User intention recognition system for science popularization display

Abstract

The invention relates to the field of science popularization effect analysis, in particular to a user intention recognition system for science popularization exhibition, which is characterized in that a plurality of visiting paths are determined based on a preset time period, and visiting state features corresponding to a plurality of science popularization exhibition areas are extracted; in combination with the proportion of the number of visitors taking the science popularization exhibition area as the first visitors, analyzing a wind direction popularity characterization value, and determining a flow exhibition area; screening a predetermined number of traffic visiting paths, identifying the number of interactive conversion personnel in an interactive exhibition area behind the traffic exhibition area in the traffic visiting paths, calculating an effect conversion characterization value in combination with exhibit operation characteristics of visitors for the interactive exhibition area, and judging whether a conversion quality reference is met or not; sending questionnaires to visitors, and evaluating and analyzing the science popularization quality of the traffic exhibition area; and judging whether to adjust the recommended visiting path or not based on the wind direction heat characterization value. According to the invention, while the transmission effect of the popular science knowledge is enhanced, the overall visiting efficiency of popular science display and the visiting experience of the user are improved.

Description

Technical Field

[0001] This invention relates to the field of science popularization effectiveness analysis, and in particular to a user intent recognition system for science popularization presentations. Background Technology

[0002] With the development of science and technology and the increasing demand for science popularization from the public, various science popularization exhibition venues have become important platforms for popularizing scientific knowledge and improving the public's scientific literacy. During science popularization exhibitions, effectively identifying visitors' interests and intentions, and accordingly optimizing exhibition content, adjusting visitor flow, and improving interactive experiences and knowledge transfer efficiency, are key issues currently facing the operation of science popularization exhibitions.

[0003] Therefore, a relevant system is built to accurately locate truly attractive and high-conversion-value "traffic zones" from massive behavioral data, evaluate the actual driving effect of these zones on subsequent science popularization experiences, assess the effectiveness of science popularization based on multi-dimensional feedback, and dynamically optimize visit recommendation strategies, thereby achieving efficient allocation of science popularization resources and personalized improvement of visit experience.

[0004] Chinese Patent Application Publication No. CN118041981A discloses a data analysis method based on exhibition management information, comprising: S1, dividing exhibitors within a preset area into several fields; S2, initially generating push information on the exhibitor's client based on the individual exhibitor's professional information; S3, determining whether the push information meets preset standards; S4, re-determining the push field based on the exhibitor's participation information; S5, re-determining whether the push information meets preset standards based on the average dwell time of an individual exhibitor at various coordinate points within the preset area; and S6, continuously using the current push information as the push information for the individual user's client. By pushing exhibitor information to exhibitors in a corresponding manner to exhibitors, exhibitor information that meets the user's needs and interests can be pushed more accurately, improving user experience and satisfaction.

[0005] However, the following problems still exist in the existing technology. Traditional science popularization exhibition effectiveness evaluation systems often focus on the subjective feelings of visitors. For example, they collect feedback such as "Was the visit satisfactory?" or "Were the exhibits interesting?" through simple questionnaires, or use superficial data like visitor numbers and duration of stay as core evaluation indicators. This neglects the core objective of science popularization activities: whether knowledge is effectively transmitted, understood, and transformed into visitors' cognitive reserves and application abilities. This evaluation model has significant limitations: firstly, subjective data is easily influenced by temporary factors such as emotions and environment, making it difficult to objectively reflect the quality of knowledge transmission; secondly, the lack of quantitative measurement of knowledge mastery, such as the accuracy of recognizing core knowledge points and the ability to transfer and apply knowledge, prevents operators from accurately judging the suitability of science content and the effectiveness of the delivery path. Consequently, it becomes difficult to optimize exhibit design, explanation logic, and path planning, ultimately leading to a disconnect between science popularization resource investment and knowledge delivery effectiveness. Summary of the Invention

[0006] To address this, the present invention provides a user intent recognition system for science popularization displays, which overcomes the problem that the traditional science popularization display effect evaluation model in the prior art is too one-sided, making it impossible for operators to accurately judge the suitability of science popularization content and the effectiveness of the delivery path, thus making it difficult to optimize exhibit design, explanation logic and path planning in a targeted manner, ultimately causing a disconnect between science popularization resource investment and knowledge delivery effectiveness.

[0007] To achieve the above objectives, the present invention provides a user intent recognition system for popular science demonstrations, comprising: The path extraction module is used to determine several visitor paths based on a predetermined time period and extract visitor status features corresponding to several science popularization exhibition areas. The visitor status features include the average visit duration and the average browsing time of the exhibit explanation signs. The visitor analysis module, which is connected to the path extraction module, is used to combine the visitor status characteristics and the proportion of visitors who first visited the science popularization exhibition area to analyze the wind direction heat characterization value of the science popularization exhibition area in order to determine the traffic exhibition area. The traffic assessment module, which is connected to the visitor analysis module, is used to filter a predetermined number of traffic visit paths, identify the number of interactive conversion personnel in the interactive exhibition area that is ranked after the traffic exhibition area in the traffic visit path, and calculate the effect conversion characterization value for the traffic exhibition area in combination with the visitor's operation characteristics of the exhibits in the interactive exhibition area, so as to determine whether the conversion quality benchmark is met. The effect feedback module, connected to the traffic assessment module, responds to the assessment results by sending questionnaires to visitors to evaluate and analyze the educational quality of the traffic exhibition area, including... Based on the feedback intention characteristics of the questionnaire, and combined with the proportion of questionnaires submitted within the predetermined feedback time, the popular science effectiveness characterization value of the traffic exhibition area is evaluated, and the popular science quality level of the traffic exhibition area is determined. The recommended adjustment module, which is connected to the visit analysis module, is used to determine whether to adjust the recommended visit route based on the wind direction heat characterization value; The exhibit operation characteristics include the operation time and final operation progress of the exhibit, and the feedback intention characteristics include the accuracy rate of problem retesting and the browsing time of attachments.

[0008] Furthermore, the visitor analysis module is used to analyze the wind direction and heat signature values ​​of the science popularization exhibition area, including: The sum of the ratio of the average visit duration to the average visit duration threshold and the ratio of the average viewing time of the exhibit information plaques to the average viewing time threshold is used as the first wind direction heat feature. The ratio of the percentage of visitors who prioritize the science popularization exhibition area to the threshold percentage of visitors is used as the second trend heat characteristic. The weighted sum of the first wind direction thermal characteristic and the second wind direction thermal characteristic is used to determine the wind direction thermal characterization value.

