Teleconference processing method, system, and storage medium
By using a duration prediction model and meeting duration thresholds in remote meetings, the reasonable allocation of topic durations is determined, solving the problem of excessively long remote meetings and achieving meeting duration control and quality assurance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA PING AN LIFE INSURANCE CO LTD
- Filing Date
- 2022-12-19
- Publication Date
- 2026-05-19
AI Technical Summary
Excessive duration of remote meetings can easily lead to participant fatigue and affect the quality of the meeting.
The system receives meeting creation information from the meeting server, estimates the duration of each topic using a trained duration estimation model, determines the meeting plan based on a preset meeting duration threshold, generates a remote meeting invitation request, and the target terminal responds to the invitation to join the remote meeting.
Control the duration of remote meetings to avoid participant fatigue and ensure meeting quality.
Smart Images
Figure CN116366386B_ABST
Abstract
Description
Technical Field
[0001] This application relates to, but is not limited to, the field of artificial intelligence technology, and in particular to a remote conferencing processing method, system, and storage medium. Background Technology
[0002] Currently, in the financial industry, it is often necessary to create remote meetings to solve work problems. However, remote meetings usually contain multiple topics, each of which requires a certain amount of meeting time. The meeting time required for different topics varies. If a remote meeting contains too many topics, resulting in an excessively long total meeting time, it can easily cause participants to become fatigued and affect the quality of the remote meeting. Summary of the Invention
[0003] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of the claims.
[0004] This application provides a remote conferencing processing method, system, and storage medium that can control the duration of remote conferencing, prevent participants from becoming fatigued, and ensure the quality of remote conferencing.
[0005] To achieve the above objectives, a first aspect of this application proposes a remote conferencing processing method, comprising: a conferencing server receiving conferencing creation information, wherein the conferencing creation information includes conferencing content information, and the conferencing content information includes multiple target topic information; the conferencing server sequentially inputting all the target topic information into a trained duration prediction model to obtain the target topic duration for each target topic information; the conferencing server determining at least one conferencing scheme based on a preset conferencing duration threshold, the target topic duration, and the target topic information, wherein the conferencing scheme corresponds to at least one of the target topic information, and the sum of the durations of all the target topics corresponding to the conferencing scheme is less than the conferencing duration threshold; the conferencing server generating a remote conferencing invitation request for the conferencing scheme based on the conferencing creation information and the conferencing scheme, and sending the remote conferencing invitation request to a target terminal; and the target terminal responding to the remote conferencing invitation request and entering the remote conferencing corresponding to the conferencing scheme.
[0006] In some embodiments, the duration prediction model is trained through the following steps: the conference server acquires multiple historical topic information and the historical topic duration of the historical topic information; the conference server sequentially inputs all the historical topic information into a preset prediction model to obtain the training topic duration of each historical topic information; the conference server constructs the average variance loss function of the prediction model based on the difference between the training topic duration and the historical topic duration; the conference server updates the model parameters of the prediction model based on the average variance loss function and a preset gradient descent algorithm to obtain the duration prediction model.
[0007] In some embodiments, the formula for the average variance loss function is: Where L(Θ) is the average variance loss determined by the average variance loss function, m is the amount of historical issue information, and y i x represents the duration of the historical topic information for the i-th historical topic. i Let be the training topic duration of the i-th historical topic information, 1≤i≤m, and i and m are both positive integers.
[0008] In some embodiments, the conference server generates a remote conference invitation request for the conference plan based on the conference creation information and the conference plan, and sends the remote conference invitation request to the target terminal, including: the conference server generating a remote conference invitation request for the conference plan based on the conference creation information and the conference plan; the conference server generating remote communication information or local communication messages based on the remote conference invitation request, wherein the remote communication information includes at least one of the following: email message, SMS message, link information, and QR code information, and the local communication message includes at least one of the following: Bluetooth communication message, Wi-Fi communication message, and NFC communication message; the conference server sending the remote communication information or the local communication message to the target terminal so that the target terminal receives the remote conference invitation request.
[0009] In some embodiments, the meeting server generates a remote meeting invitation request for the meeting plan based on the meeting creation information and the meeting plan, and sends the remote meeting invitation request to the target terminal, including: the meeting server generating a remote meeting invitation request for the meeting plan based on the meeting creation information and the meeting plan; the meeting server generating a membership poster based on the remote meeting invitation request, wherein the membership poster includes a membership QR code, the membership QR code being used to carry the remote meeting invitation request; and the meeting server sending the membership poster to the target terminal, so that the target terminal scans the membership QR code to obtain the remote meeting invitation request.
