Digital text travel interaction management system and method

Abstract

The invention relates to the technical field of digital text travel interaction, and discloses a digital text travel interaction management system and method, and the method comprises the steps: obtaining a historical text travel record of a target user, forming analysis data, forming first judgment data, forming second judgment data, and carrying out the content pushing of the target user. According to the information search record of the user for the target travel place, the preference of the user is analyzed and judged, and according to the historical travel record of the user, the travel habits of the user are analyzed and judged in combination with the travel records of all tourists at the historical travel place, so that the predicted staying time of the tourists for the target travel place is combined; according to the method and the system, the suitable journey is planned and recommended for the tourists, so that each tourist can experience, visit and taste more interested items, scenic spots and local characteristic food within limited time in the travel process, and the travel experience feeling of the tourists is improved.

Description

Technical Field

[0001] The present invention relates to the field of digital cultural tourism interaction technology, and in particular to a digital cultural tourism interaction management system and method. Background Art

[0002] The digital cultural and tourism interactive management system is a system that uses digital technology and information technology to improve the efficiency of cultural and tourism management, including: data collection and analysis, digital service platform, interaction and communication, real-time monitoring and management, and user experience optimization. The implementation of this system usually requires the combination of big data, artificial intelligence, the Internet of Things and other technologies, which can greatly improve the management efficiency and user experience of the cultural and tourism industry; Collect tourists' behavior data, preferences, feedback and other information through tourist data management, understand tourists' needs through data analysis, optimize services, monitor scenic spot traffic, facility status, environmental changes and other information in real time through scenic spot data management, provide decision-making basis for managers, provide location-based guide services such as AR / VR virtual reality guides through smart guides, enhance tourists' experience, make online reservations and payments for scenic spot tickets, hotels, restaurants, etc. through the platform, improve tourists' convenience, provide 24-hour online consultation through smart customer service using AI technology, answer tourists' questions, and provide personalized recommendations, build tourist communities through community interaction, promote interaction between tourists, share experiences and evaluations, and dispatch resources based on real-time data through smart scheduling, such as adjusting tour guide arrangements and optimizing traffic flow lines, monitor abnormal situations and issue warnings through risk warnings, such as weather changes, emergencies, etc., and adjust management strategies in a timely manner, recommend personalized travel routes and activities based on tourists' interests and historical behaviors through personalized recommendations, and design interactive activities or games through interactive experiences to improve tourists' participation and satisfaction; The existing digital cultural and tourism interactive management systems and methods cannot analyze and judge the user's preferences based on the user's information search records for the target travel destination, and cannot analyze and judge the user's travel habits based on the user's historical travel records combined with the travel records of all tourists at the historical travel destinations, so as to plan and recommend suitable itineraries for tourists based on the tourists' expected length of stay at the target travel destination, so that tourists cannot experience more of their favorite projects within a limited time, and their practicality has certain limitations. Summary of the invention

[0003] The present invention provides a digital cultural tourism interaction management system and method for promoting the solution of the problems raised in the background technology.

[0004] The present invention provides the following technical solution: a digital cultural tourism interactive management system, comprising: Collection module: obtain the historical cultural and travel records of target users; The historical cultural and travel records include historical locations and duration of stay; Analysis module: Based on the target data, the analysis data is generated through data analysis strategies; Judgment module: Based on the analysis data, if the target user is the first user, the first judgment data is formed through the browsing judgment strategy; if the target user is the second user, the second judgment data is formed through the cultural and tourism data judgment strategy; Push module: push content to target users according to the first determination data or the second determination data; The data analysis strategy is specifically as follows: If the target user has no historical travel records, he / she will be identified as the first user; If the target user has historical travel records, he or she will be identified as the second user.

