Personalized tourist route recommendation method

Abstract

The invention discloses a personalized tourism route recommendation method, which belongs to the technical field of tourism services, and comprises the following steps: data collection and analysis; constructing a knowledge graph; personalized itinerary planning is carried out; establishing a tour route recommendation platform; a high-quality accommodation and traffic selection scheme is provided; customer service and support are provided; and querying and updating in real time. According to the personalized tourist route recommendation method, through deep data mining, an intelligent knowledge graph, a high-quality service network, all-weather support and real-time information updating, the recommendation accuracy, the user experience and the cost effectiveness are remarkably improved, and compared with an existing recommendation method, the personalized requirements of tourists can be better met.

Description

Technical Field

[0001] The invention belongs to the technical field of tourism services, and in particular relates to a personalized tourism route recommendation method. Background Art

[0002] Travel route recommendations can provide tourists with a tour itinerary that meets time and economic cost constraints and meets the personalized needs of tourists, effectively reducing the time and economic costs of travel while meeting the personalized needs of tourists.

[0003] However, most of the existing tourist route recommendation methods predict tourists' travel preferences based on tourists with similar behaviors, and then make route recommendations, resulting in a low match between the recommended tourist routes and tourists' personalized needs. In addition, the constraint effect on economic costs basically depends on the costs of tourists with similar behaviors. This is not conducive to controlling the economic costs of recommended routes for new tourists, and easily leads to the problem that the recommended routes are difficult to be accepted by tourists.

[0004] To this end, we propose a personalized travel route recommendation method to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to solve the problem in the prior art that the existing tourist route recommendation is difficult to meet the personalized needs of tourists, and to propose a personalized tourist route recommendation method.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A personalized travel route recommendation method comprises the following steps:

[0008] S1. Data collection and analysis: Establish a travel route recommendation platform, collect user data information, and analyze user personalized needs based on the data information;

[0009] S2. Knowledge graph construction: Use semantic data models to construct tourism knowledge graphs, describe tourism resources in a structured manner, and form an interconnected information network;

[0010] S3. Personalized itinerary planning: Establish a travel route recommendation platform. The platform system recommends personalized travel routes and activities to users by combining users' personalized needs and travel knowledge graphs. The system can also adjust the recommendation plan based on users' real-time feedback and behavior patterns.

[0011] S4. Provide high-quality accommodation and transportation options: By cooperating with well-known hotels, resorts and transportation service companies, and providing accommodation options and transportation based on personalized itineraries recommended to users;

[0012] S5. Provide customer service and support: Provide users with 24-hour customer service and support through the travel route recommendation platform to help users deal with itinerary changes, special needs and other issues to ensure users' comfort and convenience during their trip;

[0013] S6. Real-time query and update: During the travel process, the travel route recommendation platform can also respond to users' query requests in real time, provide the latest travel information and suggestions, and ensure the smooth progress of the trip.

[0014] Preferably, in S1, the collected data information includes the user's personal information, travel preferences, historical behavior and real-time behavior data.

[0015] Preferably, the personal information includes age, gender, and occupation, which is used to understand the user's basic background and possible interests;

[0016] The travel preference: understanding the type of travel experience preferred by the user, wherein the type of travel experience includes cultural exploration, natural scenery, city sightseeing, and adventure activities;

[0017] The historical behavior data: summarizes the user's travel habits and preferences by analyzing the user's past travel records, search and booking history, evaluations and feedback;

[0018] The real-time behavior data includes the user's real-time location, search behavior, and interaction with the recommendation platform system, and is used to adjust the recommendation strategy in real time.

[0019] Preferably, the semantic data model in S2 includes a Resource Description Framework (RDF), and the tourism resources include attractions, hotels, restaurants and transportation resources.

[0020] Preferably, the tourism knowledge graph in S2 describes entities in the tourism field and their relationships with each other in the form of nodes and edges, and forms an interconnected information network structure through entities and their relationships with each other, so as to realize intelligent recommendation and search functions, and the entities in the tourism field include attractions, hotels, and restaurants.