[0010] In some embodiments, the meeting server determines at least one meeting scheme based on a preset meeting duration threshold, the target topic duration, and the target topic information, including: the meeting server determining topic tags for the target topic information based on a preset topic segmentation strategy and the target topic information; the meeting server segmenting the target topic information based on the topic tags to obtain several topic sets, wherein the topic set is a collection of multiple target topic information; and the meeting server determining at least one meeting scheme based on the preset meeting duration threshold, the target topic duration, and the topic sets, wherein the meeting scheme corresponds to at least one of the topic sets.
[0011] In some embodiments, the meeting creation information includes the meeting time; the target terminal responds to the remote meeting invitation request and enters the remote meeting corresponding to the meeting scheme, including: the target terminal responds to the remote meeting invitation request and determines the joining link and the meeting time; the target terminal generates a calendar event according to the meeting time and the joining link; when the first time of the calendar event arrives, the target terminal triggers the joining link to enter the remote meeting corresponding to the meeting scheme.
[0012] In some embodiments, the meeting creation information includes a meeting tag, and the meeting content information includes a meeting topic; after the target terminal responds to the remote meeting invitation request and determines the meeting link and the meeting time, the method further includes: the target terminal determines the meeting tag and the meeting topic according to the remote meeting invitation request; the target terminal categorizes the meeting topics according to the meeting time and the meeting tag; and the target terminal displays the categorized meeting topics.
[0013] To achieve the above objectives, a second aspect of this application proposes a remote conferencing processing system, comprising: a conferencing server, configured to receive conferencing creation information, wherein the conferencing creation information includes conferencing content information, and the conferencing content information includes multiple target topic information; the conferencing server is further configured to sequentially input all the target topic information into a trained duration prediction model to obtain the target topic duration of each target topic information; the conferencing server is further configured to determine at least one conferencing scheme based on a preset conferencing duration threshold, the target topic duration, and the target topic information, wherein the conferencing scheme corresponds to at least one of the target topic information, and the sum of the durations of all the target topics corresponding to the conferencing scheme is less than the conferencing duration threshold; the conferencing server is further configured to generate a remote conferencing invitation request for the conferencing scheme based on the conferencing creation information and the conferencing scheme, and send the remote conferencing invitation request to a target terminal; the target terminal is configured to respond to the remote conferencing invitation request and enter the remote conferencing corresponding to the conferencing scheme.
[0014] To achieve the above objectives, a third aspect of this application provides a storage medium, which is a computer-readable storage medium storing a computer program that, when executed by a processor, implements the remote conferencing processing method described in the first aspect.
[0015] The remote conferencing processing method, system, and storage medium proposed in this application include, in embodiments thereof: a conferencing server receives conferencing creation information, wherein the conferencing creation information includes conferencing content information, and the conferencing content information includes multiple target topic information; the conferencing server sequentially inputs all the target topic information into a trained duration prediction model to obtain the target topic duration for each target topic information; the conferencing server determines at least one conferencing scheme based on a preset conferencing duration threshold, the target topic duration, and the target topic information, wherein the conferencing scheme corresponds to at least one of the target topic information, and the sum of the durations of all the target topics corresponding to the conferencing scheme is less than the conferencing duration threshold; the conferencing server generates a remote conferencing invitation request for the conferencing scheme based on the conferencing creation information and the conferencing scheme, and sends the remote conferencing invitation request to a target terminal; the target terminal responds to the remote conferencing invitation request and enters the remote conferencing corresponding to the conferencing scheme. According to the solution provided in this application embodiment, a target business form containing multiple target field objects is displayed. Then, according to the update frequency, the target field data of the target field objects is extracted and analyzed. If it is determined that the target field data of the target field object has changed, the target field object that needs to be updated is taken as the field object to be processed, combined with the field update strategy. Then, the field object to be processed is updated through the field update strategy and the changed target field data, thereby updating the target business form. Since the field update strategy can characterize the correlation between the field object to be processed and the changed target field object, the field objects of the business form can be automatically adjusted through the correlation between the field objects, improving the flexibility of the business form and effectively meeting the user's needs.
[0016] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description
[0017] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.