[0009] Furthermore, the visitor analysis module is used to determine the traffic flow of exhibition areas, including: This is used to sort several science popularization exhibition areas in descending order based on wind direction and thermal characterization values; The science popularization exhibition area, which is located at the top, is used as the traffic exhibition area.

[0010] Furthermore, the traffic assessment module is used to filter a predetermined number of visitor paths, including: Used to invoke several visitor paths that include traffic exhibition areas within a predetermined time period, and to obtain the number of times each visitor path is used and the degree of use; The ratio of the number of uses to the number of uses threshold and the ratio of the usage completeness to the usage completeness threshold are used as the path traffic value of the corresponding visitor path; This is used to sort each visitor path in descending order based on the path traffic value, and to select a predetermined number of visitor paths as the traffic visitor paths in sequence.

[0011] Furthermore, the traffic evaluation module is used to calculate the conversion performance value for the traffic display area, including: The ratio of the number of interactive conversions in the interactive exhibition area ranked after the traffic exhibition area to the threshold of the number of interactive conversions is used as the first effect conversion feature; The sum of the ratio of the operation time to the operation time threshold and the ratio of the final operation progress to the final operation progress threshold is used as the second effect conversion feature. The first effect conversion feature and the second effect conversion feature are weighted and summed to determine the effect conversion characterization value.

[0012] Furthermore, the traffic evaluation module is used to determine whether the conversion quality benchmark is met, including: If the conversion performance index for the traffic display area is greater than or equal to the conversion performance index threshold, then the conversion quality benchmark is met.

[0013] Furthermore, if the effect feedback module responds to the traffic evaluation module's determination that the conversion quality benchmark is met, it sends a questionnaire to the visitors to evaluate and analyze the science popularization quality of the traffic exhibition area.

[0014] Furthermore, the effect feedback module is used to evaluate the science popularization effectiveness representation value of the traffic exhibition area, including: The sum of the ratio of the accuracy rate of problem retesting to the threshold of problem retesting and the ratio of the browsing time of attachments to the browsing time threshold is used as the first feature of popular science effectiveness. The ratio of the percentage of questionnaires submitted within the predetermined feedback period to the percentage threshold of the number of submissions is used as the second characteristic of the effectiveness of popular science. The weighted summation of the first and second science popularization effectiveness features is used to determine the science popularization effectiveness characterization value.

[0015] Furthermore, the effect feedback module is used to determine the science popularization quality level of the traffic exhibition area, including: Pre-set the correspondence between the science popularization quality level and the predetermined science popularization effectiveness representation value range; Determine the range of science popularization effectiveness representation values ​​to which the corresponding science popularization effectiveness representation values ​​for the traffic exhibition area belong; Set the science popularization quality level corresponding to the science popularization effectiveness characterization value range as the science popularization quality level of the traffic exhibition area; Among them, the science popularization quality level and the science popularization effectiveness representation value range correspond one-to-one.

[0016] Furthermore, the recommendation adjustment module is used to determine whether to adjust the recommended visitor route based on the wind direction heat characterization value, including: If the wind direction heat index value is greater than or equal to the wind direction heat index threshold, it is determined that the recommended visit route will be adjusted. The recommended visit route is determined based on the sequential order of several exhibition areas along the spatial path and the corresponding wind direction and heat intensity values.

[0017] Compared with existing technologies, this invention includes a path extraction module, which determines several visitor paths based on a predetermined time period and extracts visitor status characteristics corresponding to several science popularization exhibition areas; a visitor analysis module, which analyzes the popularity index of science popularization exhibition areas by combining visitor status characteristics and the proportion of visitors who prioritize science popularization exhibition areas to determine high-traffic exhibition areas; a traffic evaluation module, which filters a predetermined number of high-traffic visitor paths, identifies the number of interactive conversions in interactive exhibition areas following high-traffic exhibition areas within these paths, and calculates the conversion index for high-traffic exhibition areas based on visitor interaction characteristics with exhibits in interactive exhibition areas to determine whether the conversion quality benchmark is met; an effect feedback module, which responds to the judgment results of the traffic evaluation module by sending questionnaires to visitors to evaluate and analyze the science popularization quality of high-traffic exhibition areas; and a recommendation adjustment module, which determines whether to adjust recommended visitor paths based on the popularity index. This invention enhances the effectiveness of science popularization knowledge transmission while improving the overall visitor efficiency and user experience of science popularization exhibitions.

[0018] In particular, this invention, by identifying core traffic areas, facilitates operators in clearly defining resource priorities and improving resource utilization efficiency. The average visitor time quantifies visitors' immersion in the science exhibits and their retention of interest, reflecting their "willingness to maintain focus" and "level of immersion" in the content. Explanatory plaques, as the core carrier of scientific knowledge transmission, directly reflect visitors' willingness to delve deeper into the scientific principles and background information behind the exhibits, quantifying their proactive exploration and knowledge acquisition needs. Furthermore, it indirectly quantifies the efficiency of scientific knowledge transmission. If visitors are not willing to browse the explanatory plaques and the browsing time is too short, even if the exhibits themselves are interesting, it is difficult to achieve the core goal of scientific knowledge transmission, thus reflecting the potential conversion of "exhibit attractiveness" into "knowledge transmission." However, in reality, visitors choosing a particular science exhibit as their first stop reflects a direct recognition of its thematic value and interest relevance. Furthermore, this invention reflects the active attractiveness of a science popularization exhibition area and the visitors' recognition of its theme by measuring the percentage of visitors who prioritize visiting the science popularization exhibition area. A higher percentage indicates a stronger "initial attractiveness" and a theme that aligns more closely with the target audience's interests. This complements the visitor status characteristics, making the positioning of high-traffic exhibition areas more precise. Therefore, this invention provides a comprehensive evaluation of the attractiveness quality of science popularization exhibition areas from three dimensions: "active preference," "immersion level," and "knowledge need." It analyzes the popularity index of science popularization exhibition areas to link their popularity with quality, reflecting the corresponding popularity and the quality of visitor participation, thus characterizing the overall attractiveness quality of the exhibition area. This provides data support for subsequently determining high-traffic exhibition areas, aligning with the core objectives of science popularization displays: attracting users and conveying knowledge.

