CN116258543A - Management method and device for online exhibition hall, terminal equipment and storage medium - Google Patents

Management method and device for online exhibition hall, terminal equipment and storage medium Download PDF

Info

Publication number
CN116258543A
CN116258543A CN202211092906.1A CN202211092906A CN116258543A CN 116258543 A CN116258543 A CN 116258543A CN 202211092906 A CN202211092906 A CN 202211092906A CN 116258543 A CN116258543 A CN 116258543A
Authority
CN
China
Prior art keywords
item
user
behavior information
evaluation data
exhibition hall
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211092906.1A
Other languages
Chinese (zh)
Inventor
董建涛
胡伟
李达
赵成斌
林鼎军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Issmart Science And Technology Co ltd
Original Assignee
Shenzhen Issmart Science And Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Issmart Science And Technology Co ltd filed Critical Shenzhen Issmart Science And Technology Co ltd
Priority to CN202211092906.1A priority Critical patent/CN116258543A/en
Publication of CN116258543A publication Critical patent/CN116258543A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Shopping interfaces
    • G06Q30/0643—Graphical representation of items or shoppers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/006—Mixed reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20—Indexing scheme for editing of 3D models
    • G06T2219/2012—Colour editing, changing, or manipulating; Use of colour codes
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Computer Graphics (AREA)
  • General Business, Economics & Management (AREA)
  • Architecture (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application discloses a management method and device of an online exhibition hall, terminal equipment and a storage medium, and relates to the technical field of virtual reality. The management method comprises the following steps: acquiring user behavior information generated by a user during use of an online exhibition hall; evaluating each item of behavior information in the user behavior information to obtain single item evaluation data corresponding to each item of behavior information, and calculating total evaluation data of the user behavior information and single item average evaluation data corresponding to each item of behavior information of all users; and when the overall evaluation data exceeds the overall index threshold, determining the user to which the overall evaluation data belongs as a potential user, and when the single-item average evaluation data exceeds the first single-item index threshold or is lower than the second single-item index threshold, adjusting the environmental scene in the online exhibition hall. The management method of the online exhibition hall provided by the embodiment of the application can accurately find potential users and improve the experience of the users.

