CN105491085A - Method and device for on-line requesting for queuing - Google Patents

Method and device for on-line requesting for queuing Download PDF

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Publication number
CN105491085A
CN105491085A CN201410472239.9A CN201410472239A CN105491085A CN 105491085 A CN105491085 A CN 105491085A CN 201410472239 A CN201410472239 A CN 201410472239A CN 105491085 A CN105491085 A CN 105491085A
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service request
user
queue
property value
stand
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CN105491085B (en
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贺子宸
张翔
朱瑜
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Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
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Alibaba Group Holding Ltd
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Abstract

The invention discloses a method and device for the on-line requesting for queuing. For example, the method can comprise the steps: responding to a service request of a user, and querying attribute values corresponding to a plurality of attributes of real-time updating user service data of the user; respectively carrying out the weighted calculation of the attribute values corresponding to the plurality of attributes through employing the weights corresponding to the plurality of attributes, and obtaining the comprehensive attribute value of the user; and determining the position of the service request of the user in a queue according to the comprehensive attribute value of the user. The method carries out queuing processing according to the plurality of attributes of the real-time updating user service data of the user, so the method can achieve the precise and intelligent queuing, achieves on-line queuing requesting meeting the true demand of the user, and improves the service performance. In addition, the invention also discloses an device for on-line requesting for queuing.

Description

A kind of online request queue method and device
Technical field
The application relates to online service field, particularly the online request queue method of one and device.
Background technology
Online service, refers to and utilizes Internet technology, provides the mode of online service to user.Online service constitutes the basis of internet, applications, and it comprises our common web-browsing, Email, forum, instant messaging, game, download and specialized information service, Online Video, on-line payment etc.
Along with the development of the Internet, increasing people uses online service.At a large number of users to when providing the central server of online service to send service request, server can be ranked to service request according to user's service request order of arrival, thus the service request of response user that can be orderly.
Such as, but only rank to user's service request according to order of arrival, not necessarily meet user's real demand, user's service request that demand is more urgent may can not get response for a long time.
Summary of the invention
In view of this, the object of the application is to provide a kind of online request queue method and device, to realize the online request queue meeting user's real demand, promotes service performance.
In first of the embodiment of the present application, provide a kind of online request queue method.Such as, the method can comprise: in response to the service request receiving user, inquires the property value that the multiple attribute of the real-time update user service data of described user is corresponding respectively; Utilize the weight that described multiple attribute is corresponding respectively, the property value corresponding respectively to described multiple attribute is weighted, and obtains the synthesized attribute value of described user; The position of the service request of described user in queue queue is determined according to the synthesized attribute value of described user.
In second of the embodiment of the present application, provide a kind of online request queue device.Such as, this device can comprise: query unit, in response to the service request receiving user, inquires the property value that the multiple attribute of the real-time update user service data of described user is corresponding respectively; Computing unit, for utilizing the weight that described multiple attribute is corresponding respectively, the property value corresponding respectively to described multiple attribute is weighted, and obtains the synthesized attribute value of described user; Queued units, for determining the position of the service request of described user in queue queue according to the synthesized attribute value of described user.
Visible the application has following beneficial effect:
Because the application obtains the real multiple attribute of user from user's service data of system real-time update, to rank process according to the real multiple attribute of user, can accomplish that accurate intelligent is queued up, realize the online request queue meeting user's real demand, promote service performance.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, the accompanying drawing that the following describes is only some embodiments recorded in the application, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The one online request queue method flow schematic diagram that Fig. 1 provides for the embodiment of the present application;
The one online request queue method interacting message schematic diagram that Fig. 2 provides for the embodiment of the present application;
The one online request queue apparatus structure schematic diagram that Fig. 3 provides for the embodiment of the present application.
Embodiment
Technical scheme in the application is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present application, technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
Only according to order of arrival, user's service request is ranked for prior art, the problem cannot queued up by user's request, present inventor finds, according to user's service data of system real-time update, therefrom can obtain the real multiple attribute of user, rank process according to the real multiple attribute of user, can accomplish that accurate intelligent is queued up, realize the online request queue meeting user's real demand, promote service performance.
The above analysis, the embodiment of the present application provides following queuing strategy and device.
Such as, see Fig. 1, it is the one online request queue method flow schematic diagram that the embodiment of the present application provides.As shown in Figure 1, the method can comprise:
S110, in response to the service request receiving user, inquire the property value that the multiple attribute of the real-time update user service data of described user is corresponding respectively.
Such as, in some possible execution modes, described multiple attribute can comprise: user asks record, user satisfaction record.
