CN108764807A - A kind of information processing method and intelligent meeting system - Google Patents

Abstract

The present application provides an information processing method and an intelligent meeting system, the method comprising: acquiring meeting information and/or participant information; creating an adapted meeting arrangement plan based on the meeting information and/or participant information; Wherein, the meeting arrangement scheme includes participant arrangement information and/or meeting process arrangement information. The information processing method of the present application can provide a set of optimal conference plans according to the currently input scheduled participant information and conference theme information, which greatly improves conference efficiency.

Description

An information processing method and an intelligent conference system

technical field

This application relates to the field of artificial intelligence models, in particular to an information processing method and an intelligent conference system.

Background technique

At present, when each company department wants to hold a meeting, the meeting host usually makes a meeting plan in advance, which usually includes the meeting theme, meeting procedure, etc. Specifically, it is necessary to book in advance what kind of situation the meeting will reflect and the problems to be solved. And because it is necessary for the participants to participate in the discussion, but due to the different personalities and areas of expertise of the participants, the existing moderators often do not plan the overall meeting according to the personalities and areas of expertise of the participants when customizing the conference plan. The process is adjusted so that the efficiency of the meeting is low, and the effective participation of the participants in the meeting is low.

Contents of the invention

The problem to be solved in this application is to provide an information processing method and an intelligent conference system that can provide a set of optimal conference plan information based on the currently input scheduled participant information and conference theme information.

In order to solve the above problems, this application provides an information processing method, including:

Obtain meeting information and/or participant information;

Create an adapted meeting arrangement scheme based on the meeting information and/or participant information;

Wherein, the meeting arrangement scheme includes participant arrangement information and/or meeting process arrangement information.

As a preference, the acquisition of participant information includes:

Obtain information on the appropriate time for one or more participants to participate in the meeting;

The meeting arrangement scheme for creating an adaptation includes:

determining a meeting time based on suitable meeting time information for the one or more participants;

Wherein, the time of the meeting includes: the time when the meeting starts and/or the duration of the meeting.

As a preference, the acquisition of participant information also includes:

Obtain the time zone information of one or more participants;

The meeting arrangement scheme for creating an adaptation includes:

The time of the meeting is determined according to the one or more time zone information.

As a preference, the acquisition of participant information also includes:

obtain availability information for one or more of said participants;

The meeting arrangement scheme for creating an adaptation includes:

According to the free time information of one or more participants, the time for each participant to attend the meeting is determined.

Preferably, the participant arrangement information includes one or more of the following: participant personnel information, participant speaking order information, participant speaking time information;

The conference process arrangement information includes one or more of the following: conference process time information, conference link sequence information.

As preferred, also include:

Determine the meeting arrangement plan based on historical meeting information data;

Wherein, the historical conference information data includes historical participant information and/or historical conference process information.

As preferred, also include:

Obtain speech feature information of one or more historical participants;

Determine the participant arrangement information and/or conference progress arrangement information according to one or more historical participant speech feature information;

Wherein, the speech feature information includes one or more of the following:

Speech duration, number of speeches, characteristic information of speech content, and effective speech weight.

As preferred, also include:

Construct artificial intelligence model;

The acquisition of historical meeting information is specifically:

The artificial intelligence model acquires the historical meeting information, and trains the artificial intelligence model based on the historical meeting information;

The acquisition of scheduled meeting theme information and participant information, and determining the meeting plan information according to the historical meeting information, scheduled meeting theme information and participant list information are specifically:

The artificial intelligence training model after training obtains the scheduled meeting theme information and the participant information, and determines the conference plan information according to the historical meeting information, the scheduled meeting theme information and the participant information.

As a preference, the training of the artificial intelligence model based on the historical meeting information is specifically:

The effective speech weight of the artificial intelligence model is determined based on the total speech duration information and the effective speech times information of each historical meeting of the predetermined participants.

Preferably, the conference procedure information includes at least the speaking sequence information of the participants.

Preferably, the method further includes: the artificial intelligence model records the current meeting information, and updates based on the meeting information.

This application also provides an intelligent conference system at the same time, including:

an information obtaining module configured to obtain meeting information and/or participant information; and

A processing module configured to create an adapted meeting arrangement scheme based on the meeting information and/or participant information;

Wherein, the meeting arrangement scheme includes participant arrangement information and/or meeting process arrangement information.