[0005] The present invention also discloses a method for using a digital cultural tourism interactive management system, wherein: the browsing determination strategy is specifically: Get the target date; Set the judgment time; Calculate the judgment date, judgment date = target date - judgment duration; The determination date is used as the start time and the target date is used as the end time to form a determination period; Obtain all browsing records of the target user within the determination period; Obtain the content of each browsing record and determine it as the judgment content; Get the target location; Extracting the judgment contents related to the target location and determining them as relevant contents; Acquire the type of each relevant content and define it as a relevant type, wherein the relevant type includes a first type, a second type, and a third type; Get the total number of related contents, which is defined as the total number of related contents; Obtaining the quantities of the first type, the second type, and the third type of related content respectively, which are defined as the first type quantity, the second type quantity, and the third type quantity respectively; Calculate the ratios of the first type, the second type and the third type of related contents respectively, which are respectively determined as the first ratio, the second ratio and the third ratio, the first ratio = the number of the first type ÷ the total number of related contents, the second ratio = the number of the second type ÷ the total number of related contents, and the third ratio = the number of the third type ÷ the total number of related contents; Execute project push strategy.

[0006] As a method of using a digital cultural tourism interactive management system described in the present invention, the project push strategy is specifically: Acquire all target cultural and tourism spots at the target location, where the target cultural and tourism spots include a first cultural and tourism spot, a second cultural and tourism spot, and a third cultural and tourism spot; Get the number of all target cultural and tourism spots at the target location and set it as the total target number; Calculate the first recommended quantity, the first recommended quantity = the total target quantity × the first ratio; Calculate the second recommended quantity, the second recommended quantity = total target quantity × second ratio; Calculate the third recommended quantity, the third recommended quantity = total target quantity × third ratio; Get the number of tourists at each first cultural and tourism spot and define it as the first number of tourists; Sort all first cultural and tourism spots from large to small according to the values ​​of the first number of tourists to form a first order set; Taking the first element in the first sequence set as the starting element, extracting the first recommended number of elements backward in sequence to form a first recommended set; Obtain the number of tourists at each second cultural and tourism spot, and define it as the second number of tourists; Sort all the second cultural and tourism spots from large to small according to the values ​​of the second tourist volume to form a second sequence set; Taking the first element in the second sequence set as the starting element, extracting the second recommended number of elements backward in sequence to form a second recommended set; Obtain the number of tourists at each third cultural and tourism spot, and define it as the third tourist volume; Sort all third travel spots from large to small according to the value of the third tourist volume to form a third order set; Taking the first element in the third sequence set as the starting element, extracting the third recommended number of elements in sequence backward to form a third recommended set; The target cultural tourism projects are recommended to the target users according to the first recommendation set, the second recommendation set and the third recommendation set respectively.

[0007] As a method of using a digital cultural and tourism interactive management system described in the present invention, the cultural and tourism data determination strategy is specifically: Get the historical location of the target user; Acquire the target user's travel mode at the historical location, wherein the travel mode includes individual and group travel; If the target user's travel mode at the historical location is individual, the habit determination strategy is executed; If the target user's travel mode at the historical location is a group, the target user is identified as the first travel user, and an adjustment analysis strategy is executed.

[0008] As a method of using a digital cultural and tourism interactive management system according to the present invention, the habit determination strategy is specifically: Acquire all travel items of the target user at the historical location and define them as historical items, wherein the historical items include a first historical item, a second historical item, and a third historical item; The total time spent by the target user on the first history item, the second history item, and the third history item is obtained respectively, which are respectively defined as the first time length, the second time length, and the third time length; Obtain the target user's stay time at historical locations and define it as travel time; Get reference duration data; If the travel duration is within the first travel duration range, the travel speed of the target user is determined to be the first speed; If the travel duration is within the second travel duration range, the travel speed of the target user is determined to be the second speed; If the travel duration is within the third travel duration range, the travel speed of the target user is determined to be the third speed; Execute user determination policy.

[0009] As a method of using a digital cultural tourism interactive management system according to the present invention, the user determination strategy is specifically: Get the number of all historical locations of the target user and define it as the number of trips; The numbers of the first speed, the second speed and the third speed under the number of trips are obtained respectively, which are defined as the first speed number, the second speed number and the third speed number respectively; Calculate the first speed proportion, second speed proportion and third speed proportion respectively, first speed proportion = first speed quantity ÷ number of trips, second speed proportion = second speed quantity ÷ number of trips, third speed proportion = third speed quantity ÷ number of trips; If the first speed ratio is the largest, the target user is identified as the first travel user; If the second speed ratio is the largest, the target user is identified as the second travel user; If the third speed ratio is the largest, the target user is identified as the third travel user; Execute the adjustment analysis strategy.