[0019] In particular, this invention establishes a path selection benchmark, using the frequency of use of visitor paths that can reflect visitor preferences and the corresponding completeness of use that can reflect the feasibility and attractiveness of the paths as quantitative benchmarks to calculate path traffic values ​​and extract high-quality traffic visitor paths with high usage and high completion rates, rather than scattered and inefficient random paths. This allows subsequent conversion analysis to focus on representative core paths, reduce interference from invalid data, and improve analysis efficiency.

[0020] In particular, this invention focuses on the driving effect of high-traffic exhibition areas on subsequent interactive exhibition areas. It quantifies the traffic-driving value of high-traffic exhibition areas by measuring the number of people who interact and convert in the subsequent interactive exhibition areas, i.e., whether high popularity can truly translate into visitors' willingness to participate in related interactive content. Beyond focusing on conversion and participation, the invention also measures the depth of interaction among those who interact. Specifically, the duration of interaction time with exhibits reflects their sustained attention and level of engagement, quantifying their participation and interest retention. Longer operation time indicates a higher degree of alignment between the interactive format, theme, and the interests of the participants, suggesting they are willing to actively invest time in exploration rather than engaging in superficial "try and give up" participation. Furthermore, the core objective of science popularization interactive exhibits is to convey specific knowledge or skills through operation. The closer the operation progress is to 100%, the better the participants understand the interactive logic of the exhibit and gradually grasp the underlying science knowledge. The final operation progress quantifies the conversion effect of the interactive format into knowledge transmission. Furthermore, the longer and more complete the interaction time and progress of the conversion personnel in the interactive exhibition area, the higher their immersion in the area. This indirectly confirms the quality of traffic generation in the traffic exhibition area, indicating that it attracts users with genuine needs for science popularization content, rather than simply "passing by for conversion." Therefore, this invention quantifies the "traffic generation value" and "conversion ability" of traffic exhibition areas by calculating the conversion performance value for these areas. It clarifies whether high-popularity exhibition areas truly drive deep interaction among visitors, thus characterizing the matching degree of traffic generation and conversion ability, providing data support for subsequent determination of whether conversion quality benchmarks are met. By screening high-value paths and quantifying conversion effects, this invention ensures that the "high popularity" of traffic exhibition areas can be effectively transmitted to subsequent interactive exhibition areas, forming a virtuous cycle of "traffic-conversion-deep participation," thereby improving the overall quality of visitor participation and the efficiency of knowledge transfer in science popularization exhibitions.

[0021] In particular, this invention focuses the questionnaire distribution on core visitors who have already been attracted by the traffic-generating exhibition area and have actively participated in subsequent interactive exhibition areas. These visitors have genuine contact with and experience of the content in the traffic-generating exhibition area, resulting in more targeted feedback and ensuring the quality of the feedback data. Simultaneously, to ensure the representativeness of the questionnaire feedback and guarantee visitor acceptance, this invention quantifies the feedback by measuring the percentage of questionnaires submitted within a predetermined feedback period. A higher percentage of submissions indicates that the feedback more comprehensively covers the experiences of most core users, avoiding evaluation bias due to insufficient sample size. Furthermore, it indirectly confirms visitors' positive feelings towards the traffic-generating exhibition area. For example, visitors who are satisfied with their experience in a science popularization exhibition area are more willing to participate in subsequent feedback, resulting in a correspondingly higher submission rate. The effectiveness of science popularization is evaluated based on the questionnaire feedback. Through objective question retesting, the invention accurately measures whether visitors truly understand and remember the content of the traffic-generating exhibition area, avoiding inflated results where visitors find it interesting but haven't learned anything. The accuracy rate of the question retesting reflects the degree of absorption and mastery of the science popularization knowledge by visitors, quantifying the actual effect of science popularization knowledge delivery. Furthermore, the questionnaire appendix, as a supplementary extension to the science popularization content, incorporates visitor time spent at each exhibition area, quantifying visitors' depth of interest and willingness to actively explore the themes of the popular science exhibition areas. Therefore, this invention evaluates the effectiveness of science popularization in popular science exhibition areas to characterize the quality of knowledge delivery and the effectiveness of stimulating visitor interest, providing data support for subsequently determining the quality level of science popularization in these areas. This invention enhances the effectiveness of science knowledge delivery while improving the overall visitor efficiency and user experience of science popularization exhibitions. Attached Figure Description

[0022] Figure 1 This is a functional block diagram of a user intent recognition system for popular science demonstration, as described in an embodiment of the invention. Figure 2 A logic diagram for determining whether a conversion quality benchmark is met in an embodiment of the invention. Figure 3 A logic diagram for sending questionnaires to visitors in an embodiment of the invention; Figure 4 This is a logic diagram for determining whether to adjust the recommended visitor route in an embodiment of the invention. Detailed Implementation

[0023] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0024] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0025] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0026] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0027] Please see Figure 1 The diagram shown is a functional block diagram of a user intent recognition system for science popularization demonstration according to an embodiment of the present invention. The user intent recognition system for science popularization demonstration according to an embodiment of the present invention includes: The path extraction module is used to determine several visitor paths based on a predetermined time period and extract visitor status features corresponding to several science popularization exhibition areas. The visitor status features include the average visit duration and the average browsing time of the exhibit explanation signs. The visitor analysis module, which is connected to the path extraction module, is used to combine the visitor status characteristics and the proportion of visitors who first visited the science popularization exhibition area to analyze the wind direction heat characterization value of the science popularization exhibition area in order to determine the traffic exhibition area. The traffic assessment module, which is connected to the visitor analysis module, is used to filter a predetermined number of traffic visit paths, identify the number of interactive conversion personnel in the interactive exhibition area that is ranked after the traffic exhibition area in the traffic visit path, and calculate the effect conversion characterization value for the traffic exhibition area in combination with the visitor's operation characteristics of the exhibits in the interactive exhibition area, so as to determine whether the conversion quality benchmark is met. The effect feedback module, connected to the traffic assessment module, responds to the assessment results by sending questionnaires to visitors to evaluate and analyze the educational quality of the traffic exhibition area, including... Based on the feedback intention characteristics of the questionnaire, and combined with the proportion of questionnaires submitted within the predetermined feedback time, the popular science effectiveness characterization value of the traffic exhibition area is evaluated, and the popular science quality level of the traffic exhibition area is determined. The recommended adjustment module, which is connected to the visit analysis module, is used to determine whether to adjust the recommended visit route based on the wind direction heat characterization value; The exhibit operation characteristics include the operation time and final operation progress of the exhibit, and the feedback intention characteristics include the accuracy rate of problem retesting and the browsing time of attachments.