As a preference, the acquisition of participant information includes:

Obtain information on the appropriate time for one or more participants to participate in the meeting;

The processing module is also configured to:

A time for the meeting is determined based on the suitable time information for the one or more participants.

Preferably, the participant arrangement information includes one or more of the following: participant personnel information, participant speaking order information, participant speaking time information;

The conference process arrangement information includes one or more of the following: conference process time information, conference link sequence information.

Preferably, the information obtaining module is further configured to obtain historical participant information and/or historical conference process information;

The processing module is further configured to determine the meeting arrangement scheme based on historical meeting information data.

Preferably, the information acquisition module is further configured to:

Obtain speech feature information of one or more historical participants, where the speech feature information includes one or more of the following:

Speech duration, number of speeches, characteristic information of speech content, effective speech weight;

The processing module is further configured to determine the participant arrangement information and/or conference progress arrangement information according to one or more speech feature information of the historical participants.

The beneficial effect of the present application is that it can provide a set of optimal conference plans according to the currently input scheduled participant information and conference theme information, etc., and improve the participants' effective participation in the conference and the overall efficiency of the conference.

Description of drawings

FIG. 1 is a flowchart of an information processing method in an embodiment of the present application.

Fig. 2 is a partial method flowchart of an information processing method in another embodiment of the present application.

Fig. 3 is a partial method flowchart of an information processing method in another embodiment of the present application.

FIG. 4 is a flow chart of the method for using the artificial intelligence training model in the embodiment shown in FIG. 3 of the present application.

Fig. 5 is a structural block diagram of an intelligent conference system in an embodiment of the present application.

Detailed ways

The application is described in detail below in conjunction with the accompanying drawings.

Below, specific embodiments of the present invention will be described in detail in conjunction with the accompanying drawings, but they are not intended to limit the present invention.

It should be understood that various modifications may be made to the embodiments disclosed herein. Accordingly, the above description should not be viewed as limiting, but only as exemplifications of embodiments. Those skilled in the art will envision other modifications within the scope and spirit of the disclosure.

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and, together with the general description of the disclosure given above and the detailed description of the embodiments given below, serve to explain the embodiments of the disclosure. principle.

These and other characteristics of the invention will become apparent from the following description of preferred forms of embodiment given as non-limiting examples with reference to the accompanying drawings.

It should also be understood that while the invention has been described with reference to a few specific examples, those skilled in the art can certainly implement many other equivalent forms of the invention, which have the features described in the claims and thus lie within the scope of the present invention. within the limited scope of protection.

The above and other aspects, features and advantages of the present disclosure will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.

Specific embodiments of the present disclosure are hereinafter described with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely examples of the disclosure, which may be embodied in various ways. Well-known and/or repetitive functions and constructions are not described in detail to avoid obscuring the disclosure with unnecessary or redundant detail. Therefore, specific structural and functional details disclosed herein are not intended to be limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present invention in virtually any suitable detailed structure. public. Those skilled in the art can understand that various combinations and/or combinations of the features described in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not explicitly recorded in the present disclosure. In particular, without departing from the spirit and teaching of the present disclosure, the various embodiments of the present disclosure and/or the features described in the claims can be combined and/or combined in various ways. All such combinations and/or combinations fall within the scope of the present disclosure.

While the present disclosure has been shown and described with reference to certain exemplary embodiments thereto, it should be understood by those skilled in the art that other modifications may be made without departing from the spirit and scope of the present disclosure as defined by the appended claims and their equivalents. Various changes in form and details have been made to this disclosure. Therefore, the scope of the present disclosure should not be limited to the above-described embodiments, but should be determined not only by the appended claims, but also by the equivalents of the appended claims.

This specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may refer to the same or one or more of the different embodiments.

Below, the embodiment of the present invention will be described in detail in conjunction with the accompanying drawings. As shown in FIG. 1, the embodiment of the present invention provides an information processing method, including:

Step S1: Obtain meeting information and/or participant information;

Step S2: Create an adapted meeting arrangement plan based on meeting information and/or participant information;

Wherein, the meeting arrangement plan includes participant arrangement information and/or meeting process arrangement information.

