needs, more accurate and personalized services can be provided, which is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0100] In yet another optional embodiment, Figure 4 As shown, the determination module 302 is further used to determine the seasonal information after determining the travel tendency information of each route trip according to the travel information of each route trip, and determine the regional travel parameters corresponding to each target travel area included in each route trip according to the seasonal information and the travel information of each route trip, wherein the regional travel parameters include regional travel safety degree parameters and regional travel play degree parameters; The determination module 302 is also used to determine the target travel parameters corresponding to each route trip according to the regional travel parameters corresponding to each target travel area, and update the travel tendency information of each route trip based on the target travel parameters; wherein the target travel parameters include one or more of the travel safety parameters corresponding to each route trip, the travel playability parameters corresponding to each route trip, and the weather condition parameters corresponding to each route trip.

[0101] It can be seen that implementation Figure 4 The described device can determine the regional travel parameters corresponding to each target travel area in each route itinerary according to the seasonal information and itinerary information, and determine the target travel parameters according to the regional travel parameters to update the itinerary tendency information of each route itinerary. It can avoid guiding users to areas where there may be natural disaster risks or public security problems by analyzing the safety status of the destination in the current season, thereby improving the travel safety of users. It can consider the tourism suitability of the destination, such as the opening status of scenic spots and festival activities, and can help users plan more interesting and attractive itineraries and enhance the travel experience. It can update the itinerary tendency information according to real-time information such as weather conditions, which can help users make more reasonable Itinerary arrangements, avoiding bad weather, ensuring a smooth journey, combining the user's health status and travel preferences, providing personalized travel suggestions, meeting the needs of different users, and improving user satisfaction. By analyzing the travel parameters of each area, tourism resources can be better allocated, overcrowding can be avoided, and the overall efficiency of tourism services can be improved. By providing high-quality services that meet user needs and preferences, it is conducive to improving the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is conducive to improving the intelligence and reliability of travel users, and thus is conducive to improving the travel experience and comfort of travel users.

[0102] In yet another optional embodiment, Figure 4 As shown, the specific manner in which the determination module 302 determines the regional travel parameters corresponding to each target travel area included in each route itinerary according to the seasonal information and the itinerary information of each route itinerary includes: Obtaining historical area parameters corresponding to each target travel area included in each route itinerary, wherein the historical area parameters include one or more of historical weather parameters, historical accident parameters, historical natural disaster parameters, and historical scenic spot viewing degree parameters corresponding to each target travel area; Inputting the historical regional parameters and seasonal season information corresponding to each target travel area into a predetermined regional prediction model to obtain a regional prediction result corresponding to each target travel area, wherein the regional prediction result includes one or more of a weather prediction result, an accident prediction result, a natural disaster prediction result, and a scenic spot appreciation prediction result corresponding to each target travel area; According to the regional prediction results corresponding to each target travel area and the itinerary information of each route trip, the itinerary prediction travel information of each target travel area included in each route trip is determined, and based on the itinerary prediction travel information of each route trip, the regional travel parameters corresponding to each target travel area included in each route trip are determined.

[0103] It can be seen that implementation Figure 4 The described device can obtain the historical regional parameters of each target travel area included in each route itinerary, and input the historical regional parameters and seasonal season information into the regional prediction model to obtain the regional prediction results, determine the itinerary prediction travel information of each target travel area according to the regional prediction results and the itinerary information of the route itinerary, and then determine the regional travel parameters corresponding to each target travel area included in each route itinerary, by predicting potential accidents and natural disaster risks, it can help users avoid going to dangerous areas and ensure travel safety, and by predicting the best viewing period of scenic spots, it can provide users with a higher quality travel experience, and considering the historical weather and scenic spot viewing parameters, it can help users choose the best travel Travel time and route, avoid bad weather and peak tourist seasons, combine user travel preferences and regional forecast results, and provide more personalized travel suggestions. Providing forecast information based on user needs and preferences can increase user satisfaction. By deeply analyzing user travel needs and real-time conditions of the destination, more accurate and personalized services can be provided. By providing high-quality services that meet user needs and preferences, it is beneficial to improve the accuracy, intelligence and reliability of generating user management parameters, and can provide users with more accurate and personalized services. It can realize intelligent management of users based on route itineraries, which is beneficial to improve the intelligence and reliability of travel users, and thus help improve the travel experience and comfort of travel users.