[0021] Preferably, in S3, the travel route recommendation platform will also provide a corresponding travel team for each user. The travel team will communicate with the user to understand the user's interests, needs and budget, and further tailor a travel plan for the user based on the user's personalized routes and activities recommended by the platform system.

[0022] Preferably, the specific construction steps in S4 include:

[0023] S401. Build a partner network: Establish partnerships with a range of high-quality accommodation and transportation service providers. When working with them, focus on selecting suppliers with high service quality, good user reviews, and the ability to provide personalized services.

[0024] S402, based on the user's information in the data collection and analysis step S1, corresponding to the user's preferences and needs for accommodation and transportation, and according to the itinerary planning and user preferences, provide a combination of multiple transportation modes;

[0025] S403, dynamic matching and recommendation: based on user preferences, recommending matching accommodation options, taking into account multiple dimensions, including location, price, facilities, and services;

[0026] S404, real-time adjustment and optimization: During the travel process, real-time monitoring of user needs and external environment changes, and adjustment of accommodation and transportation plans as needed;

[0027] S405, User Feedback Loop: Collect user feedback on accommodation and transportation services, continuously adjust cooperation strategies and recommendation algorithms, ensure that the services provided always meet user expectations, and continuously improve service quality.

[0028] Preferably, in S5, a 24 / 7 customer support solution is adopted, specifically including:

[0029] S501. Use multi-channel services: Provide multiple channels to ensure that users can quickly contact customer service at any time and any place, including telephone, online chat, and social media;

[0030] S502. Set up an instant response system: Set up an intelligent customer service robot and cooperate with the manual customer service team to ensure that problems and needs are responded to and processed immediately;

[0031] S503. Provide emergency response services: Establish emergency response procedures, including medical assistance and legal consulting services, to ensure user safety;

[0032] S504. Provide travel tips: share travel tips, including luggage packing, efficient customs clearance, avoiding travel traps, and provide travel safety guidance, including guidance and sharing on personal safety, property safety, and health safety.

[0033] Preferably, the queried and updated tourism information provided by S6 includes dynamic weather forecasts, traffic condition reports and real-time destination information, and adjusts the itinerary plan according to the corresponding tourism information, including changing attractions, adjusting the order of tours, and providing multiple alternatives when encountering force majeure factors to ensure the continuity of the travel experience.

[0034] Preferably, the dynamic weather forecast: accesses an authoritative meteorological platform to push weather information of the destination in real time to assist users in adjusting and preparing corresponding equipment;

[0035] The traffic condition report: using traffic data and real-time traffic conditions to plan the best travel route for users to avoid congestion or unexpected traffic conditions;

[0036] The said real-time destination information: updates on attraction opening hours, special events, and temporary closure notices to ensure the accuracy and timeliness of travel plans.

[0037] In summary, the technical effects and advantages of the present invention are as follows:

[0038] This personalized travel route recommendation method not only collects static personal information and travel preferences, but also captures users' search, interaction and location data in real time to ensure that the recommended content is highly consistent with user needs. Through historical behavior analysis, it accurately grasps users' travel habits and preferences, such as cultural exploration, natural scenery and other type preferences, to achieve deep personalization, thereby enabling accurate personalized demand analysis;

[0039] This personalized travel route recommendation method uses semantic data models such as the Resource Description Framework (RDF) to build a comprehensive tourism knowledge graph, achieve structured description of tourism resources and interconnection of information networks, improve the accuracy and intelligence of recommendations, and dynamically adjust the recommendation scheme based on real-time user feedback and behavior patterns to ensure that the recommended content is always the latest and most relevant, thereby achieving intelligent and structured recommendations for travel routes.

[0040] This personalized travel route recommendation method ensures the comfort and convenience of the travel experience by selecting high-quality accommodation and transportation service providers, and provides personalized accommodation and transportation solutions based on user preferences and itinerary planning, taking into account multi-dimensional needs such as location, price, and facilities, so as to provide high-quality service guarantees;

[0041] This personalized travel route recommendation method ensures that user problems are solved immediately by providing multi-channel support such as telephone, online chat, and social media, and provides services such as medical and legal assistance to enhance travel safety and ensure 24-hour customer service.

