CN111064773B - Session priority determination method and device - Google Patents

Session priority determination method and device Download PDF

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CN111064773B
CN111064773B CN201911192329.1A CN201911192329A CN111064773B CN 111064773 B CN111064773 B CN 111064773B CN 201911192329 A CN201911192329 A CN 201911192329A CN 111064773 B CN111064773 B CN 111064773B
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user
session
preset
value
average
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CN111064773A (en
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林英旭
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Beijing Pocket Fashion Technology Co ltd
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Beijing Pocket Fashion Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/14Session management
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/04Real-time or near real-time messaging, e.g. instant messaging [IM]
    • H04L51/046Interoperability with other network applications or services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/14Session management
    • H04L67/146Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding

Abstract

The invention relates to a method and a device for judging conversation priority. The method comprises the following steps: receiving dynamic session parameters of a first user in a session process of the first user and a second user; analyzing and obtaining the label value of each dynamic session parameter; calculating a session urgency degree value of a first user according to a preset algorithm and a label value of each dynamic session parameter; and determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority. The method can continuously determine and update the priority level of the user according to the dynamic session parameters of the user in the session process, can avoid the problems of improper allocation of the session priority level of the user, constant session priority level of the user and the like, and overcomes the defects of poor instantaneity and damage to user experience of the traditional priority allocation strategy.

Description

Session priority determination method and device
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a session priority.
Background
Instant messaging is a communication service, can realize one-to-one chat service among users in a mobile internet environment, and can support the transmission of media messages in various media forms such as plain text, rich text, sound, images and the like among mobile equipment users. Under the internet e-commerce environment, the instant messaging technology provides a low-cost real-time communication channel between a merchant and a customer, saves the expense of the traditional telephone and short message communication mode, and facilitates the communication between e-commerce platform users in the scene of before-sale and after-sale through the rich media mode.
However, as the number of users increases, some merchant users have many conversations with the purchaser user and it is difficult to prioritize the conversations, resulting in a case where an urgent conversation with a higher priority cannot be discovered at the first time or is annihilated by a conversation with a lower priority. To solve such problems, it is currently common to: 1, carrying out priority layering on member levels of buyer users, wherein users with high member levels obtain high-level label labels and set the labels in a seller session page for display; and 2, carrying out priority layering according to the waiting time of the user, wherein the user with the longest waiting time obtains a high-level label and carries out top display on a conversation page of the seller. However, in the above method 1, the member level is generally a static attribute, and the change is not frequent, and setting the session priority according to the member level can make the user with the high member level constantly have priority, so that the session of the user with the low member level cannot be responded to by the opposite party in time while the communication requirement is urgent, thereby reducing the quality of service of the merchant to the potential good-quality customer. For the above method 2, setting the priority according to the waiting time belongs to a post-event remedy under the condition that the user experience is hurt, and the user waiting time is too long, which may cause the user loss probability to increase.
Disclosure of Invention
The embodiment of the invention provides a method and a device for judging session priority and a method for acquiring dynamic session parameters. The technical scheme is as follows:
according to a first aspect of the embodiments of the present invention, there is provided a session priority determining method, including: receiving dynamic session parameters of a first user in a session process of the first user and a second user; analyzing and obtaining the label value of each dynamic session parameter; calculating a session urgency degree value of the first user according to a preset algorithm and a label value of each dynamic session parameter; and determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority.
Preferably, the calculating a session urgency level value of the first user according to a preset algorithm and a tag value of each dynamic session parameter includes: calculating the product of the label value of each dynamic session parameter and the corresponding preset coefficient; calculating the sum of all products; and performing a down rounding operation on the obtained sum value to obtain an integer value, wherein the integer value is the session urgency degree value of the first user.
Preferably, the dynamic session parameters include: at least one of an average character input speed of the first user in a conversation page of the first user and the second user within a preset time period and an average number of times that the first user sends a message to the second user within a preset time period; the calculating of the tag value of each dynamic session parameter includes: calculating an average value of the historical values of the dynamic session parameters; calculating a difference between the current value of the dynamic session parameter and the average value; calculating a ratio of the difference to the average; determining preset ratio ranges in which the ratios are located, wherein each preset ratio range corresponds to a preset label value; and determining the label value of the dynamic session parameter according to the corresponding relation between the preset ratio range and the preset label value.
Preferably, the dynamic session parameters further include: the shaking track and the average shaking times of the device logged in by the first user within a preset time period; the calculating the tag value of each dynamic session parameter further comprises: judging whether the shaking tracks of the device logged in by the first user are consistent with the preset track each time; when the shaking tracks are consistent with preset tracks each time, judging whether the average shaking times are larger than or equal to preset values or not; and when the shaking track of each time is consistent with a preset track and the average shaking times is larger than or equal to a preset value, setting the label values of the shaking track and the average shaking times of the device which the first user logs in within the preset time period as preset values.
According to a second aspect of the embodiments of the present invention, there is provided a session priority determination apparatus including: the receiving module is used for receiving the dynamic session parameters of the first user in the session process of the first user and the second user; the analysis module is used for analyzing and obtaining the label value of each dynamic session parameter; the calculation module is used for calculating the session urgency degree value of the first user according to a preset algorithm and the label value of each dynamic session parameter; and the determining module is used for determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority.