Description

Management method and device for online exhibition hall, terminal equipment and storage medium
Technical Field
The application belongs to the technical field of virtual reality, and particularly relates to a management method and device of an online exhibition hall, terminal equipment and a storage medium.
Background
Due to limitations of factors such as off-line sites, spaces, manifestations, etc., the trend of exhibition halls from "off-line to on-line" is becoming more and more evident. The online exhibition hall can be regarded as a network platform, and can provide a virtual reality environment for users, so that the users can obtain immersive experience. One function of an online exhibition hall is to present merchandise (e.g., clothing, electronics, home, merchandise room, etc.) to users and thereby find potential users with potential for consumption.
Therefore, how to find potential users is the subject of study by those skilled in the art.
Disclosure of Invention
In view of this, the embodiments of the present application provide a method and apparatus for managing an online exhibition hall, and a terminal device and a storage medium, where potential users can be accurately found.
A first aspect of an embodiment of the present application provides a method for managing an online exhibition hall, including:
acquiring user behavior information generated by a user during use of an online exhibition hall;
evaluating each item of behavior information in the user behavior information to obtain single item evaluation data corresponding to each item of behavior information respectively;
according to each item of evaluation data, calculating total evaluation data of the user behavior information;
And when the total evaluation data exceeds the total index threshold, determining the user to which the total evaluation data belongs as a potential user.
As an alternative implementation manner of this embodiment, calculating total evaluation data of user behavior information according to each item of evaluation data includes:
based on industry information of an online exhibition hall, determining weight distribution corresponding to each item of evaluation data;
adjusting weight distribution based on first data, wherein the first data comprises at least one of registration information, liveness condition and preset effective rate of a user;
and carrying out weighted summation on each item of evaluation data based on the adjusted weight distribution to obtain total evaluation data.
As an alternative implementation of the present embodiment, adjusting the weight distribution based on the first data includes:
when the first data comprises registration information of the user, adjusting weight distribution based on the association degree of the business information of the engaged industry and the online exhibition hall in the registration information;
when the first data comprises the activity condition of the user, the weight distribution is adjusted in a time attenuation mode.
As an optional implementation manner of this embodiment, when the first data includes a preset effective rate, after determining, as the potential user, the user to which the total evaluation data belongs when the total evaluation data exceeds the total indicator threshold, the management method further includes:
Counting the ratio of the number of potential users meeting the preset condition to the total number of potential users, and taking the ratio as the preset effective rate;
adjusting the weight distribution based on the first data, comprising:
based on the preset effective rate, a machine learning algorithm is adopted to adjust weight distribution.
As an optional implementation manner of this embodiment, after evaluating each item of behavior information in the behavior information of the user to obtain the single item of evaluation data corresponding to each item of behavior information, the method further includes:
aiming at each item of behavior information in the user behavior information of all users, respectively calculating the average value of the corresponding single item of evaluation data to obtain the single item of average evaluation data respectively corresponding to each item of behavior information;
and when the single-item average evaluation data exceeds a first single-item index threshold value or is lower than a second single-item index threshold value, adjusting the environment scene in the online exhibition hall, wherein the first single-item index threshold value is higher than the second single-item index threshold value.
As an optional implementation manner of this embodiment, for each item of behavior information in user behavior information of all users, calculating average values of corresponding individual item evaluation data respectively to obtain individual item average evaluation data corresponding to each item of behavior information respectively, including:
Dividing all users into a plurality of user groups based on registration information of each user;
and taking the single user group as a unit, respectively calculating the average value of the corresponding single evaluation data for each item of behavior information in the user behavior information of all users in the single user group, and obtaining the single average evaluation data respectively corresponding to each item of behavior information.
As an optional implementation manner of this embodiment, after dividing all users into a plurality of user groups based on the registration information of each user, the management method further includes:
screening one or more user groups from the plurality of user groups according to the matching degree of the registration information of each user and the industry information of the online exhibition hall;
taking a single user group as a unit, respectively calculating the average value of corresponding single evaluation data for each item of behavior information in user behavior information of all users in the single user group to obtain single average evaluation data respectively corresponding to each item of behavior information, wherein the method comprises the following steps:
and aiming at the one or more screened user groups, executing the operation of taking the single user group as a unit, and respectively calculating the average value of the corresponding single item of evaluation data for each item of behavior information in the user behavior information of all users in the single user group to obtain the single item of average evaluation data corresponding to each item of behavior information.
As an optional implementation manner of this embodiment, when the single-item average evaluation data exceeds the first single-item index threshold value or is lower than the second single-item index threshold value, adjusting the environmental scene in the online exhibition hall includes:
determining a plurality of adjustment strategies based on the single-item average evaluation data;
respectively adjusting the environmental scenes in the online exhibition hall based on a plurality of adjustment strategies to obtain a plurality of adjusted first scenes;
acquiring feedback data for each first scene;
and screening one first scene from the plurality of first scenes based on the feedback data to serve as an environment scene in the adjusted online exhibition hall.
A second aspect of embodiments of the present application provides a management apparatus for an online exhibition hall, including:
the acquisition module is used for acquiring user behavior information generated by a user during the use of the online exhibition hall;
the evaluation module is used for evaluating each item of behavior information in the user behavior information to obtain single evaluation data corresponding to each item of behavior information respectively;
the calculation module is used for calculating total evaluation data of the user behavior information according to each item of evaluation data;
and the determining module is used for determining the user to which the total evaluation data belongs as a potential user when the total evaluation data exceeds the total index threshold.
A third aspect of the embodiments of the present application provides a terminal device, the terminal device comprising a memory, a processor, the memory having stored thereon a computer program executable on the processor, which when executed by the processor causes the terminal device to implement the steps of the method for managing an online exhibition hall according to any one of the first aspects above.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program, which when executed by a processor causes a terminal device to implement the steps of the method for managing an online exhibition hall according to any one of the first aspects above.
A fifth aspect of embodiments of the present application provides a computer program product, which when run on a terminal device, causes the terminal device to perform the method of managing an online exhibition hall according to any one of the above first aspects.
It will be appreciated that the advantages of the second to fifth aspects may be found in the relevant description of the first aspect, and are not described here again.
Compared with the prior art, the embodiment of the application has the beneficial effects that:
by acquiring the user behavior information generated by the user during the use of the online exhibition hall, each item of behavior information in the user behavior information can be evaluated to obtain single evaluation data corresponding to each item of behavior information, so that the total evaluation data of the user behavior information is calculated. If the total evaluation data exceeds the total index threshold, the embodiment of the application considers that the user behavior information meets the characteristics of the potential user, and the user to which the total evaluation data belongs can be determined as the potential user, so that the purpose of accurately finding the potential user is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for managing an online exhibition hall according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a process for a user to use an online exhibition hall according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating a method for calculating total evaluation data according to an embodiment of the present disclosure;
fig. 4 to 6 are schematic flow diagrams of a method for managing an online exhibition hall according to an embodiment of the present application;
FIG. 7 is a flow chart of a method for adjusting an environmental scenario in an online exhibition hall according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an on-line exhibition hall management device according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
Due to limitations of factors such as off-line sites, spaces, manifestations, etc., the trend of exhibition halls from "off-line to on-line" is becoming more and more evident. The online exhibition hall can be regarded as a network platform, and can provide a virtual reality environment for users, so that the users can obtain immersive experience. One function of an online exhibition hall is to present merchandise (e.g., clothing, electronics, home, merchandise room, etc.) to users and thereby find potential users with potential for consumption. Potential users are those users who have not yet purchased the product (or service) displayed by the online exhibition hall, but who have a need to purchase the product (or service).
