Cross-domain tourism real estate interaction method

Abstract

The invention relates to the technical field of sharing, and particularly discloses a cross-domain tourism real estate interaction method, which comprises the following steps: S1, identity authentication; s2, acquiring mode selection information of a user, if the mode selection information is real estate release, skipping to a step S3, and if the mode selection information is travel check-in, skipping to a step S5; s3, real estate registration; s4, releasing the corresponding real estate; s5, searching the corresponding published real estate according to the query condition; s6, receiving check-in request information of the user, performing check-in auditing, if the check-in auditing is passed, generating a check-in protocol, obtaining the check-in protocol after the user signs a contract, deducting credits required for check-in, generating a deposit payment link, and sending check-in information to the user after successful payment of the user is verified; s7, after the user checks in, issuing a point reward for providing the real estate to the publisher of the real estate in which the user checks in; and S8, check-out registration. By adopting the technical scheme of the invention, the utilization rate of idle tourism real estate can be improved, the tourism cost can be reduced, and the benign development of tourism economy is promoted.

Description

Technical Field

[0001] The present invention relates to the field of sharing technology, and in particular to a cross-domain tourism real estate interaction method. Background Art

[0002] At present, many families have purchased tourism real estate in tourist attractions or tourist cities, with the original intention of using it for their own summer vacation, vacation or retirement. However, due to climate reasons, work time restrictions or other factors, the actual utilization rate of these tourism real estate is generally not high, resulting in a large number of tourism real estate being idle. This not only causes a waste of real estate resources, but also increases the user's additional economic burden such as property management fees; on the other hand, no one wants to live in one place all the time, and more people are willing to change places every year or periodically to travel, live, relax, retire, etc.

[0003] Although traditional leasing and selling methods can solve the idleness problem to a certain extent, the operation is complicated and the cost is high. In addition, many families want to travel to other places for vacation while owning their own tourism real estate, but this is often difficult to achieve due to the high cost of accommodation.

[0004] Therefore, there is an urgent need for a cross-domain tourism real estate interaction method that can both improve the utilization rate of idle tourism real estate and reduce tourism costs. Summary of the invention

[0005] The present invention provides a cross-domain tourism real estate interaction method, which can improve the utilization rate of idle tourism real estate and reduce tourism costs.

[0006] In order to solve the above technical problems, this application provides the following technical solutions:

[0007] A cross-domain tourism real estate interaction method comprises the following steps:

[0008] S1. Identity authentication: record the user's registered account and complete the login after verifying the user's registered account;

[0009] S2, mode selection: obtain the user's mode selection information, if it is a real estate release, jump to step S3, if it is a tourist stay, jump to step S5;

[0010] S3, real estate registration: receiving the user's real estate resource registration information, which includes basic real estate information and property rights information;

[0011] Verify the user's real estate resource registration information and mark the verified real estate resources as valid real estate resources;

[0012] S4, information release: take the user's effective real estate resources as the real estate to be released, obtain the user's release selection information, and release the corresponding real estate according to the release selection information;

[0013] S5. Real estate query: receiving the user's query conditions, searching for corresponding published real estate according to the query conditions, and displaying them;

[0014] S6. Check-in application: Receive the user's check-in request information, conduct check-in review, generate a check-in agreement if the check-in review is passed, obtain the check-in agreement signed by the user, deduct the points required for check-in, generate a deposit payment link, verify that the user's payment is successful, lock the corresponding property, and send the check-in information to the user;

[0015] S7, check-in registration: receiving the user's check-in confirmation information and recording the user's check-in time;

[0016] After the user checks in, the publisher of the property where the user checks in will be awarded points for providing the property;

[0017] S8. Check-out registration: Receive the user's check-out request, generate a check-out acceptance work order, obtain the check-out acceptance result, and if the acceptance result is passed, generate a deposit refund request.

[0018] Furthermore, it also includes: S9, occupancy evaluation: receiving the user's usage evaluation, and associating the usage evaluation with the corresponding real estate.

[0019] Furthermore, in step S9, user complaints are received, a processing work order is generated based on the complaints, and the processing results are obtained and pushed to the user.