[0104] Embodiment 4 See also Figure 5 , Figure 5 FIG. 1 is a schematic diagram of the structure of another user management device based on route travel disclosed in an embodiment of the present invention. Figure 5 As shown, the route-based user management device may include: A memory 401 storing executable program codes; a processor 402 coupled to the memory 401; The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the route-based user management method described in the first embodiment of the present invention or the second embodiment of the present invention.

[0105] Embodiment 5 The embodiment of the present invention discloses a computer storable medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the user management method based on route itinerary described in the first embodiment of the present invention or the second embodiment of the present invention.

[0106] Embodiment 6 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the route-trip-based user management method described in Embodiment 1 or Embodiment 2.

[0107] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0108] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0109] Finally, it should be noted that the route-based user management method and device disclosed in the embodiments of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A user management method based on route itinerary, characterized in that: The method comprises: Acquire historical travel information of target users and user information of the target users, and determine user tendency information of each target user based on the historical travel information and the user information; wherein the historical travel information includes one or more of historical travel area information, historical travel duration information, historical travel mode information, and historical travel consumption information of each target user, and the user tendency information includes one or more of travel habit information and travel hobby information of each target user; Acquire the itinerary information of each route itinerary, and determine the itinerary tendency information of each route itinerary according to the itinerary information of each route itinerary, wherein the itinerary information includes one or more of the route itinerary duration information, route itinerary travel mode information, route itinerary attraction type information, and route itinerary attraction quantity information of each route itinerary; Determine a travel matching parameter between each of the target users and each of the route trips based on the user tendency information of each of the target users and the trip tendency information of each of the route trips; Based on all the travel matching parameters, a travel parameter set is generated, wherein the travel parameter set at least includes a travel matching degree between each of the target users and each of the route trips; Determine the travel category corresponding to each of the target users according to the set of itinerary parameters, and perform a category classification operation on all the target users according to the travel category corresponding to each of the target users to obtain the user travel category corresponding to each of the target users; User management parameters are generated according to the user travel categories corresponding to all the target users, wherein the user management parameters include travel management parameters corresponding to each of the target users.

2. The user management method based on route travel according to claim 1, characterized in that: After determining the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip, the method further includes: Determine the scenic spot itinerary information of each of the itinerary routes, wherein the scenic spot itinerary information includes one or more of the number of scenic spot information corresponding to each of the itinerary routes, scenic spot location information, distance information between each adjacent scenic spot, scenic spot travel route information, and scenic spot travel sequence information; Based on the scenic spot itinerary information, an estimated travel mode for each of the itineraries is generated, and based on the estimated travel mode, estimated travel cost information corresponding to each of the itineraries is determined, and according to the estimated travel cost information corresponding to each of the itineraries and the scenic spot itinerary information of each of the itineraries, a travel cost performance parameter corresponding to each of the itineraries is determined; According to the travel cost performance parameter corresponding to each of the route itineraries, the travel matching parameter between each of the target users and each of the route itineraries is updated.

3. The user management method based on route travel according to claim 2, characterized in that: The determining the user tendency information of each target user based on the historical travel information and the user information includes: For each of the target users, determine the historical travel parameters of the target user according to the historical travel information of the target user, and predict the travel prediction duration information of the target user according to the historical travel information of the target user, wherein the historical travel parameters include one or more of the historical departure time parameter, historical arrival time parameter, historical travel duration parameter, historical return time parameter, and historical journey duration parameter of the target user; For each of the target users, according to the user information of the target user, the income information and consumption information of the target user are determined, and based on the income information and consumption information of the target user, the travel prediction consumption information of the target user is predicted; For each of the target users, the user tendency information of the target user is determined according to the travel prediction duration information of the target user and the travel prediction consumption information of the target user.

4. The user management method based on route travel according to claim 3, characterized in that: After determining the user tendency information of each target user based on the historical travel information and the user information, the method further includes: Extract key historical travel information from the historical travel information, and determine historical travel tendency information of each target user based on the key historical travel information, wherein the historical travel tendency information includes one or more of travel attraction tendency information, travel transportation mode tendency information, travel diet tendency information, travel route tendency information, and travel duration tendency information of each target user; For each of the target users, the predicted route planning parameters of the target user are determined based on the historical travel tendency information of the target user, and according to the predicted route planning parameters of the target user, an update operation is performed on the user tendency information of the target user to update the predicted route planning parameters of the target user into the user tendency information of the target user.