[0042] Compared with the recommendation method that relies on historical similar user behaviors, this personalized travel route recommendation method ensures that the recommended route not only meets personalized needs but also considers economic costs through precise demand matching and dynamic cost considerations, making the route recommendation more attractive and acceptable.

[0043] In summary, this personalized travel route recommendation method significantly improves the accuracy of recommendations, user experience, and cost-effectiveness through deep data mining, intelligent knowledge graphs, high-quality service networks, 24 / 7 support, and real-time information updates. Compared with existing recommendation methods, it can better meet the personalized needs of tourists. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A step diagram of the personalized travel route recommendation method of the present invention;

[0045] Figure 2 It is a structural diagram of data information;

[0046] Figure 3 It is a schematic diagram of the knowledge spectrum graph;

[0047] Figure 4 A schematic diagram of the structure of accommodation and transportation options;

[0048] Figure 5 This is a schematic block diagram of the structure of the 24 / 7 customer support solution.

[0049] Figure 6 This is the structural diagram of tourism information. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present invention will be described clearly and completely 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, rather than all the embodiments.

[0051] Reference Figure 1 , a personalized travel route recommendation method, comprising the following steps:

[0052] Step 1: Data collection and analysis: Establish a travel route recommendation platform, collect user data information, and analyze user personalized needs based on the data information.

[0053] Among them, with Figure 2 As shown, the collected data information includes the user's personal information, travel preferences, historical behavior and real-time behavior data, and the personal information includes age, gender, and occupation, which is used to understand the user's basic background and possible points of interest; travel preferences include understanding the user's preferred travel experience types, and the travel experience types include cultural exploration, natural scenery, city sightseeing, and adventure activities; historical behavior data includes summarizing the user's travel habits and preferences by analyzing the user's past travel records, search and booking history, evaluations, and feedback; real-time behavior data includes the user's real-time location, search behavior, and interaction with the recommendation platform system, which is used to adjust the recommendation strategy in real time.

[0054] Step 2: Knowledge graph construction: Use semantic data models such as the Resource Description Framework (RDF) to construct a tourism knowledge graph, structure the description of tourism resources such as attractions, hotels, restaurants, and transportation resources, and form an interconnected information network.

[0055] Among them, Figure 3 As shown, the tourism knowledge graph describes entities in the tourism field and their relationships in the form of nodes and edges, and forms an interconnected information network structure through the entities and their relationships to achieve intelligent recommendation and search functions, and the entities in the tourism field include attractions, hotels, and restaurants.

[0056] Step 3: Personalized itinerary planning: Establish a travel route recommendation platform. The platform system recommends personalized travel routes and activities to users by combining the user's personalized needs and tourism knowledge graph, and the system can adjust the recommendation plan based on the user's real-time feedback and behavior patterns.

[0057] At the same time, the travel route recommendation platform will provide a corresponding travel team for each user. The travel team will communicate with the user to understand the user's interests, needs and budget, and further tailor travel plans for the user based on the user's personalized routes and activities recommended by the platform system.

[0058] Step 4: Provide high-quality accommodation and transportation options: Cooperate with well-known hotels, resorts and transportation service companies, and provide accommodation options and transportation based on personalized itineraries recommended to users.

[0059] Specifically include:

[0060] 1. Build a partner network: Establish partnerships with a range of high-quality accommodation and transportation service providers. When working with them, focus on selecting suppliers with high service quality, good user reviews, and the ability to provide personalized services.