[0010] As a method of using a digital cultural tourism interactive management system according to the present invention, wherein: the obtaining of reference duration data is specifically: Obtain the length of stay of all historical visitors to the historical site to form a length of stay set; Extract the maximum stay duration in the stay duration set and define it as the long stay duration; Extract the minimum stay duration in the stay duration set and define it as the short stay duration; Set a dwell threshold; Calculate the determined stay time, determined stay time = long stay time - short stay time; The short stay duration is taken as the starting duration, and the short stay duration × (1 + stay threshold) is taken as the ending duration to form the first travel duration range; The second travel duration range is formed by taking the long stay duration × (1-stay threshold) as the starting duration and the long stay duration as the ending duration; The short stay duration × (1 + stay threshold) is used as the starting duration, and the long stay duration × (1 - stay threshold) is used as the ending duration, forming the third travel duration range.

[0011] As a method of using a digital cultural tourism interactive management system according to the present invention, the adjustment analysis strategy is specifically: If the target user is a first travel user, all historical tourists whose stay time at the target location falls within the first travel time range are identified as target historical tourists; If the target user is a second travel user, all historical tourists whose stay time at the target location falls within the second travel time range are identified as target historical tourists; If the target user is a third-party travel user, all historical tourists whose duration of stay at the target location falls within the third-party travel duration range are identified as target historical tourists; Extracting historical cultural and travel data of all target historical tourists, wherein the historical cultural and travel data includes the number of first cultural and travel, the number of second cultural and travel, and the number of third cultural and travel; Calculate the first mean, second mean and third mean respectively, the first mean = the sum of the first cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists, the second mean = the sum of the second cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists, the third mean = the sum of the third cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists; Obtain a first sequence set, a second sequence set, and a third sequence set; Taking the first element in the first sequence set as the starting element, extracting the elements of the first mean value backward in sequence to form a first adjustment set; Taking the first element in the second sequence set as the starting element, extracting the elements with the second mean value backward in sequence to form a second adjustment set; Taking the first element in the third sequence set as the starting element, extracting elements with the third mean value backward in sequence to form a third adjusted set; Execute push adjustment strategy.

[0012] As a method of using a digital cultural tourism interactive management system according to the present invention, the push adjustment strategy is specifically: Calculate the proportion of the first duration, the second duration and the third duration respectively: the proportion of the first duration = the first duration ÷ the travel duration, the proportion of the second duration = the second duration ÷ the travel duration, the proportion of the third duration = the third duration ÷ the travel duration; Get the expected duration of stay of target users; Calculate the first allocated time, the second allocated time and the third allocated time respectively, the first allocated time = expected stay time × the proportion of the first time, the second allocated time = expected stay time × the proportion of the second time, the third allocated time = expected stay time × the proportion of the third time; The first allocated duration, the second allocated duration, and the third allocated duration are respectively matched with the first adjustment set, the second adjustment set, and the third adjustment set to form a first adjustment recommendation set, a second adjustment recommendation set, and a third adjustment recommendation set respectively; The target cultural tourism project is recommended to the target user according to the first adjusted recommendation set, the second adjusted recommendation set and the third adjusted recommendation set respectively.

[0013] The present invention has the following beneficial effects: 1. The digital cultural and tourism interactive management system and method obtains the user's historical cultural and tourism data to determine whether the user has travel experience, thereby determining the user's travel method and travel habits, and then plans and recommends suitable itineraries for tourists based on the tourists' expected length of stay at the target travel destination, so that each tourist can experience, visit and taste more projects, attractions and local specialties of interest within a limited time during the travel process, thereby enhancing the tourists' travel experience.

[0014] 2. The digital cultural tourism interactive management system and method obtains the user's stay time at a historical tourist location and the stay time of all historical tourists at the historical tourist location, judges the user's popular rhythm and travel habits, and then plans and recommends suitable itineraries for tourists based on the tourists' expected stay time at the target travel location, so that each tourist can experience, visit and taste more projects, attractions and local specialties of interest within a limited time during the travel process, thereby enhancing the tourists' travel experience.