5. The user management method based on route travel according to claim 1, characterized in that: After determining the travel matching parameters between each target user and each route trip based on the user tendency information of each target user and the trip tendency information of each route trip, the method further includes: For each of the target users, determining health status information corresponding to the target user according to the user information, wherein the health status information includes historical medical record information and current health status information of the target user; For each of the target users, according to the health status information corresponding to the target user, the regional matching degree between the health status information corresponding to the target user and each travel area corresponding to all the itineraries is calculated, and the target elimination area whose matching degree is less than or equal to a preset matching degree threshold is determined from all the regional matching degrees; According to the target exclusion area of ​​each target user and each route trip, the regional matching relationship between the target exclusion area of ​​each target user and each route trip is determined, and based on the regional matching relationship, matching update parameters are generated, and based on the matching update parameters, a parameter update operation is performed on the travel matching parameters.

6. The user management method based on route itinerary according to claim 1, characterized in that: After determining the travel tendency information of each route trip according to the travel information of each route trip, the method further includes: Determine seasonal information, and determine regional travel parameters corresponding to each target travel area included in each route itinerary based on the seasonal information and the itinerary information of each route itinerary, wherein the regional travel parameters include regional travel safety degree parameters and regional travel play degree parameters; According to the regional travel parameters corresponding to each of the target travel areas, the target travel parameters corresponding to each of the route trips are determined, and based on the target travel parameters, the travel tendency information of each of the route trips is updated; wherein the target travel parameters include one or more of the travel safety parameters corresponding to each of the route trips, the travel playability parameters corresponding to each of the route trips, and the weather condition parameters corresponding to each of the route trips.

7. The user management method based on route travel according to claim 6, characterized in that: The step of determining the regional travel parameters corresponding to each target travel area included in each route itinerary according to the seasonal information and the itinerary information of each route itinerary includes: Obtaining historical area parameters corresponding to each target travel area included in each of the route itineraries, wherein the historical area parameters include one or more of historical weather parameters, historical accident parameters, historical natural disaster parameters, and historical scenic spot viewing degree parameters corresponding to each of the target travel areas; Inputting the historical regional parameters and the seasonal season information corresponding to each of the target travel areas into a predetermined regional prediction model to obtain a regional prediction result corresponding to each of the target travel areas, wherein the regional prediction result includes one or more of a weather prediction result, an accident prediction result, a natural disaster prediction result, and a scenic spot viewing degree prediction result corresponding to each of the target travel areas; According to the regional prediction results corresponding to each of the target travel areas and the itinerary information of each of the route trips, the itinerary prediction travel information of each of the target travel areas included in each of the route trips is determined, and based on the itinerary prediction travel information of each of the route trips, the regional travel parameters corresponding to each of the target travel areas included in each of the route trips are determined.

8. A user management device based on route itinerary, characterized in that: The device comprises: An acquisition module, used to acquire historical travel information of a target user and user information of the target user; A determination module, configured to determine user tendency information of each target user based on the historical travel information and the user information; wherein the historical travel information includes one or more of historical travel area information, historical travel duration information, historical travel mode information, and historical travel consumption information of each target user, and the user tendency information includes one or more of travel habit information and travel hobby information of each target user; The acquisition module is further used to acquire the itinerary information of each route itinerary; The determination module is further used to determine the travel tendency information of each of the route trips according to the travel information of each of the route trips, wherein the travel information includes one or more of the route trip duration information, route trip travel mode information, route trip attraction type information, and route trip attraction quantity information of each of the route information; The determination module is further configured to determine a travel matching parameter between each of the target users and each of the route trips based on the user tendency information of each of the target users and the trip tendency information of each of the route trips; A generating module, configured to generate a set of travel parameters based on all the travel matching parameters, wherein the set of travel parameters at least includes a travel matching degree between each of the target users and each of the route trips; The determination module is further used to determine the travel category corresponding to each of the target users according to the set of travel parameters; A classification module, used to perform a classification operation on all the target users according to the travel category corresponding to each of the target users, so as to obtain the user travel category corresponding to each of the target users; The generating module is further used to generate user management parameters according to the user travel categories corresponding to all the target users, wherein the user management parameters include travel management parameters corresponding to each of the target users.

9. A user management device based on route itinerary, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the route-trip-based user management method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the user management method based on route itinerary as described in any one of claims 1-7.

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