In view of this, the embodiments of the present application provide a method and apparatus for managing an online exhibition hall, and a terminal device and a storage medium, where potential users can be accurately found. The design thought of the embodiment of the application is as follows: user behavior information generated by users during use of the online exhibition hall is collected and evaluated to obtain evaluation data of each user experience online exhibition hall. By analyzing the evaluation data, the user behavior information of which users can be judged to meet the characteristics of the potential users, and the potential users are determined according to the user behavior information, so that the purpose of accurately finding the potential users is achieved.
The on-line exhibition hall generally includes the following:
1. the real shooting panoramic exhibition hall utilizes 720 panoramic technology, adopts real shooting line to restore the online experience of the exhibition hall, and provides scene browsing, switching, guiding and other experiences.
2. Virtual panoramic exhibition halls, 3D modeling is utilized and converted into 720 panoramic exhibition halls, and 3D modeling has higher flexibility than real shooting exhibition halls.
3. Progressive virtual exhibition halls are realized by using 720 panoramic technology, and browsing is performed by combining free walking interaction technology, so that the system has certain autonomy.
4. Immersive 3D exhibition hall, utilize 3D technique to realize virtual exhibition hall, browse in combination with the interactive technique of freely walking to trigger relevant hotspot realization interactive.
5. The exhibition hall on the metauniverse is a virtual world which is linked and created by utilizing a scientific and technological means and is mapped and interacted with the real world, and the digital living space of the novel social system is provided. The meta-cosmic ray on-exhibition hall can be understood as an on-line exhibition hall which uses the meta-cosmic technology for scene construction.
The former three modes all adopt 720 panoramic technology to realize an online exhibition hall, and the essence of the technology is that the surrounding scenes are mapped in a certain geometric relation to generate a plane picture, and then the plane picture is subjected to correction processing of a panoramic player to form a three-dimensional panorama. The 4 th online exhibition hall is an immersive 3D exhibition hall, but the playing thought of the 720 panoramic exhibition hall is not separated, and only the third person figure model is used for replacing the panoramic first person view angle. The 5 th online exhibition hall uses the meta-universe technology to build scenes, and has a substantial breakthrough in immersion experience, interactive upgrading and marketing value improvement.
The specific type of the online exhibition hall is not limited, and a technician can select any one of the five online exhibition halls according to the needs, and can also select other types of online exhibition halls.
In order to explain the technical scheme, a meta-cosmic ray exhibition hall is taken as an example, and a specific embodiment is used for description.
Fig. 1 shows a flow chart of a management method of an online exhibition hall according to an embodiment of the present application, which is described in detail below:
s101, acquiring user behavior information generated during the use of the online exhibition hall by the user.
The form of using the on-line exhibition hall is not limited in this embodiment, and the on-line exhibition hall may be used in various ways in this embodiment. For example, an online exhibition hall may be used in the form of an access web page or in the form of a login client.
As an example, fig. 2 shows a process diagram using an online exhibition hall. In the process shown in fig. 2, various information including user behavior information may be generated. In order to explain the content contained in the user behavior information, the following describes the stages in the process shown in fig. 2.
1. User entry
The user can enter the home page of the online exhibition hall through the PC (Personal Computer) terminal or the mobile terminal. The online exhibition hall can be operated and displayed in a PC end or a mobile end in a client mode, or can be operated and displayed in a PC end or a mobile end in a webpage mode. Optionally, the mobile terminal includes an electronic device such as a mobile phone, a wearable device (e.g. virtual reality glasses), and the like.
The online exhibition hall shows various scenes by using a true 3D technology, and acquires the current rendering frame number through an intelligent recognition technology. When the frame number is lower than 30 frames/second, the method can switch to a low-fidelity mode, namely, by means of reducing the light effect, the number of pictures or the number of scenes displayed, and the like, so as to ensure the frame number experience of the user. Optionally, the online exhibition hall may also provide a plurality of different rendering modes for autonomous selection by the user.
At this stage, time information, location information, hardware device information of the PC side or the mobile side, etc. entered by the user can be acquired. Optionally, the location information indicates a region in which the user is located.
2. Role selection
At the home page of the display booth, the user may enter the virtual online booth for experience by selecting a virtual character. As an example, the selection of the avatar may include: sex, clothing color, character type, etc. For example, an online exhibition hall may preset a generic 3D character model, and the user makes selections based on the generic 3D character model. As another example, the variability may be demonstrated by modifying colors, accessory decorations, and the like.
At this stage, information of the virtual character can be acquired.
3. User registration/login
After the new user selects the virtual character, the user can quickly enter the online exhibition hall experience in a registration-free manner, and can log in by registering a new account or using a previously registered account.
As an example, a virtual role may be bound after login, thereby obtaining VIP permissions. For example, VIP entitlements including bonus points, identity titles, interactive games, etc., may unlock more functionality, thereby enhancing the interactivity and user-friendliness of an online exhibition hall.
At this stage, information such as registration information, login time, login frequency, score level, identity title, etc. of the user can be acquired. Registration information may include the user's engaged industry, engaged position, interest tags, age group, etc.
4. 3D scene experience
The on-line exhibition hall provided by the embodiment uses webgl (Web Graphics Library) technology, and can realize the full 3D scene construction of the on-line exhibition hall. The user's avatar may walk in the scene, for example, by mouse clicking, keyboard manipulation, keyboard assistance, etc. And be equipped with collision detection in the scene of online exhibition room, can trigger the hot spot through collision detection in order to obtain the information of showing in the scene, improve immersive experience.
The online exhibition hall provided by the embodiment can also enable the user to experience the running modes which cannot be achieved in the real world, such as free flight, bouncing, instantaneous movement and other action modes. As an example, free flight, i.e., a virtual character may enter a flight mode from a normal walking manner, look down the full scene from mid-air, provide a better viewing experience and perspective, and create a shocking sensation. As an example, bouncing, i.e., in some scenarios, can jump up several times the normal height, a rapid height drop gives the person an immersion.
At this stage, information such as the walking mode of the user, which hotspots are triggered, and the residence time of different scenes can be obtained.
5. Intelligent small assistant
As an example, the intelligent assistant may be incorporated into the online exhibition hall in the form of a non-player character, e.g., the intelligent assistant is free to walk in the online exhibition hall so that the user may communicate with the trigger to answer the common questions. The intelligent small assistant can communicate with the user through means such as intelligent voice and natural language processing so as to provide multi-azimuth intelligent assistance, and the answering experience of the user is improved so as to enhance the interestingness and the sense of reality.
At this stage, the user's question and the communication mode with the intelligent assistant can be obtained.
6. Immersive interaction
As an example, the present embodiment also provides the following 3 immersive interactions to improve the user's viscosity.
1) Meanwhile, online experience: the online exhibition hall provided by the embodiment can keep multiple people (such as 50-100 people) online at the same time. For example, an online exhibition hall is provided with a plurality of virtual rooms, and different virtual rooms can be the same scene exhibition or different scene exhibition. The user may operate the avatar to interact with other user's avatars in the virtual room, such as live chat, exchange business cards, and the like. The real-time chat can be transmitted by means of text input, intelligent voice recognition and the like. The exchange business cards can be kept in personal business card holders of virtual characters for long-term viewing. The online exhibition hall can also group users according to regions, interest tags and the like, and users in the same group are distributed in the same virtual room. Optionally, the user may also switch virtual rooms by himself.
2) VR (Virtual Reality) interaction experience: the online exhibition hall provided by the embodiment can be further integrated into a VR interaction mode, so that the immersion effect is improved. For example, a motion controller or other device is used to capture and recognize gestures of a user so as to control the walking direction of the virtual character, thereby achieving the purpose of actually walking freely in the VR scene.
3) Double-screen interaction experience: the online exhibition hall provided by the embodiment can also realize double-screen interaction (double-screen interaction between the PC end and the mobile end). As an example, when a user experiences an online exhibition hall using a PC side, the user may sweep a two-dimensional code identification in an online exhibition hall scene through the mobile side to invoke an AR (Augmented Reality ) implementation of the mobile side and incorporate virtual elements in the real scene, such as a small game to find items. After the experience is completed at the mobile terminal, the PC terminal can synchronously display the successful effect and distribute rewards.
At this stage, various interactive behavior information, interactive frequency information and interactive duration information of the user can be obtained.
7. Long-term maintenance
The online exhibition hall provided by the embodiment can be integrated into a point system to conduct point rewards on some behaviors of the user and match certain exchanges (such as titles, grades, medals and the like). For example, different credits correspond to different titles, levels or medals. The identity system is established by means of medals, grades, titles and the like, so that users can be stimulated to stay for a long time and gradually become the popularization of the online exhibition hall, the transition from the content exhibition to the marketing matrix of the online exhibition hall is completed, the cue loss of the user 'walking after finishing watching' is changed, and the marketing value is truly brought.