[0020] Furthermore, in S1, the basic information of the user is also entered to perform real-name authentication on the user; after the real-name authentication is completed, the user is awarded points for the real-name authentication;

[0021] In S2, if the mode selection information is point redemption, jump to step S10;

[0022] In S4, the point reward issued by the real estate is sent to the user;

[0023] In S8, if the acceptance result is passed, the user will also be awarded points for normal check-out;

[0024] S10, points redemption: display the user's current total points and the historical record of points usage;

[0025] It also displays the preset exchangeable goods or services and the corresponding consumption points value; receives the user's exchange request, issues the selected goods or services to the user, and deducts the corresponding points.

[0026] Furthermore, in S6, the review content includes whether the user's points balance is sufficient to pay the points required for check-in, whether the user has completed real-name authentication, whether the user has published real estate information, and whether the real estate publisher agrees; if the user's points balance is sufficient to pay the points required for check-in, the user has completed real-name authentication, has published real estate information, and the real estate publisher agrees to check-in, the check-in review is passed.

[0027] Furthermore, in S6, the specific process of generating the check-in agreement includes:

[0028] Obtain basic information of both parties, basic information of the property, check-in time period, and preset agreement template;

[0029] Fill in the blanks in the agreement template according to the basic information of both parties, the basic information of the property, and the occupancy period to generate an occupancy agreement.

[0030] Furthermore, it also includes:

[0031] S11. Guide acquisition: obtaining travel guides uploaded by staying users and binding the travel guides with the properties they stay in;

[0032] In S9, it also receives evaluation information of travel guides;

[0033] In S5, the published real estate is displayed together with its bound travel guide and the evaluation information of the travel guide.

[0034] Furthermore, it also includes:

[0035] S12, strategy classification: based on the travel strategies and the evaluation information corresponding to the travel strategies, classification is performed, and the classification includes popular strategies, unpopular strategies and other strategies; the popular strategies and unpopular strategies are stored in a pre-built strategy database;

[0036] When classifying, determine whether there is negative information in the evaluation corresponding to the travel guide. If there is negative information, classify it as other guides;

[0037] If there is no negative information, determine whether the number of reviews exceeds a preset number. If so, classify it as a popular guide;

[0038] If the number of evaluations does not exceed a preset number, the current travel guide is compared with the travel guides in the guide database and the travel guides on the preset website for similarity. If the similarity exceeds a first similarity threshold, the current travel guide is determined to be a popular guide.

[0039] Further, in said S2, if the mode selection information is strategy browsing, jump to step S13;

[0040] S13, strategy browsing: receiving the user's project selection information, including query and browsing;

[0041] If the item is selected as a query, obtain the travel guide uploaded by the user, match the travel guide uploaded by the user with the travel guide in the guide database, and determine whether there is a travel guide in the guide database with a similarity exceeding a second similarity threshold. If so, display the corresponding travel guide in the guide database and the real estate bound to the travel guide; wherein the second similarity threshold is greater than the first similarity threshold;

[0042] If the item selected is browsing, the user's travel destination is obtained, and the popular and unpopular strategies corresponding to the travel destination are obtained from the strategy database according to the travel destination and displayed in categories.

[0043] Further, the method further includes step S14, data analysis: collecting data from steps S1 to S13, and classifying the data into user data, real estate data, transaction data, and points data;

[0044] Establish a classification database to store classified data, the classification database includes: user database, real estate database, transaction database and points database;

[0045] Clean all types of collected data, including removing duplicate data, correcting erroneous data, and processing missing data;

[0046] Create a big data engine, perform big data analysis on various types of cleaned data, and generate data reports based on the results of data analysis and mining. The report content includes user behavior analysis report, market trend forecast report, regional real estate demand report, and points usage trend report.

[0047] This solution ensures the authenticity of the user's identity and the security of the platform through strict identity authentication and real-name authentication processes. Users can record and verify their real estate information in detail to ensure that every real estate resource registered on the platform is legal and valid. Users can quickly locate real estate resources that meet their needs by setting query conditions, which improves the user experience and query convenience.

[0048] The safety of each check-in is ensured through the check-in application review process, including checking the user's points balance, real-name authentication status, and the consent of the real estate publisher.

