Personal time management and exhibition scheduling method based on AI

Abstract

The invention provides an AI-based personal time management and exhibition scheduling method. The method comprises the steps of obtaining a preset exhibition database and personal management data of a target user; the personal management data comprises professional direction information, preferred exhibition information, budget limitation information and personal time preference information; calculating to-be-selected schedule information of the target user according to the personal management data and the data of the exhibition database based on a scheduling engine; calculating a travel budget, an idle person index and a work manic index according to the schedule information to be selected; and sending the travel budget, the idle person index and the work manic index to a user side of the target user, so that the user performs auxiliary selection on the schedule information to be selected. According to the invention, the time management efficiency of the user can be improved, the balance between work and life can be promoted, and personalized and intelligent exhibition scheduling service is provided for the user.

Description

Technical Field

[0001] The present invention relates to the technical field of time management and scheduling, and in particular to an AI-based personal time management and exhibition scheduling method. Background Art

[0002] In modern society, personal time management and exhibition scheduling are becoming increasingly complex. Most existing time management tools rely on manual input and scheduling by users, which is not only time-consuming and labor-intensive, but also prone to conflicts and omissions. Exhibition scheduling is even more complex, as it requires consideration of the exhibition's time, location, theme, and matching with personal schedules. Existing exhibition scheduling tools usually lack intelligent processing capabilities and are difficult to meet user needs. Summary of the invention

[0003] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide an AI-based personal time management and exhibition scheduling method. By analyzing the user's professional direction and preferred exhibition information, the system can recommend exhibitions related to the user's career development and interests, thereby improving the effectiveness and satisfaction of participation.

[0004] To achieve the above object, the present invention provides the following solutions: An AI-based personal time management and exhibition scheduling method, including: Acquire a preset exhibition database and personal management data of the target user; the personal management data includes: professional direction information, preferred exhibition information, budget limit information and personal time preference information; Based on the scheduling engine, calculating the target user's selected schedule information according to the personal management data and the data of the exhibition database; Calculate the travel budget, idleness index and workaholic index according to the selected schedule information; The travel budget, the idleness index and the workaholic index are sent to a user terminal of a target user, so that the user can make an auxiliary selection of the to-be-selected schedule information.

[0005] Preferably, the selected schedule information includes: exhibition participation time, transportation information and accommodation arrangement information.

[0006] Preferably, the exhibition database includes: exhibition name, time, location, theme, exhibitors and ticket price.

[0007] Preferably, based on the scheduling engine, the target user's selected schedule information is calculated according to the personal management data and the data of the exhibition database, including: The exhibition matching score is calculated according to the personal management data; the calculation formula of the exhibition matching score is: ;in, Is a user About the exhibition The matching score of Is a user Professional direction; It is an exhibition Theme of Is a user Preferred exhibition information; It is an exhibition Detailed information; is the similarity function; and Both are weight parameters, used to adjust the influence of two similarities; Select multiple schedules to be selected according to the exhibition matching score; An optimization function and constraints of the optimization function are constructed with the goal of minimizing the total cost; the formula of the optimization function is: ;in, is the total cost, Is to participate in the exhibition Ticket costs, Is to participate in the exhibition transportation costs, Is to participate in the exhibition The ticket fee; the constraints include time constraints, budget constraints and time preference constraints; n is the number of exhibitions in the set of all exhibitions that the user may participate in; Based on the particle swarm algorithm, optimization calculation is performed according to the optimization function and constraint conditions to obtain the optimal parameters; The schedule to be selected is matched and screened according to the optimal parameters to obtain the schedule information to be selected.

[0008] Preferably, the calculation formula of the time constraint is: ;in, It is an exhibition time, is the user's available time; the calculation formula of the budget constraint is: ;in, is the user's budget constraint; the calculation formula for the time preference constraint is: ;in, is the user's preferred time. is the end time of the user.

[0009] Preferably, the travel budget The formula is: ; The idle index The calculation formula is: ; The workaholism index The calculation formula is: ;in, is the total time of the user, is the user's working hours, It is the user’s leisure time.

[0010] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: The present invention provides an AI-based personal time management and exhibition scheduling method, including: obtaining a preset exhibition database and personal management data of a target user; the personal management data includes: professional direction information, preferred exhibition information, budget limit information and personal time preference information; based on a scheduling engine, calculating the target user's selected schedule information according to the personal management data and the data of the exhibition database; calculating a travel budget, an idle index and a workaholic index according to the selected schedule information; sending the travel budget, the idle index and the workaholic index to a user terminal of the target user, so that the user can assist in selecting the selected schedule information. The present invention can not only improve the user's time management efficiency, but also promote the balance between work and life, and provide users with personalized and intelligent exhibition scheduling services. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. 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 paying creative labor.

[0012] Figure 1 A flowchart of steps provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0014] The purpose of the present invention is to provide an AI-based personal time management and exhibition scheduling method, which can not only improve the user's time management efficiency, but also promote the balance between work and life, and provide users with personalized and intelligent exhibition scheduling services.

[0015] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0016] Figure 1 A flowchart of the steps provided in the embodiment of the present invention is as follows: Figure 1 As shown, the present invention provides an AI-based personal time management and exhibition scheduling method, comprising: Step 100: Acquire a preset exhibition database and personal management data of the target user; the personal management data includes: professional direction information, preferred exhibition information, budget limit information and personal time preference information; Step 200: Based on the scheduling engine, the selected schedule information of the target user is calculated according to the personal management data and the data of the exhibition database; Step 300: Calculate the travel budget, idleness index and workaholic index according to the selected schedule information; Step 400: sending the travel budget, the idleness index and the workaholic index to a user terminal of a target user, so that the user can make an auxiliary selection of the to-be-selected schedule information.

[0017] Preferably, the selected schedule information includes: exhibition participation time, transportation information and accommodation arrangement information.

[0018] Specifically, the exhibition participation time includes: the exhibition start time, which is the specific start date and time of the exhibition; the exhibition end time, which is the specific end date and time of the exhibition; the exhibition schedule, which is the specific date and time period when the user plans to participate, including whether to attend the opening ceremony, seminar, etc.; the check-in time, which is the time when the user needs to arrive at the exhibition site to check in; the activity arrangement, which is the specific time and place of lectures, workshops, online exchanges, etc.

[0019] Optionally, the traffic information includes: departure location, which is the user's departure location (such as home, office, etc.); destination, which is the detailed address of the exhibition venue; transportation mode, which is the recommended transportation mode (such as self-driving, public transportation, taxi, shared bicycle, etc.); transportation route, which is the detailed route from the departure location to the destination, including major roads, transfer information, etc.; estimated departure time, which is the recommended departure time based on traffic conditions and exhibition check-in time; transportation cost, which is the cost estimate of different transportation modes.; transportation tool information, such as train and plane schedule, flight number, train number, etc.

[0020] Specifically, the accommodation arrangement information includes: accommodation location, which is the name and address of the recommended hotel or accommodation location; check-in time, which is the user's expected check-in date and time; check-out time, which is the user's expected check-out date and time; room type, which is the type of room booked (such as single room, double room, suite, etc.); accommodation fee, which is the estimated cost of accommodation, including taxes and other additional fees; booking status, which is the booking status of the accommodation (such as confirmed, pending confirmation, etc.); nearby facilities, which is information on nearby dining, shopping, entertainment and other facilities, so that users can arrange other activities.

[0021] Furthermore, the integration of this information can help users better plan their itinerary for the exhibition, ensuring smooth connections in terms of time, transportation, and accommodation, thereby improving the overall experience of the exhibition.

[0022] Preferably, the exhibition database includes: exhibition name, time, location, theme, exhibitors and ticket price.

[0023] Preferably, based on the scheduling engine, the target user's selected schedule information is calculated according to the personal management data and the data of the exhibition database, including: The exhibition matching score is calculated according to the personal management data; the calculation formula of the exhibition matching score is: ;in, Is a user About the exhibition The matching score of Is a user Professional direction; It is an exhibition Theme of Is a user Preferred exhibition information; It is an exhibition Detailed information; is the similarity function; and Both are weight parameters, used to adjust the influence of two similarities; Select multiple schedules to be selected according to the exhibition matching score; An optimization function and constraints of the optimization function are constructed with the goal of minimizing the total cost; the formula of the optimization function is: ;in, is the total cost, Is to participate in the exhibition Ticket costs, Is to participate in the exhibition transportation costs, Is to participate in the exhibition The ticket fee; the constraints include time constraints, budget constraints and time preference constraints; n is the number of exhibitions in the set of all exhibitions that the user may participate in; Based on the particle swarm algorithm, optimization calculation is performed according to the optimization function and constraint conditions to obtain the optimal parameters; The schedule to be selected is matched and screened according to the optimal parameters to obtain the schedule information to be selected.

[0024] Optionally, sim is a similarity function, and this embodiment may also use cosine similarity or Jaccard similarity for calculation.

[0025] Furthermore, the optimization steps of the particle swarm algorithm in this embodiment include: 1. Initialize the population: Generate an initial population, where each individual represents a possible schedule.

[0026] 2. Fitness function: calculate the fitness value of each individual.

[0027] 3. Selection: Select individuals with high fitness for reproduction.

[0028] 4. Crossover and mutation: Generate new individuals through crossover and mutation operations.

[0029] 5. Iteration: Repeat the selection, crossover and mutation operations until the fitness function converges.

[0030] 6. Matching screening: Screen the candidate schedules according to the optimal parameters to obtain the final candidate schedule information.

[0031] Through the above steps and methods, the system can optimize the selected schedule information based on the real-time acquired exhibition parameters such as the number of participants, travel budget, idleness index and workaholic index, and finally generate the optimal schedule information.