At this stage, the information of the user's score information, title, level, medal, etc. can be acquired.
8. Intent to reserve
The online exhibition hall also provides a user fund entry or a manual customer service entry. For example, the user may contact the customer service via a push-to-connect connection. The customer service can also connect with the user or log in the online exhibition hall with the virtual character to accompany the user to visit the exhibition hall and conduct characteristic explanation so as to guide the user to be converted into a potential user.
At this stage, information such as points of interest, suggestions, etc. of the user may be acquired.
Based on the above analysis, the user behavior information may include a plurality of pieces of behavior information according to kinds of information. The user behavior information in step S101 is not particularly limited in this embodiment, and a technician may select as needed.
For example, the user behavior information includes information that can be obtained at any of the above stages. As another example, the user behavior information includes interactive behavior information, experience behavior information, residence time behavior information, and the like. For another example, the interactive behavior information may further include behavior information such as interaction with other users, VR interaction, AR interaction, etc., the experience behavior information may further include behavior information such as various walking modes, etc., and the residence time behavior information may further include residence time behavior information of different scenes.
S102, evaluating each item of behavior information in the user behavior information to obtain single evaluation data corresponding to each item of behavior information.
It should be noted that there may be various data forms of the single evaluation data, and this embodiment is not particularly limited thereto. For example, the data form of the single item of evaluation data includes a rank, a score, a degree, and the like.
As an example, when the data form of the single item of evaluation data is a score, the unidirectional evaluation data ranges from 0 to 100 points.
As one example, when the data form of the single item of evaluation data is a rank, the range of the unidirectional evaluation data is a first rank, a second rank, a third rank, a fourth rank, and a fifth rank.
As an example, when the data form of the single evaluation data is degree, the range of the unidirectional evaluation data is completely satisfactory, generally satisfactory, unsatisfactory, and very unsatisfactory.
As an alternative to this embodiment, the data form of the single item of evaluation data is a score, and a score may be made for each item of behavior information.
The embodiment does not specifically limit how the scoring is performed, and the skilled person can select as needed. For example, the item of behavior information may be evaluated from various aspects such as whether the item of behavior information was generated, the number of times the item of behavior information was generated, the duration of the item of behavior information, and the like, in order to score different items of behavior information.
For example, the user behavior information includes VR interactive behavior information and resident view virtual display behavior information. If a user performs VR interactions 3 times, and the duration of stay viewing the virtual display screen is 3 seconds, the score of VR interaction behavior information may be estimated to be 90 points, and the score of stay viewing the virtual display screen behavior information may be estimated to be 20 points.
By evaluating the user behavior information, single evaluation data corresponding to each item of behavior information of different users can be obtained.
S103, calculating total evaluation data of the user behavior information according to each item of evaluation data.
And calculating the sum of the single evaluation data corresponding to each item of behavior information of the user on the basis of obtaining the single evaluation data corresponding to each item of behavior information of the user, so as to obtain corresponding total evaluation data.
The total evaluation data is equal to the sum of the single evaluation data corresponding to each item of behavior information. Because the importance of the single evaluation data corresponding to each item of behavior information is inconsistent, the total evaluation data should be a weighted sum of the individual single evaluation data. As shown in fig. 3, as an alternative implementation of the present embodiment, step S103 includes the steps of:
S1031, determining weight distribution corresponding to each item of evaluation data based on industry information of the online exhibition hall.
For example, when the industry information of the online exhibition hall is real estate, the decoration style may be more focused, and thus the weight of each item of behavior information related to the decoration style may be increased. For another example, when the industry information of the online exhibition hall is the clothing industry, the influence of the walking mode on the clothing may be more focused, so that the weight of each item of behavior information related to the walking mode may be increased.
As one example, the user behavior information includes VR interactive behavior information, walking style behavior information, resident viewing virtual display behavior information, and resident viewing decoration behavior information. If the industry information of the online exhibition hall is real estate, the weights of the VR interactive behavior information, the walking mode behavior information, the resident viewing virtual display screen behavior information and the resident viewing decoration behavior information are respectively 0.2, 0.2 and 0.4.
Based on the above description, according to the industry information of the online exhibition hall, the weight distribution of each item of evaluation data can be preliminarily determined, and the weight distribution is the initial weight distribution. When the total evaluation data is calculated according to the initial weight distribution, if the scores of the VR interaction behavior information, the walking mode behavior information, the resident viewing virtual display screen behavior information and the resident viewing decoration behavior information are respectively 90 scores, 60 scores, 20 scores and 100 scores, the total evaluation data is 74 scores.
S1032, adjusting weight distribution based on first data, wherein the first data comprises at least one of registration information, liveness condition and preset effective rate of the user.
Because of the variability of users, the focus of different users is different even in the same on-line exhibition hall. For example, the industry information at an online exhibition hall is the real estate industry, and when the engaged industry of a user is a decorative design, the user may be concerned with the decorative design of the online exhibition hall. Accordingly, the initial weight distribution described above can be adjusted based on the registration information of the user.
Because the liveness of different users is different, for example, some users actively participate in the interaction of the online exhibition hall, and some users hardly participate in the interaction of the online exhibition hall, or some users often log in the online exhibition hall, and some users log in the online exhibition hall for the first time, so that the proportion of single evaluation data of the same behavior information of different users to the total evaluation data is inconsistent, and weight distribution needs to be adjusted. Optionally, the liveness condition includes at least one of a login time, a login frequency, and a duration of each login of the user.
The preset effective rate refers to the proportion of potential users who reach the transaction intention to the total potential users or the proportion of potential users who successfully get in touch to the total potential users among the potential users determined by the embodiment of the application. When the potential user's effectiveness is too high, there may be a problem of missing the potential user. When the potential user's effectiveness is too low, there may be a problem in that screening is not strict. Therefore, the initial weight distribution needs to be adjusted based on the preset effective rate.
Based on the above description, the initial weight distribution may be adjusted based on at least one of registration information of the user, liveness situation, and effectiveness of the potential user.
In some embodiments, adjusting the weight distribution based on the first data may include the steps of:
when the first data includes registration information of the user, the weight distribution is adjusted based on a degree of association of industry information of the engaged industry and the online exhibition hall in the registration information. For example, when the user engages in the industry to design the decoration, the weights of the VR interactive behavior information, the walking mode behavior information, the resident viewing virtual display behavior information, and the resident viewing decoration behavior information are adjusted to 0.15, 0.2, and 0.5.
When the first data comprises the activity condition of the user, the weight distribution is adjusted in a time attenuation mode. For example, when the time from the last login of the user exceeds one year, the weights of the VR interactive behavior information, the walking mode behavior information, the resident view virtual display screen behavior information and the resident view decoration behavior information are adjusted to be 0.1, 0.15 and 0.45. At this time, the sum of the weights of the individual item evaluation data of the user is less than 1.
Based on the above analysis, in some embodiments, when the first data includes a preset effective rate, after determining the user as a potential user, the management method further includes the steps of:
and counting the ratio of the number of potential users meeting the preset condition to the total number of potential users, and taking the ratio as the preset effective rate. The preset conditions include an intention to reach a transaction, a successful contact, or other conditions.
Adjusting the weight distribution based on the first data, further comprising the steps of:
based on the preset effective rate, a machine learning algorithm is adopted to adjust weight distribution.
For example, when the preset effective rate is equal to 98%, the weights of the VR interactive behavior information, the walking mode behavior information, the resident viewing virtual display screen behavior information, and the resident viewing decoration behavior information are adjusted to 0.2, 0.3, 0.2, and 0.3, and the weight distribution is corrected by using a machine learning algorithm.
S1033, based on the adjusted weight distribution, carrying out weighted summation on each item of evaluation data to obtain total evaluation data.