[0049] After the user checks in, points are awarded to the property publisher to encourage users to actively publish property resources. Points are awarded to users who check out normally to encourage users to abide by the platform rules. The points redemption function enables users to obtain free accommodation, goods or services by accumulating points, which increases user stickiness and participation.

[0050] In summary, this solution not only improves the utilization rate of idle tourism real estate nationwide and increases the economic value of tourism real estate, but also provides users with a convenient and safe tourism real estate exchange platform. Especially for retirees and the elderly, this platform not only reduces their travel costs, but also enriches their life experience and promotes the realization of migratory elderly care. This innovative model can effectively drive the development of the local economy and has significant social and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a flow chart of a first embodiment of a cross-domain tourism real estate interaction method;

[0052] Figure 2 This is a flow chart of step S14 of embodiment 3 of a cross-domain tourism real estate interaction method. DETAILED DESCRIPTION

[0053] The following is further described in detail through specific implementation methods:

[0054] The symbols in the drawings of the specification include:

[0055] Embodiment 1

[0056] like Figure 1 As shown, a cross-domain tourism real estate interaction method of this embodiment includes the following steps:

[0057] S1. Identity authentication: record the user's registered account, verify the user's registered account and complete the login; enter the user's basic information and perform real-name authentication for the user; after completing the real-name authentication, issue real-name authentication points to the user; basic information includes name, gender, ID number, contact information (such as mobile phone number), etc.

[0058] S2. Mode selection: Get the user's mode selection information. If it is a real estate release, jump to step S3. If it is a tourist stay, jump to step S5. If it is a points redemption, jump to step S10. Real estate in this article refers to tourist attraction real estate, tourist commercial real estate, tourist resort real estate and tourist residential real estate legally owned by citizens, and real estate used by citizens for self-residence but idle (including but not limited to commercial housing, rural self-occupied housing, hotels, homestays, etc.).

[0059] S3. Real estate registration: Receive the user's real estate resource registration information, which includes basic real estate information and property information; basic real estate information includes address, apartment type, area, attributes (such as commercial housing, rural self-occupied housing, etc.), configuration (such as home appliances, furniture, etc.), idle time, real estate photos, etc.; property information includes property certificate or related materials that can be used by others;

[0060] Verify the user's real estate resource registration information, mark the real estate resources that have passed the verification as valid real estate resources, and generate supplementary information reminders for the real estate resources that have not passed the verification;

[0061] S4, information release: take the user's effective real estate resources as the real estate to be released, obtain the user's release selection information, and release the corresponding real estate according to the release selection information; send the user a point reward for real estate release;

[0062] S5, real estate query: receiving the user's query conditions, searching for corresponding published real estate according to the query conditions, and displaying them; the query conditions include destination and travel time, etc.;

[0063] S6. Check-in application: Receive the user's check-in request information, conduct check-in review, generate a check-in agreement if the check-in review is passed, obtain the check-in agreement signed by the user, deduct the points required for check-in, generate a security deposit payment link, verify that the user's payment is successful, lock the corresponding property, and send the user check-in information; the check-in information includes the room number, password lock password, etc. The check-in request includes the property to be checked in, the check-in time period, and the check-in personnel information.

[0064] If the check-in review fails, the reason for failure will be displayed;

[0065] The review content includes whether the user's points balance is sufficient to pay the points required for check-in, whether the user has completed real-name authentication, whether the user has published real estate information, and whether the real estate publisher agrees; if the user's points balance is sufficient to pay the points required for check-in, the user has completed real-name authentication, has published real estate information, and the real estate publisher agrees to check-in, the check-in review is passed; if the user's points balance is not enough to pay the points required for check-in, but the user is willing to register for check-in at the reference market price provided by the platform, the user has completed real-name authentication, and the real estate publisher agrees to the applicant's check-in, the check-in review is passed.

[0066] The specific process of generating an accommodation agreement includes:

[0067] Obtain basic information of the user, basic information of the property, check-in time period, and preset agreement template;

[0068] Fill in the blanks in the agreement template according to the basic information of the check-in user, the basic information of the check-in property, and the check-in time period to generate a check-in agreement;

[0069] The check-in agreement includes the name, ID card, property address, room number, area, configuration (whether it is elderly-friendly), and check-in start and end times of the occupant (tenant) and the publisher (landlord), as well as the points required for check-in (or the unit price for check-in), deposit amount, and liability clauses, such as clarifying the responsibilities of both parties during the check-in period, handling of breach of contract, and conditions for returning the deposit.