[0015] 3. The digital cultural and tourism interactive management system and method obtains the information search records and browsing status of users without travel experience, judges the user's preferences, and then plans and recommends suitable itineraries for tourists based on the tourist situation of all cultural and tourism spots in the target location, so that each tourist can experience, visit and taste more projects, attractions and local specialties of interest to them within a limited time during the travel process, thereby enhancing the tourists' travel experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1This is a block diagram of the digital cultural tourism interactive management system of the present invention; Figure 2 This is a flow chart of the method of using the digital cultural tourism interactive management system in the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] Embodiment 1, a digital cultural tourism interactive management system, see Figure 1-Figure 2 ,include: Collection module: obtain the historical travel records of the target user to determine whether the target user has travel experience; The historical cultural and travel records include historical locations and duration of stay; Analysis module: Based on the target data, through data analysis strategies, analytical data is formed to determine whether the target user has travel experience, and thus determine the user's travel method and travel habits; Judgment module: Based on the analysis data, if the target user is the first user, the first judgment data is formed through the browsing judgment strategy; if the target user is the second user, the second judgment data is formed through the cultural and tourism data judgment strategy to judge the user's travel method and travel habits, so as to plan and recommend suitable itineraries for tourists; Push module: push content to target users according to the first determination data or the second determination data, so as to plan and recommend a suitable itinerary for tourists; The data analysis strategy is specifically as follows: If the target user has no historical travel records, he / she will be identified as the first user; If the target user has historical travel records, he or she will be identified as the second user.

[0019] Through the above modules, the user's preferences are analyzed and judged based on the user's information search records for the target travel destinations. The user's travel habits are analyzed and judged based on the user's historical travel records combined with the travel records of all tourists at the historical travel destinations. In this way, combined with the tourists' expected length of stay at the target travel destinations, suitable itineraries are planned and recommended for tourists, so that each tourist can experience, visit and taste more projects, attractions and local specialties of interest within a limited time during the travel process, thereby enhancing the tourists' travel experience.

[0020] Embodiment 2: This embodiment further discloses a method for using a digital cultural tourism interactive management system, wherein the browsing determination strategy is specifically: Obtaining a target date, where the target date is the date when the user arrives at the target location; Set the judgment period, which is one month; Calculate the judgment date, judgment date = target date - judgment duration; The determination date is used as the start time and the target date is used as the end time to form a determination period; Obtain all browsing records of the target user within the determination period; Obtain the content of each browsing record and determine it as the judgment content; Get the target location; Extracting the judgment contents related to the target location and determining them as relevant contents; Acquire the type of each relevant content and define it as a relevant type, wherein the relevant type includes a first type, a second type, and a third type, wherein the first type is culture, such as a museum, the second type is entertainment, such as an amusement park, and the third type is local specialty food; Get the total number of related contents, which is defined as the total number of related contents; Obtaining the quantities of the first type, the second type, and the third type of related content respectively, which are defined as the first type quantity, the second type quantity, and the third type quantity respectively; Calculate the ratios of the first type, the second type and the third type of related contents respectively, which are respectively determined as the first ratio, the second ratio and the third ratio, the first ratio = the number of the first type ÷ the total number of related contents, the second ratio = the number of the second type ÷ the total number of related contents, and the third ratio = the number of the third type ÷ the total number of related contents; Execute project push strategy.