[0061] 2. Based on the information provided by the user in the data collection and analysis steps, corresponding to their preferences and needs for accommodation and transportation, and according to the itinerary planning and user preferences, provide a combination of multiple modes of transportation, including factors such as travel time, cost, and comfort, to configure cross-services such as flights, trains, car rentals, and chartered vehicles, so as to tailor transportation plans for users;

[0062] 3. Dynamic matching and recommendation: Based on user preferences, we recommend matching accommodation options, and ensure that the recommended accommodation meets the user's personalized needs by considering multiple dimensions such as location, price, facilities, and services;

[0063] 4. Real-time adjustment and optimization: During the trip, the system monitors user needs and external environmental changes (such as weather and traffic conditions) in real time, and adjusts accommodation and transportation plans as needed. For example, when encountering bad weather, the system recommends safer transportation methods and provides alternative accommodation plans for users to choose from;

[0064] 5. User feedback loop: Collect user feedback on accommodation and transportation services, continuously adjust cooperation strategies and recommendation algorithms to ensure that the services provided always meet user expectations and continuously improve service quality.

[0065] Step 5. Provide customer service and support: Provide users with round-the-clock customer service and support through the travel route recommendation platform to help users deal with itinerary changes, special needs and other issues to ensure the comfort and convenience of users during their trip.

[0066] In this embodiment, the 24 / 7 customer support solution adopted specifically includes:

[0067] 1. Adopt multi-channel service: Provide multiple channels to ensure that users can quickly contact customer service at any time and any place, including telephone, online chat, and social media;

[0068] 2. Set up an instant response system: Set up an intelligent customer service robot and cooperate with the manual customer service team to ensure that problems and needs are responded to and handled immediately;

[0069] 3. Provide emergency response services: Establish emergency response procedures, including medical assistance and legal consulting services, to ensure user safety;

[0070] 4. Provide travel tips: share travel tips, including luggage packing, efficient customs clearance, avoiding travel traps, and provide travel safety guidance, including guidance and sharing on personal safety, property safety, and health safety.

[0071] Step 6. Real-time query and update: During the travel process, the travel route recommendation platform can also respond to the user's query request in real time, provide the latest travel information and suggestions, and ensure the smooth progress of the travel. Among them, the query and update of travel information provided includes dynamic weather forecasts, traffic condition reports, and real-time information of the destination, and adjust the itinerary plan according to the corresponding travel information, including changing attractions, adjusting the order of tours, and providing multiple alternatives in case of force majeure (such as weather and traffic interruptions) to ensure the continuity of the travel experience.

[0072] At the same time, in the above:

[0073] Dynamic weather forecast: access to authoritative meteorological platforms, real-time push of destination weather information to assist users in adjusting and preparing corresponding equipment;

[0074] Traffic status report: using traffic data and real-time traffic conditions to plan the best travel route for users to avoid congestion or unexpected traffic conditions;

[0075] Real-time destination information includes: updated attraction opening hours, special events, and temporary closure notices to ensure the accuracy and timeliness of your itinerary plans.

[0076] In summary, through deep data mining, intelligent knowledge graphs, high-quality service networks, 24-hour support and real-time information updates, the accuracy of recommendations, user experience and cost-effectiveness have been significantly improved, which can better meet the personalized needs of tourists compared to existing recommendation methods.

[0077] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A personalized travel route recommendation method, characterized in that: The following steps are involved: S1. Data collection and analysis: Establish a travel route recommendation platform, collect user data information, and analyze user personalized needs based on the data information; S2. Knowledge graph construction: construct a tourism knowledge graph through a semantic data model, describe tourism resources in a structured manner, and form an interconnected information network; S3. Personalized itinerary planning: Establish a travel route recommendation platform. The platform system recommends personalized travel routes and activities to users by combining users' personalized needs and travel knowledge graphs, and the system adjusts the recommendation plan based on real-time feedback and behavior patterns of users; S4. Provide high-quality accommodation and transportation options: By cooperating with hotels, resorts and transportation service companies, we provide accommodation options and transportation options based on personalized itineraries recommended to users; S5. Provide customer service and support: Provide users with 24 / 7 customer service and support through the travel route recommendation platform, and assist users in dealing with itinerary changes and special needs; S6. Real-time query and update: During the travel process, the travel route recommendation platform responds to the user's query request in real time, provides the latest travel information and suggestions, and ensures the smooth progress of the trip.