[0070] S7, check-in registration: receiving the user's check-in confirmation information and recording the user's check-in time;

[0071] Receive and store the user's house inspection information, which is the house status information recorded by the user when checking in. The house inspection information can be a video or a picture. After the user checks in, the publisher of the property where the user is staying (i.e., the user who published the property) will be awarded points for providing the property.

[0072] S8. Check-out registration: Receive the user's check-out request, generate a check-out acceptance work order, obtain the check-out acceptance result, and if the acceptance result is passed, generate a deposit refund request and issue a normal check-out points reward to the user;

[0073] S9, check-in evaluation: receiving the user's evaluation and associating the evaluation with the corresponding property. The content of the evaluation includes a rating and a text evaluation.

[0074] It also receives user complaints, generates processing work orders based on the complaints, obtains processing results and pushes them to users;

[0075] For example, if a user complains that the configuration of the house does not match the agreement, a work order will be generated and the staff will handle it accordingly, such as rejecting the complaint, removing the corresponding property from the shelves, returning the points deducted from the user's stay, etc.

[0076] S10, points redemption: display the user's current total points and the historical record of points usage, and also display the preset redemption goods or services, and the corresponding consumption points value; receive the user's redemption request, issue the selected goods or services to the user, and deduct the corresponding points.

[0077] The solution of this embodiment has the following advantages:

[0078] Improve the utilization rate of idle tourism real estate: Through identity authentication, real estate registration, information release and other steps, users can register idle tourism real estate on the platform and display it to the public, effectively improving the utilization rate of idle tourism real estate across the country and increasing the economic value of tourism real estate.

[0079] High security: Strict identity authentication and real-name authentication processes ensure the authenticity of user identities, and detailed real estate resource registration and verification ensure the legitimacy and validity of real estate resources. The review of the application for admission is comprehensive to ensure safe and transparent admission.

[0080] Low travel costs: Users can take advantage of the points system to earn points by publishing idle properties, and then use these points to obtain the right to use tourist properties in other cities for free, effectively reducing travel costs, especially for retirees and the elderly, reducing their financial burden and increasing their enthusiasm for travel.

[0081] Increase platform revenue: You can collect notarization fees for real estate used by others to provide relevant certification materials, interest and capital pool benefits from deposits stored in the platform's reservoir, and cooperate with tourist attractions in various places to collect commissions, etc.

[0082] Promote local economic development: By increasing the utilization rate of idle tourism real estate, it drives the economic and resource development of tourist destinations, improves the tourism popularity of tourist cities, and promotes the development of the local economy.

[0083] In summary, the embodiment of the method not only improves the utilization rate of idle tourism real estate across the country and increases the economic value of tourism real estate through detailed processes and multiple security measures, but also provides users with a convenient and safe tourism real estate exchange platform, effectively promotes the development of the local economy, and has significant social and economic benefits.

[0084] Embodiment 2

[0085] The difference between this embodiment and the first embodiment is that the method in this embodiment further includes:

[0086] S11. Guide acquisition: obtaining travel guides uploaded by staying users and binding the travel guides with the properties they stay in;

[0087] In S9, it also receives evaluation information of travel guides;

[0088] In S5, the published properties are displayed together with the travel guides bound to them and the evaluation information of the travel guides;

[0089] While browsing real estate, users can also browse travel guides of users who have previously rented the property, and use them as a reference for their next travel plans. For example, if a certain property has convenient transportation to a certain scenic spot, the bound travel guide will include the scenic spot. If the user also plans to visit the scenic spot, he or she can consider staying at the property.

[0090] Embodiment 3

[0091] The difference between this embodiment and the second embodiment is that the method of this embodiment further includes:

[0092] S12. Strategy classification: Based on the travel strategies and the evaluation information corresponding to the travel strategies, the travel strategies are classified into popular strategies, unpopular strategies and other strategies; the popular strategies and unpopular strategies are stored in a pre-built strategy database.