In some embodiments, when the weights of the VR interactive behavior information, the walking behavior information, the resident-view virtual display behavior information, and the resident-view decorative behavior information are adjusted to 0.15, 0.25, 0.2, and 0.4, the total evaluation data is equal to 72.5 minutes (0.15x90 minutes+0.25x60 minutes+0.2x20 minutes+0.4x100 minutes).
And S104, when the total evaluation data exceeds the total index threshold, determining the user to which the total evaluation data belongs as a potential user.
In this embodiment, the specific quantitative value of the total index threshold is not limited, and a technician can set the total index threshold according to needs, or can dynamically adjust the total index threshold by adopting a machine learning algorithm, so as to more accurately determine potential users.
For example, setting the total indicator threshold to 70 points, when the total evaluation data of a user exceeds 70 points, for example 72.5 points, the user may be determined to be a potential user.
Based on the analysis, the total evaluation data obtained by evaluating the user behavior information can reflect the information of participation degree, activity degree, interest degree of the displayed product (or service) and the like of the user. In the embodiment, when the total evaluation data exceeds the total index threshold, the user to which the total evaluation data belongs is judged as the potential user, so that the purpose of accurately finding the potential user can be achieved.
Fig. 4 is a flow chart illustrating a method for managing an online exhibition hall according to another embodiment of the present application. In this embodiment, after step S102, the management method further includes the following steps:
s201, calculating the average value of the corresponding single item of evaluation data respectively aiming at each item of behavior information in the user behavior information of all users to obtain the single item of average evaluation data respectively corresponding to each item of behavior information.
It should be noted that the average value herein may include at least one of an arithmetic mean, a geometric mean, a harmonic mean, a weighted mean, a square mean, an exponential mean, and a median.
The present embodiment is described taking an arithmetic average as an example. For example, if the single evaluation data of the resident view virtual display screen behavior information of 3 users is 60 points, 70 points, and 80 points, respectively, the single average evaluation data of the resident view virtual display screen behavior information is equal to 70 points.
Because the information such as age, sex, interest labels and the like of different users are different, the users can be divided into a plurality of groups according to the information, so that single-item average evaluation data corresponding to each item of behavior information of the different groups of users is calculated, and the reference value of the single-item average evaluation data can be improved.
For this purpose, as an example, as shown in fig. 5, step S201 includes the steps of:
s2011, dividing all users into a plurality of user groups based on registration information of each user.
S2012, taking a single user group as a unit, calculating the average value of corresponding single evaluation data for each item of behavior information in the user behavior information of all users in the single user group, and obtaining the single average evaluation data corresponding to each item of behavior information.
For example, all users are classified into teenager groups, young age groups, elderly groups, etc. according to ages, or classified into south groups, north groups, etc. according to territories. After grouping, a single item of average evaluation data corresponding to each item of behavior information of different groups of users can be calculated.
For example, 9 users are classified into a teenager group, a young adult group, and an elderly group, the teenager group contains 2 persons, the young adult group contains 3 persons, and the elderly group contains 4 persons. In some embodiments, the single item average assessment data for resident viewing virtual display behavior information is equal to 50 points in the teenager group; in young age groups, the single average evaluation data of resident viewing virtual display screen behavior information is equal to 85 points; in the elderly group, the single item of average evaluation data of resident viewing virtual display behavior information is equal to 70 points. In some embodiments, the single average assessment data for VR interactive behavior information is equal to 55 points in the teenager group; in young age groups, the single average evaluation data of VR interactive behavior information is equal to 65 points; in the elderly group, the single mean evaluation data of VR interactive behavior information is equal to 75 points.
S202, when the single-item average evaluation data exceeds a first single-item index threshold or is lower than a second single-item index threshold, adjusting the environment scene in the online exhibition hall. Wherein the first single index threshold is higher than the second single index threshold.
And when the single-item average evaluation data exceeds a first single-item index threshold value, the user group is interested in the environment scene in the online exhibition hall corresponding to the single-item average evaluation data. For example, when the single average evaluation data of the resident view virtual display behavior information of a user group is equal to 90 minutes, the user group is more interested in the environment scene of the resident view virtual display. Otherwise, when the single-item average evaluation data is lower than the second single-item index threshold value, the interest of the user group on the environment scene in the online exhibition hall corresponding to the single-item average evaluation data is lower. For example, when the single average evaluation data of resident view virtual display behavior information of a user group is equal to 30 minutes, it indicates that the user group has a low interest in this environmental scene of resident view virtual display.
Whether of more interest or less interest, the present embodiment may adjust the environmental scenario in the online exhibition hall based on this. For example, the display content of the environment scene is adjusted, and the display strength of the environment scene is enhanced or reduced. As one example, the play content of the virtual display screen is adjusted, and the play sound of the virtual display screen is increased or decreased.
Based on the analysis, the embodiment can evaluate the user behavior information of different user groups according to the need, and when any one single average evaluation data of any one user group exceeds a first single index threshold or is lower than a second single index threshold, the environment scene in the online exhibition hall is adjusted, so that the experience of most users can be improved, and the experience satisfaction degree of different user groups is balanced.
As shown in fig. 6, in another embodiment of the present application, after step S2011, the management method further includes:
s2013, screening one or more user groups from the plurality of user groups according to the matching degree of the registration information of each user and the industry information of the online exhibition hall.
Step S2012 includes:
s2014, aiming at the one or more screened user groups, executing the operation of taking the single user group as a unit, and respectively calculating the average value of the corresponding single evaluation data for each item of behavior information in the user behavior information of all users in the single user group to obtain the single average evaluation data respectively corresponding to each item of behavior information.
In this embodiment, step S2013 screens out one or more user groups may be a user group that is more focused by the manager of the online exhibition hall. For example, when the registration information of a user matches industry information of an online exhibition hall highly, the probability that the user is a potential user is high.
Therefore, through steps S2013, S2014 and S202, only the single average evaluation data corresponding to each item of behavior information of the screened user group can be evaluated, so that the environmental scene in the online exhibition hall can be adjusted in a targeted manner, the experience satisfaction degree of the specific user group can be improved, and the purpose of fine marketing can be achieved. The specific user group can be confirmed by the matching degree of the registration information of each user and the industry information of the online exhibition hall.
As shown in fig. 7, since the actual effect of the adjusted environmental scene is not verified, in order to improve the adjustment effect, as an alternative implementation of this embodiment, step S202 includes the following steps:
s2021, determining multiple adjustment strategies based on the single-item average evaluation data.
In this embodiment, when the single average evaluation data exceeds the first single index threshold or is lower than the second single index threshold, different adjustment strategies may be selected to adjust the environmental scene in the on-line exhibition hall.
For example, to enhance or reduce sound and brightness in the environmental scene, to adjust the height of the virtual display screen, to adjust the presentation of the environmental scene, and so on.
S2022, adjusting the environmental scenes in the online exhibition hall based on a plurality of adjustment strategies respectively to obtain a plurality of adjusted first scenes.
S2023, acquiring feedback data for each first scene.
There are many forms of obtaining feedback data, and the present embodiment is not particularly limited thereto. For example, different users enter the adjusted first scene to experience, and feedback data is obtained according to the experience.
For another example, the technical means of step S102 may be referred to, and the difference between the two is that step S2023 only includes the user behavior information generated by the user in the first scenario. The user in step S102 may be the same as or different from the user who provides the feedback data in step S2023.
S2024, based on the feedback data, screening one first scene from the plurality of first scenes to serve as an environment scene in the adjusted online exhibition hall.
For another example, when step S2023 refers to the technical means of step S102, a first scene may be screened out as the adjusted environment scene in the online exhibition hall based on the single evaluation data corresponding to each item of behavior information in the user behavior information generated during the first scene.
According to the method and the device, the first scene with better user feedback can be screened out from the plurality of first scenes to serve as the environment scene in the adjusted online exhibition hall, so that user experience is improved.
As an alternative implementation, in any of the foregoing embodiments, after step S104, the method for managing an online exhibition hall further includes the following steps: contact information for the potential user is derived.
Sales or customer service personnel can contact the user through the contact information, thereby mining the value of the potential user.
In any of the above embodiments, if the acquired information relates to the privacy information of the user, the acquired information should be acquired after the permission of the user is obtained.