2. A personalized travel route recommendation method according to claim 1, characterized in that: In S1, the collected data information includes the user's personal information, travel preferences, historical behavior and real-time behavior data.

3. A personalized travel route recommendation method according to claim 2, characterized in that: The personal information: including age, gender, occupation, used to understand the user's basic background and interests; The travel preference: understanding the type of travel experience preferred by the user, wherein the type of travel experience includes cultural exploration, natural scenery, city sightseeing, and adventure activities; The historical behavior data: summarizes the user's travel habits and preferences by analyzing the user's past travel records, search and booking history, evaluations and feedback; The real-time behavior data includes the user's real-time location, search behavior, and interaction with the recommendation platform system, and is used to adjust the recommendation strategy in real time.

4. A personalized travel route recommendation method according to claim 1, characterized in that: The semantic data model in S2 includes a resource description framework (RDF), and the tourism resources include attractions, hotels, restaurants and transportation resources.

5. A personalized travel route recommendation method according to claim 4, characterized in that: The tourism knowledge graph in S2 describes entities in the tourism field and their relationships in the form of nodes and edges, and forms an interconnected information network structure through entities and their relationships to achieve intelligent recommendation and search functions, and the entities in the tourism field include attractions, hotels, and restaurants.

6. A personalized travel route recommendation method according to claim 1, characterized in that: In S3, the travel route recommendation platform provides a corresponding travel team for each user. The travel team communicates with the user to understand the user's interests, needs and budget, and further customizes a travel plan for the user based on the user's personalized routes and activities recommended by the platform system.

7. A personalized travel route recommendation method according to claim 1, characterized in that: The specific construction steps in S4 include: S401. Establish a partner network: Establish cooperative relationships with accommodation and transportation service providers, and when cooperating, re-screen suppliers with high service quality, good user reviews and the ability to provide personalized services; S402, based on the user's information in the data collection and analysis step S1, corresponding to the user's preferences and needs for accommodation and transportation, and according to the itinerary planning and user preferences, provide a combination of multiple transportation modes; S403, dynamic matching and recommendation: based on user preferences, recommending matching accommodation options, taking into account multiple dimensions, including location, price, facilities, and services; S404, real-time adjustment and optimization: During the travel process, real-time monitoring of user needs and external environment changes, and adjustment of accommodation and transportation plans as needed; S405, User Feedback Loop: Collect user feedback on accommodation and transportation services, continuously adjust cooperation strategies and recommendation algorithms, ensure that the services provided meet user expectations, and continuously improve service quality.

8. A personalized travel route recommendation method according to claim 1, characterized in that: The S5 adopts a 24 / 7 customer support solution, which specifically includes: S501. Use multi-channel services: Provide multiple channels to ensure that users can contact customer service in real time, including telephone, online chat, and social media; S502. Set up an instant response system: set up an intelligent customer service robot and cooperate with the manual customer service team to respond to and handle user issues and needs in real time; S503. Provide emergency response services: Establish emergency response procedures, including medical assistance and legal consulting services; S504. Provide travel tips: share travel tips, including luggage packing, efficient customs clearance, avoiding travel traps, and provide travel safety guidance, including guidance and sharing on personal safety, property safety, and health safety.

9. A personalized travel route recommendation method according to claim 1, characterized in that: The queried and updated travel information provided by S6 includes dynamic weather forecasts, traffic condition reports and real-time destination information, and adjusts the itinerary plan according to the corresponding travel information. When encountering force majeure factors, it provides multiple alternatives to ensure the continuity of the travel experience.

10. A personalized travel route recommendation method according to claim 9, characterized in that: The dynamic weather forecast: access to the authoritative meteorological platform to push the destination weather information in real time; The traffic condition report: using traffic data and real-time road conditions to plan travel routes for users; Real-time information about the destination: updated attraction opening hours, special events, and temporary closure notices.

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