[0093] Specifically, when classifying, it is determined whether there is negative information in the evaluation corresponding to the travel guide (negative information such as the scenic spots in the guide are closed, advertising diversion, pictures do not match the actual situation, etc.). If there is negative information, it is classified as other guides;

[0094] If there is no negative information, determine whether the number of reviews exceeds a preset number. If so, classify it as a popular guide; the preset number is, for example, 50.

[0095] If the number of evaluations does not exceed the preset number, the current travel guide is compared with the travel guides in the guide database and the travel guides on the preset website for similarity, and if the similarity exceeds a first similarity threshold (e.g., 80%), the current travel guide is determined to be a popular guide;

[0096] Specifically, when comparing similarities, a travel guide is captured from a preset website, the captured travel guide and the travel guide in the guide database are used as reference travel guides, and the reference travel guide is subjected to text preprocessing, including word segmentation, stop word removal, and duplicate removal;

[0097] Then perform text preprocessing on the current travel guide; use a preset text embedding model to convert all travel guides into vector representations, such as the open source Chinese BERT model (BERT-Base, Chinese);

[0098] The similarity between the current travel guide and each reference travel guide is calculated to determine whether the similarity exceeds 80%. If so, the current travel guide is determined to be a popular guide. In this embodiment, the similarity calculation method uses cosine similarity.

[0099] If the similarity is less than 80%, calculate the experience index of the user who published the current travel guide and determine whether the experience index is greater than the experience threshold. If it is greater, it is classified as an unpopular guide. If it is not greater than the experience threshold, it is classified as other guides. The formula for calculating the experience index EI is:

[0100] EI=(W1×S1)+(W2×S2)+(W3×S3)+(W4×S4)

[0101] Among them, S1 is the historical check-in times of the user who published the current travel guide, S2 is the check-in time of the property corresponding to the current travel guide, S3 is the quality score of the property photos published by the user who published the current travel guide, and the score range is 0 to 100; S4 is the score of the current travel guide copy, and the score range is 0 to 100, W1 is the weight of the historical check-in times, W2 is the weight of the check-in time, W3 is the weight of the property photo quality score, and W4 is the weight of the travel guide copy score. For example, W1, W2, W3 and W4 are 0.3, 0.2, 0.25 and 0.25 respectively.

[0102] The quality rating standards for published real estate photos are pre-created by the administrator, including photo clarity, photo composition (whether the photo is horizontal or vertical, etc.), and the current travel guide copy rating standards are pre-created by the administrator, including content completeness and copy readability. In this embodiment, the published real estate photos and the current travel guide copy are rated according to the rating standards through the multimodal large model.

[0103] In step S2, if the mode selection information is strategy browsing, jump to step S13;

[0104] S13, strategy browsing: receiving the user's project selection information, including query and browsing;

[0105] If the item is selected as a query, obtain the travel guide uploaded by the user, match the travel guide uploaded by the user with the travel guide in the guide database, and determine whether there is a travel guide in the guide database with a similarity exceeding a second similarity threshold (for example, 90%). If so, display the corresponding travel guide in the guide database and the real estate bound to the travel guide; wherein the second similarity threshold is greater than the first similarity threshold to improve the matching degree.

[0106] If the item is selected as browsing, the user's travel destination is obtained, and the popular guides and unpopular guides corresponding to the travel destination are obtained from the guide database according to the travel destination and displayed in categories. Specifically, the popular guides and the bound real estate are displayed under the popular options, and the unpopular guides and the bound real estate are displayed under the unpopular options.

[0107] In addition to the traditional direct browsing of real estate options, users can also upload their own travel guides. The system will match the uploaded travel guides with the travel guides in the guide database. If the match is successful, the corresponding travel guide in the guide database and the real estate bound to the travel guide will be displayed. In this way, users can refer to the real estate stayed by users whose travel guides are similar to theirs, helping users find the real estate that best suits their current travel plans and enhance their travel experience.