[0028] Understandably, to ensure the representativeness and significance of the statistical data, support subsequent analysis, and balance timeliness and stability, while also matching the optimized rhythm of science popularization operations and covering the complete passenger flow cycle, this embodiment sets the predetermined time period to 14 days, which will not be elaborated further.

[0029] Specifically, there are no restrictions on the specific structure of the path extraction module, visit analysis module, traffic assessment module, effect feedback module, and recommendation adjustment module. Each module or its units can be composed of logical components or combinations of logical components. Logical components include field-programmable processors, computers, or microprocessors in computers.

[0030] Specifically, the visitor analysis module is used to analyze the wind direction and heat signature values ​​of the science popularization exhibition area, including: The sum of the ratio of the average visit duration to the average visit duration threshold and the ratio of the average viewing time of the exhibit information plaques to the average viewing time threshold is used as the first wind direction heat feature. The ratio of the percentage of visitors who prioritize the science popularization exhibition area to the threshold percentage of visitors is used as the second trend heat characteristic. The weighted sum of the first wind direction thermal characteristic and the second wind direction thermal characteristic is used to determine the wind direction thermal characterization value.

[0031] Specifically, the core of analyzing the popularity index of science popularization exhibition areas lies in quantifying the true attractiveness of these areas. This means that the exhibition area should not only attract visitors but also retain them and encourage deep engagement. This aligns closely with the core objectives of science popularization: knowledge delivery and interest stimulation. Visitor behavior characteristics are indicators of visitor quality after entering the exhibition area. A longer average visit duration indicates stronger retention of interest in the content, such as exhibits and interactive elements, and a greater willingness to invest time in immersive exploration. A longer viewing time of explanatory panels indicates a proactive need for knowledge acquisition. The knowledge delivery carriers in the exhibition area, such as explanatory panels, effectively attract visitor attention, directly serving the core objective of "knowledge delivery" in science popularization. These two characteristics together constitute the deep attractiveness of science popularization exhibition areas and are the core basis for measuring their true value. The percentage of visitors prioritizing the science popularization exhibition area reflects their initial preference, influenced by various external factors such as the exhibition area's prominent location, extensive pre-visit promotion, and an eye-catching theme. However, these factors are not necessarily directly related to the quality of the exhibition content or its educational value. Therefore, the first trend popularity characteristic, calculated based on visitor status characteristics (average visit duration and average viewing time of exhibit information panels), is assigned a higher weighting coefficient of 0.6. The second trend popularity characteristic, calculated based on the percentage of visitors prioritizing the science popularization exhibition area, is assigned a weighting coefficient of 0.4.

[0032] In this embodiment, the purpose of setting the threshold for average visit duration, average browsing duration, and the percentage of visitors is to characterize situations where the overall attractiveness of the science popularization exhibition area to visitors is of high quality. By acquiring visitor interaction data for several historical predetermined time periods corresponding to science popularization exhibition areas, calling historical data on the average visit duration of people in science popularization exhibition areas, historical data on the average browsing time of exhibit explanation boards, and historical data on the percentage of visitors who prioritize the corresponding science popularization exhibition area, the average visit duration, average browsing time, and average percentage of visitors are calculated and used as the benchmark values ​​under normal circumstances. Based on the purpose of setting the above three thresholds, the threshold for the average visit duration is determined as the product of the average visit duration and the first deviation coefficient; the threshold for the average browsing time is determined as the product of the average browsing time and the second deviation coefficient; and the threshold for the percentage of visitors is determined as the product of the percentage of visitors and the third deviation coefficient. The first deviation coefficient is selected within the interval [1.2, 1.3], preferably 1.2 in practice; the second deviation coefficient is selected within the interval [1.3, 1.4], preferably 1.3 in practice; and the third deviation coefficient is selected within the interval [1.2, 1.4], preferably 1.2 in practice.

[0033] Specifically, the visitor interaction data includes visitor status characteristics, the percentage of visitors who prioritize the science popularization exhibition area, the frequency and completeness of the visitor path usage, the number of interactive conversions in interactive exhibition areas following the traffic exhibition area in the traffic visitor path, exhibit operation characteristics, feedback intention characteristics, and the percentage of questionnaires submitted within the predetermined feedback time.

[0034] Specifically, the collection of relevant visitor interaction data is completed through the collaboration of cameras and exhibit-linked sensors. Cameras capture the first direction of movement and the area where visitors linger after entering the venue, determining the percentage of visitors who prioritize the science popularization exhibition area. The average visit duration is calculated based on the time visitors spend in the science popularization exhibition area as recorded by the cameras, and the average viewing time of the exhibit explanatory plaques is determined by the direction of their gaze and the location where they stop. The system tracks visitors' movements from the main exhibition area to the subsequent interactive exhibition area using cameras to count the number of people who interact and convert; it also uses sensor-linked displays to record the duration of visitors' touches on the exhibits in the interactive exhibition area to obtain the operation time, and records the final operation progress through data such as module trigger progress and task completion nodes, which will not be elaborated further.

[0035] Specifically, this invention, by identifying core traffic exhibition areas, facilitates operators in clearly defining resource allocation priorities and improving resource utilization efficiency. The average visit duration quantifies visitors' immersion in the science exhibition area's content and their retention of interest, reflecting their "willingness to maintain attention" and "level of immersion." Longer visit durations indicate that the exhibition area's content is rich, engaging, or informative, meeting visitors' exploration needs; for example, the exhibits, display formats, and depth of knowledge are more attractive and retain users. Explanatory plaques, as the core carrier of science knowledge, directly reflect visitors' willingness to delve deeper into the scientific principles and background information behind the exhibits, quantifying their proactive exploration willingness and knowledge acquisition needs. In particular, longer viewing times of the explanatory plaques indicate that the content, such as language logic, knowledge depth, and presentation format, is more attractive, and the visitor's "knowledge acquisition needs" are more fulfilled. Furthermore, this invention can indirectly quantify the efficiency of science popularization knowledge transmission. If visitors are not willing to browse the explanatory panels and the browsing time is too short, even if the exhibits themselves are interesting, it is difficult to achieve the core goal of science popularization knowledge transmission. This reflects the potential for the transformation from "exhibit attractiveness" to "knowledge transmission." However, in reality, visitors choosing a particular science popularization exhibition hall as their first stop reflects a direct recognition of its thematic value and interest relevance. Therefore, this invention uses the percentage of visitors who choose a science popularization exhibition area as their first stop to reflect the active attractiveness of the exhibition area and the visitors' recognition of its thematic value. A higher percentage indicates a stronger "initial attractiveness" of the exhibition area and a more closely aligned theme with the target audience's interests. For example, in children's science popularization venues, a high percentage of visitors choose the "Aerospace Interactive Exhibition Area" as their first stop indicates a strong active interest in aerospace topics among children, complementing their visitor behavior and making the positioning of high-traffic exhibition areas more precise. Therefore, this invention forms a three-dimensional evaluation of the attractiveness and quality of science popularization exhibition areas from three dimensions: "active preference," "immersion level," and "knowledge demand." It analyzes the popularity and heat characterization value of science popularization exhibition areas to bind the popularity and quality of science popularization exhibition areas, reflecting the popularity of the corresponding science popularization exhibition area and the quality of visitor participation, characterizing the overall attractiveness and quality of science popularization exhibition areas, providing data support for the subsequent determination of traffic exhibition areas, and aligning with the core goal of science popularization exhibitions to attract users and convey knowledge.

