CN111597299A - Knowledge point monitoring method and device, computer equipment and storage medium - Google Patents
Knowledge point monitoring method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a knowledge point monitoring method, a knowledge point monitoring device, computer equipment and a storage medium. The method comprises the following steps: monitoring the access times of all knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions; counting the access times of the knowledge points to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points; and displaying the statistical result in real time. By adopting the method, the timeliness of knowledge point statistics can be improved.
Description
Technical Field
The present application relates to the field of intelligent customer service technologies, and in particular, to a method and an apparatus for monitoring knowledge points, a computer device, and a storage medium.
Background
With the development of artificial intelligence, the intelligent customer service robot is applied to various fields of work and life of people. For example, when shopping online, an intelligent customer service robot is used to interact with a user to determine the size of an article, the delivery time, the express delivery mode and the like.
At present, in order to count the high-frequency problems in the user questions every day or in a specified time period, a mode of manually deriving a customer service log and then performing frequency statistics according to the customer service log is generally adopted.
However, this approach is time-inefficient and labor intensive.
Disclosure of Invention
In view of the above, it is necessary to provide a knowledge point monitoring method, apparatus, computer device and storage medium capable of improving statistical timeliness.
A method of knowledge point monitoring, the method comprising:
monitoring the access times of all knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
counting the access times of each knowledge point to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and displaying the statistical result in real time.
In one embodiment, counting the number of access times of each knowledge point to obtain a statistical result includes:
acquiring a first access frequency of each knowledge point in a preset time period on the Nth day and a second access frequency of each knowledge point in the same time period on the N-1 th day; the Nth day is the display day;
calculating the access time expansion of each knowledge point according to the first access time and the second access time;
and sequencing the knowledge points according to the sequence of the access times from high to low to obtain a first sequencing result.
In one embodiment, the calculating the access time increase of each knowledge point according to the first access time and the second access time includes:
calculating a first difference value between the first access times and the second access times aiming at each knowledge point;
and calculating the ratio of the first difference to the second access times to obtain the access time fluctuation of the knowledge point.
In one embodiment, the displaying the statistical result in real time includes:
and displaying a first preset number of knowledge points in real time according to the first sequencing result.
In one embodiment, the counting the access times of the knowledge points to obtain a statistical result includes:
acquiring third access times of all knowledge points in the N-1 th day, and taking the knowledge points with the third access times larger than the preset times as target knowledge points; wherein, the Nth day is the display day;
acquiring fourth access times of each target knowledge point on the N-2 th day;
calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency;
and sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
In one embodiment, the calculating the visit number amplitude of each target knowledge point according to the third visit number and the fourth visit number includes:
calculating a second difference value between the third visit times and the fourth visit times aiming at each target knowledge point;
and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
In one embodiment, the displaying the statistical result in real time includes:
and displaying a second preset number of target knowledge points in real time according to the second sequencing result.
A knowledge point monitoring device, the device comprising:
the access frequency monitoring module is used for monitoring the access frequency of each knowledge point in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
the statistical module is used for carrying out statistics on the access times of the knowledge points to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and the display module is used for displaying the statistical result in real time.
In one embodiment, the statistical module is specifically configured to obtain a first access frequency of each knowledge point in a preset time period on the nth day and a second access frequency of each knowledge point in the same time period on the N-1 st day; the Nth day is the display day; calculating the access time expansion of each knowledge point according to the first access time and the second access time; and sequencing the knowledge points according to the sequence of the access times from high to low to obtain a first sequencing result.
In one embodiment, the statistical module is specifically configured to calculate, for each knowledge point, a first difference between the first access frequency and the second access frequency; and calculating the ratio of the first difference to the second access times to obtain the access time fluctuation of the knowledge point.
In one embodiment, the display module is specifically configured to display a first preset number of knowledge points in real time according to the first sorting result.