[0108] For a certain tourist destination, popular attractions are usually fixed, and most of the tourist guides made by users usually include most of the tourist attractions, resulting in a relatively high similarity of popular tourist guides. If matching is performed through popular tourist guides, real estate near popular attractions will be more popular, while real estate far away from popular attractions will have few users staying. It is not conducive to the maximum utilization of idle real estate. In this embodiment, tourist guides are classified into popular guides, unpopular guides and other guides, and popular guides and unpopular guides are stored in a pre-built guide database for matching. Among them, the unpopular guide is screened from the historical check-in times of the user who publishes the current tourist guide (reflecting the number of user's travels, i.e., travel experience), the length of stay of the real estate corresponding to the current tourist guide (reflecting the length of time the user fully experiences the local area), the quality score of the real estate photos published by the user who publishes the current tourist guide (reflecting the user's aesthetic level and professionalism), and the current tourist guide copywriting score (reflecting the copywriting quality) to ensure the effectiveness of the unpopular guide. Through the unpopular tourist guide, more choices are provided for tourist users who want to stay away from the crowd, and unpopular real estate is revitalized at the same time. For users of unpopular properties, they can also write high-quality travel guides to recommend the property, thereby increasing the occupancy rate of the property, which is a win-win situation for both the provider and the occupants.

[0109] Embodiment 3

[0110] like Figure 2 As shown, the difference between this embodiment and the second embodiment is that it further includes S14, data analysis:

[0111] Collect and classify data from the above steps. In this embodiment, the data is classified into user data, real estate data, transaction data and points data;

[0112] User data includes, for example, user registration information, additional optional information (such as user travel information, physical health status information, vehicle demand information, and accompanying personnel information), login information, browsing history, query conditions, check-in information, check-out information, travel guide upload and browsing data; real estate data includes, for example, real estate registration information and release information; transaction data includes, for example, transaction information, and points data includes, for example, points change records.

[0113] Establishing a classification database to store classified data, such as a user database, a real estate database, a transaction database, and a points database;

[0114] Clean all types of collected data, including removing duplicate data, correcting erroneous data, processing missing data, etc.;

[0115] Create a big data engine to perform big data analysis on all types of cleaned data, and generate data reports based on the results of data analysis and mining. The report content includes user behavior analysis report, market trend forecast report, regional real estate demand report, points usage trend report, etc.

[0116] For example, by analyzing user data, mining user behavior patterns and preferences, generating user behavior portraits, predicting users' future behaviors and needs through user behavior portraits, and providing accurate car services, dining services, health care services, medical services, health care services, bathing assistance services, security services, etc. to users based on their future behaviors and needs.

[0117] For example, based on real estate data and transaction data, we analyze the demand changes and market trends of various types of real estate to obtain a tourist destination map. The tourist destination map can reflect the development trend information of popular and unpopular real estate, so as to accurately grasp the changes in demand in the tourism market.

[0118] The above are only embodiments of the present invention. The invention is not limited to the fields involved in this implementation case. The common sense such as the known specific structures and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or the priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to explain the content of the claims.

Claims

1. A cross-domain tourism real estate interaction method, characterized in that: The steps include: S1. Identity authentication: record the user's registered account and complete the login after verifying the user's registered account; S2, mode selection: obtain the user's mode selection information, if it is a real estate release, jump to step S3, if it is a tourist stay, jump to step S5; S3, real estate registration: receiving the user's real estate resource registration information, which includes basic real estate information and property rights information; Verify the user's real estate resource registration information and mark the verified real estate resources as valid real estate resources; S4, information release: take the user's effective real estate resources as the real estate to be released, obtain the user's release selection information, and release the corresponding real estate according to the release selection information; S5. Real estate query: receiving the user's query conditions, searching for corresponding published real estate according to the query conditions, and displaying them; S6. Check-in application: Receive the user's check-in request information, conduct check-in review, generate a check-in agreement if the check-in review is passed, obtain the check-in agreement signed by the user, deduct the points required for check-in, generate a deposit payment link, verify that the user's payment is successful, lock the corresponding property, and send the check-in information to the user; S7, check-in registration: receiving the user's check-in confirmation information and recording the user's check-in time; After the user checks in, the publisher of the property where the user checks in will be awarded points for providing the property; S8. Check-out registration: Receive the user's check-out request, generate a check-out acceptance work order, obtain the check-out acceptance result, and if the acceptance result is passed, generate a deposit refund request.