[0036] Specifically, the visitor analysis module is used to determine the traffic flow of exhibition areas, including: This is used to sort several science popularization exhibition areas in descending order based on wind direction and thermal characterization values; The science popularization exhibition area, which is located at the top, is used as the traffic exhibition area.

[0037] Specifically, the traffic assessment module is used to filter a predetermined number of visitor paths, including: Used to invoke several visitor paths that include traffic exhibition areas within a predetermined time period, and to obtain the number of times each visitor path is used and the degree of use; The ratio of the number of uses to the number of uses threshold and the ratio of the usage completeness to the usage completeness threshold are used as the path traffic value of the corresponding visitor path; This is used to sort each visitor path in descending order based on the path traffic value, and to select a predetermined number of visitor paths as the traffic visitor paths in sequence.

[0038] In this embodiment, the purpose of setting the usage frequency threshold and the usage completeness threshold is to filter representative high-quality visitor routes. By acquiring visitor interaction data of the science popularization exhibition area corresponding to several historical predetermined time periods, and calling the historical usage frequency data and usage completeness data of several visitor routes, the average usage frequency and the average usage completeness are calculated and used as the benchmark values ​​under normal circumstances. Based on the purpose of setting the above two thresholds, the usage frequency threshold is determined as the product of the average usage frequency and the frequency deviation coefficient, and the usage completeness threshold is determined as the product of the average usage completeness and the completeness deviation coefficient. The frequency deviation coefficient is selected in the interval [1.2, 1.4], preferably 1.2 in practice, and the completeness deviation coefficient is selected in the interval [1.4, 1.6], preferably 1.4 in practice.

[0039] Specifically, the completeness of the visitor route refers to the ratio of the number of nodes through which visitors interact to the total number of nodes in the corresponding visitor route. A single science exhibition area is considered a node.

[0040] Specifically, this invention establishes a path selection benchmark, using the frequency of use of visitor paths that reflects visitor preferences and the corresponding completeness of use that reflects the feasibility and attractiveness of the paths as quantitative benchmarks. The path traffic value is calculated to extract high-quality visitor paths with high usage and high completion rates, rather than scattered and inefficient random paths. This allows subsequent conversion analysis to focus on representative core paths, reduce interference from invalid data, and improve analysis efficiency.

[0041] In order to cover mainstream visitor preferences and avoid a one-sided sample due to too few visitor paths, or to avoid introducing too many inefficient visitor paths to interfere with the analysis, in this embodiment, the predetermined number is set to 5.

[0042] Specifically, the traffic evaluation module is used to calculate the performance conversion value for the traffic display area, including: The ratio of the number of interactive conversions in the interactive exhibition area ranked after the traffic exhibition area to the threshold of the number of interactive conversions is used as the first effect conversion feature; The sum of the ratio of the operation time to the operation time threshold and the ratio of the final operation progress to the final operation progress threshold is used as the second effect conversion feature. The first effect conversion feature and the second effect conversion feature are weighted and summed to determine the effect conversion characterization value.

[0043] Specifically, the purpose of setting the conversion performance indicator value is to quantify the traffic-driving value of the traffic exhibition area. This means that the traffic exhibition area not only "drives users into subsequent interactive exhibition areas" (i.e., conversion in terms of the number of visitors), but also "promotes deeper user engagement and knowledge transfer" (i.e., quality conversion). This aligns perfectly with the core path of "deep engagement - knowledge absorption" in science popularization. The time visitors spend interacting with exhibits and their final progress serve as "deep engagement indicators" after entering the interactive exhibition area, directly reflecting the actual value of science popularization conversion. The number of people converting through interaction is essentially the efficiency of traffic transmission, measuring whether the traffic exhibition area can "transmit its popularity to subsequent interactive exhibition areas." This is easily influenced by external factors, such as a high number of conversions, which might be due to the interactive exhibition area being adjacent to the traffic exhibition area or forced guidance in the path design, rather than being driven by genuine visitor interest. Therefore, the second conversion performance characteristic calculated based on the exhibit's operational characteristics—namely, the time spent interacting with the exhibit and the final progress—is given a higher weighting coefficient, set to 0.6. The first conversion performance characteristic calculated based on the number of people converting through interaction in the next-ranked interactive exhibition area is set to a weighting coefficient of 0.4.

[0044] In this embodiment, the purpose of setting the threshold for the number of interactive conversion personnel, the threshold for operation time, and the threshold for final operation progress is to characterize the situation where the matching degree between the traffic attraction and conversion capabilities of the traffic exhibition area is relatively high. By acquiring visitor interaction data for several historical predetermined time periods of science popularization exhibition areas, and calling historical data on the number of interactive visitors in the interactive exhibition areas following the corresponding traffic exhibition areas in the visitor flow path, historical data on the operation time of visitors for exhibits, and historical data on the corresponding final operation progress, the average number of interactive visitors, the average operation time, and the average final operation progress are calculated and used as the benchmark values ​​under normal circumstances. Based on the purpose of setting the above three thresholds, the threshold for the number of interactive visitors is determined as the product of the average number of interactive visitors and the number deviation coefficient; the threshold for operation time is determined as the product of the average operation time and the time deviation coefficient; and the threshold for final operation progress is determined as the product of the average final operation progress and the progress deviation coefficient. Among them, the number deviation coefficient is selected in the interval [1.2, 1.4], preferably 1.2 in implementation; the time deviation coefficient is selected in the interval [1.25, 1.35], preferably 1.25 in implementation; and the progress deviation coefficient is selected in the interval [1.2, 1.3], preferably 1.2 in implementation.