The information processing method in the embodiment of the present application can be applied to any kind of intelligent meeting APP. By using the information processing method in this embodiment, the user only needs to reserve the meeting information and/or participant information, such as the theme of the meeting information and the name information of the participants, the system will automatically create a meeting arrangement plan that matches the meeting theme and the participants according to the obtained information. The plan specifically includes the arrangement information of the participants, such as the attendance During this time period, the system will automatically open an interactive channel that allows participants' electronic devices to access the system, so that participants can obtain meeting content and participate in the meeting through this interactive channel, while the rest of the people who have nothing to do with the current meeting It is not allowed to enter the system to participate in the meeting, and the system will automatically block or automatically block the access of irrelevant personnel. At the same time, the meeting arrangement plan may also include meeting process arrangement information, such as which links are included during the meeting, the specific content arrangement and duration of each link, and other information. That is, as long as the user enters the scheduled meeting information and/or participant information into the system, the system can intelligently formulate a detailed and reasonable meeting plan, without the need for the user to set up a specific meeting plan, which greatly saves the user's time and energy , which provides convenience for users. Users only need to hold a meeting according to the meeting plan created by the system to complete the successful holding of the meeting.

Further, as shown in FIG. 2, step S1: obtain participant information, including:

Obtain information on the appropriate time for one or more participants to participate in the meeting;

Step S2: Create an adapted conference arrangement plan, including:

A time for the meeting is determined based on suitable time information for one or more participants. The time of the meeting specifically includes the time when the meeting starts and the duration of the meeting.

The meeting time information mentioned in step S1 can specifically be the free time of each participant, because the participant can only participate in the meeting when he is free. Specifically, since the work content of each participant is not necessarily the same, and they all belong to the same department, the free time of each participant is not the same. In addition, each participant usually participates in more than one meeting within a period of time. In order to avoid conflicts between the scheduled meeting time and other meetings of each participant, the system obtains the Free time, the time when the participants can participate in the meeting is determined by the free time, and then the specific meeting time is determined through step S2. Optionally, during specific implementation, the system may choose to obtain information about the time of participation of all participants, or first divide all participants according to their work departments. Usually, the free time of participants belonging to the same department is approximately The same (of course, it can also be different. If it is different, it is necessary to obtain the free time of each participant, or only obtain the free time of the more important participants in the meeting, and focus on making the final meeting according to the free time of the important participants. time), and then the system only needs to select a participant from each department to obtain its time information, and then integrate the time information of participants from all departments to determine the final meeting time.

Further, continue to combine with Figure 2, large-scale meetings are sometimes held for a long time in large enterprises, for example, the meeting is held within the time period of 2:00-6:30 pm on Monday, and people from multiple departments are required to Participation, after the system obtains the information on the time of participation of participants from various departments, the time of participation of each participant can be allocated and arranged according to time slots. For example, if the system detects that a participant is free from 2:00 to 3:00, and after 3:00 he is informed that he has been arranged for another meeting based on his electronic agenda information, it can Electronic agenda information, such as electronic schedules, electronic meeting reservations, etc., to know the scheduled time slots of the participants, and thus, the free time slots of the participants can be calculated. , the system will give priority to this participant to participate in the large-scale conference at 2:00-3:00, and the other participants' participation time can also be deduced and considered together. At the same time, since the participants in each time period may be different, the system will also adjust the meeting progress information according to the work content information of the participants participating in the meeting in each time period, such as the content involved in each link in the meeting and the solution to be solved. problems, etc., so that the corresponding participants in each link of the meeting can be familiar with the technical content involved in the current meeting, and can participate in solving technical problems to improve the efficiency of the meeting.

In addition, when the meeting is a video conference or telephone conference, the participants may not be limited to one country, but participants from multiple countries participate together. Since different countries have their own time zones, the problem of time difference is also Can not be ignored. Therefore, in order for the system to formulate a more reasonable meeting time, the system also needs to obtain the time zone information of one or more participants' regions in advance, and then perform comprehensive calculations based on one or more time zone information, and comprehensively consider the time difference factors to determine The time of the final meeting.