Preferably, the calculation module comprises: the product calculation submodule is used for calculating the product of the label value of each dynamic session parameter and the corresponding preset coefficient; a summation calculation submodule for calculating a summation value of all products; and the rounding calculation submodule is used for carrying out rounding operation on the obtained sum value downwards to obtain an integer value, and the integer value is the session urgency degree value of the first user.
Preferably, the dynamic session parameters include: at least one of an average character input speed of the first user in a conversation page of the first user and the second user within a preset time period and an average number of times that the first user sends a message to the second user within a preset time period; the analysis module includes: the average value calculation submodule is used for calculating the average value of the historical values of the dynamic session parameters; the difference value calculation submodule is used for solving the difference value between the current value of the dynamic session parameter and the average value; the ratio calculation submodule is used for calculating the ratio of the difference value to the average value; the range determination submodule is used for determining preset ratio ranges in which the ratios are located, wherein each preset ratio range corresponds to a preset label value; and the first setting submodule is used for determining the label value of the dynamic session parameter according to the corresponding relation between the preset ratio range and the preset label value.
Preferably, the dynamic session parameters further include: the shaking track and the average shaking times of the device logged in by the first user within a preset time period; the analysis module further comprises: the first judgment submodule is used for judging whether the shaking track of the device logged in by the first user is consistent with a preset track each time; the second judgment submodule is used for judging whether the average shaking times is larger than or equal to a preset value or not when the shaking tracks of each time are consistent with a preset track; and the second setting submodule is used for setting the label values of the shaking track and the average shaking times of the device logged in by the first user in the preset time period as preset values when the shaking track of each time is consistent with the preset track and the average shaking times are greater than or equal to the preset value.
According to a third aspect of embodiments of the present invention, there is provided a session priority determination apparatus including: a processor; a memory for storing the processor-executable instructions; the processor is configured to perform the session priority determination method of any of the above.
According to a fourth aspect of the embodiments of the present invention, there is provided a session priority determination apparatus including: there are stored computer instructions which, when executed by a processor, implement the steps of any of the methods described above.
According to a fifth aspect of the embodiments of the present invention, there is provided a method for acquiring dynamic session parameters, including: acquiring a session state value of the first user in the session process of the first user and the second user; calculating dynamic session parameters of the first user according to the session state value of the first user; and sending the dynamic session parameters of the first user to the device logged with the second user, so that the device logged with the second user determines the session priority of the first user according to the dynamic session parameters of the first user.
Preferably, the dynamic session parameters include at least one of the following four: the method comprises the steps of presetting average occurrence times of characters in a message sent by a first user to a second user within a preset time period, presetting average character input speed of the first user within a conversation page of the first user and the second user within the preset time period, presetting average times of sending messages to the second user by the first user within the preset time period, and presetting a shaking track and average shaking times of a device logged in by the first user within the preset time period.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects: receiving dynamic session parameters of a first user during a session between the first user and a second user; for the dynamic session parameters of the first user, calculating a tag value of each dynamic session parameter; calculating a session urgency degree value of the first user according to a preset algorithm and a label value of each dynamic session parameter; determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority; the method can continuously determine and update the priority level of the user according to the dynamic session parameters of the user in the session process, can avoid the problems of constant session priority level of the user, improper session priority level distribution of the user and the like, and overcomes the defects of poor instantaneity and damage to user experience of the traditional priority level distribution strategy.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a flow diagram illustrating a session priority determination method according to an example embodiment.
Fig. 2 is a flow diagram illustrating a session priority determination method according to an example embodiment.
Fig. 3 is a flow diagram illustrating a session priority determination method according to an example embodiment.
Fig. 4 is a flow diagram illustrating a session prioritization method in accordance with an example embodiment.
Fig. 5 is a flow diagram illustrating a session priority determination method according to an example embodiment.
Fig. 6 is a flowchart illustrating a dynamic session parameter acquisition method in accordance with an example embodiment.
Fig. 7 is a block diagram illustrating a session priority determining apparatus according to an example embodiment.
Fig. 8 is a block diagram illustrating a session priority determination apparatus according to an example embodiment.
Fig. 9 is a block diagram illustrating a session priority determination apparatus according to an example embodiment.
Fig. 10 is a block diagram illustrating a session priority determination apparatus according to an example embodiment.
Fig. 11 is a block diagram illustrating a session priority determining apparatus according to an example embodiment.
Fig. 12 is a block diagram illustrating a session priority determination apparatus according to an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the attached description.
Fig. 1 is a flowchart illustrating a session priority determination method according to an exemplary embodiment, which, as shown in fig. 1, includes the following steps 100-103:
in step 100, dynamic session parameters of a first user are received during a session of the first user with a second user.
Here, in the process that the first user makes an instant conversation with the second user through the first device, the first device may obtain a session state value of the first user through a detection tool such as a functional plug-in, calculate a dynamic session parameter of the first user according to the session state value, and send the obtained dynamic session parameter of the first user to the server, so as to perform determination of session priority through the server, and then send a determination result to the second device that the second user logs in, or send the dynamic session parameter of the first user to the second device that the second user logs in through the server to perform determination of session priority. For example, the first device may continuously detect or detect the session state value of the first user at a preset frequency, perform calculation of the dynamic session parameter, and send the obtained dynamic session parameter of the first user to a server or other devices in time.