[0045] Specifically, this invention focuses on the driving effect of high-traffic exhibition areas on subsequent interactive exhibition areas. It quantifies the traffic-driving value of high-traffic exhibition areas by measuring the number of people who interact and convert in the interactive exhibition areas that follow the high-traffic areas; that is, whether high popularity can truly translate into visitors' willingness to participate in subsequent related interactive content. In addition to focusing on whether participation is achieved, the depth of interaction among those who interact is measured. Specifically, the duration of interaction with exhibits reflects their sustained attention and level of engagement, quantifying their participation and interest retention. Longer interaction times indicate a higher degree of alignment between the interactive format, theme, and the interests of those who interact, suggesting a willingness to actively invest time in exploration rather than superficial "try and give up" participation. For example, children spend significantly more time interacting with "hands-on building" exhibits than with purely observational exhibits, indicating that this type of interaction is more aligned with children's interests. Furthermore, the core objective of interactive science exhibits is to convey specific knowledge or skills, such as physical principles and experimental logic, through hands-on activities. The closer the completion rate of the activity is to 100%, the better the participants understand the interactive logic of the exhibit and gradually grasp the underlying scientific knowledge. The final completion rate quantifies the conversion effect of the interactive format in knowledge transfer. Moreover, the longer and more complete the participants' activities in the interactive exhibit area, the higher their immersion level, indirectly confirming the quality of traffic generation in the traffic-generating area—that is, attracting users with genuine needs for science content, rather than simply "passing by." Therefore, this invention calculates the conversion performance value for traffic-generating exhibits to quantify their "traffic generation value" and "conversion capability," clarifying whether high-traffic exhibits truly engage visitors deeply in the interaction, thus characterizing the degree of matching between the traffic generation and conversion capabilities of the exhibits, providing data support for subsequent determination of whether conversion quality benchmarks are met. This invention ensures that the "high popularity" of the traffic exhibition area can be effectively transmitted to the subsequent interactive exhibition area by screening high-value paths and quantifying conversion effects, forming a virtuous cycle of "traffic-conversion-deep participation" and improving the overall quality of visitor participation and knowledge transfer efficiency of science popularization exhibitions.

[0046] Specifically, please refer to Figure 2 As shown, this is a logic diagram for determining whether the conversion quality benchmark is met according to an embodiment of the present invention. The traffic evaluation module is used to determine whether the conversion quality benchmark is met, including: If the conversion performance index of the traffic display area is greater than or equal to the conversion performance index threshold, it is determined that the conversion quality benchmark is met. If the conversion performance index for the traffic display area is less than the conversion performance index threshold, it is determined that the conversion quality benchmark is not met.

[0047] The effect conversion representation threshold is predetermined. It is determined by calculating the effect conversion representation value when the number of interactive conversion personnel in the interactive exhibition area ranked after the traffic exhibition area is equal to the threshold for the number of interactive conversion personnel, the operation time for the exhibit is equal to the threshold for the operation time, and the final operation progress is equal to the threshold for the final operation progress.

[0048] Specifically, please refer to Figure 3 As shown, it is a logic decision diagram for sending a questionnaire to visitors in an embodiment of the present invention. If the result of the traffic evaluation module is satisfied with the conversion quality benchmark, the effect feedback module will send a questionnaire to the visitors to evaluate and analyze the popular science quality of the traffic exhibition area.

[0049] Specifically, the effect feedback module is used to evaluate the science popularization effectiveness of the traffic exhibition area, including: The sum of the ratio of the accuracy rate of problem retesting to the threshold of problem retesting and the ratio of the browsing time of attachments to the browsing time threshold is used as the first feature of popular science effectiveness. The ratio of the percentage of questionnaires submitted within the predetermined feedback period to the percentage threshold of the number of submissions is used as the second characteristic of the effectiveness of popular science. The weighted summation of the first and second science popularization effectiveness features is used to determine the science popularization effectiveness characterization value.

[0050] Specifically, the purpose of evaluating the effectiveness of science popularization is to quantify the "degree of achievement of the core value of science popularization" in the exhibition area, that is, whether the exhibition area has achieved the core goal of "transmitting knowledge and stimulating interest," which is the key difference between science popularization exhibitions and ordinary exhibitions. Therefore, when allocating weights, priority should be given to "value realization" rather than "the breadth of feedback participation." Quantifying the "solidity of knowledge transmission" through the accuracy rate of question retesting is a direct reflection of the core goal of science popularization. The higher the accuracy rate, the more it indicates that visitors have truly understood and mastered the core knowledge points through the science popularization exhibition area. Quantifying the "depth of interest stimulation" for visitors through the duration of browsing attachments is a reflection of the advanced goals of science popularization. Extended knowledge, science popularization videos, and other attachments are extensions of the basic content. The longer the browsing time, the more it indicates that the science popularization exhibition area has successfully stimulated visitors' willingness to actively explore, realizing the transformation from "passive reception" to "active learning," and reflecting the long-term value of science popularization. The core function of the questionnaire submission ratio is to ensure the reliability of the feedback data sample, rather than directly reflecting the effectiveness of science popularization. A high submission ratio indicates that the feedback data covers the majority of core visitors, such as those who have completed effective visits and interactions, avoiding evaluation bias caused by insufficient samples. However, it cannot reflect whether visitors have learned anything or developed an interest. Therefore, the first science popularization effectiveness characteristic, calculated based on feedback intention characteristics (i.e., the accuracy rate of question retesting and the time spent browsing attachments), is given a higher weighting coefficient, set at 0.6. Correspondingly, the weighting coefficient for the second science popularization effectiveness characteristic, calculated based on the submission ratio of questionnaires within the predetermined feedback time, is set at 0.4.

[0051] In this embodiment, the purpose of setting thresholds for the accuracy rate of question retesting, browsing time, and the percentage of submissions is to characterize situations where the knowledge transmission quality of the science popularization exhibition area is high and it has a high effect on stimulating the interest of visitors. By acquiring visitor interaction data for several historical predetermined time periods in the science popularization exhibition area, and by calling historical data on the accuracy rate of question retesting for the questionnaire, historical data on browsing time for the corresponding attachments, and historical data on the percentage of questionnaire submissions within the predetermined feedback period, the mean accuracy rate of question retesting, the mean browsing time, and the mean percentage of submissions are calculated and used as benchmark values ​​under normal circumstances. Based on the purpose of setting the above three thresholds, the question retesting accuracy threshold is determined as the product of the mean accuracy rate of question retesting and the retesting deviation coefficient; the browsing time threshold is determined as the product of the mean browsing time and the browsing deviation coefficient; and the submission percentage threshold is determined as the product of the mean percentage of submissions and the submission deviation coefficient. Specifically, the retesting deviation coefficient is selected within the interval [1.1, 1.3], preferably 1.1 in practice; the browsing deviation coefficient is selected within the interval [1.2, 1.3], preferably 1.2 in practice; and the submission deviation coefficient is selected within the interval [1.2, 1.4], preferably 1.2 in practice.

[0052] Understandably, to balance the quality of questionnaire feedback with the convenience of completion for visitors, a three-day feedback period can be set during implementation. Firstly, this duration aligns with visitors' memory cycles and feedback intention patterns. Within three days of their visit, visitors retain a clear memory of the details and interactive experiences of the science exhibits, ensuring the authenticity and completeness of their feedback and preventing memory fading and distorted feedback due to excessive time. Secondly, the three-day period effectively covers most visitors, such as families with children, students, and working professionals, utilizing their spare time, such as evenings or weekends, lowering the barrier to completion and ensuring the number of submissions and the representativeness of the sample. Further details are omitted here.

[0053] Specifically, this invention focuses the questionnaire distribution on core visitors who have been attracted by the traffic-generating exhibition area and have actively participated in subsequent interactive exhibition areas. These visitors have genuine contact with and experience of the content in the traffic-generating exhibition area, resulting in more targeted feedback and ensuring the quality of the feedback data. Simultaneously, to ensure the representativeness of the questionnaire feedback and guarantee visitor acceptance, this invention quantifies the feedback by measuring the percentage of questionnaires submitted within a predetermined feedback period. A higher percentage of submissions indicates that the feedback more comprehensively covers the experiences of most core users, avoiding evaluation bias due to insufficient sample size. Furthermore, it indirectly confirms visitors' positive feelings towards the traffic-generating exhibition area. For example, visitors who are satisfied with the science popularization exhibition area are more willing to participate in subsequent feedback, resulting in a correspondingly higher submission rate. The effectiveness of science popularization is evaluated based on the questionnaire feedback. Through objective question retesting, the invention accurately measures whether the content of the traffic-generating exhibition area has truly been understood and remembered by visitors, avoiding inflated results where visitors found it interesting but did not learn anything. The accuracy rate of the question retesting reflects the degree of absorption and mastery of the science popularization knowledge by visitors, quantifying the actual effect of science popularization knowledge delivery. Furthermore, the questionnaire appendix, as a supplementary extension to the popular science content, incorporates the visitor's browsing time, quantifying the depth of visitor interest in the exhibition area's themes and their willingness to actively explore. Longer browsing time indicates that visitors are not only satisfied with the basic knowledge within the exhibition area but are also willing to actively acquire more related content, reflecting that the popular science exhibition area has successfully stimulated visitors' interest in popular science, achieving a progression from "passive reception" to "active exploration." Therefore, this invention evaluates the popular science effectiveness representation value of popular science exhibition areas to characterize the quality of knowledge delivery and the effectiveness of stimulating visitor interest, providing data support for subsequently determining the popular science quality level of popular science exhibition areas. This invention enhances the effectiveness of popular science knowledge delivery while improving the overall visiting efficiency and user experience of popular science exhibitions.

[0054] Specifically, the effect feedback module is used to determine the science popularization quality level of the traffic exhibition area, including: Pre-set the correspondence between the science popularization quality level and the predetermined science popularization effectiveness representation value range; Determine the range of science popularization effectiveness representation values ​​to which the corresponding science popularization effectiveness representation values ​​for the traffic exhibition area belong; Set the science popularization quality level corresponding to the science popularization effectiveness characterization value range as the science popularization quality level of the traffic exhibition area; Among them, the science popularization quality level and the science popularization effectiveness representation value range correspond one-to-one.

[0055] In this embodiment, the science popularization quality level of the traffic exhibition area is determined according to the following methods: The effectiveness of science popularization is divided into three preset intervals, and three levels of science popularization quality are set. If the science popularization effectiveness representation value corresponding to the traffic exhibition area is within the first preset range (0, C0), then the first science popularization quality level 1 is set; If the science popularization effectiveness representation value corresponding to the traffic exhibition area is within the second preset interval [C0, 1.3C0), then the second science popularization quality level 2 is set; If the science popularization effectiveness representation value corresponding to the traffic exhibition area is within the third preset range (1.3C0, +∞), then the third science popularization quality level 3 is set.

[0056] The threshold C0 for representing the effectiveness of popular science is predetermined. It is determined by calculating the popular science effectiveness representation value when the accuracy rate of question retesting is equal to the threshold for question retesting accuracy, the browsing time of attachments is equal to the threshold for browsing time, and the proportion of questionnaires submitted within the predetermined feedback time is equal to the threshold for the proportion of submissions.

[0057] Specifically, setting different science popularization quality levels can intuitively reflect the differences in science popularization quality among science popularization exhibition areas. For example, high-level exhibition areas do not need major adjustments, while low-level exhibition areas need to be optimized. This helps operators quickly identify core problems, such as insufficient knowledge delivery or unattractive interactive formats, and then allocate resources, such as content upgrades and exhibit maintenance, reasonably to avoid blind optimization.

[0058] Specifically, please refer to Figure 4 As shown, this is a logic diagram for determining whether to adjust the recommended visitor route according to an embodiment of the present invention. The recommendation adjustment module is used to determine whether to adjust the recommended visitor route based on the wind direction heat characterization value, including: If the wind direction heat index value is greater than or equal to the wind direction heat index threshold, it is determined that the recommended visit route will be adjusted. If the wind direction heat index value is less than the wind direction heat index threshold, it is determined that there is no need to adjust the recommended visit route.

[0059] The recommended visit route is determined based on the sequential order of several exhibition areas along the spatial path and the corresponding wind direction and heat intensity values.

[0060] The wind direction heat characterization threshold is predetermined. It is determined by calculating the wind direction heat characterization value when the average visit duration of visitors is equal to the average visit duration threshold, the average browsing time of exhibit explanation boards is equal to the average browsing time threshold, and the percentage of visitors who visit the science popularization exhibition area first is equal to the percentage of visitors threshold.

[0061] Specifically, in practice, science museums provide visitors with recommended routes to choose from. The recommendation adjustment module prioritizes high-traffic areas based on the popularity index of each exhibition area, while optimizing route planning based on the spatial layout of the exhibition areas. This satisfies visitors' needs for popular content while reducing unnecessary detours, improving visitor efficiency and achieving a balance between "user interest" and "visiting experience." Furthermore, by balancing "spatial rationality" and "popularity adaptability," this module prevents a decline in visitor experience due to improper route planning, ensuring that recommended routes align with visitor interests and preferences, further enhancing visitor efficiency and satisfaction. In addition, it can dynamically adapt recommended routes to changes in exhibition area popularity; for example, it promptly includes areas with increasing popularity in the recommendations and lowers the ranking of areas with decreasing popularity, effectively avoiding the poor experience caused by rigid visitor routes.

[0062] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A user intent recognition system for popular science demonstrations, characterized in that, include: The path extraction module is used to determine several visitor paths based on a predetermined time period and extract visitor status features corresponding to several science popularization exhibition areas. The visitor status features include the average visit duration and the average browsing time of the exhibit explanation signs. The visitor analysis module is used to combine the visitor status characteristics and the percentage of visitors who prioritize the science popularization exhibition area to analyze the wind direction heat characterization value of the science popularization exhibition area in order to determine the traffic exhibition area. The traffic evaluation module is used to filter a predetermined number of traffic visit paths, identify the number of interactive conversion personnel in the interactive exhibition area that is ranked after the traffic exhibition area in the traffic visit path, and calculate the effect conversion characterization value for the traffic exhibition area in combination with the operation characteristics of the visitors on the exhibits in the interactive exhibition area, so as to determine whether the conversion quality benchmark is met. The effect feedback module, in response to the judgment result of the traffic assessment module, sends a questionnaire to visitors to evaluate and analyze the popular science quality of the traffic exhibition area, including: Based on the feedback intention characteristics of the questionnaire, and combined with the proportion of questionnaires submitted within the predetermined feedback time, the popular science effectiveness characterization value of the traffic exhibition area is evaluated, and the popular science quality level of the traffic exhibition area is determined. The recommended adjustment module is used to determine whether to adjust the recommended visit route based on the wind direction heat characterization value; The exhibit operation characteristics include the operation time and final operation progress of the exhibit, and the feedback intention characteristics include the accuracy rate of problem retesting and the browsing time of attachments.

2. The user intent recognition system for popular science display according to claim 1, characterized in that, The visitor analysis module is used to analyze the wind direction and heat signature values ​​of the science exhibition area, including: The sum of the ratio of the average visit duration to the average visit duration threshold and the ratio of the average viewing time of the exhibit information plaques to the average viewing time threshold is used as the first wind direction heat feature. The ratio of the percentage of visitors who prioritize the science popularization exhibition area to the threshold percentage of visitors is used as the second trend heat characteristic. The weighted sum of the first wind direction thermal characteristic and the second wind direction thermal characteristic is used to determine the wind direction thermal characterization value.

3. The user intent recognition system for popular science display according to claim 2, characterized in that, The visitor analysis module is used to determine the traffic flow of exhibition areas, including: This is used to sort several science popularization exhibition areas in descending order based on wind direction and thermal characterization values; The science popularization exhibition area, which is located at the top, is used as the traffic exhibition area.

4. The user intent recognition system for popular science display according to claim 1, characterized in that, The traffic assessment module is used to filter a predetermined number of visitor paths, including: Used to invoke several visitor paths that include traffic exhibition areas within a predetermined time period, and to obtain the number of times each visitor path is used and the degree of use; The ratio of the number of uses to the number of uses threshold and the ratio of the usage completeness to the usage completeness threshold are used as the path traffic value of the corresponding visitor path; This is used to sort each visitor path in descending order based on the path traffic value, and to select a predetermined number of visitor paths as the traffic visitor paths in sequence.

5. The user intent recognition system for popular science display according to claim 1, characterized in that, The traffic evaluation module is used to calculate the conversion performance value for the traffic display area, including: The ratio of the number of interactive conversions in the interactive exhibition area ranked after the traffic exhibition area to the threshold of the number of interactive conversions is used as the first effect conversion feature; The sum of the ratio of the operation time to the operation time threshold and the ratio of the final operation progress to the final operation progress threshold is used as the second effect conversion feature. The first effect conversion feature and the second effect conversion feature are weighted and summed to determine the effect conversion characterization value.

6. The user intent recognition system for popular science display according to claim 5, characterized in that, The traffic evaluation module is used to determine whether the conversion quality benchmark is met, including: If the conversion performance index for the traffic display area is greater than or equal to the conversion performance index threshold, then the conversion quality benchmark is met.

7. The user intent recognition system for popular science display according to claim 6, characterized in that, If the effect feedback module responds to the traffic evaluation module's determination that the conversion quality benchmark is met, it sends a questionnaire to the visitors to evaluate and analyze the science popularization quality of the traffic exhibition area.

8. The user intent recognition system for popular science display according to claim 1, characterized in that, The effect feedback module is used to evaluate the science popularization effectiveness of the traffic exhibition area, including: The sum of the ratio of the accuracy rate of problem retesting to the threshold of problem retesting and the ratio of the browsing time of attachments to the browsing time threshold is used as the first feature of popular science effectiveness. The ratio of the percentage of questionnaires submitted within the predetermined feedback period to the percentage threshold of the number of submissions is used as the second characteristic of the effectiveness of popular science. The weighted summation of the first and second science popularization effectiveness features is used to determine the science popularization effectiveness characterization value.

9. The user intent recognition system for popular science display according to claim 8, characterized in that, The effect feedback module is used to determine the science popularization quality level of the traffic exhibition area, including: Pre-set the correspondence between the science popularization quality level and the predetermined science popularization effectiveness representation value range; Determine the range of science popularization effectiveness representation values ​​to which the corresponding science popularization effectiveness representation values ​​for the traffic exhibition area belong; Set the science popularization quality level corresponding to the science popularization effectiveness characterization value range as the science popularization quality level of the traffic exhibition area; Among them, the science popularization quality level and the science popularization effectiveness representation value range correspond one-to-one.

10. The user intent recognition system for popular science display according to claim 2, characterized in that, The recommended adjustment module is used to determine whether to adjust the recommended visitor route based on the wind direction and heat characterization value, including: If the wind direction heat index value is greater than or equal to the wind direction heat index threshold, it is determined that the recommended visit route will be adjusted. The recommended visit route is determined based on the sequential order of several exhibition areas along the spatial path and the corresponding wind direction and heat intensity values.

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