In one embodiment, the statistical module is specifically configured to obtain a third access frequency of each knowledge point on the (N-1) th day, and use the knowledge point with the third access frequency greater than a preset frequency as a target knowledge point; wherein, the Nth day is the display day; acquiring fourth access times of each target knowledge point on the N-2 th day; calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency; and sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
In one embodiment, the statistical module is specifically configured to calculate, for each target knowledge point, a second difference between the third access frequency and the fourth access frequency; and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
In one embodiment, the display module is specifically configured to display a second preset number of target knowledge points in real time according to the second sorting result.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
monitoring the access times of all knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
counting the access times of each knowledge point to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and displaying the statistical result in real time.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
monitoring the access times of all knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
counting the access times of each knowledge point to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and displaying the statistical result in real time.
The knowledge point monitoring method, the knowledge point monitoring device, the computer equipment and the storage medium monitor the access times of each knowledge point in a preset knowledge base; counting the access times of each knowledge point to obtain a statistical result; and displaying the statistical result in real time. According to the method and the device, the access times of the knowledge points can be counted and displayed in real time, monitoring personnel can take corresponding processing measures in time according to the counting result displayed in real time, and compared with the prior art that customer service logs are exported and counted according to the customer service logs, timeliness is improved.
Drawings
FIG. 1 is a diagram of an application environment of a knowledge point monitoring method in one embodiment;
FIG. 2 is a schematic flow chart diagram of a knowledge point monitoring method in one embodiment;
FIG. 3 is a flow chart illustrating statistics of access times of knowledge points to obtain a statistical result according to an embodiment;
FIG. 4 is a flow chart illustrating a statistical process of counting the access times of knowledge points to obtain a statistical result according to another embodiment;
FIG. 5 is a schematic flow chart diagram of a knowledge point monitoring method in another embodiment;
FIG. 6 is a block diagram showing the structure of a knowledge point monitoring apparatus according to an embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The knowledge point monitoring method provided by the application can be applied to the application environment shown in fig. 1. The application environment includes a terminal 101. Among them, the terminal 101 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.
In one embodiment, as shown in fig. 2, a knowledge point monitoring method is provided, which is described by taking the method as an example applied to the terminal in fig. 1, and includes the following steps:
In the embodiment of the application, the preset knowledge base comprises a plurality of knowledge points, and each knowledge point comprises a user question and a response corresponding to the user question. The knowledge points may also include similar questions to the user's questions. The embodiment of the present application does not limit this in detail, and can be set according to actual situations.
Taking online shopping as an example, the preset knowledge base at least comprises a knowledge point 1, a knowledge point 2 and a knowledge point 3, wherein the knowledge point 1 comprises a user question 1 'whether to be wrapped with mail' and a reply 1 'wrapped with mail' corresponding to the user question 1; the knowledge point 2 comprises a user question 2 'what express delivery' and a response 2 'A express delivery and B express delivery' corresponding to the user question 2; the knowledge point 3 includes a user question 3 "what time to ship" and a response 3 "3-5 days after payment" corresponding to the user question 3. The user question and the response corresponding to the user question are not limited in detail in the embodiment of the application, and can be set according to actual conditions.
It can be understood that, if one user question corresponds to different responses, the user question is combined with a plurality of responses respectively to obtain a plurality of knowledge points; if a plurality of user questions correspond to the same answer, each user question is combined with the answer to obtain a plurality of knowledge points.
In the interaction process of the intelligent customer service robot and the user, the access times of all knowledge points in a preset knowledge base are monitored. Specifically, the question input by the user is matched with the user questions included in each knowledge point, and if the question input by the user is matched with one of the user questions, the knowledge point corresponding to the user question is determined to be accessed. The number of the intelligent customer service robots and the number of the users are not limited in detail, and the intelligent customer service robots and the number of the users can be set according to actual conditions.
The questions input by the user are matched with the user questions, and character string matching and keyword matching can be adopted, or semantic matching is carried out by adopting a semantic recognition model. The matching mode is not limited in detail in the embodiment of the application, and can be set according to actual conditions.
In the embodiment of the application, the access condition of each knowledge point is monitored, and the access times of each knowledge point are counted to obtain a statistical result.
Wherein, a certain knowledge point can be counted. For example, the number of visits of the knowledge point 1 is a between 8:00 and 20:00 on 1 month and 1 day, and b between 8:00 and 20:00 on 1 month and 2 days. If b is greater than a, it can be determined that the statistical result is that for the same time period, the number of visits on day 2/1/month is increased by (b-a) times than the number of visits on day 1/month; or b is less than a, it may be determined that the statistics result is that the number of visits on day 2/1 month is reduced by (a-b) times from the number of visits on day 1/1 month for the same period.
Multiple knowledge points may also be counted and compared. For example, for knowledge point 1, the number of visits on day 2/1 month is increased by c times compared to the number of visits on day 1/1 month; for the knowledge point 2, the number of visits on day 2 in 1 month is increased by d times compared with the number of visits on day 1 in 1 month; if c is larger than d, it can be determined that the statistical result is that the increase of the access frequency of the knowledge point 1 is larger than the increase of the access frequency of the knowledge point 2. The statistical method is not limited in detail in the embodiment of the application, and can be set according to actual conditions.
And step 203, displaying the statistical result in real time.
In the embodiment of the application, after the statistical result is obtained, the statistical result is displayed in real time. For example, the number of visits of the knowledge point 1 in 1 month and 1 day and the number of visits in 1 month and 2 days are shown in real time; or displaying the improvement range of the access times of the knowledge point 1 and the improvement range of the access times of the knowledge point 2 in real time.
In the knowledge point monitoring method, the access times of each knowledge point in a preset knowledge base are monitored; counting the access times of each knowledge point to obtain a statistical result; and displaying the statistical result in real time. According to the method and the device, the access times of the knowledge points can be counted and displayed in real time, monitoring personnel can take corresponding processing measures in time according to the counting result displayed in real time, and compared with the prior art that customer service logs are exported and counted according to the customer service logs, timeliness is improved. And compared with manual statistics in the prior art, the automatic statistics saves manpower and improves the statistics efficiency.
In one embodiment, as shown in fig. 3, an optional process involving counting the number of visits to each knowledge point to obtain a statistical result is involved. Based on the foregoing embodiment, step 202 may specifically include:
In the embodiment of the application, the current day of display is taken as the Nth day, and the Nth-1 st day is taken as the previous day of display. The method comprises the steps of firstly obtaining a first access frequency of each knowledge point in a preset time period of a display day and a second access frequency of each knowledge point in the same time period of the previous day.
Wherein the preset period may be a fixed period of time per day. For example, the preset time period is 8:00-18:00 of each day, the display day is 1 month and 10 days, the display day is 1 month and 9 days, the first visit times of each knowledge point between 8:00-18:00 of 1 month and 10 days and the second visit times of each knowledge point between 8:00-18:00 of 1 month and 9 days are acquired.
The preset period may also be a fixed period before the current time. For example, the preset time period is 2 hours before the current time; if the current time is 1 month, 10 days and 12:00, acquiring the first access times of each knowledge point between 10:00 and 12:00 in 1 month and 10 days and the second access times of each knowledge point between 10:00 and 12:00 in 1 month and 9 days; and if the current time is 1 month, 10 days and 14:00, acquiring a first access frequency of each knowledge point between 12:00 and 14:00 in 10 days and 1 month and a second access frequency of each knowledge point between 12:00 and 14:00 in 9 days and 1 month.
The preset time period is not limited in detail in the embodiment of the application, and can be set according to actual conditions.
And step 302, calculating the access frequency fluctuation of each knowledge point according to the first access frequency and the second access frequency.
In the embodiment of the application, after the access times of each knowledge point in the same time period on the display day and the display day before are obtained, the access time expansion is calculated according to the access times of the two days before and after. Specifically, for each knowledge point, calculating a first difference between the first access times and the second access times; and calculating the ratio of the first difference to the second access times to obtain the access time fluctuation of the knowledge point.
For example, if the first access number of the day is represented as m and the second access number of the previous day is represented as n for knowledge point 1, the access number increase X1 of knowledge point 1 is (m-n)/n. By analogy, the access time fluctuation is calculated for each knowledge point.
It can be understood that, for each knowledge point, if the first access number is greater than the second access number, the access number rise is positive, which indicates that the knowledge point has a rising access number in the same period of two consecutive days. If the first access times is smaller than the second access times, the access times increase in amplitude is a negative value, and the knowledge point is indicated that the access times decrease in the same period of two consecutive days. If the first access times is equal to the second access times, the access times rise to zero, which indicates that the access times of the knowledge point do not rise or fall in the same time period of two consecutive days.
And 303, sequencing the knowledge points according to the sequence of the access times from high to low in amplitude to obtain a first sequencing result.
In the embodiment of the application, after the access time increase amplitude of each knowledge point is calculated, the knowledge points are sorted according to the sequence from high to low of the access time increase amplitude, and the access times of partial knowledge points are increased and the access times of partial knowledge points are decreased as can be seen from the obtained first sorting result.
Correspondingly, the step 203 may specifically include: and displaying a first preset number of knowledge points in real time according to the first sequencing result.
Specifically, the knowledge points with a large increase in the number of visits are the knowledge points to which the monitoring staff pay attention. After the knowledge points are sorted, a first preset number of knowledge points are selected according to the ascending order of the access times from high to low, and only the selected knowledge points are displayed.
For example, if the first preset number is 10, then 10 knowledge points are selected from the high to low access times according to the access times fluctuation sequence for displaying; and if the first preset number is 20, selecting 20 knowledge points for display according to the ascending amplitude of the access times from high to low. The first preset number is not limited in detail in the embodiment of the application, and can be set according to actual conditions.
In the display process, the access frequency fluctuation of each knowledge point can be displayed, and other related information of each knowledge point, such as the identification of the knowledge point, a service scene and the like, can also be displayed. The display content is not limited in detail in the embodiment of the application, and can be set according to actual conditions.
In the process of counting the access times of the knowledge points to obtain a statistical result, acquiring a first access time of the knowledge points in a preset time period on the Nth day and a second access time of the knowledge points in the same time period on the N-1 th day; calculating the access time expansion of each knowledge point according to the first access time and the second access time; and sequencing the knowledge points according to the sequence of the access times from high to low to obtain a first sequencing result. By the embodiment of the application, the access time expansion of each knowledge point can be counted, and accordingly, monitoring personnel can know the access time expansion of each knowledge point according to the real-time displayed statistical result, so that corresponding measures are taken, and timeliness is improved compared with the prior art. Moreover, the statistics is automatically completed, so that the manpower is saved, and the statistical efficiency is improved.
In one embodiment, as shown in fig. 4, an optional process involving counting the number of visits to each knowledge point to obtain a statistical result is involved. Based on the foregoing embodiment, step 202 may specifically include:
In the embodiment of the application, the nth day is taken as the display day, and the nth-1 st day is the previous day of display. Specifically, the number of access times of each knowledge point on the whole day before display, namely the third access time, is obtained, and the target knowledge point is selected according to the obtained third access time and the preset time. Specifically, for each knowledge point, acquiring a third access frequency of the knowledge point, judging whether the third access frequency is greater than a preset frequency, and if so, determining the knowledge point as a target knowledge point; and if the number of times is less than or equal to the preset number of times, determining that the knowledge point is not the target knowledge point.
For example, if the nth day is 1 month and 10 days, the nth-1 th day is 1 month and 9 days, the third visit times of the knowledge point 1 in 1 month and 9 days are acquired, and whether the knowledge point 1 is the target knowledge point is judged according to the preset times. And in the same way, judging whether other knowledge points are the target knowledge points or not. The preset times are not limited in detail in the embodiment of the application, and can be set according to actual conditions.
It can be understood that the target knowledge points are selected according to the preset times, so that the attention range can be reduced, and the computing resources can be saved.
And step 402, acquiring fourth access times of each target knowledge point on the N-2 th day.
In the embodiment of the application, the Nth day is the day of display, and the N-2 th day is the first two days of display. And after the target knowledge point is selected, acquiring the access times of the target knowledge point in the first two days of display, namely the fourth access time.
For example, if the Nth day is 1 month and 10 days, the Nth-2 days are 1 month and 8 days. And acquiring the fourth visit times of the target knowledge point on 1 month and 8 days.
And step 403, calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency.
In the embodiment of the application, the visit number amplitude is calculated for each target knowledge point, specifically, a second difference between a third visit number and a fourth visit number is calculated for each target knowledge point; and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
For example, if the knowledge point 1 is the target knowledge point, and the third visit count on day 1, month 9 of the acquired knowledge point 1 is o and the fourth visit count on day 1, month 8 is p, the visit count amplitude of the knowledge point 1 is Y ═ p/p.
It is understood that, for each target knowledge point, if the third visit number is greater than the fourth visit number, the visit number amplitude is positive, indicating that the visit number of the target knowledge point increases for the whole day of two consecutive days. And if the third visit number is less than the fourth visit number, the visit number amplitude is a negative value, and the target knowledge point is decreased in visit number of the whole day in two consecutive days. If the third visit number is equal to the fourth visit number, the visit number amplitude is zero, which indicates that the visit number of the target knowledge point in the whole day of two consecutive days does not rise or fall.
And step 404, sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
In the embodiment of the application, after the visit number amplitude of each target knowledge point is calculated, the target knowledge points are sorted according to the descending order of the visit number amplitude, and the obtained second sorting result shows that the fluctuation of the visit number of part of the target knowledge points is larger and the fluctuation of the visit number of part of the target knowledge points is smaller.
Correspondingly, the step 203 may specifically include: and displaying a second preset number of target knowledge points in real time according to the second sequencing result.
Specifically, the target knowledge point with large access frequency fluctuation is the target knowledge point concerned by the monitoring personnel. After the target knowledge points are sorted, selecting a second preset number of target knowledge points according to the sequence of the access times from large amplitude to small amplitude, and only displaying the selected target knowledge points.
For example, if the second preset number is 10, selecting 10 target knowledge points for display according to the sequence of the access times from large amplitude to small amplitude; and if the second preset number is 20, selecting 20 target knowledge points for display according to the sequence of the access times from large amplitude to small amplitude. The second preset number is not limited in detail in the embodiment of the application, and can be displayed according to actual conditions.
When the target knowledge points are displayed, the access frequency amplitude of each target knowledge point can be displayed, and other related information of each target knowledge point can be displayed. The display content is not limited in detail in the embodiment of the application, and can be set according to actual conditions.
In the process of counting the access times of the knowledge points to obtain a statistical result, acquiring a third access time of each knowledge point in the (N-1) th day, and taking the knowledge point with the third access time greater than the preset time as a target knowledge point; acquiring fourth access times of each target knowledge point on the N-2 th day; calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency; and sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result. By the aid of the method and the device, the visit frequency amplitude of each target knowledge point can be counted, accordingly, monitoring personnel can know the visit frequency amplitude of each target knowledge point according to the real-time displayed statistical result, corresponding measures are taken, and timeliness is improved compared with the prior art. Moreover, the statistics is automatically completed, so that the manpower is saved, and the statistical efficiency is improved.
In one embodiment, as shown in FIG. 5, an alternative process of the knowledge point monitoring method is involved. Based on the above embodiment, the method may include the following steps:
and step 503, calculating the access frequency fluctuation of each knowledge point according to the first access frequency and the second access frequency.
In one embodiment, for each knowledge point, calculating a first difference between the first access times and the second access times; and calculating the ratio of the first difference to the second access times to obtain the access time fluctuation of the knowledge point.
And step 504, sequencing the knowledge points according to the sequence of the access times from high to low in amplitude to obtain a first sequencing result.
And 505, displaying a first preset number of knowledge points in real time according to the first sequencing result.
And step 507, acquiring fourth access times of each target knowledge point in the Nth-2 th day.
And step 508, calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency.
In one embodiment, for each target knowledge point, calculating a second difference between the third access times and the fourth access times; and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
And 509, sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
And step 510, displaying a second preset number of target knowledge points in real time according to the second sorting result.
The embodiment of the application is not limited to the above two statistics, and other access conditions can be also counted. According to the embodiment of the application, the visit times of all knowledge points in the preset knowledge base are monitored, the visit time expansion amplitude and the visit time amplitude are counted according to the monitored visit times, and finally, the statistics result is displayed, so that the timeliness can be improved, the labor is saved, and the statistics efficiency is improved.
It should be understood that although the various steps in the flowcharts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps or stages.
In one embodiment, as shown in fig. 6, there is provided a knowledge point monitoring apparatus including:
the access frequency monitoring module 601 is configured to monitor access frequencies of knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
a statistics module 602, configured to perform statistics on access times of each knowledge point to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and a display module 603, configured to display the statistical result in real time.
In one embodiment, the statistical module 602 is specifically configured to obtain a first access frequency of each knowledge point in a preset time period on the nth day, and a second access frequency of each knowledge point in the same time period on the N-1 th day; the Nth day is the display day; calculating the access time expansion of each knowledge point according to the first access time and the second access time; and sequencing the knowledge points according to the sequence of the access times from high to low to obtain a first sequencing result.
In one embodiment, the statistical module 602 is specifically configured to calculate, for each knowledge point, a first difference between the first access time and the second access time; and calculating the ratio of the first difference to the second access times to obtain the access time fluctuation of the knowledge point.
In one embodiment, the displaying module 603 is specifically configured to display a first preset number of knowledge points in real time according to the first sorting result.
In one embodiment, the statistical module 602 is specifically configured to obtain a third access frequency of each knowledge point on the nth-1 day, and use the knowledge point with the third access frequency greater than a preset frequency as a target knowledge point; wherein, the Nth day is the display day; acquiring fourth access times of each target knowledge point on the N-2 th day; calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency; and sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
In one embodiment, the statistical module 602 is specifically configured to calculate, for each target knowledge point, a second difference between the third access time and the fourth access time; and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
In one embodiment, the displaying module 603 is specifically configured to display a second preset number of target knowledge points in real time according to the second sorting result.
For specific definition of the knowledge point monitoring device, see the above definition of the knowledge point monitoring method, which is not described herein again. The modules in the knowledge point monitoring device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a knowledge point monitoring method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
monitoring the access times of all knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
counting the access times of each knowledge point to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and displaying the statistical result in real time.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a first access frequency of each knowledge point in a preset time period on the Nth day and a second access frequency of each knowledge point in the same time period on the N-1 th day; the Nth day is the display day;
calculating the access time expansion of each knowledge point according to the first access time and the second access time;
and sequencing the knowledge points according to the sequence of the access times from high to low to obtain a first sequencing result.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
calculating a first difference value between the first access times and the second access times aiming at each knowledge point;
and calculating the ratio of the first difference to the second access times to obtain the access time fluctuation of the knowledge point.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and displaying a first preset number of knowledge points in real time according to the first sequencing result.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring third access times of all knowledge points in the N-1 th day, and taking the knowledge points with the third access times larger than the preset times as target knowledge points; wherein, the Nth day is the display day;
acquiring fourth access times of each target knowledge point on the N-2 th day;
calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency;
and sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
calculating a second difference value between the third visit times and the fourth visit times aiming at each target knowledge point;
and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and displaying a second preset number of target knowledge points in real time according to the second sequencing result.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
monitoring the access times of all knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
counting the access times of each knowledge point to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and displaying the statistical result in real time.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a first access frequency of each knowledge point in a preset time period on the Nth day and a second access frequency of each knowledge point in the same time period on the N-1 th day; the Nth day is the display day;
calculating the access time expansion of each knowledge point according to the first access time and the second access time;
and sequencing the knowledge points according to the sequence of the access times from high to low to obtain a first sequencing result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
calculating a first difference value between the first access times and the second access times aiming at each knowledge point;
and calculating the ratio of the first difference to the second access times to obtain the access time fluctuation of the knowledge point.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and displaying a first preset number of knowledge points in real time according to the first sequencing result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring third access times of all knowledge points in the N-1 th day, and taking the knowledge points with the third access times larger than the preset times as target knowledge points; wherein, the Nth day is the display day;
acquiring fourth access times of each target knowledge point on the N-2 th day;
calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency;
and sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
calculating a second difference value between the third visit times and the fourth visit times aiming at each target knowledge point;
and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and displaying a second preset number of target knowledge points in real time according to the second sequencing result.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A knowledge point monitoring method, the method comprising:
monitoring the access times of all knowledge points in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
counting the access times of the knowledge points to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and displaying the statistical result in real time.
2. The method according to claim 1, wherein the counting the number of visits of each knowledge point to obtain a statistical result comprises:
acquiring a first access frequency of each knowledge point in a preset time period on the Nth day and a second access frequency of each knowledge point in the same time period on the N-1 th day; the Nth day is the display day;
calculating the access time expansion of each knowledge point according to the first access times and the second access times;
and sequencing the knowledge points according to the sequence of the access times from high to low to obtain a first sequencing result.
3. The method of claim 2, wherein calculating the access time fluctuation of each knowledge point according to the first access time and the second access time comprises:
calculating a first difference value between the first access times and the second access times for each knowledge point;
and calculating the ratio of the first difference to the second access times to obtain the access time expansion of the knowledge point.
4. The method of claim 2, wherein said presenting said statistics in real-time comprises:
and displaying a first preset number of knowledge points in real time according to the first sequencing result.
5. The method according to claim 1, wherein the counting the number of visits of each knowledge point to obtain a statistical result comprises:
acquiring a third access frequency of each knowledge point on the N-1 th day, and taking the knowledge points with the third access frequency larger than a preset frequency as target knowledge points; wherein, the Nth day is the display day;
acquiring fourth access times of each target knowledge point on the N-2 th day;
calculating the visit frequency amplitude of each target knowledge point according to the third visit frequency and the fourth visit frequency;
and sequencing the target knowledge points according to the sequence of the access times from large amplitude to small amplitude to obtain a second sequencing result.
6. The method of claim 5, wherein calculating the visit number amplitude for each of the target knowledge points according to the third visit number and the fourth visit number comprises:
calculating a second difference between the third access times and the fourth access times for each of the target knowledge points;
and calculating the ratio of the second difference to the fourth visit number to obtain the visit number amplitude of the target knowledge point.
7. The method of claim 5, wherein said presenting said statistics in real-time comprises:
and displaying a second preset number of the target knowledge points in real time according to the second sequencing result.
8. A knowledge point monitoring apparatus, characterized in that the apparatus comprises:
the access frequency monitoring module is used for monitoring the access frequency of each knowledge point in a preset knowledge base; the knowledge points comprise user questions and answers corresponding to the user questions;
the statistical module is used for carrying out statistics on the access times of the knowledge points to obtain a statistical result; the statistical result is used for indicating the change condition of the access times of the knowledge points;
and the display module is used for displaying the statistical result in real time.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Application publication date: 20200828 |