2. The cross-domain tourism real estate interaction method according to claim 1 is characterized by: Also includes: S9. Check-in evaluation: receiving the user's usage evaluation and associating the usage evaluation with the corresponding real estate.

3. The cross-domain tourism real estate interaction method according to claim 2 is characterized by: In the step S9, user complaints are also received, a processing work order is generated according to the complaints, and the processing results are obtained and pushed to the user.

4. The cross-domain tourism real estate interaction method according to claim 3 is characterized by: In S1, the basic information of the user is also entered to perform real-name authentication on the user; after the real-name authentication is completed, the user is awarded points for the real-name authentication; In S2, if the mode selection information is point redemption, jump to step S10; In S4, the point reward issued by the real estate is sent to the user; In S8, if the acceptance result is passed, the user will also be awarded points for normal check-out; S10, points redemption: display the user's current total points and the historical record of points usage; It also displays the preset exchangeable goods or services and the corresponding consumption points value; receives the user's exchange request, issues the selected goods or services to the user, and deducts the corresponding points.

5. The cross-domain tourism real estate interaction method according to claim 4 is characterized by: In S6, the review content includes whether the user's point balance is sufficient to pay the points required for check-in, whether the user has completed real-name authentication, whether the user has published real estate information, and whether the real estate publisher agrees to check-in; if the user's point balance is sufficient to pay the points required for check-in, the user has completed real-name authentication, has published real estate information, and the real estate publisher agrees to check-in, the check-in review is passed.

6. The cross-domain tourism real estate interaction method according to claim 5 is characterized by: In S6, the specific process of generating the check-in agreement includes: Obtain basic information of both parties, basic information of the property, check-in time period, and preset agreement template; Fill in the blanks in the agreement template according to the basic information of both parties, the basic information of the property, and the occupancy period to generate an occupancy agreement.

7. The cross-domain tourism real estate interaction method according to claim 6 is characterized by: Also includes: S11. Guide acquisition: obtaining travel guides uploaded by staying users and binding the travel guides with the properties they stay in; In S9, it also receives evaluation information of travel guides; In S5, the published real estate is displayed together with its bound travel guide and the evaluation information of the travel guide.

8. The cross-domain tourism real estate interaction method according to claim 7 is characterized by: Also includes: S12, strategy classification: based on the travel strategies and the evaluation information corresponding to the travel strategies, classification is performed, and the classification includes popular strategies, unpopular strategies and other strategies; the popular strategies and unpopular strategies are stored in a pre-built strategy database; When classifying, determine whether there is negative information in the evaluation corresponding to the travel guide. If there is negative information, classify it as other guides; If there is no negative information, determine whether the number of reviews exceeds a preset number. If so, classify it as a popular guide; If the number of evaluations does not exceed a preset number, the current travel guide is compared with the travel guides in the guide database and the travel guides on the preset website for similarity. If the similarity exceeds a first similarity threshold, the current travel guide is determined to be a popular guide.

9. The cross-domain tourism real estate interaction method according to claim 8, characterized in that: In said S2, if the mode selection information is strategy browsing, jump to step S13; S13, strategy browsing: receiving the user's project selection information, including query and browsing; If the item is selected as a query, obtain the travel guide uploaded by the user, match the travel guide uploaded by the user with the travel guide in the guide database, and determine whether there is a travel guide in the guide database with a similarity exceeding a second similarity threshold. If so, display the corresponding travel guide in the guide database and the real estate bound to the travel guide; wherein the second similarity threshold is greater than the first similarity threshold; If the item selected is browsing, the user's travel destination is obtained, and the popular and unpopular strategies corresponding to the travel destination are obtained from the strategy database according to the travel destination and displayed in categories.

10. The cross-domain tourism real estate interaction method according to claim 9, characterized in that: The step S14 is also included, data analysis: collecting data from steps S1 to S13, and classifying the data into user data, real estate data, transaction data and points data; Establish a classification database to store classified data, the classification database includes: user database, real estate database, transaction database and points database; Clean all types of collected data, including removing duplicate data, correcting erroneous data, and processing missing data; Create a big data engine to perform big data analysis on various types of cleaned data, and generate data reports based on the results of data analysis and mining. The report content includes user behavior analysis report, market trend forecast report, regional real estate demand report, and points usage trend report.

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