In summary, according to the management method for the online exhibition hall provided by the embodiment of the application, through analysis and evaluation of the user behavior information generated during the use of the online exhibition hall by the user, total evaluation data and single-item average evaluation data can be obtained, and based on the total evaluation data and the single-item average evaluation data, potential users can be determined, environmental scenes in the online exhibition hall can be adjusted, and the marketing value of the online exhibition hall and the experience of the users can be improved.
Fig. 8 is a schematic structural diagram of an on-line exhibition hall management device according to an embodiment of the present application, and for convenience of explanation, only the parts related to the embodiment of the present application are shown.
The management device of the online exhibition hall comprises:
an acquisition module 81 for acquiring user behavior information generated by a user during use of the online exhibition hall.
And the evaluation module 82 is used for evaluating each item of behavior information in the user behavior information to obtain single evaluation data corresponding to each item of behavior information respectively.
The first calculation module 83 is configured to calculate total evaluation data of the user behavior information according to each item of evaluation data.
A determining module 84, configured to determine, as the potential user, the user to which the total evaluation data belongs when the total evaluation data exceeds the total indicator threshold.
In some embodiments, the first computing module 83 includes:
and the first determining unit is used for determining weight distribution corresponding to each item of evaluation data based on the industry information of the online exhibition hall.
The adjusting unit is used for adjusting weight distribution based on first data, wherein the first data comprises at least one of registration information, liveness condition and preset effective rate of a user.
And the first calculation unit is used for carrying out weighted summation on each item of evaluation data based on the adjusted weight distribution to obtain total evaluation data.
In some embodiments, the adjustment unit comprises:
and the first adjustment subunit is used for adjusting the weight distribution based on the association degree of the industry information of the online exhibition hall and the engaged industry in the registration information when the first data comprises the registration information of the user.
And the second adjusting subunit is used for adjusting the weight distribution in a time attenuation mode when the first data comprise the activity condition of the user.
And the third adjustment subunit is used for adjusting the weight distribution by adopting a machine learning algorithm based on the preset effective rate when the first data comprises the preset effective rate. The ratio of the number of potential users meeting the preset condition to the total number of potential users is taken as the preset effective rate.
In some embodiments, the management apparatus of the online exhibition hall further comprises:
the second calculation module is used for calculating the average value of the corresponding single-item evaluation data respectively aiming at each item of behavior information in the user behavior information of all users to obtain the single-item average evaluation data respectively corresponding to each item of behavior information.
And the adjusting module is used for adjusting the environment scene in the online exhibition hall when the single-item average evaluation data exceeds a first single-item index threshold value or is lower than a second single-item index threshold value, wherein the first single-item index threshold value is higher than the second single-item index threshold value.
In some embodiments, the second computing module comprises:
and the first grouping unit is used for dividing all the users into a plurality of user groups based on the registration information of each user.
The second calculation unit is used for calculating the average value of the corresponding single item of evaluation data for each item of behavior information in the user behavior information of all users in the single user group by taking the single user group as a unit to obtain the single item of average evaluation data corresponding to each item of behavior information.
In some embodiments, the second computing module further comprises:
and the second grouping unit is used for screening one or more user groups from the plurality of user groups according to the matching degree of the registration information of each user and the industry information of the online exhibition hall.
In some embodiments, the adjustment module comprises:
and the second determining unit is used for determining a plurality of adjustment strategies based on the single-item average evaluation data.
And the fourth adjustment subunit is used for respectively adjusting the environmental scenes in the online exhibition hall based on a plurality of adjustment strategies to obtain a plurality of adjusted first scenes.
And the acquisition unit is used for acquiring feedback data for each first scene.
And the screening unit is used for screening one first scene from the plurality of first scenes based on the feedback data to be used as the environment scene in the adjusted online exhibition hall.
In some embodiments, the management apparatus of the online exhibition hall further comprises:
And the export module is used for exporting the contact information of the potential user.
The process of implementing respective functions by each module in the management device for an online exhibition hall provided in this embodiment of the present application may refer to the foregoing description of the embodiment shown in fig. 1 and other related method embodiments, which are not repeated herein.
It should be noted that, because the content of information interaction and execution process between the above devices/units is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and will not be described herein again.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
In addition, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance. It will also be understood that, although the terms "first," "second," etc. may be used in this document to describe various elements in some embodiments of the present application, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The management method for the online exhibition hall provided by the embodiment of the application can be applied to terminal equipment such as mobile phones, tablet computers, wearable equipment, vehicle-mounted equipment, augmented reality (augmented reality, AR)/Virtual Reality (VR) equipment, notebook computers, ultra-mobile personal computer (UMPC), netbooks, personal digital assistants (personal digital assistant, PDA) and the like, and the specific type of the terminal equipment is not limited.
For example, the terminal device may be a Station (ST) in a WLAN, a cellular telephone, a cordless telephone, a Session initiation protocol (Session InitiationProtocol, SIP) telephone, a wireless local loop (Wireless Local Loop, WLL) station, a personal digital assistant (Personal Digital Assistant, PDA) device, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a car networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite radio, a wireless modem card, a television Set Top Box (STB), a customer premise equipment (customer premise equipment, CPE) and/or other devices for communicating over a wireless system as well as next generation communication systems, such as a terminal device in a 5G network or a terminal device in a future evolved public land mobile network (Public Land Mobile Network, PLMN) network, etc.
By way of example, but not limitation, when the terminal device is a wearable device, the wearable device may also be a generic name for applying wearable technology to intelligently design daily wear, developing wearable devices, such as glasses, gloves, watches, apparel, shoes, and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device comprises full functions, large size, and complete or partial functions which can be realized independent of a smart phone, such as a smart watch or a smart glasses, and is only focused on certain application functions, and needs to be matched with other devices such as the smart phone for use, such as various smart bracelets, smart jewelry and the like for physical sign monitoring.
Fig. 9 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 9, the terminal device 9 of this embodiment includes: at least one processor 90 (only one is shown in fig. 9), a memory 91, said memory 91 having stored therein a computer program 92 executable on the processor 90. The processor 90, when executing the computer program 92, implements the steps in the above-described embodiments of the management method for the respective online exhibition hall, such as steps S101 to S104 shown in fig. 1. Alternatively, the processor 90, when executing the computer program 92, performs the functions of the modules/units of the apparatus embodiments described above, such as the functions of the modules 81-84 shown in fig. 8.
The terminal device 9 may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor 90, a memory 91. It will be appreciated by those skilled in the art that fig. 9 is merely an example of the terminal device 9 and does not constitute a limitation of the terminal device 9, and may include more or less components than illustrated, or may combine certain components, or different components, e.g., the terminal device may further include an input transmitting device, a network access device, a bus, etc.
The processor 90 may be a central processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 91 may in some embodiments be an internal storage unit of the terminal device 9, such as a hard disk or a memory of the terminal device 9. The memory 91 may also be an external storage device of the terminal device 9, such as a plug-in hard disk provided on the terminal device 9, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like. Further, the memory 91 may also include both an internal storage unit of the terminal device 9 and an external storage device. The memory 91 is used to store an operating system, application programs, boot loader (BootLoader), data, and other programs, etc., such as program codes of computer programs, etc. The memory 91 may also be used to temporarily store data that has been transmitted or is to be transmitted.
In addition, it will be clearly understood by those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The embodiment of the application also provides a terminal device, which comprises at least one memory, at least one processor and a computer program stored in the at least one memory and capable of running on the at least one processor, wherein the processor executes the computer program to enable the terminal device to realize the steps in the method embodiments.
Embodiments of the present application also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements steps that may implement the various method embodiments described above.
The embodiments of the present application provide a computer program product which, when run on a terminal device, causes the terminal device to perform the steps of the method embodiments described above.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each method embodiment described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims (11)

