Exhibition booth interaction method and system, storage medium and electronic equipment

Abstract

The invention relates to an exhibition stand interaction method and system, a storage medium and electronic equipment, and relates to the technical field of exhibition management, and the method comprises the steps: obtaining a target portrait corresponding to a target exhibition participant; on the basis of the target portrait, key exhibition stands which are easy to select by exhibitors in the exhibition and at least one corresponding key portrait, an exhibition recommendation path corresponding to the target exhibitors is determined, and the key portraits are portraits of visitors who are easy to select to visit the single key exhibition stands; the exhibition recommendation path relates to at least one recommendation exhibition stand which is easily interested by the target exhibition participant; and adjusting and optimizing the exhibition recommendation path to obtain a final recommendation path, and sending the final recommendation path to a terminal of the target exhibition participant. The method has the effect of improving the exhibition viewing experience of the exhibition participants.

Description

Technical Field

[0001] The present application relates to the technical field of exhibition management, and in particular to an exhibition booth interaction method, system, storage medium, and electronic device. Background Art

[0002] With the prosperity of various industries and the intensification of market competition, companies' demand for showcasing their strengths and promoting their products and services continues to grow, driving a continuous increase in the number of exhibitions. According to incomplete statistics, tens of thousands of exhibitions of various types are held worldwide each year, covering nearly every industry sector, including automotive, electronics, medical, and food. At the same time, the scale of exhibitions is constantly expanding, and the flow of visitors is also increasing. There is an urgent need for an effective way to guide exhibitors and ensure they have a better experience.

[0003] Currently, the most common method for guiding exhibitors through exhibitions is to use generic static guide maps. However, since different exhibitors have different interests and viewing needs, this method cannot effectively meet the personalized viewing needs of exhibitors, resulting in a poor viewing experience. Summary of the Invention

[0004] In order to improve the exhibition viewing experience of exhibitors, this application provides an exhibition booth interaction method, system, storage medium and electronic device.

[0005] In a first aspect of the present application, a method for interactive exhibition booths is provided, specifically comprising: Obtain the target portrait corresponding to the target exhibitors; Determining a recommended exhibition path corresponding to the target exhibitor based on the target portrait, a key booth that exhibitors are likely to choose to visit, and at least one corresponding key portrait, wherein the key portrait is a portrait of a visitor who is likely to choose to visit a single key booth, and the recommended exhibition path involves at least one recommended booth that the target exhibitor is likely to be interested in; The recommended exhibition path is adjusted and optimized to obtain a final recommended path, and the final recommended path is sent to the terminal of the target exhibitor.

[0006] By adopting the above technical solution, after obtaining the target profile of the target exhibitor, based on the key booths in the exhibition and the corresponding key profiles, the booths that the target exhibitor is likely to be interested in based on the target profile are analyzed, and then recommended booths of interest are determined. Then, based on each recommended booth, a recommended exhibition path that is more closely aligned with the target exhibitor's viewing needs is determined. The recommended exhibition path is then adjusted and optimized to obtain the final recommended path, thereby further improving the recommended visiting path's fit with the target exhibitor's viewing needs. Finally, this final recommended path is sent to the target exhibitor's terminal, guiding the target exhibitor to participate in the exhibition in a targeted manner and improving the exhibition viewing experience.

[0007] Optionally, determining a recommended exhibition route corresponding to the target exhibitor based on the target portrait, a key booth that the exhibitor is likely to choose to visit, and at least one corresponding key portrait specifically includes: Obtaining the historical number of visitors to each booth in the exhibition, and selecting the booth with the largest number of visitors from the booths in descending order as the key booth; Obtaining historical portraits of historical visitors to the single key booth, counting the number of appearances of each of the historical portraits, and selecting a second number of historical portraits from the historical portraits in descending order of the number of appearances as key portraits corresponding to the single key booth; Determine a first weight for each key booth and a second weight for the key portrait corresponding to each key booth, wherein the first weight is the ratio of the historical number of visitors to each key booth to the sum of the historical number of visitors to all key booths, and the second weight is the ratio of the number of appearances of a single key portrait corresponding to the key booth to the sum of the number of appearances of all corresponding key portraits; Based on the target portrait, the first weight, and the second weight, a recommended exhibition path corresponding to the target exhibitor is determined.

[0008] By employing this technical solution, exhibitors are more likely to choose a booth with a higher number of historical visitors, thereby identifying key booths. Similarly, visitors with a higher number of appearances are more likely to visit the booth, thereby identifying key profiles. Finally, combining the first and second weights, we analyze and determine the booths that the target exhibitors are interested in based on the target profile. This allows us to determine recommended exhibition paths that best align with their needs, guiding them towards a more targeted visit.

[0009] Optionally, determining a recommended exhibition path corresponding to the target exhibitor based on the target profile, the first weight, and the second weight specifically includes: If the target portrait exists in each key portrait corresponding to the key booth, the corresponding key booth is determined as an important booth; Calculating a first product of a first weight of each important booth and a second weight of a corresponding target portrait; comparing the first product with a preset first threshold, and if the first product exceeds the first threshold, determining the corresponding important booth as a recommended booth; determining a visiting order of the corresponding recommended booths according to the first product, wherein the larger the first product is, the higher the visiting order of the corresponding recommended booth is; According to each of the recommended booths and the corresponding visiting sequence, a recommended exhibition path corresponding to the target exhibitor is determined.

[0010] By adopting the above technical solution, the larger the first product, the more likely the target exhibitor will be interested in the corresponding important booth when attending the exhibition. If the first product exceeds the first threshold, it indicates that the target exhibitor is likely to be interested in the corresponding important booth when attending the exhibition, and the important booth is then determined as a recommended booth. Furthermore, based on the first product, the visiting order of the corresponding recommended booth is determined. The larger the first product, the higher the visiting order of the corresponding recommended booth, and the more preferentially it is recommended to the target exhibitor for visiting, thereby providing the target exhibitor with a better exhibition viewing experience. Finally, based on each recommended booth and the corresponding visiting order, a recommended exhibition path is determined, thereby providing the target exhibitor with a better exhibition viewing experience.

[0011] Optionally, adjusting and optimizing the recommended exhibition path to obtain a final recommended path specifically includes: The first products corresponding to the important booths in the same exhibition area are summed to obtain the sum of the first products; Determine a product correction coefficient for the corresponding exhibition area according to the sum of the first products, wherein the larger the sum of the first products, the larger the corresponding product correction coefficient, and the product correction coefficient is a positive number not less than 1; Multiplying the first product corresponding to the recommended booth by the product correction coefficient corresponding to the exhibition area to which it belongs to obtain a corrected product; According to the corrected product, the optimal visiting order of the corresponding recommended booths is determined, wherein the larger the corrected product is, the higher the corresponding optimal visiting order is; According to each of the recommended booths and the corresponding optimal visiting sequence, a final recommended path corresponding to the target exhibitor is determined.

[0012] By employing this technical solution, the larger the sum of the first products, the more interested the target exhibitor is in visiting the corresponding exhibition area and the larger the corresponding product correction coefficient. The first product corresponding to the recommended booth is multiplied by the product correction coefficient corresponding to the exhibition area to obtain a corrected product, which more accurately reflects the target exhibitor's interest in the recommended booth. Finally, based on the corrected product, the final visiting order of each recommended booth is more reasonably determined, ensuring that the final recommended path is more closely aligned with the target exhibitor's viewing needs.

[0013] Optionally, adjusting and optimizing the recommended exhibition path to obtain a final recommended path specifically includes: Determining an estimated arrival time of the target exhibitor at a target recommended booth based on the recommended exhibition route and the current location of the target exhibitor, wherein the target recommended booth is the recommended booth that the target exhibitor is about to visit; Obtain historical booths at the exhibition where visitor congestion occurred, count the number of first appearances of each of the historical booths, sort the booths in descending order of the number of first appearances, and select a third number of historical booths from the historical booths as target booths; Obtaining historical time periods during which visitor congestion occurred at a single target booth, counting the second occurrence counts for each historical time period, and selecting a fourth number of historical time periods from each historical time period in descending order of the second occurrence counts as target time periods corresponding to the single target booth; Determining a third weight for each target booth and a fourth weight for the target time period corresponding to each target booth, wherein the third weight is the ratio of the first number of occurrences of each target booth to the sum of the first number of occurrences of all target booths, and the fourth weight is the ratio of the second number of occurrences of a single target time period corresponding to the target booth to the sum of the second number of occurrences of all corresponding target time periods; The recommended exhibition route is adjusted and optimized according to the estimated arrival time, the third weight, and the fourth weight to obtain a final recommended route.

[0014] By adopting the above technical solution, the greater the number of first occurrences, the more likely the corresponding historical booth is to be congested, and the target booth is determined; the greater the number of second occurrences, the more likely the target booth is to be congested in the corresponding historical period, and the target period is determined. Finally, combined with the third weight and the fourth weight, the possibility of congestion when the target exhibitors arrive at the target recommended booth is analyzed, and the recommended exhibition path is optimized accordingly, thereby improving the exhibition experience of the target exhibitors.

[0015] Optionally, adjusting and optimizing the recommended exhibition route according to the estimated arrival time, the third weight, and the fourth weight to obtain a final recommended route specifically includes: When the target recommended booth is the target booth, if there is an important time period among the target time periods corresponding to the target recommended booth, then calculating a second product of the third weight of the target recommended booth and the fourth weight of the corresponding important time period, where the important time period is the target time period including the estimated arrival time; If the second product exceeds a preset second threshold, then when the target portrait exists in each key portrait corresponding to the key booth, the corresponding key booth is determined as an important booth; Determine important booths within a preset distance range of the target recommended booth as booths to be selected, and calculate a third product of the first weight of each booth to be selected and the second weight of the corresponding target portrait; Summing the third products to obtain a sum of the second products, and if the sum of the second products exceeds a preset third threshold, determining the recommended exhibition path as a final recommended path; If the sum of the second products does not exceed the third threshold, the recommended exhibition path is adjusted and optimized to obtain a final recommended path.

[0016] By adopting the above technical solution, if the second product exceeds the preset second threshold, it means that the target exhibitor is likely to encounter crowds when arriving at the target recommended booth, which has a significant impact on the target exhibitor's experience of visiting the target recommended booth. Furthermore, if the sum of the second products exceeds the preset third threshold, it means that there is a high overall probability that there is a booth of interest to the target exhibitor within the preset distance range of the target recommended booth. Once the target exhibitor arrives at the target recommended booth and encounters crowds, he or she can find a booth of interest within the preset distance range for a temporary visit, thereby making a brief transition and avoiding the congestion at the target recommended booth. After the congestion is alleviated, he or she can quickly return to visit the booth, which has a minimal impact on the visiting experience. In this case, the recommended exhibition path remains unchanged and is directly determined as the final recommended path.

[0017] Optionally, if the sum of the second products does not exceed the third threshold, adjusting and optimizing the recommended exhibition path to obtain a final recommended path specifically includes: Determining an estimated arrival time of each reference recommended booth after the target exhibitor arrives at the target recommended booth; When each of the reference recommended booths is the target booth, calculating a fourth product of the third weight of the reference recommended booth and the fourth weight of the corresponding key time period, where the key time period is the target time period including the estimated arrival time of the corresponding reference recommended booth; Selecting a minimum fourth product from the fourth products, and determining the reference recommended booth corresponding to the minimum fourth product as the final recommended booth; Determine the final visiting order of the final recommended booth as the initial visiting order of the target recommended booth, determine the final visiting order of the target recommended booth as the next visiting order of the final recommended booth, and determine the final visiting order of the remaining recommended booths as the visiting order that is one position later than the corresponding initial visiting order, where the initial visiting order is the visiting order of the recommended booths in the exhibition recommendation path, and the remaining recommended booths are the recommended booths in the exhibition recommendation path except the target recommended booth and the final recommended booth; Based on the final visiting sequences, a final recommended route for the target exhibitors is determined.

[0018] By employing this technical solution, the larger the fourth product, the greater the likelihood of congestion when the target exhibitor arrives at the reference recommended booth. Furthermore, the reference recommended booth corresponding to the smallest fourth product is determined as the final recommended booth—that is, the reference recommended booth with the lowest likelihood of congestion when the target exhibitor arrives. Finally, the final visiting order of the final recommended booth is determined as the initial visiting order of the target recommended booth, and the final visiting order of the target recommended booth is determined as the next visiting order of the final recommended booth, thereby reducing congestion at the booth that the target exhibitor is about to visit.

[0019] In a second aspect of the present application, an exhibition booth interactive system is provided, specifically comprising: A portrait acquisition module is used to obtain the target portrait corresponding to the target exhibitor; a path determination module for determining a recommended exhibition path corresponding to the target exhibitor based on the target portrait, a key booth that the exhibitor is likely to choose to visit at the exhibition, and at least one corresponding key portrait, wherein the key portrait is a portrait of a visitor who is likely to choose to visit a single key booth, and the recommended exhibition path involves at least one recommended booth that the target exhibitor is likely to be interested in; The path recommendation module is used to adjust and optimize the recommended exhibition path to obtain a final recommended path, and send the final recommended path to the terminal of the target exhibitor.

[0020] By adopting the above technical solution, after the portrait acquisition module obtains the target portrait corresponding to the target exhibitor, the path determination module determines the recommended exhibition path corresponding to the target exhibitor. Finally, the path recommendation module adjusts and optimizes the recommended exhibition path to obtain the final recommended path, and sends this final recommended path to the terminal of the target exhibitor.

[0021] In a third aspect of the present application, a computer-readable storage medium is provided, in which a computer program is stored. When the computer program is loaded and executed by a processor, the method steps as described in any one of the first aspects are performed.

[0022] In a fourth aspect of the present application, an electronic device is provided, specifically comprising: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the processor is used to load and execute the computer program stored in the memory so that the electronic device performs the method as described in any one of the first aspects.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: after obtaining the target portrait of the target exhibitor, based on the key booths in the exhibition and the corresponding key portraits, analyze the booths that the target exhibitors are likely to be interested in under the premise of the target portrait, and then determine the recommended booths that the target exhibitors are interested in, and then determine the recommended exhibition paths that are more in line with the target exhibitors' viewing needs based on each recommended booth. The recommended exhibition paths are then adjusted and optimized to obtain the final recommended path, thereby further improving the fit between the recommended visiting paths and the target exhibitors' viewing needs. Finally, this final recommended path is sent to the terminal of the target exhibitor, guiding the target exhibitors to participate in the exhibition in a targeted manner and improving the exhibition experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a flow chart of an exhibition booth interaction method provided by an embodiment of the present application; Figure 2 This is a structural diagram of an exhibition booth interactive system provided in an embodiment of the present application.

[0025] Explanation of the accompanying drawings: 11. Portrait acquisition module; 12. Path determination module; 13. Path recommendation module. DETAILED DESCRIPTION

[0026] In order to enable people skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0027] In the description of the embodiments of this application, words such as "exemplarily," "for example," or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplarily," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplarily," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0028] In the description of the embodiments of the present application, the term "and / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, B exists alone, and A and B exist at the same time. In addition, unless otherwise specified, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] See also Figure 1 The present application discloses a flowchart of a method for interactive booths at an exhibition. This method can be implemented using a computer program or run on an interactive booth system based on the von Neumann architecture. The computer program can be integrated into an application or run as a standalone tool application, specifically including: S101: Obtain a target portrait corresponding to a target exhibitor.

[0030] Specifically, in this embodiment of the present application, the target exhibitor is a person who is currently preparing to visit the exhibits at the exhibition. In other embodiments, the target exhibitor may also be a person currently visiting the exhibition. The target profile is a representative user model abstracted from the basic information of the target exhibitor. Basic information includes but is not limited to age, gender, and interests and hobbies.

[0031] Furthermore, the execution subject of the exhibition booth interaction method disclosed in the embodiment of the present application is a server, and the server is wirelessly connected to the terminal of the target exhibitor. The terminal can be a smart phone or a personal computer, and a client related to the exhibition guide is installed in the terminal. The server can be the background server of the client, which can be an independent physical server or a cluster composed of multiple physical servers. In addition, the implementation scenario of the exhibition booth interaction method in this application is: when the target exhibitor has a recommendation demand for an exhibition path within the exhibition, the client in the terminal sends relevant instructions for path recommendation to the server, and the server obtains the target portrait of this target exhibitor, and finally determines the exhibition path that is more suitable for this target exhibitor based on the target portrait.

[0032] Furthermore, a feasible way to obtain the target portrait is: under the premise of the target exhibitor's consent and authorization, based on the relevant instructions of the path recommendation sent by the client in the target exhibitor's terminal, the registration information corresponding to the target exhibitor is screened out from the database. The registration information includes but is not limited to the gender, age, hobbies and interests of the person registered in the client, and then the basic information of the target exhibitor is determined. Finally, this basic information is input into the preset portrait prediction model to obtain the target portrait. The portrait prediction model can be a trained recurrent neural network model or a trained random forest model. The training process can be briefly described as: the model is trained by the basic information of different historical exhibitors marked with correct portraits, and the parameters are adjusted by the reverse gradient algorithm until the model converges. This is a prior art and will not be described here.

[0033] S102: Determine a recommended exhibition path corresponding to the target exhibitor based on the target portrait, key booths that the exhibitors are likely to choose to visit at the exhibition, and at least one corresponding key portrait.

[0034] Specifically, the key profile is a profile of a visitor who is likely to choose to visit a single key booth, and the recommended exhibition path involves at least one recommended booth that the target exhibitor is likely to be interested in, that is, the recommended exhibition path passes through at least one recommended booth. Furthermore, the historical number of visitors to each booth in the exhibition is obtained, that is, the number of visitors from the beginning of the exhibition to the present. One feasible method for obtaining the historical number of visitors is to use a pre-set smart camera at each booth to monitor the image in front of the booth and the number of visitors in real time, retrieve the statistical record of the number of visitors stationed in front of the booth by the smart camera, and determine the historical number of visitors to the booth based on this statistical record. The greater the historical number of visitors, the more likely exhibitors at the exhibition are to choose the booth for visiting. In descending order of historical number of visitors, the booth with the largest number of visitors is selected from each booth to be determined as the key booth, that is, the booth that exhibitors are likely to visit. The statistical record includes but is not limited to the number of visitors at different times.

[0035] Furthermore, historical portraits of historical visitors to a single key booth are obtained, and the number of appearances of each historical portrait is counted. The greater the number of appearances, the more likely the visitor with the corresponding historical portrait is to visit the key booth. Then, in descending order of the number of appearances, a second number of historical portraits are selected from each historical portrait as the key portraits corresponding to the key booth, that is, the portraits of people who are likely to visit the key booth.

[0036] Furthermore, a first weight is determined for each key booth, and a second weight is determined for the key portrait corresponding to each key booth, wherein the first weight is the ratio of the historical number of visitors to each key booth to the sum of the historical number of visitors to all key booths. The second weight is the ratio of the number of appearances of a single key portrait corresponding to the key booth to the sum of the number of appearances of all corresponding key portraits. Finally, based on the target portrait of the target exhibitor, the first weight and the second weight, a recommended exhibition path suitable for the target exhibitor is determined. One achievable implementation method is: If a key booth's corresponding key portraits contain a target portrait, the corresponding key booth is identified as a key booth. The first product of each key booth's first weight and the second weight of its corresponding target portrait is calculated. The larger the first product, the more likely the target exhibitor will be interested in the corresponding key booth. The first product is then compared with a preset first threshold. If the first product exceeds the first threshold, it indicates that the target exhibitor is likely to be interested in the corresponding key booth, and the key booth is then identified as a recommended booth.

[0037] Furthermore, based on the first product, the order of visiting the corresponding recommended booths is determined. The larger the first product, the higher the visiting order of the corresponding recommended booth, and the more priority the target exhibitor is given to visit, thereby providing the target exhibitor with a better exhibition viewing experience. Finally, the location information of the target exhibitor is obtained through a preset GPS module, and combined with the location of each recommended booth and the corresponding visiting order, a preset navigation tool is used to determine the recommended exhibition path. This allows the target exhibitor to visit each recommended booth in a targeted manner based on the guidance of the recommended exhibition path and in the corresponding visiting order. The navigation tool can be an AutoNavi map tool.

[0038] In other embodiments, the distance between recommended booths is determined using a navigation tool. If the distance is greater than a preset distance threshold, indicating that the target exhibitor has moved a long distance from a single recommended booth to the next recommended booth, the corresponding two recommended booths are determined as booths on the planned route, and at least one movement path between the booth on the planned route and the next booth on the planned route is determined using the navigation tool. When an important booth exists in a single movement path, the product of the first weight of the important booth and the second weight of the corresponding target portrait is calculated, and the sum of the products corresponding to the movement path is calculated. The larger the sum of the products, the greater the overall probability that the target exhibitor will encounter the booth of interest on the movement path. Finally, the maximum sum of products is selected from the sums of all products, and the moving path corresponding to the maximum sum of products is determined as the final moving path from the booth on the planned route to the next booth on the planned route. Finally, the recommended path between the booth on the planned route and the next booth on the planned route is replaced with this final moving path. During the long-distance booth transfer process, target exhibitors can move according to this final moving path, and are likely to encounter booths of interest, thereby further improving the exhibition experience.

[0039] S103: Adjust and optimize the recommended exhibition path to obtain a final recommended path, and send the final recommended path to the terminal of the target exhibitor.

[0040] Specifically, after the recommended exhibition route is determined, it needs to be further adjusted and optimized to better align the route with the needs of the target exhibitors. One feasible adjustment and optimization method is to determine the exhibition zone to which key exhibitors belong based on the registration information of each booth at the exhibition. This registration information includes, but is not limited to, the exhibition zone to which the booth belongs and the booth location number. Next, the first products corresponding to each key booth in the same exhibition zone are summed to obtain the corresponding sum of the first products. Based on this sum of the first products, a product correction coefficient for the corresponding exhibition zone is determined. The larger the sum of the first products, the higher the target exhibitor's interest in visiting the corresponding exhibition zone, and the larger the corresponding product correction coefficient. The product correction coefficient is a positive number not less than 1. The first product corresponding to the recommended booth is multiplied by the product correction coefficient corresponding to the exhibition zone to obtain a corrected product, which more accurately reflects the target exhibitor's interest in the recommended booth. Furthermore, based on the corrected product, the optimal visiting order for the recommended booth is determined. The larger the corrected product, the higher the corresponding optimal visiting order. Finally, based on the recommended booths and their corresponding optimal visiting order, the tour route is replanned to obtain the final recommended route, thus optimizing the recommended exhibition route. Finally, this final recommended route is sent to the target exhibitor's terminal, making the exhibition guide more personalized and improving the exhibition experience.

[0041] In another embodiment, the current position of the target exhibitor is obtained, and the moving speed of the target exhibitor is obtained through a preset speed sensor. The current position and the position of the target recommended booth in the recommended exhibition path are combined to determine the estimated arrival time of the target exhibitor at the target recommended booth, wherein the target recommended booth is the recommended booth that the target exhibitor is about to visit.

[0042] Furthermore, based on the real-time statistics recorded by smart cameras at each booth, historical booths experiencing visitor congestion are obtained. This means booths where the number of visitors during historical visits exceeded a preset threshold. The first occurrence count of each historical booth is calculated. The larger the first occurrence count, the more likely the corresponding booth was to experience congestion. A third number of historical booths are selected from each historical booth, sorted by first occurrence count from highest to lowest, to determine target booths. This number is the frequency of occurrence of the same booth across all historical booths.

[0043] Furthermore, based on the statistical records corresponding to a single target booth, the historical time periods in which the number of visitors exceeded the threshold are determined. The second occurrence count for each historical time period is counted. The greater the second occurrence count, the more likely the target booth is to experience crowd congestion during the corresponding historical time period. A fourth number of historical time periods are selected from each historical time period, in descending order of the second occurrence count, to determine the target time period corresponding to the target booth, i.e., the time period likely to experience crowd congestion. The second occurrence count is the frequency of occurrence of the same historical time period across all historical time periods.

[0044] Furthermore, a third weight is determined for each target booth, and a fourth weight is determined for the target time period corresponding to each target booth. The third weight is the ratio of the first occurrence count of each target booth to the sum of the first occurrence counts of all target booths, and the fourth weight is the ratio of the second occurrence count of a single target time period corresponding to the target booth to the sum of the second occurrence counts of all corresponding target time periods. Finally, based on the estimated arrival time, the third weight, and the fourth weight, the recommended exhibition route is adjusted and optimized to obtain the final recommended route. One achievable implementation is as follows: When the target recommended booth is the target booth, if there is an important time period among the target time periods corresponding to the target recommended booth, then the second product of the third weight of the target recommended booth and the fourth weight of the corresponding important time period is calculated. The larger the second product, the greater the possibility that the target exhibitor will encounter congestion when arriving at the target recommended booth, wherein the important time period is the target time period that includes the estimated arrival time. Furthermore, if the second product exceeds a preset second threshold, it indicates that the target exhibitor is likely to encounter congestion when arriving at the target recommended booth, which has a significant impact on the target exhibitor's experience of visiting the target recommended booth. In this case, if a target portrait exists among the key portraits corresponding to the key booth, the corresponding key booth will be determined as an important booth.

[0045] Important booths within a preset distance range of the target recommended booth are identified as candidate booths. The preset distance range is a distance range that is convenient for personnel movement. Next, the third product of the first weight of each candidate booth and the second weight of the corresponding target profile is calculated. The larger the third product, the greater the likelihood that the target exhibitor will be interested in the corresponding candidate booth. The sum of the third products is summed to obtain the sum of the second products. If the sum of the second products exceeds a preset third threshold, it indicates that there is a high overall probability that a booth of interest to the target exhibitor exists within the preset distance range of the target recommended booth. If the target exhibitor encounters congestion upon reaching the target recommended booth, they can find a booth of interest within the preset distance range for a temporary visit, thereby making a brief transition and avoiding the congestion at the target recommended booth. Once the congestion eases, they can quickly return to continue their visit, which has a minimal impact on the visiting experience. The recommended exhibition path is then maintained unchanged and directly determined as the final recommended path.

[0046] If the sum of the second products does not exceed the third threshold, it means that the overall possibility of the presence of a booth that the target exhibitor is interested in within the preset distance range of the target recommended booth is small. Once the target exhibitor arrives at the target recommended booth and encounters congestion, the visiting experience is poor and the exhibition recommendation path needs to be adjusted and optimized. Then, the estimated arrival time of the target exhibitor is determined based on the current position of the target exhibitor and the position of each reference recommended booth after the target recommended booth. Among them, the reference recommended booth is the recommended booth in the exhibition recommendation path, and the initial visiting order is the visiting order of the recommended booths in the exhibition recommendation path. Furthermore, when each reference recommended booth is a target booth, the fourth product of the third weight of each reference recommended booth and the fourth weight of the corresponding key time period is calculated. The larger the fourth product, the greater the possibility of congestion when the target exhibitor arrives at the reference recommended booth. The key time period is the target time period that includes the estimated arrival time of the corresponding reference recommended booth. Then, the smallest fourth product is selected from each fourth product, and the reference recommended booth corresponding to the smallest fourth product is determined as the final recommended booth.

[0047] Furthermore, the final visiting order of the final recommended booth is determined as the initial visiting order of the target recommended booth, the final visiting order of the target recommended booth is determined as the next visiting order after the final recommended booth, and the final visiting order of the remaining recommended booths is determined as the visiting order one position after the corresponding initial visiting order. Finally, based on each final visiting order and the corresponding recommended booth, the final recommended route for the target exhibitor is re-determined, thereby reducing congestion at the booth the target exhibitor is about to visit. The remaining recommended booths are the recommended booths in the recommended route excluding the target recommended booth and the final recommended booth.

[0048] In another embodiment, for a single target booth, the nearest time period after the current time is selected from the corresponding target time periods, and the first weight product of the third weight of each target booth and the fourth weight of the corresponding time period is calculated. The larger the first weight product, the greater the possibility of congestion after the current time. The maximum first weight product is selected from the various first weight products, and the target booth corresponding to the maximum first weight product is determined as the booth that needs attention. Furthermore, when the booth that needs attention is a key booth, a person portrait of the real-time visitor is obtained. If the person portrait is not the key portrait corresponding to the booth that needs attention, the corresponding real-time visitor is determined as the first person. If the person portrait is the key portrait corresponding to the booth that needs attention, the corresponding person portrait is determined as the portrait that needs attention, and the second weight product of the first weight of the booth that needs attention and the second weight of the corresponding portrait that needs attention is calculated. If the second weight product does not exceed the first threshold, it means that the possibility of interest in the booth that needs attention is relatively small, and the corresponding real-time visitor is determined as the second person. Then, the total number of the first and second persons is counted through the preset smart camera. If the total number is greater than the preset threshold, it means that there are a large number of people who are less likely to be interested in the booth. In order to reduce the risk of subsequent congestion, a corresponding voice warning is issued to remind real-time visitors not to gather in groups to view the exhibition for a long time.

[0049] The implementation principle of the exhibition booth interaction method of the embodiment of the present application is as follows: after obtaining the target portrait of the target exhibitor, based on the key booths in the exhibition and the corresponding key portraits, analyze the booths that the target exhibitor is likely to be interested in under the premise of the target portrait, and then determine the recommended booths that the target exhibitor is interested in. Then, based on each recommended booth, determine the recommended exhibition path that is more in line with the target exhibitor's exhibition needs. Then, adjust and optimize the recommended exhibition path to obtain the final recommended path, thereby further improving the fit between the recommended visiting path and the target exhibitor's exhibition needs. Finally, this final recommended path is sent to the terminal of the target exhibitor, and the target exhibitor is guided to participate in the exhibition in a targeted manner, thereby improving the exhibition experience.

[0050] The following are system embodiments of the present application, which can be used to implement the method embodiments of the present application. For details not disclosed in the system embodiments of the present application, please refer to the method embodiments of the present application.

[0051] See Figure 2 , which is a schematic diagram of the structure of the exhibition booth interactive system provided in an embodiment of the present application. This exhibition booth interactive system can be implemented as all or part of the system through software, hardware, or a combination of both. The system includes a portrait acquisition module 11, a path determination module 12, and a path recommendation module 13.

[0052] A portrait acquisition module 11 is used to acquire a target portrait corresponding to a target exhibitor; a path determination module 12 for determining a recommended exhibition path corresponding to a target exhibitor based on a target profile, a key booth that exhibitors are likely to choose to visit at the exhibition, and at least one corresponding key profile, wherein the key profile is a profile of a visitor who is likely to choose to visit a single key booth, and the recommended exhibition path involves at least one recommended booth that the target exhibitor is likely to be interested in; The path recommendation module 13 is used to adjust and optimize the recommended exhibition path to obtain a final recommended path, and send the final recommended path to the terminal of the target exhibitor.

[0053] Optionally, the path determination module 12 is specifically configured to: Obtain the historical number of visitors to each booth in the exhibition, and select the booth with the largest number of visitors from each booth in descending order as the key booth; Obtain historical portraits of historical visitors to a single key booth, count the number of appearances of each historical portrait, and select a second number of historical portraits from the historical portraits in descending order of the number of appearances to determine them as key portraits corresponding to the single key booth; Determine the first weight of each key booth and the second weight of the key portrait corresponding to each key booth. The first weight is the ratio of the historical number of visitors to each key booth to the sum of the historical number of visitors to all key booths. The second weight is the ratio of the number of appearances of a single key portrait corresponding to the key booth to the sum of the number of appearances of all corresponding key portraits. Based on the target portrait, the first weight and the second weight, the recommended exhibition path corresponding to the target exhibitors is determined.

[0054] Optionally, the path determination module 12 is specifically configured to: If the target portrait exists in each key portrait corresponding to the key booth, the corresponding key booth will be determined as an important booth; Calculate the first product of the first weight of each important booth and the second weight of the corresponding target portrait; Comparing the first product with a preset first threshold, and if the first product exceeds the first threshold, determining the corresponding important booth as a recommended booth; According to the first product, the visiting order of the corresponding recommended booth is determined. The larger the first product, the higher the visiting order of the corresponding recommended booth. According to the recommended booths and the corresponding visiting order, the recommended exhibition path corresponding to the target exhibitors is determined.

[0055] Optionally, the path recommendation module 13 is specifically configured to: The first products corresponding to the important booths in the same exhibition area are summed to obtain the sum of the first products; Determine the product correction coefficient of the corresponding exhibition area based on the sum of the first products. The larger the sum of the first products, the larger the corresponding product correction coefficient. The product correction coefficient is a positive number not less than 1. Multiply the first product corresponding to the recommended booth by the product correction coefficient corresponding to the exhibition area to which it belongs to obtain a corrected product; According to the corrected product, the optimal visiting order of the corresponding recommended booths is determined. The larger the corrected product, the higher the corresponding optimal visiting order. Based on the recommended booths and the corresponding optimal visiting order, the final recommended path corresponding to the target exhibitors is determined.

[0056] Optionally, the path recommendation module 13 is further configured to: Determine the estimated arrival time of the target exhibitor at the target recommended booth based on the recommended exhibition route and the current location of the target exhibitor. The target recommended booth is the recommended booth that the target exhibitor is about to visit. Obtain historical booths where visitor congestion occurred during the exhibition, count the number of first appearances of each historical booth, sort the booths in descending order of first appearances, and select the third most historical booths from each historical booth as target booths; Obtain historical time periods during which visitor congestion occurred at a single target booth, count the number of second occurrences in each historical time period, and select a fourth number of historical time periods from each historical time period in descending order of the number of second occurrences as target time periods corresponding to the single target booth; Determine a third weight for each target booth and a fourth weight for the target time period corresponding to each target booth, where the third weight is the ratio of the first occurrence count of each target booth to the sum of the first occurrence counts of all target booths, and the fourth weight is the ratio of the second occurrence count of the target booth in a single target time period to the sum of the second occurrence counts of all corresponding target time periods; According to the estimated arrival time, the third weight and the fourth weight, the recommended exhibition route is adjusted and optimized to obtain the final recommended route.

[0057] Optionally, the path recommendation module 13 is further configured to: When the target recommended booth is the target booth, if there is an important time period among the target time periods corresponding to the target recommended booth, then the second product of the third weight of the target recommended booth and the fourth weight of the corresponding important time period is calculated, where the important time period is the target time period including the estimated arrival time; If the second product exceeds a preset second threshold, then when the target portrait exists in each key portrait corresponding to the key booth, the corresponding key booth is determined as an important booth; Determine important booths within a preset distance range of the target recommended booth as booths to be selected, and calculate the third product of the first weight of each booth to be selected and the second weight of the corresponding target portrait; The third products are summed to obtain the sum of the second products. If the sum of the second products exceeds a preset third threshold, the recommended exhibition path is determined as the final recommended path. If the sum of the second products does not exceed the third threshold, the recommended exhibition path is adjusted and optimized to obtain the final recommended path.

[0058] Optionally, the path recommendation module 13 is further configured to: Determine the estimated arrival time of each reference recommended booth after the target exhibitors arrive at the target recommended booth; When each reference recommended booth is a target booth, calculating a fourth product of the third weight of the reference recommended booth and the fourth weight of the corresponding key time period, where the key time period is the target time period including the estimated arrival time of the corresponding reference recommended booth; Selecting the smallest fourth product from each fourth product, and determining the reference recommended booth corresponding to the smallest fourth product as the final recommended booth; The final visiting order of the final recommended booth is determined as the initial visiting order of the target recommended booth, the final visiting order of the target recommended booth is determined as the next visiting order of the final recommended booth, and the final visiting order of the remaining recommended booths is determined as the visiting order of the corresponding initial visiting order one position later. The initial visiting order is the visiting order of the recommended booths in the exhibition recommendation path, and the remaining recommended booths are the recommended booths in the exhibition recommendation path except the target recommended booth and the final recommended booth; Based on the final visiting order, the final recommended route for the target exhibitors is determined.

[0059] It should be noted that the aforementioned embodiment of an interactive exhibition booth system, when implementing an interactive exhibition booth method, only illustrates the division of the aforementioned functional modules. In actual applications, the aforementioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the aforementioned embodiment of an interactive exhibition booth system and an embodiment of an interactive exhibition booth method are based on the same concept. The implementation process is detailed in the method embodiment and will not be repeated here.

[0060] An embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, an exhibition booth interaction method of the above embodiment is implemented.

[0061] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that computer-readable medium includes but is not limited to the above-mentioned components.

[0062] Among them, through this computer-readable storage medium, an exhibition booth interaction method of the above embodiment is stored in a computer-readable storage medium, and is loaded and executed on a processor to facilitate the storage and application of the above method.

[0063] An embodiment of the present application further discloses an electronic device, wherein a computer program is stored in a computer-readable storage medium. When the computer program is loaded and executed by a processor, the above-mentioned exhibition booth interaction method is implemented.

[0064] Among them, the electronic device can be an electronic device such as a desktop computer, a laptop computer or a cloud server, and the electronic device includes but is not limited to a processor and a memory. For example, the electronic device can also include input and output devices, network access devices and buses, etc.

[0065] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0066] Among them, the memory can be an internal storage unit of the electronic device, such as the hard disk or memory of the electronic device, or it can be an external storage device of the electronic device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD) or flash memory card (FC) equipped on the electronic device. In addition, the memory can also be a combination of an internal storage unit and an external storage device of the electronic device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or is to be output. This application does not impose any restrictions on this.

[0067] Among them, through this electronic device, an exhibition booth interaction method of the above embodiment is stored in the memory of the electronic device, and is loaded and executed on the processor of the electronic device for easy use.

[0068] The above description is merely an exemplary embodiment of the present disclosure and is not intended to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for interactive exhibition booths, characterized in that: The method comprises: Obtain the target portrait corresponding to the target exhibitors; Determining a recommended exhibition path corresponding to the target exhibitor based on the target portrait, a key booth that exhibitors are likely to choose to visit, and at least one corresponding key portrait, wherein the key portrait is a portrait of a visitor who is likely to choose to visit a single key booth, and the recommended exhibition path involves at least one recommended booth that the target exhibitor is likely to be interested in; The recommended exhibition path is adjusted and optimized to obtain a final recommended path, and the final recommended path is sent to the terminal of the target exhibitor.

2. The exhibition booth interaction method according to claim 1, characterized in that: The step of determining a recommended exhibition path corresponding to the target exhibitor based on the target portrait, a key booth that the exhibitor is likely to choose to visit, and at least one corresponding key portrait specifically includes: Obtaining the historical number of visitors to each booth in the exhibition, and selecting the booth with the largest number of visitors from the booths in descending order as the key booth; Obtaining historical portraits of historical visitors to the single key booth, counting the number of appearances of each of the historical portraits, and selecting a second number of historical portraits from the historical portraits in descending order of the number of appearances as key portraits corresponding to the single key booth; Determine a first weight for each key booth and a second weight for the key portrait corresponding to each key booth, wherein the first weight is the ratio of the historical number of visitors to each key booth to the sum of the historical number of visitors to all key booths, and the second weight is the ratio of the number of appearances of a single key portrait corresponding to the key booth to the sum of the number of appearances of all corresponding key portraits; Based on the target portrait, the first weight, and the second weight, a recommended exhibition path corresponding to the target exhibitor is determined.

3. The exhibition booth interaction method according to claim 2, characterized in that: The determining of the recommended exhibition path corresponding to the target exhibitor based on the target profile, the first weight, and the second weight specifically includes: If the target portrait exists in each key portrait corresponding to the key booth, the corresponding key booth is determined as an important booth; Calculating a first product of a first weight of each important booth and a second weight of a corresponding target portrait; comparing the first product with a preset first threshold, and if the first product exceeds the first threshold, determining the corresponding important booth as a recommended booth; determining a visiting order of the corresponding recommended booths according to the first product, wherein the larger the first product is, the higher the visiting order of the corresponding recommended booth is; According to each of the recommended booths and the corresponding visiting sequence, a recommended exhibition path corresponding to the target exhibitor is determined.

4. The exhibition booth interaction method according to claim 3, characterized in that: The adjustment and optimization of the recommended exhibition path to obtain the final recommended path specifically includes: The first products corresponding to the important booths in the same exhibition area are summed to obtain the sum of the first products; Determine a product correction coefficient for the corresponding exhibition area according to the sum of the first products, wherein the larger the sum of the first products, the larger the corresponding product correction coefficient, and the product correction coefficient is a positive number not less than 1; Multiplying the first product corresponding to the recommended booth by the product correction coefficient corresponding to the exhibition area to which it belongs to obtain a corrected product; According to the corrected product, the optimal visiting order of the corresponding recommended booths is determined, wherein the larger the corrected product is, the higher the corresponding optimal visiting order is; According to each of the recommended booths and the corresponding optimal visiting sequence, a final recommended path corresponding to the target exhibitor is determined.

5. The exhibition booth interaction method according to claim 2, characterized in that: The adjustment and optimization of the recommended exhibition path to obtain the final recommended path specifically includes: Determining an estimated arrival time of the target exhibitor at a target recommended booth based on the recommended exhibition route and the current location of the target exhibitor, wherein the target recommended booth is the recommended booth that the target exhibitor is about to visit; Obtain historical booths at the exhibition where visitor congestion occurred, count the number of first appearances of each of the historical booths, sort the booths in descending order of the number of first appearances, and select a third number of historical booths from the historical booths as target booths; Obtaining historical time periods during which visitor congestion occurred at a single target booth, counting the second occurrence counts for each historical time period, and selecting a fourth number of historical time periods from each historical time period in descending order of the second occurrence counts as target time periods corresponding to the single target booth; Determining a third weight for each target booth and a fourth weight for the target time period corresponding to each target booth, wherein the third weight is the ratio of the first number of occurrences of each target booth to the sum of the first number of occurrences of all target booths, and the fourth weight is the ratio of the second number of occurrences of a single target time period corresponding to the target booth to the sum of the second number of occurrences of all corresponding target time periods; The recommended exhibition route is adjusted and optimized according to the estimated arrival time, the third weight, and the fourth weight to obtain a final recommended route.

6. The exhibition booth interaction method according to claim 5, characterized in that: The step of adjusting and optimizing the recommended exhibition route according to the estimated arrival time, the third weight, and the fourth weight to obtain a final recommended route specifically includes: When the target recommended booth is the target booth, if there is an important time period among the target time periods corresponding to the target recommended booth, then calculating a second product of the third weight of the target recommended booth and the fourth weight of the corresponding important time period, where the important time period is the target time period including the estimated arrival time; If the second product exceeds a preset second threshold, then when the target portrait exists in each key portrait corresponding to the key booth, the corresponding key booth is determined as an important booth; Determine important booths within a preset distance range of the target recommended booth as booths to be selected, and calculate a third product of the first weight of each booth to be selected and the second weight of the corresponding target portrait; Summing the third products to obtain a sum of the second products, and if the sum of the second products exceeds a preset third threshold, determining the recommended exhibition path as a final recommended path; If the sum of the second products does not exceed the third threshold, the recommended exhibition path is adjusted and optimized to obtain a final recommended path.

7. The exhibition booth interaction method according to claim 6, characterized in that: If the sum of the second products does not exceed the third threshold, adjusting and optimizing the recommended exhibition path to obtain a final recommended path specifically includes: Determining an estimated arrival time of each reference recommended booth after the target exhibitor arrives at the target recommended booth; When each of the reference recommended booths is the target booth, calculating a fourth product of the third weight of the reference recommended booth and the fourth weight of the corresponding key time period, where the key time period is the target time period including the estimated arrival time of the corresponding reference recommended booth; Selecting a minimum fourth product from the fourth products, and determining the reference recommended booth corresponding to the minimum fourth product as the final recommended booth; Determine the final visiting order of the final recommended booth as the initial visiting order of the target recommended booth, determine the final visiting order of the target recommended booth as the next visiting order of the final recommended booth, and determine the final visiting order of the remaining recommended booths as the visiting order that is one position later than the corresponding initial visiting order, where the initial visiting order is the visiting order of the recommended booths in the exhibition recommendation path, and the remaining recommended booths are the recommended booths in the exhibition recommendation path except the target recommended booth and the final recommended booth; Based on the final visiting sequences, a final recommended route for the target exhibitors is determined.

8. An interactive system for exhibition booths, characterized in that: include: A portrait acquisition module (11) is used to acquire a target portrait corresponding to a target exhibitor; A path determination module (12) is configured to determine a recommended exhibition path corresponding to the target exhibitor based on the target portrait, a key exhibition stand that the exhibitor is likely to choose to visit, and at least one corresponding key portrait, wherein the key portrait is a portrait of a visitor who is likely to choose to visit a single key exhibition stand, and the recommended exhibition path involves at least one recommended exhibition stand that the target exhibitor is likely to be interested in; The path recommendation module (13) is used to adjust and optimize the recommended exhibition path to obtain a final recommended path, and send the final recommended path to the terminal of the target exhibitor.

9. A computer-readable storage medium storing a computer program, wherein: When the computer program is loaded and executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor loads and executes the computer program, the method according to any one of claims 1 to 7 is implemented.

Images