[0021] The project push strategy is specifically as follows: Acquire all target cultural and tourism spots of the target location, wherein the target cultural and tourism spots include a first cultural and tourism spot, a second cultural and tourism spot, and a third cultural and tourism spot, wherein the first cultural and tourism spot is a cultural and tourism spot of the target location, such as a museum, the second cultural and tourism spot is an entertainment and tourism spot of the target location, such as an amusement park, and the third cultural and tourism spot is a local specialty food and tourism spot of the target location; Get the number of all target cultural and tourism spots at the target location and set it as the total target number; Calculate the first recommended quantity, the first recommended quantity = the total target quantity × the first ratio; Calculate the second recommended quantity, the second recommended quantity = total target quantity × second ratio; Calculate the third recommended quantity, the third recommended quantity = total target quantity × third ratio; Get the number of tourists at each first cultural and tourism spot and define it as the first number of tourists; Sort all first cultural and tourism spots from large to small according to the values ​​of the first number of tourists to form a first order set; Taking the first element in the first sequence set as the starting element, extracting the first recommended number of elements backward in sequence to form a first recommended set; Obtain the number of tourists at each second cultural and tourism spot, and define it as the second number of tourists; Sort all the second cultural and tourism spots from large to small according to the values ​​of the second tourist volume to form a second sequence set; Taking the first element in the second sequence set as the starting element, extracting the second recommended number of elements backward in sequence to form a second recommended set; Obtain the number of tourists at each third cultural and tourism spot, and define it as the third tourist volume; Sort all third travel spots from large to small according to the value of the third tourist volume to form a third order set; Taking the first element in the third sequence set as the starting element, extracting the third recommended number of elements in sequence backward to form a third recommended set; The target cultural tourism projects are recommended to the target users according to the first recommendation set, the second recommendation set and the third recommendation set respectively.

[0022] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. The method of using the digital cultural tourism interactive management system, the cultural tourism data determination strategy, is specifically: Get the historical location of the target user; Acquire the target user's travel mode at the historical location, the travel mode includes individual and group. The group means that the user's travel mode at the historical location is to join a tour group for sightseeing, and the individual means that the user's travel mode at the historical location is to travel with a fixed itinerary for himself. If the target user's travel mode at the historical location is individual, the habit determination strategy is executed; If the target user's travel mode at the historical location is a group, the target user is identified as the first travel user, and an adjustment analysis strategy is executed.

[0023] This embodiment also provides that the habit determination strategy is specifically: Acquire all travel items of the target user at the historical location and define them as historical items. The historical items include the first historical item, the second historical item and the third historical item. The travel items are the scenic spots, entertainment items and dining locations visited by the user at a certain location. The first historical item is a cultural item, such as a museum. The second historical item is entertainment, such as an amusement park. The third historical item is local specialty food. The total time spent by the target user on the first history item, the second history item, and the third history item is obtained respectively, which are respectively defined as the first time length, the second time length, and the third time length; Obtain the target user's stay time at the historical location and define it as the travel time, that is, the total time the target user spent at the location, such as one week; Get reference duration data; If the travel duration is within the first travel duration range, the target user's travel speed is determined to be the first speed, that is, the user travels fast and efficiently, and plays as many projects as possible in the shortest time; If the travel duration is within the second travel duration range, the target user's travel speed is determined to be the second speed, that is, the user travels slowly, focusing on his own experience, enjoying the comfort brought by slow travel, and not considering the travel time and travel restrictions brought by time; If the travel duration is within the third travel duration range, the target user's travel speed is determined to be the third speed, that is, the user's travel speed is average and the efficiency is average, while taking into account time, projects and feelings; Execute user determination policy.

[0024] This embodiment also provides that the user determination strategy is specifically: Get the number of all historical locations of the target user and define it as the number of trips; The numbers of the first speed, the second speed and the third speed under the number of trips are obtained respectively, which are defined as the first speed number, the second speed number and the third speed number respectively; Calculate the first speed proportion, second speed proportion and third speed proportion respectively, first speed proportion = first speed quantity ÷ number of trips, second speed proportion = second speed quantity ÷ number of trips, third speed proportion = third speed quantity ÷ number of trips; If the first speed ratio is the largest, the target user is identified as a first-time travel user, that is, the user travels fast and efficiently in most cases and is accustomed to playing as many projects as possible in the shortest time; If the second speed ratio is the largest, the target user is identified as a second travel user, that is, the user travels slowly in most cases, is used to focusing on his own experience, enjoys the comfort brought by slow travel, and does not consider the time for travel and the travel restrictions brought by time. If the third speed accounts for the largest percentage, the target user is identified as a third-level travel user, that is, the user travels at a normal speed and efficiency in most cases and is accustomed to taking time, projects, and feelings into consideration at the same time; Execute the adjustment analysis strategy.