1. The management method of the online exhibition hall is characterized by comprising the following steps of:
acquiring user behavior information generated by a user during the use of the online exhibition hall;
evaluating each item of behavior information in the user behavior information to obtain single evaluation data corresponding to each item of behavior information;
calculating total evaluation data of the user behavior information according to each item of evaluation data;
and when the total evaluation data exceeds a total index threshold, determining the user to which the total evaluation data belongs as a potential user.
2. The method of claim 1, wherein calculating total evaluation data of the user behavior information from each of the individual evaluation data includes:
based on the industry information of the online exhibition hall, determining weight distribution corresponding to each item of evaluation data;
adjusting the weight distribution based on first data, wherein the first data comprises at least one of registration information, liveness condition and preset effective rate of the user;
and carrying out weighted summation on each item of evaluation data based on the adjusted weight distribution to obtain the total evaluation data.
3. The method of managing according to claim 2, characterized in that the adjusting the weight distribution based on the first data includes:
when the first data comprises the registration information of the user, adjusting the weight distribution based on the association degree of industry information of the online exhibition and the engaged industry in the registration information;
and when the first data comprises the activity condition of the user, adjusting the weight distribution in a time attenuation mode.
4. A management method according to claim 2 or 3, wherein when the first data includes the preset effective rate, after the user to which the total evaluation data belongs is determined as a potential user when the total evaluation data exceeds a total index threshold, the management method further comprises:
counting the ratio of the number of potential users meeting a preset condition to the total number of the potential users, and taking the ratio as the preset effective rate;
the adjusting the weight distribution based on the first data includes:
and based on the preset effective rate, adopting a machine learning algorithm to adjust the weight distribution.
5. The method according to claim 1, wherein the number of users is greater than 1, and after each item of behavior information in the user behavior information is evaluated to obtain single evaluation data corresponding to each item of behavior information, the method further comprises:
Aiming at each item of behavior information in the user behavior information of all the users, respectively calculating the average value of the corresponding single item of evaluation data to obtain single item of average evaluation data corresponding to each item of behavior information;
and when the single-item average evaluation data exceeds a first single-item index threshold value or is lower than a second single-item index threshold value, adjusting the environment scene in the online exhibition hall, wherein the first single-item index threshold value is higher than the second single-item index threshold value.
6. The method according to claim 5, wherein the calculating, for each item of behavior information in the user behavior information of all the users, a mean value of the corresponding individual item of evaluation data to obtain individual item of average evaluation data corresponding to each item of behavior information includes:
dividing all the users into a plurality of user groups based on the registration information of each user;
and taking a single user group as a unit, respectively calculating the average value of the corresponding single item of evaluation data for each item of behavior information in the user behavior information of all the users in the single user group, and obtaining the single item of average evaluation data corresponding to each item of behavior information.
7. The management method according to claim 6, wherein after said dividing all of said users into a plurality of user groups based on registration information of each of said users, said management method further comprises:
screening one or more user groups from a plurality of user groups according to the matching degree of the registration information of each user and the industry information of the online exhibition hall;
the step of calculating the average value of the corresponding single item of evaluation data for each item of behavior information in the user behavior information of all the users in a single user group by taking the single user group as a unit to obtain the single item of average evaluation data corresponding to each item of behavior information respectively, including:
and aiming at one or more screened user groups, executing the operation of taking the single user group as a unit, and respectively calculating the average value of the corresponding single item of evaluation data for each item of behavior information in the user behavior information of all the users in the single user group to obtain the single item of average evaluation data corresponding to each item of behavior information.
8. The method of claim 5, wherein adjusting the environmental scenario within the online exhibition hall when the single average evaluation data is present above a first single index threshold or below a second single index threshold comprises:
Determining a plurality of adjustment strategies based on the single average evaluation data;
respectively adjusting the environmental scenes in the online exhibition hall based on the plurality of adjustment strategies to obtain a plurality of adjusted first scenes;
acquiring feedback data for each first scene;
and screening one first scene from a plurality of first scenes based on the feedback data, wherein the first scene is used as an environment scene in the adjusted online exhibition hall.
9. The management device of online exhibition room, its characterized in that includes:
the acquisition module is used for acquiring user behavior information generated by a user during the use of the online exhibition hall;
the evaluation module is used for evaluating each item of behavior information in the user behavior information to obtain single evaluation data corresponding to each item of behavior information respectively;
the calculation module is used for calculating total evaluation data of the user behavior information according to each item of evaluation data;
and the determining module is used for determining the user to which the total evaluation data belongs as a potential user when the total evaluation data exceeds a total index threshold value.
10. Terminal device, characterized in that it comprises a memory and a processor, on which a computer program is stored which can be run on the processor, the processor implementing the steps of the management method according to any one of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the steps of the management method of any one of claims 1 to 8.
CN202211092906.1A 2022-09-08 2022-09-08 Management method and device for online exhibition hall, terminal equipment and storage medium Pending CN116258543A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211092906.1A CN116258543A (en) 2022-09-08 2022-09-08 Management method and device for online exhibition hall, terminal equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211092906.1A CN116258543A (en) 2022-09-08 2022-09-08 Management method and device for online exhibition hall, terminal equipment and storage medium