[0018] Figure 1 This is a flowchart of a remote conferencing processing method provided in one embodiment of this application;
[0019] Figure 2 This is a flowchart of a method for training a duration prediction model according to another embodiment of this application;
[0020] Figure 3 This is a flowchart illustrating a method for sending a remote conference invitation request according to another embodiment of this application;
[0021] Figure 4 This is a flowchart of another method for sending a remote conference invitation request provided in another embodiment of this application;
[0022] Figure 5 This is a flowchart illustrating a method for determining a meeting scheme according to another embodiment of this application;
[0023] Figure 6 This is a flowchart of a method for determining calendar events provided in another embodiment of this application;
[0024] Figure 7 This is a flowchart of a method for classifying meeting topics according to another embodiment of this application;
[0025] Figure 8 This is a schematic diagram of the structure of a remote conferencing processing system provided in another embodiment of this application. Detailed Implementation
[0026] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0027] In the description of this application, "several" means one or more, "multiple" means two or more, "greater than", "less than", "exceeding" etc. are understood to exclude the number itself, and "above", "below", "within" etc. are understood to include the number itself.
[0028] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, or the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.
[0029] First, let's analyze some of the terms used in this application:
[0030] Artificial Intelligence (AI) is a new branch of computer science that studies, develops, and applies theories, methods, technologies, and systems to simulate, extend, and expand human intelligence. It aims to understand the essence of intelligence and produce intelligent machines that can react in a way similar to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing, and expert systems. AI can simulate the information processes of human consciousness and thought. Furthermore, AI utilizes digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceiving the environment, acquiring knowledge, and using that knowledge to achieve optimal results.
[0031] Native refers to native development technology, which can refer to the development technology of apps running on iOS devices. Each time Native is updated, a new installation package needs to be installed.
[0032] React Native is a type of hybrid technology. React Native refers to a hybrid development technology. A single codebase of React Native can be applied to both Android and iOS devices, and it supports hot updates, allowing users to update without reinstalling a new package.
[0033] Vue is a type of Hybrid technology. Vue is a progressive framework for building user interfaces.
[0034] Currently, in the financial industry, it is often necessary to create remote meetings to solve work problems. However, remote meetings usually contain multiple topics, each of which requires a certain amount of meeting time. The meeting time required for different topics varies. If a remote meeting contains too many topics, resulting in an excessively long total meeting time, it can easily cause participants to become fatigued and affect the quality of the remote meeting.
[0035] To address the problem that excessively long total meeting duration in remote conferences can easily lead to participant fatigue and affect the quality of remote meetings, this application provides a remote conference processing method, system, and storage medium. The method includes: a conference server receiving conference creation information, wherein the conference creation information includes conference content information, which includes multiple target topic information; the conference server sequentially inputting all target topic information into a trained duration prediction model to obtain the target topic duration for each target topic; the conference server determining at least one conference scheme based on a preset conference duration threshold, the target topic durations, and the target topic information, wherein the conference scheme corresponds to at least one target topic, and the sum of the durations of all target topics corresponding to the conference scheme is less than the conference duration threshold; the conference server generating a remote conference invitation request for the conference scheme based on the conference creation information and the conference scheme, and sending the remote conference invitation request to the target terminal; the target terminal responding to the remote conference invitation request and entering the remote conference corresponding to the conference scheme. According to the solution provided in this application embodiment, a meeting server receives meeting creation information containing meeting content information. Then, all target topic information of the meeting content information is input into a trained duration prediction model. The duration prediction model is then used to obtain the target topic duration of each target topic. A meeting plan is then determined by combining the meeting duration threshold. A remote meeting invitation request is then generated based on the meeting creation information and the meeting plan, and the meeting invitation request is sent to the target terminal. The target terminal can then enter the corresponding remote meeting by responding to the meeting invitation request. This ensures that when solving work-related problems in the financial industry through remote meetings, the sum of the durations of all target topics corresponding to any meeting plan is less than the meeting duration threshold. This controls the meeting duration of remote meetings, avoids fatigue among participants, and ensures the quality of remote meetings.
[0036] The remote conferencing processing method, system, and storage medium provided in this application are specifically described through the following embodiments. First, the remote conferencing processing method in this application embodiment is described.
[0037] The remote conferencing processing method provided in this application relates to the field of artificial intelligence technology. This method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, etc.; the server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application implementing the remote conferencing processing method, but is not limited to the above forms.
[0038] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.
[0039] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards of the relevant countries and regions. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirects to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data for the proper functioning of the embodiments of this application obtained.
[0040] The embodiments of this application will be further described below with reference to the accompanying drawings.
[0041] like Figure 1 As shown, Figure 1This is a flowchart illustrating a remote conferencing processing method according to an embodiment of this application. The remote conferencing processing method includes, but is not limited to, the following steps:
[0042] Step S110: The meeting server receives meeting creation information, which includes meeting content information, including multiple target topic information.
[0043] Step S120: The conference server sequentially inputs all target topic information into the trained duration prediction model to obtain the target topic duration for each target topic.
[0044] Step S130: The meeting server determines at least one meeting scheme based on the preset meeting duration threshold, target topic duration, and target topic information. The meeting scheme corresponds to at least one target topic information, and the sum of the durations of all target topics corresponding to the meeting scheme is less than the meeting duration threshold.
[0045] Step S140: The conference server generates a remote conference invitation request for the conference plan based on the conference creation information and the conference plan, and sends the remote conference invitation request to the target terminal.
[0046] In step S150, the target terminal responds to the remote conference invitation request and enters the remote conference corresponding to the conference plan.
[0047] Understandably, when resolving work-related issues in the financial industry through remote conferencing, the meeting initiator can send meeting creation information to the meeting server via a terminal device. Upon receiving this information, the meeting server determines the target topic duration using a duration prediction model, then combines this with a meeting duration threshold to determine the meeting plan, and finally generates a remote meeting invitation request for that plan. This invitation request then invites the target terminal to join the corresponding remote meeting. Similarly, the meeting server receives meeting creation information containing meeting content information, inputs all target topic information into a trained duration prediction model, and uses this model to obtain the target topic duration for each topic. This, combined with the meeting duration threshold, determines the meeting plan. Finally, the meeting creation information and the meeting plan are used to generate a remote meeting invitation request, which is then sent to the target terminal. The target terminal then responds to the invitation request to join the corresponding remote meeting. This ensures that, when resolving work-related issues in the financial industry through remote conferencing, the sum of the durations of all target topics for any given meeting plan is less than the meeting duration threshold, thus controlling the meeting duration, preventing participant fatigue, and guaranteeing the quality of the remote meeting.
[0048] It should be noted that the meeting duration threshold can be set to 2 hours, ensuring that each remote meeting can effectively discuss the target topics and guarantee the efficiency and quality of the remote meetings.
[0049] It should be noted that if the meeting organizer changes their plans, the organizer can send meeting modification information to the meeting server via a terminal device to modify the meeting content.
[0050] It's worth noting that the remote conferencing application on the target terminal is developed using Native, React-Native, and Vue technologies. Native technology controls the entry point for meeting functions, React-Native technology manages the list of meeting topics, and Vue technology enables meeting creation and modification. This adds a variety of intelligent processing options for users, making remote meetings more diverse in terms of scheduling and the types of activities supported. Furthermore, users can join meetings anytime, anywhere via their mobile phones, breaking the traditional offline meeting model and meeting user needs. Creating, modifying, and viewing remote meetings is also relatively simple, improving work efficiency.
[0051] In practice, financial industry-related businesses include, but are not limited to: business operations, payment services, transaction services, securities services, banking services, tax services, credit card services, shopping services, and insurance services.
[0052] Additionally, refer to Figure 2 In one embodiment, Figure 1 The training method for the duration prediction model in step S120 of the illustrated embodiment includes, but is not limited to, the following steps:
[0053] Step S210: The conference server obtains information on multiple historical topics and the duration of each historical topic.
[0054] Step S220: The conference server inputs all historical topic information into the preset prediction model in sequence to obtain the training topic duration of each historical topic.
[0055] Step S230: The conference server constructs the mean variance loss function of the prediction model based on the difference between the training topic duration and the historical topic duration.
[0056] In step S240, the conference server updates the model parameters of the prediction model based on the average variance loss function and the preset gradient descent algorithm to obtain the duration prediction model.
[0057] Understandably, during the training process of the prediction model, the average variance loss function is determined by the difference between the training topic duration and the historical topic duration. The average variance loss function is used as the loss function of the prediction model, and then the gradient descent algorithm is used as the optimization function of the prediction model. Finally, the duration prediction model is obtained through training.
[0058] in addition, Figure 2 The formula for the average variance loss function in step S230 of the illustrated embodiment is as follows:
[0059]
[0060] Where L(Θ) is the average variance loss determined by the average variance loss function, m is the amount of historical issue information, and y i Let x be the duration of the historical topic information for the i-th historical topic. i Let be the training topic duration of the i-th historical topic information, 1≤i≤m, and i and m are both positive integers.
[0061] It is understandable that the average variance loss is calculated by using the duration of the historical topic information of the i-th historical topic and the duration of the training topic information of the i-th historical topic, which serves as a measure of error. Then, the gradient descent algorithm is used to update the prediction model to obtain the duration prediction model, thereby improving the prediction accuracy of the duration prediction model.
[0062] Additionally, refer to Figure 3 In one embodiment, Figure 1 Step S140 in the illustrated embodiment includes, but is not limited to, the following steps:
[0063] Step S310: The conference server generates a remote conference invitation request for the conference plan based on the conference creation information and the conference plan.
[0064] Step S320: The conference server generates remote communication information or local communication message based on the remote conference invitation request. The remote communication information includes at least one of the following: email message, SMS message, link information, and QR code information. The local communication message includes at least one of the following: Bluetooth communication message, Wi-Fi communication message, and NFC communication message.
[0065] In step S330, the conference server sends remote communication information or local communication messages to the target terminal so that the target terminal receives a remote conference invitation request.
[0066] Understandably, after generating a remote meeting invitation request, the meeting server can generate remote communication information or local communication messages, and then send the remote communication information or local communication messages to the target terminal. The target terminal parses the remote communication information or local communication messages to obtain the remote meeting invitation request, which can ensure the reliability of information transmission.
[0067] Additionally, refer to Figure 4 In one embodiment, Figure 1Step S140 in the illustrated embodiment includes, but is not limited to, the following steps:
[0068] Step S410: The conference server generates a remote conference invitation request for the conference plan based on the conference creation information and the conference plan.
[0069] Step S420: The meeting server generates a meeting poster based on the remote meeting invitation request. The meeting poster includes a meeting QR code, which is used to carry the remote meeting invitation request.
[0070] In step S430, the conference server sends the meeting invitation poster to the target terminal so that the target terminal can scan the meeting invitation QR code to obtain the remote conference invitation request.
[0071] Understandably, after generating a remote meeting invitation request, the meeting server can generate a meeting poster and send it to the target terminal. The target terminal can obtain the meeting invitation request by scanning the QR code on the meeting poster, which can ensure the reliability of information transmission.
[0072] It is worth noting that after the target terminal scans the QR code to join the meeting using WeChat or other applications, it can enter the meeting mini-program for the remote meeting and then obtain the remote meeting invitation request in the meeting mini-program.
[0073] It should be noted that the membership poster is an image. In addition to the membership QR code, the membership poster may also include the meeting title, meeting time, and meeting theme. Once any target terminal receives the membership poster, it can share it so that other users can scan the code to join the remote meeting. Users can share the membership poster by sending a WeChat message or posting it on their Moments, which improves convenience.
[0074] like Figure 5 As shown, in one embodiment, Figure 1 Step S130 in the illustrated embodiment includes, but is not limited to, the following steps:
[0075] Step S510: The conference server determines the topic label of the target topic information based on the preset topic division strategy and target topic information;
[0076] Step S520: The conference server divides the target topic information according to the topic tags to obtain several topic sets, wherein each topic set is a collection of multiple target topic information.
[0077] In step S530, the meeting server determines at least one meeting scheme based on the preset meeting duration threshold, target topic duration, and topic set, wherein the meeting scheme corresponds to at least one topic set.
[0078] It is understandable that by using a topic segmentation strategy, a topic label is determined for each target topic information, and then the target topic information is classified according to the topic label and assigned to the corresponding topic set. Target topic information with the same topic label can solve the same type of problem. When determining the meeting plan, each topic set is treated as a whole, and each meeting plan is determined according to the meeting time threshold. Each meeting plan corresponds to at least one topic set, which can ensure that each meeting plan can solve at least one type of problem, thereby ensuring the reliability of each meeting plan.
[0079] It should be noted that when the sum of the durations of all target topics corresponding to any topic set exceeds the meeting duration threshold, it indicates that the scope of topic labeling is too large. In this case, it is necessary to adjust the topic segmentation strategy, narrow the scope of topic labeling, thereby reducing the amount of target topic information contained in the topic set, so that the sum of the durations of all target topics corresponding to each topic set is less than the meeting duration threshold.
[0080] like Figure 6 As shown, in one embodiment, the meeting creation information includes the meeting time; Figure 1 Step S150 in the illustrated embodiment includes, but is not limited to, the following steps:
[0081] Step S610: The target terminal responds to the remote conference invitation request and determines the conference link and conference time;
[0082] Step S620: The target terminal generates a calendar event based on the meeting time and the joining link;
[0083] Step S630: When the calendar event arrives, the target terminal triggers the meeting link to enter the remote meeting corresponding to the meeting plan.
[0084] Understandably, after receiving a remote meeting invitation request, the target terminal synchronizes with the calendar service and generates a calendar event based on the meeting link and meeting time. The first time is determined by the meeting time, which can be the same as the meeting time or earlier than the meeting time by a meeting preparation time. For example, if the meeting preparation time is 10 minutes and the meeting time is 15:00, the first time is 14:50. After the first time of the calendar event is reached, the target terminal will trigger the meeting link and then enter the corresponding remote meeting, which can ensure the reliability of the remote meeting.
[0085] It should be noted that calendar events are also bound to a second time, which is one meeting reminder duration earlier than the first time. For example, the meeting reminder duration can be 60 minutes, the first time is 15:00, and the second time is 14:00. Before the first time arrives, when the second time arrives, the target device will display a meeting reminder. For example, when the phone is locked, a prompt will pop up saying "The meeting starts in one hour", reminding the user to prepare to attend the remote meeting, which is convenient for the user's work arrangement.
[0086] like Figure 7 As shown, in one embodiment, the meeting creation information includes a meeting tag, and the meeting content information includes a meeting topic; Figure 6 Following step S610 in the illustrated embodiment, the following steps may also be included, but are not limited to:
[0087] Step S710: The target terminal determines the meeting tag and meeting topic based on the remote meeting invitation request;
[0088] Step S720: The target terminal categorizes the meeting topics according to the meeting time and meeting tags;
[0089] In step S730, the target terminal displays the categorized meeting topics.
[0090] Understandably, the target terminal displays a meeting list containing all meeting topics, allowing users to clearly identify the remote meetings they need to attend. The target terminal determines meeting tags and topics through meeting invitation requests, then categorizes meeting topics according to meeting time and tags, displaying the categorized topics in the meeting list. Within the meeting list, the target terminal categorizes meeting topics into two main categories based on meeting time: "In Progress" and "About to Begin." Within each main category, the target terminal further categorizes meeting topics into multiple subcategories based on meeting tags. Each meeting tag corresponds one-to-one with a subcategory. Each remote meeting is categorized according to these rules, enabling users to quickly locate the target remote meeting. For example, meeting tags indicate urgency, and these tags include, but are not limited to, high urgency, medium urgency, and low urgency.
[0091] It should be noted that after a remote meeting ends, it will be removed from the meeting list to ensure the simplicity of the meeting list display interface. Removed remote meetings can be viewed in the meeting history interface.
[0092] Additionally, refer to Figure 8 This application also provides a remote conferencing processing system, including:
[0093] The meeting server 810 is used to receive meeting creation information, which includes meeting content information, including multiple target topic information. The meeting server 810 is also used to sequentially input all target topic information into a trained duration prediction model to obtain the target topic duration for each target topic. The meeting server 810 is also used to determine at least one meeting scheme based on a preset meeting duration threshold, target topic durations, and target topic information, wherein each meeting scheme corresponds to at least one target topic, and the sum of the durations of all target topics corresponding to the meeting scheme is less than the meeting duration threshold. The meeting server 810 is also used to generate a remote meeting invitation request for the meeting scheme based on the meeting creation information and the meeting scheme, and send the remote meeting invitation request to the target terminal.
[0094] The target terminal 820 is used to respond to a remote conference invitation request and enter a remote conference corresponding to the conference plan.
[0095] It is understood that the specific implementation of this remote conferencing processing system is basically the same as the specific embodiment of the remote conferencing processing method described above, and will not be repeated here. Based on this, the system receives meeting creation information containing meeting content information through the meeting server, then inputs all target topic information of the meeting content information into a trained duration prediction model, and then obtains the target topic duration of each target topic information through the duration prediction model. Then, it determines the meeting plan by combining the meeting duration threshold, and then generates a remote meeting invitation request through the meeting creation information and the meeting plan, and sends the meeting invitation request to the target terminal so that the target terminal can enter the corresponding remote meeting by responding to the meeting invitation request. This ensures that when solving problems in the financial industry through remote conferencing, the sum of the durations of all target topics corresponding to any meeting plan is less than the meeting duration threshold, which can control the meeting duration of remote meetings, avoid fatigue of participants, and ensure the quality of remote meetings.
[0096] It is worth noting that the target terminal 820 and the conference server 810 are connected via a communication network. The conference server 810 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. Additionally, the conference server 810 can also be a node server in a blockchain network. The target terminal 820 can be a personal computer (PC), mobile phone, smartphone, personal digital assistant (PDA), wearable device, pocket personal computer (PPC), tablet computer, a camera device, a data acquisition device, etc., but is not limited to these. The target terminal 820 and the conference server 810 can be connected directly or indirectly via wired or wireless communication, and this embodiment of the invention does not impose any limitations.
[0097] It should be noted that the conference server 810 and the target terminal 820 are used to implement the above-described remote conferencing processing method, for example, to execute the above-described... Figure 1 Method steps S110 to S150 Figure 2 Method steps S210 to S240, Figure 3 Method steps S310 to S330, Figure 4 Method steps S410 to S430, Figure 5 Method steps S510 to S530 in the text Figure 6 Method steps S610 to S630 in the text Figure 7 Method steps S710 to S730.
[0098] This application embodiment also provides a storage medium, which is a computer-readable storage medium for computer-readable storage. The storage medium stores one or more programs, which can be executed by one or more processors to implement the above-described remote conferencing processing method, for example, executing the above-described... Figure 1 Method steps S110 to S150 Figure 2 Method steps S210 to S240, Figure 3 Method steps S310 to S330, Figure 4 Method steps S410 to S430, Figure 5 Method steps S510 to S530 in the text Figure 6 Method steps S610 to S630 in the text Figure 7 Method steps S710 to S730.
[0099] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
[0100] The remote conferencing processing method, system, and storage medium provided in this application embodiment receive conferencing creation information through a conferencing server. The conferencing creation information includes conferencing content information, which includes multiple target topic information. The conferencing server sequentially inputs all target topic information into a trained duration prediction model to obtain the target topic duration for each target topic. Based on a preset conferencing duration threshold, the target topic durations, and the target topic information, the conferencing server determines at least one conferencing scheme. Each conferencing scheme corresponds to at least one target topic, and the sum of the durations of all target topics corresponding to the conferencing scheme is less than the conferencing duration threshold. Based on the conferencing creation information and the conferencing scheme, the conferencing server generates a remote conferencing invitation request for the conferencing scheme and sends the remote conferencing invitation request to the target terminal. The target terminal responds to the remote conferencing invitation request and enters the remote conferencing corresponding to the conferencing scheme. Based on this, the system receives meeting creation information containing meeting content from the meeting server. Then, it inputs all target topic information from the meeting content into a trained duration prediction model. The model then calculates the target topic duration for each topic and combines this with a meeting duration threshold to determine the meeting plan. Finally, it generates a remote meeting invitation request based on the meeting creation information and the meeting plan, and sends the invitation to the target terminal. The target terminal then responds to the invitation request to join the corresponding remote meeting. This system ensures that, when resolving work-related issues in the financial industry via remote conferencing, the sum of the durations of all target topics for any given meeting plan is less than the meeting duration threshold. This allows for control over the duration of remote meetings, preventing participant fatigue and ensuring the quality of remote meetings.
[0101] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.
[0102] It will be understood by those skilled in the art that Figures 1 to 7 The technical solutions shown do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.
[0103] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.
[0104] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.
[0105] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0106] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.
[0107] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0108] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0109] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0110] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0111] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.
Claims
1. A remote conferencing processing method, characterized in that, include: The meeting server receives meeting creation information, which includes meeting content information, and the meeting content information includes multiple target topic information. The conference server sequentially inputs all the target topic information into the trained duration prediction model to obtain the target topic duration for each of the target topic information. The meeting server determines at least one meeting scheme based on a preset meeting duration threshold, the target topic duration, and the target topic information, wherein the meeting scheme corresponds to at least one of the target topic information, and the sum of the durations of all the target topics corresponding to the meeting scheme is less than the meeting duration threshold; The meeting server generates a remote meeting invitation request for the meeting plan based on the meeting creation information and the meeting plan, and sends the remote meeting invitation request to the target terminal. The target terminal responds to the remote conference invitation request and enters the remote conference corresponding to the conference scheme.
2. The method according to claim 1, characterized in that, The duration prediction model is trained through the following steps: The conference server acquires information on multiple historical topics and the duration of each historical topic. The conference server sequentially inputs all the historical topic information into a preset prediction model to obtain the training topic duration for each of the historical topic information. The meeting server constructs the mean squared error loss function of the prediction model based on the difference between the training topic duration and the historical topic duration. The conference server updates the model parameters of the prediction model based on the mean squared error loss function and the preset gradient descent algorithm to obtain the duration prediction model.
3. The method according to claim 2, characterized in that, The formula for the mean squared error loss function is: ， in, The mean square error loss is determined by the mean square error loss function. The quantity of information on the aforementioned historical issues. For the first The duration of each historical issue mentioned above. For the first The training duration for each of the historical topic information provided. ,and , All are positive integers.
4. The method according to claim 1, characterized in that, The conference server generates a remote conference invitation request for the conference plan based on the conference creation information and the conference plan, and sends the remote conference invitation request to the target terminal, including: The meeting server generates a remote meeting invitation request for the meeting plan based on the meeting creation information and the meeting plan. The conference server generates remote communication information or local communication messages based on the remote conference invitation request. The remote communication information includes at least one of the following: email message, SMS message, link information, and QR code information. The local communication message includes at least one of the following: Bluetooth communication message, Wi-Fi communication message, and NFC communication message. The conference server sends the remote communication information or the local communication message to the target terminal so that the target terminal receives the remote conference invitation request.
5. The method according to claim 1, characterized in that, The conference server generates a remote conference invitation request for the conference plan based on the conference creation information and the conference plan, and sends the remote conference invitation request to the target terminal, including: The meeting server generates a remote meeting invitation request for the meeting plan based on the meeting creation information and the meeting plan. The meeting server generates a membership poster based on the remote meeting invitation request, wherein the membership poster includes a membership QR code, and the membership QR code is used to carry the remote meeting invitation request; The conference server sends the membership poster to the target terminal, so that the target terminal can scan the membership QR code to obtain the remote conference invitation request.
6. The method according to claim 1, characterized in that, The meeting server determines at least one meeting plan based on a preset meeting duration threshold, the target topic duration, and the target topic information, including: The conference server determines the topic tag of the target topic information based on the preset topic division strategy and the target topic information; The conference server divides the target topic information according to the topic tags to obtain several topic sets, wherein each topic set is a collection of multiple target topic information; The meeting server determines at least one meeting scheme based on a preset meeting duration threshold, the target topic duration, and the topic set, wherein the meeting scheme corresponds to at least one of the topic sets.
7. The method according to claim 1, characterized in that, The meeting creation information includes the meeting time; the target terminal responds to the remote meeting invitation request and enters the remote meeting corresponding to the meeting scheme, including: The target terminal responds to the remote conference invitation request by determining the conference link and the conference time; The target terminal generates a calendar event based on the meeting time and the joining link; Upon the arrival of the calendar event, the target terminal triggers the meeting link to enter the remote meeting corresponding to the meeting plan.
8. The method according to claim 7, characterized in that, The meeting creation information includes a meeting tag, and the meeting content information includes a meeting topic; after the target terminal responds to the remote meeting invitation request and determines the meeting link and meeting time, the process further includes: The target terminal determines the meeting tag and the meeting topic based on the remote meeting invitation request; The target terminal categorizes the meeting topics based on the meeting time and the meeting tags; The target terminal displays the categorized meeting topics.
9. A remote conferencing processing system, characterized in that, include: A meeting server is configured to receive meeting creation information, wherein the meeting creation information includes meeting content information, and the meeting content information includes multiple target topic information; the meeting server is further configured to sequentially input all the target topic information into a trained duration prediction model to obtain the target topic duration for each target topic information; the meeting server is further configured to determine at least one meeting scheme based on a preset meeting duration threshold, the target topic duration, and the target topic information, wherein the meeting scheme corresponds to at least one of the target topic information, and the sum of the durations of all the target topics corresponding to the meeting scheme is less than the meeting duration threshold; the meeting server is further configured to generate a remote meeting invitation request for the meeting scheme based on the meeting creation information and the meeting scheme, and send the remote meeting invitation request to the target terminal; The target terminal is used to respond to the remote conference invitation request and enter the remote conference corresponding to the conference scheme.
10. A storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the remote conferencing processing method as described in any one of claims 1 to 8.