The system can intelligently determine the suitable meeting time for participants in multiple time zones based on the time zone where the participants are located. For example, if the participants are distributed in a certain time zone, such as China, and in another time zone, such as the United States, there is a time difference of N (for example, 12) hours between different time zones, then the system will preferably choose between 8:00 am and 10:00, corresponding to 20:00-22:00 U.S. time in the evening; or 8:00-10:00 U.S. time in the morning, corresponding to 20:00-22:00 Chinese time in the evening.

Further, the participant arrangement information described in step S2 includes one or more of the following: participant personnel information, participant speaking order information, participant speaking time information; for example, the participant's name, Which parts of the conference need to speak, and the speaking order information of all participants who need to speak in the same session, etc.

The conference process arrangement information includes one or more of the following: conference process time information, conference link sequence information, that is, the duration information of each link in the conference and the sequence information of each link.

Further, the information processing method in this embodiment also includes:

Step S3: Based on the historical meeting information data, determine the meeting arrangement plan;

Wherein, the historical meeting information data includes historical participant information and/or historical meeting progress information. That is, the system can determine a specific conference arrangement plan for the scheduled conference according to the conference information scheduled by the user, participant information, and historical participant information and/or historical conference progress information. The historical participant information and/or historical process information may be information that has a certain degree of matching with the scheduled meeting information and participant information, so as to increase the reference value of the historical information.

For example, as shown in Figure 3, step S3 may specifically include:

Obtain speech characteristic information of one or more historical participants;

Determine participant arrangement information and/or conference progress arrangement information based on speech characteristic information of one or more historical participants;

Wherein, the speech characteristic information of each historical participant may include one or more of the following:

For example, the speaking duration of a single meeting or a certain link in a meeting, the total number of speeches in a single meeting or the number of speeches in a certain link in a single meeting, and the characteristic information of each speech in a single meeting (such as summary speeches or give specific and different suggested speeches) and effective speech weights (when applied to artificial intelligence models).

Specifically, as shown in Figure 4, in the actual application process, the system can implement step 3 in the following manner:

First construct an artificial intelligence model;

Afterwards, when the system acquires historical conference information, it will be:

The artificial intelligence model acquires historical meeting information, and trains the artificial intelligence model based on the historical meeting information, that is, determines the weights of the artificial intelligence training model.

After determining the weights of the artificial intelligence training model, the system can use artificial intelligence to obtain the scheduled meeting topic information and participant information, and determine the conference plan information based on historical meeting information, scheduled meeting topic information, and participant list information. The model is complete, that is:

Obtain the scheduled meeting theme information and participant information through the trained artificial intelligence training model, and determine the meeting plan information based on historical meeting information, scheduled meeting theme information, and participant information.

Specifically, the trained artificial intelligence model can learn and determine the "meeting ability" of each participant based on historical participant information, for example:

Embodiment 1: The artificial intelligence model roughly determines the sequence of speeches of the participants in the current meeting by acquiring the historical speech duration information of the participants. For example, when a participant speaks for a long time, he can be arranged to speak first, that is, the participant is arranged to speak at the front position in the speaking part of the conference process, and the participant who speaks for a short time Arrange it in the back position in the speech link of the meeting process, etc.

Embodiment 2: The artificial intelligence model roughly determines the speaking sequence and/or speaking duration of the participant in the current meeting by acquiring the historical number of speeches of the historical participant. If a participant speaks more times, arrange the participant to speak at the front or in the middle of the speaking link of the meeting process, so that the participant can drive or expand the experience of the rest of the participants. Moreover, when arranging them to speak in the middle, they can limit their speaking time, for example, they can be given a longer speaking time, so that they can express their own thoughts and what they think after hearing the speeches of other participants. content together. And if the number of speeches of the participant is less, arrange the participant to be in a position close to the mouth in the speech link of the conference process, so that the participant can combine the speeches of the previous participants to organize their thoughts, Then make a speech, and it can be given a relatively short speech time to ensure that the content of the speech is full and full within the effective speech time. Moreover, the artificial intelligence training model can also combine the speech duration information in Embodiment 1 and the number of speech information in this embodiment to determine the speaking order of the participants in the meeting process of this meeting, such as arranging a large number of speeches and a large number of speeches. Participants who speak for a long time will speak at the front position, and participants who speak for a short time and with a small number of speeches will be arranged to speak at the back.

Embodiment 3: The artificial intelligence model roughly determines the sequence of speeches of the participants in the current meeting by acquiring the characteristic information of the speech content of the historical participants. For example, when the intelligent model discovers that a participant's speech content can always better summarize the speech content information of previous participants through the characteristic information of historical speech content, or can always put forward better and innovative suggestions, etc., The artificial intelligence model can roughly judge whether the participant is good at summarizing speeches or making effective suggestions, and then arrange the participants who are good at concluding speeches to speak later in the speaking part of the meeting process, and arrange the participants who are good at making effective suggestions Participants speak first, or arrange for participants who are good at the content to speak first in the speech session to solve problems in the field of technology development and innovation, etc. In addition, the artificial intelligence training model can also use historical speech content feature information to obtain technical issues in a certain field, which participants are not in the technical field are also good at, and then the artificial intelligence model can arrange the speech session for the above technical fields. Participants also participated in the speeches. Similarly, the artificial intelligence model can also be combined with one or more methods in Embodiments 1 and 2 and this embodiment to comprehensively determine the specific meeting process of the participants, such as determining which participants participate in the speech in which links and how to make the speech. The order, for example, arrange the participants who speak for a short time, have a large number of speeches, and are good at concluding speeches to speak at a later stage in the meeting process, etc.

Embodiment 4: The weights of the artificial intelligence training model in this embodiment include effective speech weights. The effective speech weights are determined according to the total speech duration information and the number of effective speech times of the participants in each historical meeting. For example, the number of effective speeches made by a participant in a single meeting, that is, the number of speeches with constructive meaning or the number of speeches whose contents were unanimously approved by other participants and the moderator, and the total number of speeches in the meeting The ratio of the duration is the effective speaking weight. Through the effective speaking weight, the artificial intelligence model can give priority to the participants who have the same technical background as the technical theme of the meeting and have a higher effective speaking weight to speak in the meeting session with relatively tight time; or in the meeting process In the later stage, participants with higher effective speech weights will be arranged to speak to improve the meeting efficiency of the meeting session.

In addition, the artificial intelligence model can also roughly determine the participant's personality characteristics information based on the participant's historical speech content feature information and/or speech duration and/or the number of speech times. When speaking, they often talk humorously and are good at mobilizing the atmosphere of the meeting. Therefore, the artificial intelligence model can at least judge that the personality of the meeting participant will be more lively. When it is necessary to mobilize the atmosphere of the meeting, the participant can be arranged to speak first. Not only that, the artificial intelligence model can also judge if the person has the same or similar information as the meeting person by learning one or more of the person's professional skill information, work experience information, specific job information, and specific job content information. Participants usually have a more lively personality, so when you want to mobilize the atmosphere of the meeting, you can also arrange this participant to speak first. This makes it impossible for the artificial intelligence model to arrange wrong speaking time for such new participants when there are some new participants in the meeting, which makes the meeting fall into an embarrassing situation. After that, the artificial intelligence model can also judge the "conference ability" of some new participants with similar information of the above two types of participants by obtaining the detailed information of the above-mentioned participants, and assist in arranging their speeches at the meeting accordingly .

Preferably, in order to increase the ability of the artificial intelligence model to formulate a meeting plan, the intelligent model in this embodiment will also record the current meeting information and update it based on the meeting information. That is, for example, the meeting performance of some participants in the current meeting is significantly different from that of previous historical meetings, or the judgment of the character information of some participants is wrong, which leads to the unsuccessful arrangement of the speech for this participant , its performance has not reached the preset effect, or there are new participants, etc., the intelligent training model can update its own weight by collecting and learning the above information, so as to optimize the formulation of the next meeting.

As shown in Figure 5, an intelligent conference system is also provided in the embodiment of the present application, including:

an information obtaining module configured to obtain meeting information and/or participant information; and

A processing module configured to create an adapted meeting arrangement scheme based on meeting information and/or participant information;

Wherein, the meeting arrangement plan includes participant arrangement information and/or meeting process arrangement information.

The smart conference system in the embodiment of the present application can be applied to any kind of smart conference APP. By using the smart conference system in this embodiment, the user only needs to reserve the conference information and/or participant information, such as the theme of the conference Information and the name information of the participants, the processing module will automatically create a meeting arrangement scheme that matches the theme of the meeting and the participants according to the acquired information. The plan specifically includes the arrangement information of the participants, such as During this time period, the processing module will automatically open an interactive channel that allows participants' electronic devices to access the processing module, so that participants can obtain meeting content and participate in the meeting through this interactive channel, while the rest of the information is different from the current one. Persons irrelevant to the conference cannot enter the processing module to participate in the conference, and the processing module will automatically block or prevent the access of irrelevant persons. At the same time, the meeting arrangement plan may also include meeting process arrangement information, such as which links are included during the meeting, the specific content arrangement and duration of each link, and other information. That is, as long as the user inputs the scheduled meeting information and/or participant information into the processing module, the processing module can intelligently formulate a detailed and reasonable meeting plan, without the need for the user to set a specific meeting plan, which greatly saves the user's time and energy, providing convenience for users. Users only need to hold a meeting according to the meeting plan created by the processing module to complete the successful holding of the meeting.

Further, the information obtaining module includes steps when obtaining participant information:

Get information about the suitable time for one or more participants.

The processing module is also configured to:

A time for the meeting is determined based on suitable time information for one or more participants. The time of the meeting specifically includes the time when the meeting starts and the duration of the meeting.

The time information of the meeting can specifically be the free time of each participant, because the participant can only participate in the meeting when he is free. Specifically, since the work content of each participant is not necessarily the same, and they all belong to the same department, the free time of each participant is not the same. Moreover, usually each participant participates in more than one meeting within a period of time. In order to avoid the scheduled meeting time from conflicting with the participation time of other meetings of each participant, the processing module pre-acquires the The free time of the participant is determined by the free time to determine the time when the participant can participate in the meeting, and then the specific meeting time is determined through step S2. Optionally, during specific implementation, the processing module may choose to obtain information about the time of participation of all participants, or first divide all participants according to their work departments, usually the free time of participants belonging to the same department Roughly the same (of course, it can also be different. If they are different, you need to obtain the free time of each participant, or only obtain the free time of the more important participants in the meeting, and focus on making the final decision based on the free time of the important participants. meeting time), and then the processing module only needs to select a participant in each department to obtain its participation time information, and then integrate the participation time information of participants in all departments to determine the final meeting time time.

Furthermore, large enterprises sometimes hold large-scale meetings with a long duration. For example, the meeting is held within the time period of 2:00-6:30 pm on Monday, and people from multiple departments are required to participate. After the participation time information of the department participants, the participation time of each participant can be allocated and arranged according to the time period. For example, if the processing module detects that a participant is free at 2:00-3:00, and after 3:00, he is informed that he has been arranged for other meetings according to his electronic agenda information, he can Participants' electronic agenda information, such as electronic schedules, electronic meeting reservations, etc., to know the scheduled time slots of the participants, and thus, the free time slots of the participants can be calculated. , the processing module will prioritize the participant to participate in the large-scale conference at 2:00-3:00, and the other participants' participation time can also be deduced in the same way for aggregate consideration. At the same time, since the participants in each time period may be different, the processing module will also adjust the meeting process information according to the work content information of the participants participating in the meeting in each time period, such as the content involved in each link in the meeting and the required information. Solved problems, etc., so that the corresponding participants in each link of the meeting can be familiar with the technical content involved in the current meeting, and can participate in solving technical problems to improve the efficiency of the meeting.

In addition, when the meeting is a video conference or telephone conference, the participants may not be limited to one country, but participants from multiple countries participate together. Since different countries have their own time zones, the problem of time difference is also Can not be ignored. Therefore, in order for the processing module to formulate a more reasonable meeting time, the processing module also needs to obtain the time zone information of the region where one or more participants are located in advance, and then combine one or more time zone information to perform comprehensive calculations, comprehensively considering the time difference factor Determine the time for the final meeting.

The processing device can intelligently determine a meeting time slot that is suitable for participants in multiple time zones based on the time zones where the participants are located. For example, if the participants are distributed in a certain time zone, such as China, and in another time zone, such as the United States, there is a time difference of N (for example, 12) hours between different time zones, then the system will preferably choose between 8:00 am and 10:00, corresponding to 20:00-22:00 U.S. time in the evening; or 8:00-10:00 U.S. time in the morning, corresponding to 20:00-22:00 Chinese time in the evening.

Further, the participant arrangement information includes one or more of the following: participant information, participant speaking order information, participant speaking time information;

The conference process arrangement information includes one or more of the following: conference process time information, conference link sequence information, that is, the duration information of each link in the conference and the sequence information of each link.

Further, the information obtaining module is also configured to obtain historical participant information and/or historical conference progress information;

The processing module is further configured to determine a meeting arrangement scheme based on historical meeting information data.

Wherein, the historical meeting information data includes historical participant information and/or historical meeting process information. That is, the processing module may determine a specific conference arrangement plan for the scheduled conference according to the conference information scheduled by the user, participant information, and historical participant information and/or historical conference progress information. The historical participant information and/or historical process information may be information that has a certain degree of matching with the scheduled meeting information and participant information, so as to increase the reference value of the historical information.

For example, the information acquisition module acquires speech characteristic information of one or more historical participants;

The processing module determines participant arrangement information and/or conference progress arrangement information according to the speech characteristic information of one or more historical participants;

Wherein, the speech characteristic information of each historical participant may include one or more of the following:

For example, the speaking duration of a single meeting or a certain link in a meeting, the total number of speeches in a single meeting or the number of speeches in a certain link in a single meeting, and the characteristic information of each speech in a single meeting (such as summary speeches or give specific and different suggested speeches) and effective speech weights (when applied to artificial intelligence models).

The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent replacements to the present application within the spirit and protection scope of the present application, and such modifications or equivalent replacements shall also be deemed to fall within the protection scope of the present application.

Claims (10)

1. An information processing method, characterized in that, comprising: Obtain meeting information and/or participant information; Create an adapted meeting arrangement scheme based on the meeting information and/or participant information; Wherein, the meeting arrangement scheme includes participant arrangement information and/or meeting process arrangement information. 2. The method according to claim 1, wherein said acquiring participant information comprises: Obtain information on the appropriate time for one or more participants to participate in the meeting; The meeting arrangement scheme for creating an adaptation includes: A time for the meeting is determined based on the suitable time information for the one or more participants. 3. The method according to claim 1, wherein the participant arrangement information includes one or more of the following: participant personnel information, participant speaking order information, participant speaking time information ; The conference process arrangement information includes one or more of the following: conference process time information, conference link sequence information. 4. The method according to claim 1, further comprising: Determine the meeting arrangement plan based on historical meeting information data; Wherein, the historical conference information data includes historical participant information and/or historical conference process information. 5. The method according to claim 4, further comprising: Obtain speech feature information of one or more historical participants; Determine the participant arrangement information and/or conference progress arrangement information according to one or more historical participant speech feature information; Wherein, the speech feature information includes one or more of the following: Speech duration, number of speeches, characteristic information of speech content, and effective speech weight. 6. An intelligent conference system, characterized in that it comprises: an information obtaining module configured to obtain meeting information and/or participant information; and A processing module configured to create an adapted meeting arrangement scheme based on the meeting information and/or participant information; Wherein, the meeting arrangement scheme includes participant arrangement information and/or meeting process arrangement information. 7. The intelligent conference system according to claim 6, wherein said acquiring participant information includes: Obtain information on the appropriate time for one or more participants to participate in the meeting; The processing module is also configured to: A time for the meeting is determined based on the suitable time information for the one or more participants. 8. The intelligent conference system according to claim 6, wherein the participant arrangement information includes one or more of the following: participant information, participant speech order information, participant speech time information; The conference process arrangement information includes one or more of the following: conference process time information, conference link sequence information. 9. The intelligent conference system according to claim 6, wherein the information acquisition module is further configured to acquire historical participant information and/or historical conference process information; The processing module is further configured to determine the meeting arrangement scheme based on historical meeting information data. 10. The intelligent conference system according to claim 9, wherein the information acquisition module is further configured as: Obtain speech feature information of one or more historical participants, where the speech feature information includes one or more of the following: Speech duration, number of speeches, characteristic information of speech content, effective speech weight; The processing module is further configured to determine the participant arrangement information and/or conference progress arrangement information according to one or more speech feature information of the historical participants.