Publications (1)

Publication Number Publication Date
CN116258543A true CN116258543A (en) 2023-06-13

Family

ID=86685080

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211092906.1A Pending CN116258543A (en) 2022-09-08 2022-09-08 Management method and device for online exhibition hall, terminal equipment and storage medium

Country Status (1)

Country Link
CN (1) CN116258543A (en)

Similar Documents

Publication Publication Date Title
US11809642B2 (en) Systems, methods, and apparatus for enhanced peripherals
CA2621191C (en) Interactivity via mobile image recognition
US8130219B2 (en) Metadata for avatar generation in virtual environments
US11531918B2 (en) Interactive live event outcome selection and prediction
US11604859B2 (en) Method and system for incorporating marketing in user authentication
JP2002035423A (en) Game system, game providing method, and information storage medium
CN102656542A (en) Camera navigation for presentations
KR101518224B1 (en) Method for displaying a virtual world in which the avatar of a user of virtual reality service lives
WO2022114055A1 (en) Information processing system, information processing method, and information processing program
CN108295473B (en) System and method for user creation of digital objects
US20230020633A1 (en) Information processing device and method for medium drawing in a virtual system
KR102510023B1 (en) Method and computer program to determine user's mental state by using user's behavioral data or input data
Park et al. Catch me if you can: effects of AR-enhanced presence on the mobile game experience
CN114911558A (en) Cloud game starting method, device and system, computer equipment and storage medium
CN116258543A (en) Management method and device for online exhibition hall, terminal equipment and storage medium
CN112333460B (en) Live broadcast management method, computer equipment and readable storage medium
KR101901826B1 (en) Visualization system of space contents experience information and reward system thereof
JP7050884B6 (en) Information processing system, information processing method, information processing program
US20200160233A1 (en) Tap to reserve
KR102630248B1 (en) Home training matching system and home training matching method using smart mirror
KR20230155965A (en) System for processing information using collective intelligence and method thereof
KR20140015735A (en) The advertising system using by electronic game captcha
US20230394560A1 (en) Information processing system, information processing method, and program
KR20240000776A (en) Celebrity Avatar Homt and MRT Coin Models
Kosonen How augmented reality games can improve social health: case Pokémon GO

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination