CN117557427B - Big data based school information consultation system - Google Patents

Big data based school information consultation system Download PDF

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CN117557427B
CN117557427B CN202311727339.7A CN202311727339A CN117557427B CN 117557427 B CN117557427 B CN 117557427B CN 202311727339 A CN202311727339 A CN 202311727339A CN 117557427 B CN117557427 B CN 117557427B
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compensation
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queue
abnormal
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CN117557427A (en
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余颖
车书
何歆
庄俊伟
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Guangzhou Qide Education Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063114Status monitoring or status determination for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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    • G06Q10/0635Risk analysis of enterprise or organisation activities

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Abstract

The invention relates to the technical field of information consultation, in particular to a system for selecting school information consultation based on big data reservation. Including the advisory services system, further including: the abnormal state compensation system is used for judging whether the service side is in an abnormal service state in the communication period, generating a compensation service queue according to the abnormal service state, and re-determining the service side which distributes service to the user based on the compensation service queue; the risk service judging system is used for determining an associated service party; and the compensation state regulation system is used for adjusting the sequence position to regenerate the compensation service queue. And combining the associated feature points formed by the compensation service queue and the abnormal service state, judging whether an associated service party exists in the compensation service queue and adjusting the service parties sequentially arranged in the compensation service queue, so that when the service party is distributed to the user through the determination in the compensation service queue, the service party with smaller service risk can be provided, and the uninterrupted of the consultation service system is further ensured.

Description

Big data based school information consultation system
Technical Field
The invention relates to the technical field of information consultation, in particular to a system for selecting school information consultation based on big data reservation.
Background
At present, in order to facilitate analysis and recommendation of schools selected by student users for reservation, various reservation, school selection and consultation systems exist on the market at present so as to make corresponding school selection comments according to actual demands of the student users.
However, for the current study selection and correction consultation system, a plurality of screening conditions are usually set, so that student users can recommend the study to be studied by inputting the predetermined screening conditions in the consultation process, but in practical application, although the mode can rapidly screen the school targets under the predetermined conditions, the student users usually cannot be pre-known to all study schools in the field, so that the screened study schools are formed only by the screening conditions, and the student users only judge and know the schools through the picture data on the surface and the published fixed data information on the internet, so that the study selection and correction consultation system has a certain limitation;
Or at present, some learning-reserving, school-selecting and consulting systems can set services for forming consultation by communicating between a service party and a user, but when the service party and the user are matched, when the service party matched in advance is abnormal in the process of serving the user, namely, when the service is not made according to the originally set condition, a service party with smaller service risk can be determined for the user, so that the continuity and uninterrupted performance of the service are ensured, and the normal operation of the system when the user consults through the learning-reserving, school-selecting and consulting systems is ensured, so that the problem that the user needs to solve at present is provided with stable consulting services.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides the system for consulting the information of the reserved school based on big data, which can effectively solve the problem that in the practical application process of the system for consulting the reserved school based on big data, the reserved school information is determined to have certain consulting limitation through single screening conditions, and meanwhile, when the service side is matched, the service side is in an abnormal service state, so that a user cannot acquire the service side with smaller service risk, and the user is inconvenient to consult the information.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the invention provides a big data-based learning-remaining school selection information consultation system, which comprises a consultation service system for enabling a user to conduct information consultation, wherein the consultation service system is also used for creating a service party and a communication time period so as to recommend the user to conduct information consultation communication with the service party in the communication time period, and further comprises the following steps:
the abnormal state compensation system is used for judging whether the service side is in an abnormal service state in the communication period, generating a compensation service queue according to the abnormal service state, and re-determining the service side which distributes service to the user based on the compensation service queue;
the risk service judging system is used for determining a plurality of service sides in an abnormal service state, judging whether the plurality of service sides have associated feature points or not, determining the service sides associated with the plurality of service sides in the consultation service system based on the associated feature points, and generating associated service sides;
A compensation status regulating system for determining sequence positions of the associated service party in the compensation service queue to regenerate the compensation service queue by adjusting the sequence positions, wherein:
When the associated service party generates, the compensation state regulation system is also used for regulating and controlling the response time length of the associated service party, and regulating and controlling the service state of the consultation service system based on the response time length.
Further, the counseling service system includes:
The consultation service platform is used for enabling the user to conduct information consultation;
the screening classification recommending module is connected with the output end of the consultation service platform and is used for setting screening conditions and generating school information according to the screening conditions;
Further comprises:
And the communication service consultation module is connected with the output end of the screening classification recommendation module and is used for creating a service party and a communication time period according to school information so as to recommend a user to communicate with the service party corresponding to the school information in the communication time period.
Further, the abnormal state compensation system includes:
The abnormal service judging module is used for setting a duration threshold value of the service, judging the service party in an abnormal service state in the duration threshold value when the user communicates with the service party in a communication period, and determining other service parties in the consultation service platform when judging the service party in the abnormal service state;
the compensation service sequence module is connected with the output end of the abnormal service judging module and is used for determining the instant service duration corresponding to the abnormal service state service party when other service parties generate, determining the difference value between the instant service duration and the duration threshold value and determining the residual service duration of the abnormal service state service party, wherein:
judging the remained other service time length between other service parties and users in the consultation service platform;
Judging service response rates between other service parties and users in the consultation service platform, determining the service party according to the service response rates and other service time lengths from high to low, and generating a compensation service queue according to the service response rates and the service time lengths;
And the compensation service judging module is connected with the compensation service sequence module and is used for determining a service party from high to low in the compensation service queue so as to distribute the service party to the user corresponding to the abnormal service state for service.
Further, when the compensation service queue is generated:
When other service parties are determined, the service party is determined in advance from high to low in a compensation service queue according to the service response rate and other service time lengths on the basis of the residual service time length, wherein:
And when no service party matched with the residual service duration exists in the compensation service queue, re-determining the service party matched with the residual service duration by the sum of a plurality of other service durations in the compensation service queue, wherein:
when there is a service party whose sum of a plurality of other service durations matches the remaining service durations, the service party is redetermined from high to low according to the service response rate.
Further, when the abnormal service judging module judges that the server is in the abnormal service state within the time threshold, setting judging conditions includes:
setting a single response time threshold, and judging an abnormal service state when the service side does not answer within the single response time threshold.
Further, the risk service determination system includes:
the associated feature analysis module is used for determining the service sides of which the multiple positions are in the abnormal service state and judging whether associated feature points exist among the service sides of which the multiple positions are in the abnormal service state;
and the service association judging module is connected with the output end of the association characteristic analysis module and is used for determining a service party associated with the association characteristic points in the consultation service platform based on the association characteristic points when the association characteristic points exist and generating an association service party.
Further, the compensation state regulation system includes:
the compensation sequence regulation and control module is used for determining whether the associated service party is in a compensation service queue, and when the associated service party is in the compensation service queue, the compensation sequence regulation and control module executes the following steps:
determining and marking the difference between the instant service time length and the time length threshold value of the associated service party in the compensation service queue as the associated service time length, and
Determining a service party lower than the compensation threshold in the compensation service queue by taking the residual service duration as the compensation threshold;
determining whether the associated service duration is above a compensation threshold:
when the service time is higher than the compensation threshold, calling the associated service party corresponding to the associated service time to the last sequence of the service party lower than the compensation threshold, and re-regenerating the compensation service queue;
When the service time is lower than the first service time, calling the associated service party corresponding to the associated service time to the tail end sequence in the compensation service queue, and re-regenerating the compensation service queue;
when the response rate is equal to the average response rate between the service side and the user, determining the associated response rate between the associated service side and the user in the compensation service queue, and judging whether the associated response rate is higher than the average response rate or not:
when the service time is higher than the compensation threshold, calling the associated service party corresponding to the associated service time to the last sequence of the service party lower than the compensation threshold, and re-regenerating the compensation service queue;
When the service time is lower than the first service time, calling the associated service party corresponding to the associated service time to the tail end sequence in the compensation service queue, and re-regenerating the compensation service queue;
And when the service duration is equal to the service duration, calling the associated service party corresponding to the associated service duration into the end sequence in the compensation service queue, and reconstructing the compensation service queue.
Further, the compensation state regulation system further comprises a service aging regulation module, when the associated service party is determined in the compensation service queue:
Regulating and controlling the single response time threshold of the associated service party, and re-executing the abnormal state compensation system, the risk service judgment system and the compensation state regulation system when the associated service party does not respond under the regulated single response time threshold.
Further, when the service side in the abnormal service state is generated, a limiting service threshold is set, and whether the service side is rejected by the consultation service system is judged based on the limiting service threshold.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
1. The method comprises the steps of pre-storing the reservation schools of different countries in the consultation service system, creating communication time periods, and communicating recommended time for the user journey in advance, so that the user can conveniently consult and communicate through the consultation service system, and in the process of consulting and communicating, the abnormal state compensation system determines the service party in the abnormal service state, and generates a compensation service queue in the consultation service system to re-determine the service party for distributing services to the user, thereby ensuring uninterrupted operation of the consultation service.
2. And combining the associated feature points formed by the compensation service queue and the abnormal service state to judge whether an associated service party exists in the compensation service queue, so as to judge whether to adjust the service party which is sequentially arranged in the compensation service queue, so that when the service party is determined to be distributed to the user in the compensation service queue, the service party with smaller service risk can be provided, the uninterrupted performance of the consultation service system is further ensured, and meanwhile, the stability of the consultation service system when the consultation service system makes service to the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is an overall block diagram of the module of the present invention.
Reference numerals in the drawings represent respectively:
100. A counseling service system;
110. a counseling service platform; 120. screening and classifying the recommendation module; 130. an exchange service consultation module;
200. An abnormal state compensation system;
210. an abnormal service determination module; 220. a compensation service sequence module; 230. a compensation service determination module;
300. a risk service determination system;
310. The associated feature analysis module; 320. a service association determination module;
400. a compensation state regulation system;
410. A compensation sequence regulation module; 420. and a service aging regulation module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1 (see fig. 1): the consultation service system 100 is further used for creating a service party and a communication period to recommend the user to conduct information consultation communication with the service party in the communication period, in this embodiment, people capable of responding to the consultation service in different reservation schools are selected in advance, that is, the service party is stored in the consultation service system 100, it is required to explain that, in general, for reservation, the school selected by the user is abroad, that is, the scheme is designed by the user selecting abroad reservation schools in China, therefore, in this case, it is required to determine a time difference according to the time in China and the time in different countries in China, and in consideration of the situation that the user can conduct communication between the service parties, that is, the communication period is a period of time that can be accepted by both parties, for example, 9-12 o 'clock in the morning when the domestic Beijing time is 10 months and 9 days, and can correspond to 20-23 o' clock in the evening when the time difference between the united states and the domestic is typically 13 hours and the time is 10 months and 8 days, which is a communication period, that is, when the user determines that the primary school needs to be communicated through the counseling service system 100, the counseling service system 100 needs to log in the period of time, and the counseling service system 100 can recommend a service party capable of carrying out information counseling communication to the user so as to enable the user to actually know about the primary school, improve the information learning perfection of the primary school, and provide auxiliary service counseling comments to the user for selecting the primary school (what needs to be described, pre-storing different service parties according to different reservation schools in the consultation service system 100);
Next, in this case, in order to solve the problem that the service party does not timely make a service to the user, the service party matched with the consultation service system 100 cannot make a corresponding service, and when the information data of the school for keeping the study is affected by the consultation of the user:
The abnormal state compensation system 200 is configured to determine whether the service party is in an abnormal service state in the communication period, generate a compensation service queue according to the abnormal service state, and re-determine the service party allocated to the user for service based on the compensation service queue; the abnormal service state service side is determined in advance through the abnormal state compensation system 200, and then the service side capable of carrying out service to the user is redetermined through the abnormal state compensation system 200, in particular, the service side for carrying out service is redetermined by the compensation service queue, so that the user is ensured to obtain the service side matched with the information data consultation of the school for reservation, and the requirement of the user on consultation and communication is met;
A risk service determining system 300 for determining a plurality of service parties in an abnormal service state, determining whether or not there are associated feature points among the plurality of service parties, determining a service party associated with the plurality of service parties in the advisory service system 100 based on the associated feature points, and generating an associated service party;
The compensation status regulating system 400 is used for determining the sequence positions of the associated service side in the compensation service queue so as to regenerate the compensation service queue by adjusting the sequence positions.
According to the setting of the advisory service system 100 and the abnormal state compensation system 200, in order to make risk assessment on the service side corresponding to the existing abnormal service state, so as to reduce the situation that the service side in the formed compensation service queue generates the abnormal service state again when the service side in the formed compensation service queue serves the subsequent user, therefore, after the risk service determination system 300 determines the associated service side between the service sides in the abnormal service state, that is, in the advisory service system 100, relative to other service sides, the associated service side has service risk, therefore, the compensation state regulation system 400 can make sequence adjustment on the associated service side with service risk in the compensation service queue so as to optimize the compensation service queue determined before, and when the service side in the abnormal service state is generated, regulate the service matching personnel selected in the compensation service queue and used for making service to the user corresponding to the service side in the abnormal service state, that is determined that a service side with relatively smaller service risk performs service to the user, so as to ensure continuous communication between the service sides, and reduce the service experience of the user influenced by the abnormal service state that occurs again.
In summary, the invention shows a technical scheme for solving the problem that in the actual application process of the conventional leave-behind school consultation system, actual experience information of schools cannot be given out due to condition screening of monomers, and meanwhile, when matching is performed on a server, a user cannot acquire the server with smaller service risk and is inconvenient for the user to perform information consultation due to the fact that the server is in an abnormal service state, as follows, the scheme is further described as follows:
the advisory services system 100 includes:
a counseling service platform 110 for allowing a user to perform information counseling;
The screening classification recommending module 120 is connected with the output end of the consultation service platform 110 and is used for setting screening conditions and generating school information according to the screening conditions; it should be noted that, in this case, the advisory service platform 110 is further configured to set a login restriction window, and limit the authorizer to login through the login restriction window, that is, the user (authorizer) needs to input an authorized account key, or identify that the authorized facial feature party can login to the platform, where screening conditions may be country, geographic location (specific), school charges, whether accommodation or not, including but not limited to screening conditions given by the present solution, so that the screening classification recommendation module 120 can give a school for reservation meeting the requirements of the user in advance.
Further comprises:
The communication service consultation module 130 is connected with the output end of the screening classification recommendation module 120 and is used for creating a service party and a communication time period according to school information so as to recommend a user to communicate with the service party corresponding to the school information in the communication time period; accordingly, when the user needs to perform information consultation and communication in the screened school, the communication service consultation module 130 needs to determine whether the user is currently in the communication period, and when the user is not in the communication period, the communication service consultation module sends the communication request to the user, specifically to the terminal device of the user, and recommends the user to enter the platform to communicate with the service party in the communication period.
The abnormal state compensation system 200 includes:
An abnormal service determining module 210, configured to set a duration threshold of a service, determine a service party in an abnormal service state within the duration threshold when the user communicates with the service party in the communication period, and determine other service parties within the advisory service platform 110 when determining the service party in the abnormal service state; when the user enters the platform in the communication period, the consultation service platform 110 is matched with a corresponding service side (a service side corresponding to the consultation school and a student in the consultation school) for the user according to the consultation reservation school selected by the user, and meanwhile, the service side meets the information consultation proposed by the user in the time threshold by defining the time threshold of the service side for the user service (for example, the information consultation communication between the service side and the user is 20 minutes), and the solution communication is carried out;
Then, setting a single response time threshold (for example, the consultation problem raised by the user, limiting the service party to respond within a limited time, wherein the limited time is the single response time threshold, which can be 3 minutes, and the scheme is not limited) by the abnormal service judging module 210 to execute an abnormal service state judging condition, and when the single response time threshold is exceeded and no response is made, judging the abnormal service state by the abnormal service judging module 210 to end the consultation service of the service party;
Next, to handle the abnormal service state:
The output end connection of the abnormal service determination module 210 is formed by the compensation service sequence module 220, and is configured to determine an instant service duration corresponding to the abnormal service state service party when other service parties generate the abnormal service state service party, determine a difference between the instant service duration and a duration threshold, and determine a remaining service duration of the abnormal service state service party, where:
Determining other service durations remaining between other service parties and users within the advisory services platform 110;
judging service response rates between other service parties and users in the consultation service platform 110, determining the service party according to the service response rates and other service time lengths from high to low, and generating a compensation service queue according to the service response rates and the service time lengths;
and a compensation service determining module 230 connected to the compensation service sequence module 220, configured to determine a service party from high to low in the compensation service queue, so as to allocate the service party to a user corresponding to the abnormal service state for service, specifically:
When the abnormal service state service party is generated, the compensation service sequence module 220 determines another service party that distributes the subsequent service to the user corresponding to the abnormal service state service party in the advisory service platform 110, and for determining the other service party:
The present solution determines, by the compensation service sequence module 220, a difference between an instant service duration corresponding to an abnormal service state service party and a duration threshold, and determines a remaining service duration of the abnormal service state service party, that is, for a user corresponding to the abnormal service state service party, the user still remains a time for the service party to perform service under the duration threshold of the service, and simultaneously determines, in combination with a service response rate, the service response rate refers to determining a service response rate on the basis that other service parties (after avoiding the abnormal service state service party) in the consulting service platform 110 and the user still remain other service durations (time for acquiring a problem posed by the user, determining time for the other service parties to reply to the problem, determining a time difference between the two, summing all time differences in the consulting process to form a time sum, and simultaneously counting the number of times for replying/proposing the problem, wherein a ratio between the time and the number of times is a service response rate), and determining the service party according to the service response rate from high to low, and thus generating the compensation service queue according to the service response rate, and subsequently determining the time to the value from high to low to the corresponding to the user in the consulting service queue (after the situation is determined by the compensation service determination module is a time from high to low to the user, and the corresponding to the service queue is determined to be the high to the service in the state).
It should be noted that, the predetermined party with the highest service response rate and the longest duration of other service durations is the service party, when the service party is not present, the first target with the highest duration of other services is determined, and when the first targets are the same, the service party is determined from high to low by evaluating the service response rate, so as to provide the service party with smaller service risk for the user to perform service.
It should be noted that, when the compensation service queue is generated:
When other service parties are determined, the service party is determined in advance from high to low in the compensation service queue according to the service response rate and other service time lengths (the service party which is higher than or equal to the remaining service time length is determined in advance as the service party corresponding to the remaining service time length according to the high to low value), wherein the service response rate and the other service time lengths are used as the basis conditions:
When there is no service party matching with the remaining service duration in the compensation service queue, the service party matching with the remaining service duration in the sum of multiple other service durations is redetermined in the compensation service queue, in this embodiment, the matching means that the sum of multiple other service durations is equal to the remaining service duration, for example: two other service durations are equal to the remaining service durations, wherein two are a group;
it should be noted that, if there are multiple groups, for example, two groups, that can satisfy the above-mentioned other service duration is equal to the remaining service duration, the service party needs to be redetermined again from high to low according to the service response rate, so as to determine the service party with better service.
The risk service determination system 300 includes:
The association characteristic analysis module 310 is configured to determine that multiple servers in an abnormal service state determine whether association characteristic points exist between the multiple servers in the abnormal service state;
And a service association decision module 320 connected to the output end of the association feature analysis module 310, for determining a service party associated with the relevant feature point in the advisory service platform 110 based on the relevant feature point when the relevant feature point exists, and generating an associated service party; in this solution, the service parties stored in the advisory service platform 110 are usually students in a school for reservation, so the associated feature points may be the same school, where the same class exists, that is, when multiple service parties in abnormal service states are all in the same school, and the same class exists at the same time (having the same school subject and the same subject class, for this purpose, when the advisory service platform 110 is determined to store personnel information in advance, the above feature needs to be determined through data checking when the education class of the personnel needs to be obtained), the associated feature points are determined by the associated feature analysis module 310, that is, the platform determines that the service parties in abnormal service states are the same as each other, so the service association determination module 320 determines the service party associated with the service party in the compensation service queue based on the service party in the abnormal service state, that is to use the associated feature points as the associated screening condition, determines the associated service party in the compensation service queue, and the platform determines that the associated service party has the service risk in the abnormal service states in the foregoing, so the generated compensation service party needs to be adjusted to provide the user with a good and uninterrupted service for the user, thereby ensuring that the user experiences are not in a good and intermittent service is provided by the following way:
The compensation state regulation system 400 includes:
the compensation sequence regulation module 410 is configured to determine whether the associated service party is in the compensation service queue, and when the associated service party is in the compensation service queue, perform the following steps:
determining and marking the difference between the instant service time length and the time length threshold value of the associated service party in the compensation service queue as the associated service time length, and
Determining a service party lower than the compensation threshold in the compensation service queue by taking the residual service duration as the compensation threshold;
determining whether the associated service duration is above a compensation threshold:
When the service time is higher than the compensation threshold, calling the associated service party corresponding to the associated service time length into the last sequence (the last position of the sequence) of the service party below the compensation threshold, and re-regenerating the compensation service queue;
According to the above, that is, by readjusting the pre-allocation sequence of the service side in the compensation service queue, when the service side needs to be allocated by the compensation service queue, it can be predetermined that other service sides not being associated service sides serve the user, and other service durations of other service sides need to be higher than or equal to the compensation threshold, when other service sides do not exist, the determination manner in the present embodiment needs to be performed to determine the service side, and when the associated service side does not exist in the present embodiment, the following is performed:
When the service time is lower than the first service time, calling the associated service party corresponding to the associated service time to the tail end sequence in the compensation service queue, and re-regenerating the compensation service queue;
when the response rate is equal to the average response rate between the service side and the user, determining the associated response rate between the associated service side and the user in the compensation service queue, and judging whether the associated response rate is higher than the average response rate or not, wherein the following steps are carried out:
When the service time is higher than the average response rate (judging whether the associated response rate is higher than the average response rate), calling the associated service party corresponding to the associated service time length into the last sequence of the service party which is lower than the compensation threshold value, and re-regenerating the compensation service queue;
When the service time is lower than the first service time, calling the associated service party corresponding to the associated service time to the tail end sequence in the compensation service queue, and re-regenerating the compensation service queue;
And when the service duration is equal to the service duration, calling the associated service party corresponding to the associated service duration into the end sequence in the compensation service queue, and reconstructing the compensation service queue.
In this embodiment, the end sequence refers to that the sequence of the service side is at the last position of the compensating service queue sequence, and in this case, when the service side is allocated through the compensating service queue, the service side is allocated based on the sequence from high to low, so that the service side with smaller service risk can be provided in advance for the user to perform service.
Example 2
Further optimization was made on the basis of example 2: for example, when the sum of the two other service durations in one group cannot match the remaining service durations, matching is performed according to the sum of the other service durations in three groups, and the matching manner is the same as that described above, and when the sum of the other service durations in three groups cannot match the remaining service durations, the matching service party is analogized according to the forming manner in three groups, and otherwise is the same as that in embodiment 1.
Example 3
It should be noted that, the compensation status regulating system 400 further includes a service aging regulating module 420, when determining the associated service party in the compensation service queue:
The method is not limited by this case, and when the associated service side does not respond under the regulated single response time threshold, the steps of the abnormal state compensation system 200, the risk service determination system 300 and the compensation state regulation system 400 are re-executed, that is, when the associated service side is determined to be in the abnormal service state again after the step of the abnormal state compensation system 200 is executed, the above-mentioned scheme is executed in a synchronized manner by the risk service determination system 300 and the compensation state regulation system 400 in a re-circulation manner, which is also required to be described, in this embodiment, only for the associated service side.
Example 4
Based on the above embodiments 1-3, when a service party in an abnormal service state is generated, a limiting service threshold is set, and based on the limiting service threshold, it is determined whether to reject the service party from the advisory service system 100 (the advisory service platform 110), and for the limiting service threshold, it is given as an example, for example, 3 times, and no limitation is made here, so when the service party reaches the limiting service threshold, it needs to be rejected from the advisory service platform 110, so that it cannot execute the subsequent advisory service, so as to avoid the influence on the advisory service experience of the user.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; these modifications or substitutions do not depart from the essence of the corresponding technical solutions from the protection scope of the technical solutions of the embodiments of the present invention.

Claims (5)

1. The system for consulting information based on big data reservation and school selection comprises a consulting service system (100), and is characterized in that the consulting service system (100) is used for creating a service party and a communication period so as to recommend a user to carry out information consulting communication with the service party in the communication period, and further comprises:
An abnormal state compensation system (200) for determining whether the service party is in an abnormal service state in the communication period, generating a compensation service queue according to the abnormal service state, and re-determining the service party allocated to the user for service based on the compensation service queue;
a risk service determination system (300) for determining a plurality of service parties in an abnormal service state, determining whether or not there are associated feature points among the plurality of service parties, determining a service party associated with the plurality of service parties in the advisory service system (100) based on the associated feature points, and generating an associated service party;
a compensation status regulating system (400) for determining sequence positions of associated service parties in a compensation service queue for regenerating the compensation service queue by adjusting the sequence positions, wherein:
When the associated service party generates, the compensation state regulation system (400) is also used for regulating and controlling the response time length of the associated service party, and regulating and controlling the service state of the consultation service system (100) based on the response time length;
A counseling service platform (110) for making the user perform information counseling; the screening classification recommending module (120) is connected with the output end of the consultation service platform (110) and is used for setting screening conditions and generating school information according to the screening conditions; the system also comprises an exchange service consultation module (130) connected with the output end of the screening classification recommendation module (120) and used for creating a service party and a communication time period according to school information so as to recommend a user to communicate with the service party corresponding to the school information in the communication time period;
The abnormal state compensation system (200) includes: the abnormal service judging module (210) is used for setting a duration threshold of the service, judging the service party in an abnormal service state in the duration threshold when the user communicates with the service party in a communication period, and determining other service parties in the consultation service platform (110) when judging the service party in the abnormal service state; the compensating service sequence module (220) is connected with the output end of the abnormal service judging module (210) and is used for determining the instant service duration corresponding to the abnormal service state service side when other service sides generate, determining the difference value between the instant service duration and the duration threshold value and determining the residual service duration of the abnormal service state service side, wherein:
Determining other service durations remaining between other service parties and users within the advisory services platform (110);
judging service response rates between other service parties and users in the consultation service platform (110), determining the service party according to the service response rates and other service time lengths from high to low, and generating a compensation service queue according to the service response rates and the service time lengths;
and the compensation service judging module (230) is connected with the compensation service sequence module (220) and is used for determining a service party from high to low in the compensation service queue so as to distribute the service party to the user corresponding to the abnormal service state;
The compensation service queue is generated by: when other service parties are determined, the service party is determined in advance from high to low in a compensation service queue according to the service response rate and other service time lengths on the basis of the residual service time length, wherein: and when no service party matched with the residual service duration exists in the compensation service queue, re-determining the service party matched with the residual service duration by the sum of a plurality of other service durations in the compensation service queue, wherein: when a service party with the sum of a plurality of other service durations matched with the rest service durations exists, re-determining the service party again from high to low according to the service response rate;
the abnormal service determination module (210) sets a determination condition when determining a service party in an abnormal service state within a time period threshold, including:
setting a single response time threshold, and judging an abnormal service state when the service side does not answer within the single response time threshold.
2. The big data based college selection information consultation system of claim 1, characterised in that the risk service decision system (300) includes:
The association characteristic analysis module (310) is used for determining the servers with the plurality of positions in the abnormal service state and judging whether association characteristic points exist among the servers with the plurality of positions in the abnormal service state;
And a service association decision module (320) connected to the output of the association feature analysis module (310) for determining the service party associated with the association feature point in the advisory service platform (110) based on the association feature point and generating the association service party when the association feature point exists.
3. The big data based college selection information advisory system as claimed in claim 2, wherein the compensation status regulating system (400) includes:
The compensation sequence regulation module (410) is used for determining whether the associated service party is in a compensation service queue, and when the associated service party is in the compensation service queue, the following steps are executed:
determining and marking the difference between the instant service time length and the time length threshold value of the associated service party in the compensation service queue as the associated service time length, and
Determining a service party lower than the compensation threshold in the compensation service queue by taking the residual service duration as the compensation threshold;
determining whether the associated service duration is above a compensation threshold:
when the service time is higher than the compensation threshold, calling the associated service party corresponding to the associated service time to the last sequence of the service party lower than the compensation threshold, and re-regenerating the compensation service queue;
When the service time is lower than the first service time, calling the associated service party corresponding to the associated service time to the tail end sequence in the compensation service queue, and re-regenerating the compensation service queue;
when the response rate is equal to the average response rate between the service side and the user, determining the associated response rate between the associated service side and the user in the compensation service queue, and judging whether the associated response rate is higher than the average response rate or not:
when the service time is higher than the compensation threshold, calling the associated service party corresponding to the associated service time to the last sequence of the service party lower than the compensation threshold, and re-regenerating the compensation service queue;
When the service time is lower than the first service time, calling the associated service party corresponding to the associated service time to the tail end sequence in the compensation service queue, and re-regenerating the compensation service queue;
And when the service duration is equal to the service duration, calling the associated service party corresponding to the associated service duration into the end sequence in the compensation service queue, and reconstructing the compensation service queue.
4. The big data based college selection information advisory system of claim 3, wherein the compensation status regulating system (400) further comprises a service age regulating module (420) that when determining an associated service party in a compensation service queue:
regulating the single response time threshold of the associated service party, and re-executing the steps of the abnormal state compensation system (200), the risk service judgment system (300) and the compensation state regulation system (400) when the associated service party does not respond under the regulated single response time threshold.
5. The big data based college selection information advisory system of claim 1, wherein a limit service threshold is set when the service party of the abnormal service state is generated, and whether the service party is rejected from the advisory service system (100) is determined based on the limit service threshold.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003345871A (en) * 2002-05-28 2003-12-05 Ntt Docomo Inc Method and system for providing service
CN105049503A (en) * 2015-07-07 2015-11-11 深信服网络科技(深圳)有限公司 Server dispatching method and load balancing device
CN105808694A (en) * 2016-03-04 2016-07-27 上海携程商务有限公司 Online customer service response system and method
CN109033342A (en) * 2018-07-24 2018-12-18 北京京东尚科信息技术有限公司 Applied to the service providing method of service system, device and service model
CN110764963A (en) * 2018-07-28 2020-02-07 阿里巴巴集团控股有限公司 Service exception handling method, device and equipment
CN111105253A (en) * 2018-10-26 2020-05-05 上海惠侨教育科技有限公司 Online service system and method for outbound education
CN111858082A (en) * 2019-11-22 2020-10-30 北京嘀嘀无限科技发展有限公司 Prompt message sending method, prompt message output method, prompt message sending device, prompt message output device, electronic equipment and medium
CN112766656A (en) * 2020-12-31 2021-05-07 北京欧明利景科技有限公司 Intelligent study reservation service system platform
CN113190371A (en) * 2021-05-18 2021-07-30 京东数科海益信息科技有限公司 Task compensation method and device, electronic equipment and readable storage medium
CN115883626A (en) * 2021-12-30 2023-03-31 上海宝越盛腾信息技术有限公司 Internet-based multifunctional information technology consultation service system
CN116980526A (en) * 2022-04-21 2023-10-31 腾讯科技(深圳)有限公司 Method, device and equipment for realizing multi-channel queuing machine applied to converged communication

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8046429B2 (en) * 2007-06-25 2011-10-25 Nokia Corporation Service mobility for composed components
US20190095965A1 (en) * 2017-09-26 2019-03-28 Uber Technologies, Inc. System and method to detect service assignment outcomes in connection with arranged services

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003345871A (en) * 2002-05-28 2003-12-05 Ntt Docomo Inc Method and system for providing service
CN105049503A (en) * 2015-07-07 2015-11-11 深信服网络科技(深圳)有限公司 Server dispatching method and load balancing device
CN105808694A (en) * 2016-03-04 2016-07-27 上海携程商务有限公司 Online customer service response system and method
CN109033342A (en) * 2018-07-24 2018-12-18 北京京东尚科信息技术有限公司 Applied to the service providing method of service system, device and service model
CN110764963A (en) * 2018-07-28 2020-02-07 阿里巴巴集团控股有限公司 Service exception handling method, device and equipment
CN111105253A (en) * 2018-10-26 2020-05-05 上海惠侨教育科技有限公司 Online service system and method for outbound education
CN111858082A (en) * 2019-11-22 2020-10-30 北京嘀嘀无限科技发展有限公司 Prompt message sending method, prompt message output method, prompt message sending device, prompt message output device, electronic equipment and medium
CN112766656A (en) * 2020-12-31 2021-05-07 北京欧明利景科技有限公司 Intelligent study reservation service system platform
CN113190371A (en) * 2021-05-18 2021-07-30 京东数科海益信息科技有限公司 Task compensation method and device, electronic equipment and readable storage medium
CN115883626A (en) * 2021-12-30 2023-03-31 上海宝越盛腾信息技术有限公司 Internet-based multifunctional information technology consultation service system
CN116980526A (en) * 2022-04-21 2023-10-31 腾讯科技(深圳)有限公司 Method, device and equipment for realizing multi-channel queuing machine applied to converged communication

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