[0025] The obtaining of reference duration data is specifically as follows: Obtain the length of stay of all historical tourists at the historical location to form a set of length of stay, that is, the length of time that tourists who have visited the historical location have traveled to the location; Extract the maximum stay duration in the stay duration set and define it as the long stay duration; Extract the minimum stay duration in the stay duration set and define it as the short stay duration; Setting a stay threshold, the stay threshold is 30%; Calculate the determined stay time, determined stay time = long stay time - short stay time; The short stay duration is taken as the starting duration, and the short stay duration × (1 + stay threshold) is taken as the ending duration to form the first travel duration range; The second travel duration range is formed by taking the long stay duration × (1-stay threshold) as the starting duration and the long stay duration as the ending duration; The short stay duration × (1 + stay threshold) is used as the starting duration, and the long stay duration × (1 - stay threshold) is used as the ending duration, forming the third travel duration range.

[0026] This embodiment also provides that the adjustment analysis strategy is specifically: If the target user is a first travel user, all historical tourists whose stay time at the target location falls within the first travel time range are identified as target historical tourists; If the target user is a second travel user, all historical tourists whose stay time at the target location falls within the second travel time range are identified as target historical tourists; If the target user is a third-party travel user, all historical tourists whose duration of stay at the target location falls within the third-party travel duration range are identified as target historical tourists; Extracting historical cultural and tourism data of all target historical tourists, the historical cultural and tourism data including a first cultural and tourism quantity, a second cultural and tourism quantity, and a third cultural and tourism quantity, wherein the first cultural and tourism quantity, the second cultural and tourism quantity, and the third cultural and tourism quantity are respectively the number of participants in the first cultural and tourism point, the second cultural and tourism point, and the third cultural and tourism point; Calculate the first mean, second mean and third mean respectively, the first mean = the sum of the first cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists, the second mean = the sum of the second cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists, the third mean = the sum of the third cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists; Obtain a first sequence set, a second sequence set, and a third sequence set; Taking the first element in the first sequence set as the starting element, extracting the elements of the first mean value backward in sequence to form a first adjustment set; Taking the first element in the second sequence set as the starting element, extracting the elements with the second mean value backward in sequence to form a second adjustment set; Taking the first element in the third sequence set as the starting element, extracting elements with the third mean value backward in sequence to form a third adjusted set; Execute push adjustment strategy.

[0027] The push adjustment strategy is specifically as follows: Calculate the proportion of the first duration, the second duration and the third duration respectively: the proportion of the first duration = the first duration ÷ the travel duration, the proportion of the second duration = the second duration ÷ the travel duration, the proportion of the third duration = the third duration ÷ the travel duration; Get the expected duration of stay of target users; Calculate the first allocated time, the second allocated time and the third allocated time respectively, the first allocated time = expected stay time × the proportion of the first time, the second allocated time = expected stay time × the proportion of the second time, the third allocated time = expected stay time × the proportion of the third time; The first allocated duration, the second allocated duration, and the third allocated duration are respectively matched with the first adjustment set, the second adjustment set, and the third adjustment set to form a first adjustment recommendation set, a second adjustment recommendation set, and a third adjustment recommendation set respectively; The target cultural tourism project is recommended to the target user according to the first adjusted recommendation set, the second adjusted recommendation set and the third adjusted recommendation set respectively.

[0028] In this embodiment, the user's preferences are analyzed and judged based on the user's information search records for the target travel destination, and the user's travel habits are analyzed and judged based on the user's historical travel records combined with the travel records of all tourists at the historical travel destinations. In this way, a suitable itinerary is planned and recommended for the tourists in combination with the tourists' expected length of stay at the target travel destination, so that each tourist can experience, visit and taste more projects, attractions and local specialties that interest them within a limited time during the travel process, thereby enhancing the tourists' travel experience.

Claims

1. A digital cultural tourism interactive management system, characterized by: include: Collection module: obtain the historical cultural and travel records of target users; The historical cultural and travel records include historical locations and duration of stay; Analysis module: Based on the target data, the analysis data is generated through data analysis strategies; Judgment module: Based on the analysis data, if the target user is the first user, the first judgment data is formed through the browsing judgment strategy; if the target user is the second user, the second judgment data is formed through the cultural and tourism data judgment strategy; Push module: push content to target users according to the first determination data or the second determination data; The data analysis strategy is specifically as follows: If the target user has no historical travel records, he / she will be identified as the first user; If the target user has historical travel records, he or she will be identified as the second user.

2. A method for a digital cultural tourism interactive management system, characterized by: Use the digital cultural tourism interactive management system described in claim 1; The browsing determination strategy is specifically: Get the target date; Set the judgment time; Calculate the judgment date, judgment date = target date - judgment duration; The determination date is used as the start time and the target date is used as the end time to form a determination period; Obtain all browsing records of the target user within the determination period; Obtain the content of each browsing record and determine it as the judgment content; Get the target location; Extracting the judgment contents related to the target location and determining them as relevant contents; Acquire the type of each relevant content and define it as a relevant type, wherein the relevant type includes a first type, a second type, and a third type; Get the total number of related contents, which is defined as the total number of related contents; Obtaining the quantities of the first type, the second type, and the third type of related content respectively, which are defined as the first type quantity, the second type quantity, and the third type quantity respectively; Calculate the ratios of the first type, the second type and the third type of related contents respectively, which are respectively determined as the first ratio, the second ratio and the third ratio, the first ratio = the number of the first type ÷ the total number of related contents, the second ratio = the number of the second type ÷ the total number of related contents, and the third ratio = the number of the third type ÷ the total number of related contents; Execute project push strategy.

3. The method according to claim 2, characterized in that: The project push strategy is specifically as follows: Acquire all target cultural and tourism spots at the target location, where the target cultural and tourism spots include a first cultural and tourism spot, a second cultural and tourism spot, and a third cultural and tourism spot; Get the number of all target cultural and tourism spots at the target location and set it as the total target number; Calculate the first recommended quantity, the first recommended quantity = the total target quantity × the first ratio; Calculate the second recommended quantity, the second recommended quantity = total target quantity × second ratio; Calculate the third recommended quantity, the third recommended quantity = total target quantity × third ratio; Get the number of tourists at each first cultural and tourism spot and define it as the first number of tourists; Sort all first cultural and tourism spots from large to small according to the values ​​of the first number of tourists to form a first order set; Taking the first element in the first sequence set as the starting element, extracting the first recommended number of elements backward in sequence to form a first recommended set; Obtain the number of tourists at each second cultural and tourism spot, and define it as the second number of tourists; Sort all the second cultural and tourism spots from large to small according to the values ​​of the second tourist volume to form a second sequence set; Taking the first element in the second sequence set as the starting element, extracting the second recommended number of elements backward in sequence to form a second recommended set; Obtain the number of tourists at each third cultural and tourism spot, and define it as the third tourist volume; Sort all third travel spots from large to small according to the value of the third tourist volume to form a third order set; Taking the first element in the third sequence set as the starting element, extracting the third recommended number of elements in sequence backward to form a third recommended set; The target cultural tourism projects are recommended to the target users according to the first recommendation set, the second recommendation set and the third recommendation set respectively.

4. The method according to claim 2, characterized in that: The cultural and tourism data determination strategy is specifically as follows: Get the historical location of the target user; Acquire the target user's travel mode at the historical location, wherein the travel mode includes individual and group travel; If the target user's travel mode at the historical location is individual, the habit determination strategy is executed; If the target user's travel mode at the historical location is a group, the target user is identified as the first travel user, and an adjustment analysis strategy is executed.

5. The method according to claim 4, characterized in that: The habit determination strategy is specifically as follows: Acquire all travel items of the target user at the historical location and define them as historical items, wherein the historical items include a first historical item, a second historical item, and a third historical item; The total time spent by the target user on the first history item, the second history item, and the third history item is obtained respectively, which are respectively defined as the first time length, the second time length, and the third time length; Obtain the target user's stay time at historical locations and define it as travel time; Get reference duration data; If the travel duration is within the first travel duration range, the travel speed of the target user is determined to be the first speed; If the travel duration is within the second travel duration range, the travel speed of the target user is determined to be the second speed; If the travel duration is within the third travel duration range, the travel speed of the target user is determined to be the third speed; Execute user determination policy.

6. The method according to claim 5, characterized in that: The user determination strategy is specifically: Get the number of all historical locations of the target user and define it as the number of trips; The numbers of the first speed, the second speed and the third speed under the number of trips are obtained respectively, which are defined as the first speed number, the second speed number and the third speed number respectively; Calculate the first speed proportion, second speed proportion and third speed proportion respectively, first speed proportion = first speed quantity ÷ number of trips, second speed proportion = second speed quantity ÷ number of trips, third speed proportion = third speed quantity ÷ number of trips; If the first speed ratio is the largest, the target user is identified as the first travel user; If the second speed ratio is the largest, the target user is identified as the second travel user; If the third speed ratio is the largest, the target user is identified as the third travel user; Execute the adjustment analysis strategy.

7. The method according to claim 5, characterized in that: The obtaining of reference duration data is specifically as follows: Obtain the length of stay of all historical visitors to the historical site to form a length of stay set; Extract the maximum stay duration in the stay duration set and define it as the long stay duration; Extract the minimum stay duration in the stay duration set and define it as the short stay duration; Set a dwell threshold; Calculate the determined stay time, determined stay time = long stay time - short stay time; The short stay duration is taken as the starting duration, and the short stay duration × (1 + stay threshold) is taken as the ending duration to form the first travel duration range; The second travel duration range is formed by taking the long stay duration × (1-stay threshold) as the starting duration and the long stay duration as the ending duration; The short stay duration × (1 + stay threshold) is used as the starting duration, and the long stay duration × (1 - stay threshold) is used as the ending duration, forming the third travel duration range.

8. The method according to claim 6, characterized in that: The adjustment analysis strategy is specifically as follows: If the target user is a first travel user, all historical tourists whose stay time at the target location falls within the first travel time range are identified as target historical tourists; If the target user is a second travel user, all historical tourists whose stay time at the target location falls within the second travel time range are identified as target historical tourists; If the target user is a third-party travel user, all historical tourists whose duration of stay at the target location falls within the third-party travel duration range are identified as target historical tourists; Extracting historical cultural and travel data of all target historical tourists, wherein the historical cultural and travel data includes the number of first cultural and travel, the number of second cultural and travel, and the number of third cultural and travel; Calculate the first mean, second mean and third mean respectively, the first mean = the sum of the first cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists, the second mean = the sum of the second cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists, the third mean = the sum of the third cultural tourism numbers of all target historical tourists ÷ the number of target historical tourists; Obtain a first sequence set, a second sequence set, and a third sequence set; Taking the first element in the first sequence set as the starting element, extracting the elements with the first mean value backward in sequence to form a first adjustment set; Taking the first element in the second sequence set as the starting element, extracting the elements with the second mean value backward in sequence to form a second adjustment set; Taking the first element in the third sequence set as the starting element, extracting elements of the third mean value backward in sequence to form a third adjustment set; Execute push adjustment strategy.

9. The method according to claim 8, characterized in that: The push adjustment strategy is specifically as follows: Calculate the proportion of the first duration, the second duration and the third duration respectively: the proportion of the first duration = the first duration ÷ the travel duration, the proportion of the second duration = the second duration ÷ the travel duration, the proportion of the third duration = the third duration ÷ the travel duration; Get the expected duration of stay of target users; Calculate the first allocated time, the second allocated time and the third allocated time respectively, the first allocated time = expected stay time × the proportion of the first time, the second allocated time = expected stay time × the proportion of the second time, the third allocated time = expected stay time × the proportion of the third time; The first allocated duration, the second allocated duration, and the third allocated duration are respectively matched with the first adjustment set, the second adjustment set, and the third adjustment set to form a first adjustment recommendation set, a second adjustment recommendation set, and a third adjustment recommendation set respectively; The target cultural tourism project is recommended to the target user according to the first adjusted recommendation set, the second adjusted recommendation set and the third adjusted recommendation set respectively.

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