[0032] Preferably, the calculation formula of the time constraint is: ;in, It is an exhibition time, is the user's available time; the calculation formula of the budget constraint is: ;in, is the user's budget constraint; the calculation formula for the time preference constraint is: ;in, is the user's preferred time. is the end time of the user.

[0033] Preferably, the travel budget The formula is: ; The idle index The calculation formula is: ; The workaholism index The calculation formula is: ;in, is the total time of the user, is the user's working hours, It is the user’s leisure time.

[0034] The beneficial effects of the present invention are as follows: (1) By analyzing the user's professional orientation and preferred exhibition information, the system can recommend exhibitions related to the user's career development and interests, thereby improving the effectiveness and satisfaction of participation.

[0035] (2) The present invention utilizes a scheduling engine, and the system can automatically calculate and optimize the user's schedule, reducing the tediousness of the user's manual time adjustment and improving time utilization efficiency.

[0036] (3) The present invention ensures that the recommended exhibition combination does not exceed the budget based on the user's budget limit information, which helps the user to make reasonable financial planning.

[0037] (4) By calculating the idleness index and the workaholic index, the system of the present invention can help users better understand their own time allocation, promote work-life balance, and avoid overwork or excessive leisure.

[0038] (5) The present invention provides data-driven decision support by analyzing the exhibition database and user personal management data, helping users make more informed choices.

[0039] (6) The present invention sends information such as travel budget, idleness index and workaholic index to the user end, so that the user can understand his or her own choices more clearly, enhance the sense of participation and independent decision-making ability.

[0040] (7) The present invention can dynamically adjust recommended exhibitions and schedules based on real-time feedback from users and changing personal management data, maintaining flexibility and adaptability.

[0041] (8) The present invention integrates multi-dimensional information such as professional direction, preference, budget and time preference, and the system provides comprehensive exhibition recommendations to meet the diverse needs of users.

[0042] (9) Through precise scheduling and recommendation, the present invention enables users to participate in exhibitions more effectively, maximize opportunities to obtain information and establish connections, and thus improve the effect of exhibition participation.

[0043] (10) The present invention utilizes artificial intelligence technology, and the system can continuously learn and optimize recommendation algorithms, improve service quality and user experience, and promote innovation in personal time management and exhibition scheduling.

[0044] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0045] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. An AI-based personal time management and exhibition scheduling method, characterized in that: include: Obtain the preset exhibition database and personal management data of target users; The personal management data includes: professional direction information, preferred exhibition information, budget limit information and personal time preference information; Based on the scheduling engine, calculating the target user's selected schedule information according to the personal management data and the data of the exhibition database; Calculate the travel budget, idleness index and workaholic index according to the selected schedule information; The travel budget, the idleness index and the workaholic index are sent to a user terminal of a target user, so that the user can make an auxiliary selection of the to-be-selected schedule information.

2. The AI-based personal time management and exhibition scheduling method according to claim 1 is characterized in that: The selected schedule information includes: exhibition participation time, transportation information and accommodation arrangement information.

3. The AI-based personal time management and exhibition scheduling method according to claim 1 is characterized in that: The exhibition database includes: exhibition name, time, location, theme, exhibitors and ticket price.

4. The AI-based personal time management and exhibition scheduling method according to claim 3 is characterized in that: Based on the scheduling engine, the selected schedule information of the target user is calculated according to the personal management data and the data of the exhibition database, including: The exhibition matching score is calculated according to the personal management data; the calculation formula of the exhibition matching score is: ;in, Is a user About the exhibition The matching score of Is a user Professional direction; It is an exhibition Theme of Is a user Preferred exhibition information; It is an exhibition Detailed information; is the similarity function; and Both are weight parameters, used to adjust the influence of two similarities; Select multiple schedules to be selected according to the exhibition matching score; An optimization function and constraints of the optimization function are constructed with the goal of minimizing the total cost; the formula of the optimization function is: ;in, is the total cost, Is to participate in the exhibition Ticket costs, Is to participate in the exhibition transportation costs, Is to participate in the exhibition The ticket fee; the constraints include time constraints, budget constraints and time preference constraints; n is the number of exhibitions in the set of all exhibitions that the user may participate in; Based on the particle swarm algorithm, optimization calculation is performed according to the optimization function and constraint conditions to obtain the optimal parameters; The schedule to be selected is matched and screened according to the optimal parameters to obtain the schedule information to be selected.

5. The AI-based personal time management and exhibition scheduling method according to claim 4 is characterized in that: The calculation formula of the time constraint is: ;in, It is an exhibition time, is the user's available time; the calculation formula of the budget constraint is: ;in, is the user's budget constraint; the calculation formula for the time preference constraint is: ;in, is the user's preferred time. is the end time of the user.

6. The AI-based personal time management and exhibition scheduling method according to claim 5 is characterized in that: The travel budget The formula is: ; The idle index The calculation formula is: ; The workaholism index The calculation formula is: ;in, is the total time of the user, is the user's working hours, It is the user’s leisure time.

Images