For example, the dynamic session parameter may be a parameter reflecting the communication urgency of the first user, or reflecting the importance of the message sent by the first user, for example, when the first user is urgent to receive the reply message of the second user to obtain some information from the reply message of the second user, it indicates that the current communication urgency of the first user is higher. For example, the session state value may be the number of occurrences of a preset character in a message sent by the first user to the second user within a preset time period, and correspondingly, the dynamic session parameter may be the average number of occurrences of the preset character in the message sent by the first user to the second user within the preset time period. For example, the default characters may be "urgent", "fast", and "! "and the like. For example, the first device obtains the number of occurrences N of the preset character in the message sent by the first user to the second user every 10 seconds for 2 minutes, and the dynamic session parameter may be N/2 per minute or N/120 per second.
In step 101, the analysis obtains a tag value for each dynamic session parameter.
For example, a plurality of dynamic session parameter ranges in which the value ranges increase in a gradient manner may be set for each dynamic session parameter, and a preset tag value group in which a tag value increases in a gradient manner is preset, and the dynamic session parameter ranges and the tag values are in one-to-one correspondence. When the currently received dynamic session parameter is analyzed to be within a certain parameter range, the tag value corresponding to the parameter range can be used as the tag value of the dynamic session parameter. For example, the preset set of tag values may include four different values: 0. 1, 2 and 3.
In step 102, a session urgency level value of the first user is calculated according to a preset algorithm and a tag value of each session parameter.
Here, the session urgency level value of the first user refers to a current integrated communication urgency level of the first user during a real-time session between the first user and the second user.
In step 103, the session priority of the first user is determined according to the preset correspondence between the session urgency level and the session priority.
Here, a plurality of sets of session urgency values whose session urgency values increase in a gradient may be preset, while a plurality of session priorities of increasing levels, for example, low, normal, high, highest, and the like, are preset, and the session urgency values are one-to-one corresponding to the session priorities. After a session urgency degree value is obtained by calculation according to the received current dynamic session parameter of the first user, the corresponding session priority can be obtained according to the corresponding relation between the preset session urgency degree value and the session priority. For example, the set of pre-set session urgency values includes: 0. 1, 2, 3, correspondingly, the session priority comprises in sequence: low, normal, higher, highest; when the current session urgency value of the first user is calculated to be 3, the current session priority of the first user can be determined to be "highest".
In the embodiment, the dynamic session parameters of the first user are received in the session process of the first user and the second user; for the dynamic session parameters of the first user, calculating the label value of each dynamic session parameter; calculating a session urgency degree value of the first user according to a preset algorithm and a label value of each dynamic session parameter; determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority; the method can continuously determine and update the priority level of the user according to the dynamic session parameters of the user in the session process, can avoid the problems of constant session priority level of the user, improper session priority level distribution of the user and the like, and overcomes the defects of poor instantaneity and damage to user experience of the traditional priority level distribution strategy.
Fig. 2 is a flowchart illustrating a session priority determination method according to an exemplary embodiment, and as shown in fig. 2, the session priority determination method includes steps 200-204, wherein steps 200-201 are the same as steps 100-101, and step 204 is the same as step 103, and step 102 may be performed as step 203:
in step 202, for each dynamic session parameter, it is determined whether the tag value of the dynamic session parameter obtained by analysis is the same as the tag value obtained by the last analysis.
Here, for each dynamic session parameter, the server or the second device may store the tag value obtained from each analysis, and when the dynamic session parameter is received next time and a new tag value is obtained from the received dynamic session parameter analysis, compare whether the new tag value is the same as the stored previous tag value, to measure whether the session priority of the first user needs to be adjusted currently.
In step 203, when the tag value of one dynamic session parameter among all the tag values of the dynamic session parameters obtained by the analysis is different from the tag value obtained by the corresponding last analysis, the session urgency level value of the first user is calculated according to a preset algorithm and the tag value of each dynamic session parameter.
Here, when the communication urgency level of the user changes, the value of the dynamic session parameter changes accordingly, and when the communication urgency level changes greatly, the value of the dynamic session parameter changes greatly, and the corresponding tag values obtained by analysis also differ. Therefore, whether the communication urgency degree of the user is significantly changed compared with the previous communication urgency degree can be obtained by comparing whether the tag value newly obtained by each dynamic session parameter is the same as the corresponding tag value obtained last time, and when the tag value of at least one dynamic session parameter is changed, it is indicated that the communication urgency degree of the user is significantly changed compared with the previous communication urgency degree. At this point, the current session urgency value of the user can be calculated, and an appropriate session priority can be determined for the user. For example, for a dynamic session parameter, which is a preset word or a preset symbol, included in a message sent by a first user to a second user within a preset time period, when a tag value obtained by the current analysis is 3 and a tag value obtained by the last analysis is 1, it can be known through comparison of the tag values that the communication urgency of the users changes significantly, and a session urgency value needs to be calculated, so as to determine a proper session priority for the users.
In this embodiment, by determining whether the tag value of each dynamic session parameter obtained by analysis is the same as the tag value obtained by the previous analysis, and when the tag value of one dynamic session parameter is different from the tag value obtained by the corresponding previous analysis among all the tag values of the dynamic session parameters obtained by analysis, the session urgency level value of the first user is calculated according to a preset algorithm and the tag value of each dynamic session parameter, unnecessary calculation of the session urgency level can be avoided when the communication urgency level of the user does not change greatly, and thus the waste of calculation resources of the server or the second device is reduced.
In one embodiment, after the step 103 or 204, the method further includes the steps A1-A2:
in the step A1, according to the determined conversation priority of the first user, selecting a display column for displaying a conversation column of the first user in a conversation list of the second user; the conversation list comprises display columns which are the same in number of conversation priority levels and are sequentially arranged from the top of the list to the bottom of the list, the arrangement sequence of the display columns corresponds to the high-low arrangement sequence of the conversation priority levels, the display column at the top of the list is used for displaying the conversation column of the user with the highest conversation priority level, and the display column at the bottom of the list is used for displaying the conversation column of the user with the lowest conversation priority level.
In step A2, the first user's session bar is displayed in the selected display bar.
Illustratively, the conversation fields of the users of the same conversation priority are displayed in the same display field of the conversation list, and are sequentially displayed from the top to the bottom of the display field in descending order of time of receiving new messages.
In this embodiment, the session with the highest session priority is displayed at the top of the session list, which can facilitate the opposite user to process the session with the highest session priority in time.
Fig. 3 is a flowchart illustrating a session priority determination method according to an exemplary embodiment, and as shown in fig. 3, the above step 103 or step 204 may be further executed as steps 301-303:
in step 301, the product of the tag value of each dynamic session parameter and the corresponding preset coefficient is calculated.
Here, each dynamic session parameter corresponds to a preset coefficient. For example, the preset coefficient of each dynamic session parameter is greater than 0 and less than 1, for example, 0.2; moreover, the preset coefficients corresponding to each dynamic session parameter are different.
In step 302, the sum of all products is calculated.
In step 303, a rounding-down operation is performed on the obtained sum value to obtain an integer value, where the integer value is the session urgency value of the first user.
For example, when the obtained total sum is 3.5, performing a rounding-down operation on 3.5 may obtain an integer 3, where the integer 3 is the calculated session urgency value of the first user.
In this embodiment, by presetting a corresponding coefficient for each dynamic session parameter, the preset coefficients of different dynamic session parameters are different from each other, and performing the above operation by using the coefficients, the comprehensive degree of the calculated session urgency level value can be made higher, and simultaneously, the non-important dynamic session parameters and the important dynamic session parameters have different influences on the session priority level of the user.
In one embodiment, the dynamic session parameters include: at least one of an average character input speed of the first user within a session page of the first user and the second user within a preset time period and an average number of times that the first user sends a message to the second user within a preset time period. For example, the average number of characters per second entered by the first user in the conversation page between the first user and the second user within a preset time period of every 5 seconds or 10 seconds, e.g., 3/second, the average number of messages sent by the first user to the second user per minute within 2 minutes, e.g., 4/minute, and so on. Fig. 4 is a flowchart illustrating a session priority determination method according to an exemplary embodiment, where, as shown in fig. 4, step 101 or step 201 in the session priority determination method further includes steps 401 to 405:
in step 401, an average of the historical values of the dynamic session parameters is calculated.
In step 402, the difference between the current value of the dynamic session parameter and the average value is found.
In step 403, the ratio of the difference to the average is calculated.
In step 404, a preset ratio range where the ratio is located is determined, where each preset ratio range corresponds to a preset tag value.
In step 405, the tag value of the dynamic session parameter is determined according to the preset corresponding relationship between the preset ratio range and the preset tag value.
Here, a ratio range in which a plurality of numerical ranges increase in a gradient manner is preset, and meanwhile, a preset tag value group in which a tag value increases in a gradient manner is preset, and the dynamic session parameter range and the preset tag value are in one-to-one correspondence. For example, the ratio ranges are: -N-0, 0-0.5, 0.5-1, 1-N, wherein N is a positive number, -N is a negative number, the set of preset tag values corresponding to: 0. 1, 2 and 3; the preset label value corresponding to the ratio range from-N to 0 is 0, the preset label value corresponding to the ratio range from 0 to 0.5 is 1, the preset label value corresponding to the ratio range from 0.5 to 1 is 2, and the preset label value corresponding to the ratio range from 1 to N is 3. For example, when the dynamic session parameter is the average character input speed per second of the first user in the session page between the first user and the second user within 5 seconds, and since the first user and the second user start the session, when the server or the second device receives the average character input speed V3 of the first user for the 3 rd time, the server or the second device may calculate the average character input speed V2 of the first user received for the 2 nd time and the average character input speed V1 of the first user received for the 1 st time, calculate the difference Vc between V3 and V0, then calculate the ratio between Vc and V0, then determine the ratio range in which the ratio between Vc and V0 is located, and finally determine the tag value of the dynamic session parameter according to the corresponding relationship between the determined ratio range and the preset tag value.
In this embodiment, when the dynamic session parameter includes an average character input speed of the first user in the session page of the first user and the second user within a preset time, a preset coefficient is set for each dynamic session parameter, and an urgency algorithm is used to calculate the urgency of the session, so that the influence of the use habit of the user on the session priority can be removed, and a user with high hand speed is prevented from frequently obtaining a high session priority.
In one embodiment, the dynamic session parameters further include: and the shaking track and the average shaking times of the device logged in by the first user in a preset time period. Fig. 5 is a flowchart illustrating a session priority determination method according to an exemplary embodiment, where, as shown in fig. 5, step 101 or step 201 in the above-mentioned determination party of session priority is further executed to include steps 501-503, and steps 501-503 may be executed simultaneously with or sequentially with steps 401-405:
in step 501, it is determined whether the shaking trajectory of the device logged in by the first user is consistent with a preset trajectory each time.
Here, the first device may continuously detect the average shaking number and shaking trajectory of the first device within a preset time period through a gyroscope and an acceleration sensor or at a preset frequency. For example, the preset trajectory may be one time for each left and right shake.
In step 502, when the shaking trajectory is consistent with the preset trajectory each time, it is determined whether the average shaking frequency is greater than or equal to a preset value. For example, the preset value may be 2 times/second.
In step 503, when the shaking track of each time is consistent with the preset track and the average shaking times is greater than or equal to the preset value, the label values of the shaking track and the average shaking times of the device logged in by the first user are set as preset values.
For example, when the preset tag values are 0, 1, 2, and 3, respectively, when the shaking trajectory of each time is consistent with the preset trajectory, and the average shaking number is greater than or equal to the preset value, the shaking trajectory of the device logged in by the first user and the tag value of the average shaking number are set to 1.
In this embodiment, when the shaking trajectory of the device that the first user logs in is consistent with the preset trajectory within the preset time period and the average shaking frequency is greater than or equal to the preset value, the label values of the shaking trajectory and the average shaking frequency of the device that the first user logs in are set to be preset values, so that the influence of the average shaking trajectory and the preset trajectory of the device that the first user logs in within the preset time period on the session priority of the first user is constant.
Illustratively, when the dynamic session parameters include: average character input speed of the first user in a conversation page of the first user and the second user within a preset time period, and average character input speed of the first user within a preset time periodWhen the average number of times that the user sends the message to the second user, the shaking track and the average shaking number of times of the device logged in by the first user in a preset time period, the label values of the three dynamic session parameters are G1, G2 and G3 in sequence, and the preset coefficients of the three dynamic session parameters are 0.5, 0.5 and 0.2 in sequence, the session urgency degree of the first user
Figure GDA0003796099720000121
For example, when the three dynamic session parameters correspond to the same preset set of tag values (e.g., 0, 1, 2, 3), the preset set of session urgency values is the same as the preset set of tag values (e.g., 0, 1, 2, 3).
According to another aspect of the present invention, there is provided a dynamic session parameter acquiring method, and fig. 6 is a flowchart illustrating a dynamic session parameter acquiring method according to an exemplary embodiment, as shown in fig. 6, the method includes steps 601-603:
in step 601, in the process of a session between a first user and a second user, a session state value of the first user is obtained.
Here, the device (the above-described first device) to which the first user logs in may acquire the session state value of the first user with a preset frequency or continuously through a plug-in, a gyroscope, an acceleration sensor, or the like installed. For example, the number of character inputs of the first user in a preset time period may be recorded at a preset frequency, for example, the number of character inputs of the first user in 5 seconds is obtained every 2 seconds; acquiring the occurrence frequency of preset characters in a message sent by a first user to a second user within each minute at a preset frequency, for example, acquiring the occurrence frequency of the preset characters in the message sent by the first user to the second user within each minute every 10 seconds; the number of times that the first user sends the message to the second user per minute may be obtained at a preset frequency, for example, the number of times that the first user sends the message to the second user per minute is obtained every 10 seconds; the shaking track data and the shaking times of the device logged in by the first user in the time period can be obtained at a preset frequency, for example, the shaking track and the shaking times of the device logged in by the first user every 5 seconds are obtained every 2 seconds.
In step 602, a dynamic session parameter of the first user is calculated according to the session state value of the first user.
Here, each dynamic session parameter is obtained by solving a ratio between a corresponding value obtained in each preset time period and the preset time period; illustratively, the dynamic session parameters include at least one of the following four: the method comprises the steps of presetting average occurrence times of characters in a message sent by a first user to a second user within a preset time period, presetting average character input speed of the first user within a conversation page of the first user and the second user within the preset time period, presetting average times of sending messages to the second user by the first user within the preset time period, and presetting a shaking track and average shaking times of a device logged in by the first user within the preset time period. For example, the average preset number of character inputs per second by the first user in the conversation page of the first user and the second user every 5 seconds, or the average preset number of character inputs per minute by the first user in the conversation page of the first user and the second user every 5 minutes, and so on; the average number of times the first user sends a message to the second user per minute per 2 minutes, or the average number of times the first user sends a message to the second user per hour per 3 hours, etc.; and a shaking trajectory per second and an average number of shaking times per second of the device that the first user logged in to, or a shaking trajectory per 10 minutes and an average number of shaking times per 30 minutes of the device that the first user logged in to, and so on.
In step 603, the dynamic session parameter of the first user is sent to the device logged with the second user, so that the device logged with the second user determines the session priority of the first user according to the dynamic session parameter of the first user.
Here, the first device may transmit the dynamic session parameters of the first user to the server, and then to the second device through the server.
Fig. 7 is a block diagram illustrating a session priority determination apparatus, which may be implemented as part or all of an electronic device through software, hardware, or a combination of both, according to an example embodiment. As shown in fig. 7, the session priority determining device includes: a receiving module 701, an analyzing module 702, a calculating module 703 and a determining module 704, wherein:
a receiving module 701, configured to receive a dynamic session parameter of a first user during a session between the first user and a second user; an analysis module 702, configured to analyze and obtain a tag value of each dynamic session parameter; a calculating module 703, configured to calculate a session urgency level value of the first user according to a preset algorithm and a tag value of each dynamic session parameter; a determining module 704, configured to determine a session priority of the first user according to a preset correspondence between the session urgency level and the session priority.
As one possible embodiment, fig. 8 is a block diagram illustrating a session priority determining apparatus according to an example embodiment. As shown in fig. 8, the session priority determination apparatus may be further configured to include a determining module 705, and the calculating module 703 is configured to include: a first computing submodule 7031, wherein: a determining module 705, configured to determine whether the tag value of the dynamic session parameter obtained through analysis is the same as the tag value obtained through the last analysis; the first calculating sub-module 7031 is configured to, when the tag value of one dynamic session parameter among all the tag values of the dynamic session parameters obtained through the analysis is different from the tag value obtained through the corresponding last analysis, calculate the session urgency level value of the first user according to a preset algorithm and the tag value of each dynamic session parameter.
As one possible embodiment, fig. 9 is a block diagram illustrating a session priority determining apparatus according to an exemplary embodiment. As shown in fig. 9, the calculation module 703 may be further configured to include: a product calculation submodule 7032, a sum calculation submodule 7033, and a round calculation submodule 7034, wherein:
a product calculating submodule 7032, configured to calculate a product between the tag value of each dynamic session parameter and a corresponding preset coefficient; a sum calculating submodule 7033 for calculating the sum of all the products; and the rounding calculation submodule 7034 is configured to perform rounding-down operation on the obtained sum value to obtain an integer value, where the integer value is the session urgency value of the first user.
As one possible embodiment, fig. 10 is a block diagram illustrating a session priority determining apparatus according to an exemplary embodiment. As shown in fig. 10, the analysis module 702 may be further configured to include: a mean value calculation submodule 7021, a difference value calculation submodule 7022, a ratio operator module 7023, a range determination submodule 7024 and a first setting submodule 7025, wherein:
the average value calculating submodule 7021 is configured to calculate an average value of the historical values of the dynamic session parameters; a difference value calculating submodule 7022, configured to obtain a difference value between the current value of the dynamic session parameter and the average value; a ratio operator module 7023, configured to calculate a ratio of the difference to the historical average; the range determining submodule 7024 is configured to determine preset ratio ranges in which the ratios are located, where each preset ratio range corresponds to one preset tag value; the first setting sub-module 7025 is configured to determine the tag value of the dynamic session parameter according to a preset correspondence between the preset ratio range and a preset tag value.
As one possible embodiment, fig. 11 is a block diagram illustrating a session priority determining apparatus according to an exemplary embodiment. As shown in fig. 11, the analysis module 702 may be further configured to include: a first judgment sub-module 7026, a second judgment sub-module 7027, and a second setting sub-module 7028, wherein:
a first determining sub-module 7026, configured to determine whether each shaking trajectory of the device logged in by the first user is consistent with a preset trajectory; a second judging submodule 7027, configured to judge whether the average shaking frequency is greater than or equal to a preset value when each shaking trajectory is consistent with a preset trajectory; and a second setting sub-module 7028, configured to set, when the shaking trajectory of each time is consistent with a preset trajectory and the average shaking frequency is greater than or equal to a preset value, the label values of the shaking trajectory and the average shaking frequency of the device that the first user logs in to within the preset time period as preset values.
As a possible embodiment, the block diagram of the session priority determination apparatus may be further configured to include: a selection module 706 and a presentation module 708, wherein:
a selecting module 706, configured to select a display bar for displaying the session bar of the first user in the session list according to the determined session priority of the first user; the conversation list comprises display columns which are the same in number with the conversation priority levels and are sequentially arranged from the top of the list to the bottom of the list, the arrangement sequence of the display columns corresponds to the high-low arrangement sequence of the conversation priority levels, the display column at the top of the list is used for displaying the conversation column of the user with the highest conversation priority level, and the display column at the bottom of the list is used for displaying the conversation column of the user with the lowest conversation priority level; a display module 708 configured to display the conversation bar of the first user in the selected display bar.
According to another aspect of the present invention, there is also provided a dynamic session parameter acquiring apparatus, including: the device comprises an acquisition module, a calculation module and a sending module; the obtaining module is used for obtaining a session state value of the first user in the session process of the first user and the second user; the calculation module is used for calculating the dynamic session parameters of the first user according to the session state value of the first user; the sending module is configured to send the dynamic session parameter of the first user to the device logged with the second user, so that the device logged with the second user determines the session priority of the first user according to the dynamic session parameter of the first user.
With regard to the apparatus in the above-described embodiment, the specific manner in which the plurality of modules perform operations has been described in detail in the embodiment related to the method, and will not be elaborated upon here.
The following are embodiments of apparatus provided by the present invention that may be used to perform the above-described method embodiments of the present invention.
Fig. 12 is a block diagram illustrating a session priority determination apparatus adapted for a terminal device according to an exemplary embodiment. For example, the apparatus 1200 may be a computer device.
The apparatus 1200 may include one or more of the following components: processing component 1202, memory 1204, power component 1206, multimedia component 1208, audio component 1210, input/output (I/O) interface 1212, sensor component 1214, and communications component 1216.
The processing component 1202 generally controls overall operation of the apparatus 1200, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 1202 may include one or more processors 1220 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 1202 can include one or more modules that facilitate interaction between the processing component 1202 and other components. For example, the processing component 1202 can include a multimedia module to facilitate interaction between the multimedia component 1208 and the processing component 1202.
The memory 1204 is configured to store various types of data to support operation at the apparatus 1200. Examples of such data include instructions for any application or method operating on the device 1200, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1204 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
A power supply component 1206 provides power to the various components of the device 1200. Power components 1206 may include a power management device, one or more power sources, and other components associated with generating, managing, and distributing power for device 1200.
The multimedia components 1208 include a screen that provides an output interface between the device 1200 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1208 includes a front-facing camera and/or a rear-facing camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 1200 is in an operation mode, such as a photographing mode or a video mode. Each of the front camera and the rear camera may be a fixed optical lens arrangement or have a focal length and optical zoom capability.
Audio component 1210 is configured to output and/or input audio signals. For example, audio component 1210 includes a Microphone (MIC) configured to receive external audio signals when apparatus 1200 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 1204 or transmitted via the communication component 1216. In some embodiments, audio assembly 1210 further includes a speaker for outputting audio signals.
The I/O interface 1212 provides an interface between the processing component 1202 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 1214 includes one or more sensors for providing various aspects of state assessment for the apparatus 1200. For example, the sensor assembly 1214 may detect an open/closed state of the apparatus 1200, the relative positioning of the components, such as a display and keypad of the apparatus 1200, the sensor assembly 1214 may also detect a change in the position of the apparatus 1200 or a component of the apparatus 1200, the presence or absence of user contact with the apparatus 1200, orientation or acceleration/deceleration of the apparatus 1200, and a change in the temperature of the apparatus 1200. The sensor assembly 1214 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 1214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1214 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communications component 1216 is configured to facilitate communications between the apparatus 1200 and other devices in a wired or wireless manner. The apparatus 1200 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1216 receives a broadcast signal or broadcast associated information from an external broadcast management device via a broadcast channel. In an exemplary embodiment, the communications component 1216 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 1200 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as memory 1204 comprising instructions, executable by processor 1220 of apparatus 1200 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present embodiment provides a computer readable storage medium, wherein the instructions of the storage medium, when executed by the processor of the apparatus 1200, implement the steps of: receiving dynamic session parameters of a first user in a session process of the first user and a second user; analyzing and obtaining the label value of each dynamic session parameter; calculating a session urgency degree value of the first user according to a preset algorithm and a label value of each dynamic session parameter; and determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority.
The instructions in the storage medium when executed by the processor may further implement the steps of: the calculating the session urgency level value of the first user according to a preset algorithm and the tag value of each dynamic session parameter includes: calculating the product of the label value of each dynamic session parameter and the corresponding preset coefficient; calculating the sum of all the products; and performing a down rounding operation on the obtained sum value to obtain an integer value, wherein the integer value is the session urgency degree value of the first user.
The dynamic session parameters include: at least one of an average character input speed of the first user within a conversation page of the first user and the second user for a preset time period and an average number of times the first user sends a message to the second user for a preset time period, the instructions in the storage medium when executed by the processor further implement the steps of: the calculating of the tag value of each dynamic session parameter includes: calculating an average value of the historical values of the dynamic session parameters; calculating a difference between the current value of the dynamic session parameter and the average value; calculating a ratio of the difference to the average; determining preset ratio ranges in which the ratios are located, wherein each preset ratio range corresponds to a preset label value; and determining the label value of the dynamic session parameter according to the preset corresponding relation between the preset ratio range and the preset label value.
The dynamic session parameters further include: the shaking track and the average shaking times of the device logged in by the first user within a preset time period, and when executed by the processor, the instructions in the storage medium can further implement the following steps: the calculating the tag value of each dynamic session parameter further comprises: judging whether the shaking tracks of the device logged in by the first user are consistent with the preset track each time; when the shaking tracks of each time are consistent with a preset track, judging whether the average shaking times are larger than or equal to a preset value or not; and when the shaking track of each time is consistent with a preset track and the average shaking times is larger than or equal to a preset value, setting the label values of the shaking track and the average shaking times of the device which the first user logs in within the preset time period as preset values.
The present embodiment further provides a device for determining session priority, including: a processor; a memory for storing processor-executable instructions; the processor is configured to: receiving dynamic session parameters of a first user in a session process of the first user and a second user; analyzing and obtaining the label value of each dynamic session parameter; calculating a session urgency degree value of the first user according to a preset algorithm and a label value of each dynamic session parameter; and determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority.
In one embodiment, the processor may be further configured to: the calculating the session urgency level value of the first user according to a preset algorithm and the tag value of each dynamic session parameter includes: calculating the product of the label value of each dynamic session parameter and the corresponding preset coefficient; calculating the sum of all products; and performing a down rounding operation on the obtained sum value to obtain an integer value, wherein the integer value is the session urgency degree value of the first user.
In one embodiment, the dynamic session parameters include: at least one of an average character entry rate of the first user within a conversation page of the first user and the second user over a preset time period and an average number of times the first user sends messages to the second user over a preset time period, the processor may be further configured to: calculating an average value of the historical values of the dynamic session parameters; calculating a difference between the current value of the dynamic session parameter and the average value; calculating a ratio of the difference to the average; determining preset ratio ranges in which the ratios are located, wherein each preset ratio range corresponds to a preset label value; and determining the label value of the dynamic session parameter according to the corresponding relation between the preset ratio range and the preset label value.
In one embodiment, the dynamic session parameters further include: the processor may be further configured to: judging whether the shaking tracks of the device logged in by the first user are consistent with the preset track each time; when the shaking tracks are consistent with preset tracks each time, judging whether the average shaking times are larger than or equal to preset values or not; and when the shaking track of each time is consistent with a preset track and the average shaking times is larger than or equal to a preset value, setting the label values of the shaking track and the average shaking times of the device which the first user logs in within the preset time period as preset values.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (12)

1. A method for determining session priority, applied to a second device logged in by a second user, includes:
receiving dynamic session parameters of a first user, which are acquired by a first device logged in by the first user, in a session process of the first user and a second user; the dynamic session parameters include: at least one of an average character input speed of the first user, a shaking track and an average shaking number of the first device within a preset time period within a conversation page of the first user and the second user within the preset time period;
analyzing and obtaining the label value of each dynamic session parameter;
calculating a session urgency degree value of the first user according to a preset algorithm and a label value of each dynamic session parameter;
and determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority.
2. The method according to claim 1, wherein the calculating the session urgency value of the first user according to a preset algorithm and a tag value of each dynamic session parameter comprises:
calculating the product of the label value of each dynamic session parameter and the corresponding preset coefficient;
calculating the sum of all products;
and performing a down rounding operation on the obtained sum value to obtain an integer value, wherein the integer value is the session urgency degree value of the first user.
3. The session priority determination method according to any of claims 1-2, wherein the dynamic session parameters include: when the average character input speed of the first user in the conversation page of the first user and the second user is within a preset time period; the analyzing obtains a tag value of each dynamic session parameter, including:
calculating an average value of the historical values of the dynamic session parameters;
calculating a difference between the current value of the dynamic session parameter and the average value;
calculating a ratio of the difference to the average;
determining preset ratio ranges in which the ratios are located, wherein each preset ratio range corresponds to a preset label value;
and determining the label value of the dynamic session parameter according to the corresponding relation between the preset ratio range and the preset label value.
4. The session priority determination method according to claim 3, wherein the dynamic session parameters include: the shaking track and the average shaking times of the device logged in by the first user within a preset time period; the analyzing obtains a tag value of each dynamic session parameter, further comprising:
judging whether the shaking tracks of the device logged in by the first user are consistent with the preset track each time;
when the shaking tracks of each time are consistent with a preset track, judging whether the average shaking times are larger than or equal to a preset value or not;
and when the shaking track of each time is consistent with a preset track and the average shaking times is larger than or equal to a preset value, setting the label values of the shaking track and the average shaking times of the device which the first user logs in within the preset time period as preset values.
5. A session priority determination apparatus, applied to a second apparatus for logging in a second user, comprising:
the receiving module is used for receiving the dynamic session parameters of the first user, which are acquired by a first device logged in by the first user, in the session process of the first user and a second user; the dynamic session parameters include: at least one of an average character input speed of the first user, a shaking track and an average shaking number of the first device within a preset time period within a conversation page of the first user and the second user within the preset time period;
the analysis module is used for analyzing and obtaining the label value of each dynamic session parameter;
the calculation module is used for calculating a session urgency degree value of the first user according to a preset algorithm and the label value of each dynamic session parameter;
and the determining module is used for determining the session priority of the first user according to the corresponding relation between the preset session urgency degree value and the session priority.
6. The session priority determination apparatus according to claim 5, wherein the calculation module includes:
the product calculation submodule is used for calculating the product of the label value of each dynamic session parameter and the corresponding preset coefficient;
the summation calculation submodule is used for calculating the summation value of all the products;
and the rounding calculation submodule is used for carrying out rounding operation on the obtained sum value downwards to obtain an integer value, and the integer value is the session urgency degree value of the first user.
7. The session priority determination apparatus according to any one of claims 5 to 6, wherein the dynamic session parameters include: when the average character input speed of the first user in the conversation page of the first user and the second user is within a preset time period; the analysis module comprises:
the average value calculation submodule is used for calculating the average value of the historical values of the dynamic session parameters;
the difference value calculation submodule is used for solving the difference value between the current value of the dynamic session parameter and the average value;
the ratio calculation submodule is used for calculating the ratio of the difference value to the average value;
the range determination submodule is used for determining preset ratio ranges in which the ratios are located, wherein each preset ratio range corresponds to a preset label value;
and the first setting submodule is used for determining the label value of the dynamic session parameter according to the corresponding relation between the preset ratio range and the preset label value.
8. The session priority determination apparatus according to claim 7, wherein the dynamic session parameters include: the shaking track and the average shaking times of the device logged in by the first user in a preset time period; the analysis module further comprises:
the first judging submodule is used for judging whether the shaking track of the device logged in by the first user is consistent with a preset track or not;
the second judgment submodule is used for judging whether the average shaking times is larger than or equal to a preset value or not when the shaking tracks of each time are consistent with a preset track;
and the second setting submodule is used for setting the label values of the shaking track and the average shaking times of the device logged in by the first user in the preset time period as preset values when the shaking track of each time is consistent with the preset track and the average shaking times is greater than or equal to the preset value.
9. A session priority determination apparatus, comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to perform the session priority decision method of any of the preceding claims 1-4.
10. A computer readable storage medium storing computer instructions, wherein the computer instructions, when executed by a processor, implement the steps of the method of any one of claims 1 to 4.
11. A method for obtaining dynamic session parameters, which is applied to a first device for a first user to log in, includes:
in the conversation process of a first user and a second user, acquiring a conversation state value of the first user;
calculating the dynamic session parameters of the first user according to the session state value of the first user; the dynamic session parameters include: at least one of an average character input speed of the first user, a shaking track and an average shaking number of the first device within a preset time period within a conversation page of the first user and the second user within the preset time period;
and sending the dynamic session parameters of the first user to the device logged with the second user, so that the device logged with the second user determines the session priority of the first user according to the dynamic session parameters of the first user.
12. The method according to claim 11, wherein the dynamic session parameters further include at least one of the following: the average occurrence frequency of the characters in the message sent by the first user to the second user in the preset time period and the average frequency of the message sent by the first user to the second user in the preset time period.
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