Wherein, described user asks the property value recording correspondence to comprise: receive (in such as 24 hours) in the preset duration before described service request and there is first score value corresponding to situation of request record and there is not second score value corresponding to situation of asking record.Particularly, such as, in the execution mode that some are possible, the first score value can be set and be greater than the second score value.Reason is, if user had request record before sending service request, illustrate that the service request of user is more urgent, the first score value is set to user's synthesized attribute value that higher score value can make to calculate higher, the user making request more urgent can priority treatment.It can be the first score value or the second score value that the user inquired asks to record corresponding property value.Wherein, user asks record can comprise online request record and incoming calls record.
Wherein, the property value that described user satisfaction record is corresponding can comprise: quartile, first request that the 3rd score value corresponding to low satisfaction, high satisfaction are corresponding and do not have the quintile corresponding to satisfaction record, non-request first and do not have the 6th score value corresponding to satisfaction record.Particularly, such as, in the execution mode that some are possible, for the user not having satisfaction record, if user repeatedly asks, illustrate that user's service request is relatively more urgent, urgent degree should be greater than the user asked first; For the user having satisfaction record, its satisfaction be maintained, need the user's respond services request more as soon as possible than low satisfaction.Therefore, the 6th score value > quintile > quartile > the 3rd score value can be set.
It should be noted that, can by gathering all satisfactions that this user in user's service data of system real-time update once submitted to, get its mean value, obtain the mean value corresponding to satisfaction of this user, by preset span corresponding with high satisfaction for the mean value corresponding to the satisfaction of this user and preset span corresponding to low satisfaction being compared, determine that this user satisfaction record belongs to one in high satisfaction or low satisfaction.If this user satisfaction record belongs to high satisfaction, then this property value corresponding to user satisfaction record is quartile corresponding to high satisfaction.If this user satisfaction record belongs to low satisfaction, then this property value corresponding to user satisfaction record is the 3rd score value corresponding to low satisfaction.The property value that the user satisfaction record inquired is corresponding can be any one in the 3rd score value, quartile, quintile or the 6th score value.
It should be noted that, the first score value described in the embodiment of the present application can pre-set according to actual needs to the score value size of the 6th score value.Such as, rule of thumb and repeatedly suitable numerical values recited can be determined by actual experiment.In addition, the attribute of user's service data can have a variety of, inquires user and asks the property value recorded, user satisfaction record is corresponding to be respectively only a kind of possible execution mode of the embodiment of the present application.In practical application, can need to arrange the property value needing to inquire which attribute in active user service data according to enforcement, the application does not limit this.
S120, the weight utilizing described multiple attribute difference corresponding, the property value corresponding respectively to described multiple attribute is weighted, and obtains the synthesized attribute value of described user.
In some possible execution modes, the user of active user service data can be asked to record, user satisfaction record two attribute is as the factor of synthesized attribute value being used for calculating user.Such as, can ask to record according to user, weight that user satisfaction record is corresponding, ask the property value recorded, user satisfaction record is corresponding to be weighted read group total to user, obtain the synthesized attribute value of user.
In some possible execution modes, except using the multiple attribute of active user service data except being used for the factor of the synthesized attribute value calculating user, can also using the stand-by period of service request as the factor being used for the synthesized attribute value calculating user.Particularly, such as, the embodiment of the present application can also add up the stand-by period of described service request, according to the default increment algorithm that the property value that the stand-by period of described service request is corresponding increases with the increase of described stand-by period, calculates property value corresponding to the stand-by period of described service request.In this embodiment, the described weight utilizing described multiple attribute difference corresponding, the property value corresponding respectively to described multiple attribute is weighted and can comprises: utilize the weight that described multiple attribute is corresponding respectively, and the weight that the stand-by period of described service request is corresponding, the property value corresponding respectively to described multiple attribute and property value corresponding to the stand-by period of described service request are weighted.
In some possible execution modes, except using the multiple attribute of active user service data except being used for the factor of the synthesized attribute value calculating user, can also using service request for the problem types of problem as the factor being used for the synthesized attribute value calculating user.Particularly, such as, the embodiment of the present application can also to described service request for problem carry out semantic analysis, obtain the problem types of described service request, inquire the property value that described problem types is corresponding.Wherein, the property value that different problem types is corresponding can carry out preset according to risk class.Such as, risk is higher, and corresponding property value can be larger.In this embodiment, the described weight utilizing multiple attribute difference corresponding, the property value corresponding respectively to multiple attribute is weighted and can comprises: utilize the weight that described multiple attribute is corresponding respectively, and the weight that described problem types is corresponding, the property value corresponding respectively to described multiple attribute and property value corresponding to described problem types are weighted.
In some possible execution modes, can in conjunction with above-mentioned two kinds of execution modes, using the stand-by period of service request and problem types common as the factor being used for the synthesized attribute value calculating user.Particularly, the described weight utilizing described multiple attribute difference corresponding, the property value corresponding respectively to described multiple attribute is weighted and can comprises: the weight utilizing the stand-by period of the weight that described multiple attribute is corresponding respectively, described service request corresponding and weight corresponding to described problem types, and the property value corresponding to the stand-by period of the corresponding respectively property value of described multiple attribute, described service request and property value corresponding to described problem types are weighted.
It should be noted that, the weighted calculation of the embodiment of the present application indication can be that weighted sum calculates.Such as, weighted sum calculation expression can be: P=∑ (Wx*Px), weight, Wx*: each Attribute Weight weight values, Px: each property value of described multiple attribute.But the application is not limited in the execution mode that weighted sum calculates this kind of weighted calculation, specifically can need according to enforcement the algorithm that weighted calculation is set.Such as, can average after weighted sum.
S130, determine the position of the service request of described user in queue queue according to the synthesized attribute value of described user.
Such as, in some possible execution modes, can according to the sequencing of service request in queue queue of the synthesized attribute value of user order ordering user from big to small.
Again such as, some possible execution modes, can in advance for different user rate range sets up the different queue queue of corresponding priority respectively.Such as, domestic consumer's queue, low priority honored guest Subscriber Queue, medium priority honored guest Subscriber Queue, high priority honored guest Subscriber Queue etc. can be set up in advance.After the service request receiving user, the user gradation of described user can also be inquired further.After the synthesized attribute value obtaining user, synthesized attribute value order arrangement sequencing from big to small can be pressed according to the service request of all users in a queue queue, the service request of described user is inserted into the position corresponding to the queue queue corresponding to the user gradation of described user.In this embodiment, when there is leisure service resource, according to priority order from high to low can travel through queue queue one by one, and to judge in the queue queue that traverses whether presence service request, if existed, stop traversal, by described leisure service Resourse Distribute to traverse, in the queue queue of presence service request, the service request that synthesized attribute value is maximum, deletes service request maximum for this synthesized attribute value from the queue queue at its place.
In addition, the embodiment of the present application can also in conjunction with other queuing policy common implementings.Such as, before the property value that the multiple attribute of the user's service data inquiring described user's real-time update is corresponding respectively, can also judge whether to allow to take the first queuing policy according to current service total amount.If allowed, service request described in described first queuing policy process can be taked.If do not allowed, inquire the step of the property value of the multiple attribute difference correspondence of user's service data of this user's real-time update described in can entering, and then the synthesized attribute value that the property value corresponding according to multiple attribute calculates is ranked.Wherein, when there is leisure service resource, before according to priority order from high to low travels through queue queue one by one, Resourse Distribute can also be carried out to the service request by the first queuing policy process.Carrying out after Resourse Distribute terminates to the service request by the first queuing policy process, if also have leisure service resource, described in entering, according to priority order from high to low travels through the step of queue queue one by one.It should be noted that, the first queuing policy can be the comparatively simple queuing policys of other any possible algorithms, such as, only presses stand-by period queuing, queues up etc. by user gradation and stand-by period.
Visible, the method that application the embodiment of the present application provides, owing to obtaining the real multiple personal attribute of user from user's service data of system real-time update, such as, user asks record, user satisfaction record etc., the stand-by period of real for user multiple personal attribute and service request, problem types is common as the factor of queuing up, carry out intelligent queuing process, therefore, can accomplish that accurate intelligent is queued up, realize the online request queue meeting user's real demand, promote service performance.
In order to service performance can be improved further, in some possible execution modes of the application, service request accepted and calculates synthesized attribute Distribution value to different platform process.Below, this execution mode is described in detail.
Such as, the mutual schematic diagram of signaling message shown in Figure 2.This execution mode can comprise:
S200, service request Acceptance Platform receive the service request of user.
S210, service request Acceptance Platform judge whether to allow to take the first queuing policy according to current service total amount.
If S220 allows, take service request described in described first queuing policy process.
If S230 does not allow, service request Acceptance Platform to priority computing platform send user profile and to received service request for problem carry out the problem types that semantic analysis obtains.
S240, priority computing platform, according to the user profile received, send to system data monitor supervision platform the request that the user inquiring about this user asks record, user satisfaction record and user gradation.
S250, system data monitor supervision platform are according to the request received from priority computing platform, from user's service data of real-time update, inquire user ask to record property value corresponding to corresponding property value, user satisfaction record and user gradation, and return to priority computing platform the user inquired and ask to record property value corresponding to corresponding property value, user satisfaction record and user gradation.
S260, priority computing platform utilize user to ask record, the stand-by period of user satisfaction record, service request, the weight of problem types difference correspondence, ask record, stand-by period of user satisfaction record, service request, problem types property value corresponding to be respectively weighted read group total to user, calculate the synthesized attribute value of user.
S270, priority computing platform send the synthesized attribute value calculated and the user gradation inquired to service request Acceptance Platform.
S280, service request Acceptance Platform are according to the size of the synthesized attribute value of described user, and press synthesized attribute value order arrangement sequencing from big to small according to the service request of all users in a queue queue, the service request of described user is inserted into the position corresponding to the queue queue corresponding to the user gradation of described user.
S290, service request Acceptance Platform is in response to there is leisure service resource, Resourse Distribute is carried out to the service request by the first queuing policy process, service request by the first queuing policy process is being carried out after Resourse Distribute terminates, if also have leisure service resource, according to priority order from high to low travels through queue queue one by one, and judge in the queue queue traversed, whether presence service request is in queuing, if existed, stop traversal, by described leisure service Resourse Distribute to traversing, in the queue queue of presence service request, the service request that synthesized attribute value is maximum, service request maximum for this synthesized attribute value is deleted from the queue queue at its place.
In this embodiment, accepting of the service request of user is divided into different platform process with the calculating of the synthesized attribute value of user, priority computing platform can share the pressure of service request Acceptance Platform, thus make service request Acceptance Platform can respond the service request of user's transmission fast, further increase service performance.
Corresponding with above-mentioned online request queue method, the embodiment of the present application additionally provides a kind of online request queue device.
Such as, see Fig. 3, it is the one online request queue apparatus structure schematic diagram that the embodiment of the present application provides.As shown in Figure 3, this device can comprise:
Query unit 310, may be used for the service request in response to receiving user, inquires the property value that the multiple attribute of user's service data of the real-time update of described user is corresponding respectively.Computing unit 320, may be used for the weight utilizing described multiple attribute corresponding respectively, and the property value corresponding respectively to described multiple attribute is weighted, and obtains the synthesized attribute value of described user.Queued units 330, may be used for determining the position of the service request of described user in queue queue according to the synthesized attribute value of described user.
In some possible execution modes, described multiple attribute can comprise: user asks record, user satisfaction record.Wherein, described user asks the property value recording correspondence to comprise: receive in the preset duration before described service request and there is first score value corresponding to situation of request and there is not second score value corresponding to situation of request.Such as, in the execution mode that some are possible, the first score value can be set and be greater than the second score value.Wherein, the property value that described user satisfaction record is corresponding can comprise: quartile, first request that the 3rd score value corresponding to low satisfaction, high satisfaction are corresponding and do not have the quintile corresponding to satisfaction record, non-request first and do not have the 6th score value corresponding to satisfaction record.
In some possible execution modes, except using the multiple attribute of active user service data except being used for the factor of the synthesized attribute value calculating user, can also be added the factor as the synthesized attribute value being used for calculating user the stand-by period of service request.Particularly, such as, the device that the embodiment of the present application provides can also comprise: stand-by period computing unit 340, may be used for the stand-by period adding up described service request, according to the default increment algorithm that the property value that the stand-by period of described service request is corresponding increases with the increase of described stand-by period, calculate property value corresponding to the stand-by period of described service request.Described computing unit 320, may be used for the weight utilizing described multiple attribute corresponding respectively, and the weight that the stand-by period of described service request is corresponding, the property value corresponding respectively to described multiple attribute and property value corresponding to the stand-by period of described service request are weighted.
In some possible execution modes, except using the multiple attribute of active user service data except being used for the factor of the synthesized attribute value calculating user, can also using service request for the problem types of problem as the factor being used for the synthesized attribute value calculating user.Particularly, such as, the device that the embodiment of the present application provides can also comprise question analysis unit 341, may be used for described service request for problem carry out semantic analysis, obtain the problem types of described service request.Computing unit 320, may be used for utilizing the weight that described multiple attribute is corresponding respectively, and the weight that described problem types is corresponding, and the property value corresponding respectively to described multiple attribute and property value corresponding to described problem types are weighted.
In some possible execution modes, can in conjunction with above-mentioned two kinds of execution modes, using the stand-by period of service request and problem types common as the factor being used for the synthesized attribute value calculating user.Particularly, computing unit 320 in the embodiment of the present application device, the weight that may be used for utilizing the stand-by period of the weight that described multiple attribute is corresponding respectively, described service request corresponding and weight corresponding to described problem types, the property value corresponding to the stand-by period of the corresponding respectively property value of described multiple attribute, described service request and property value corresponding to described problem types are weighted.
Some possible execution modes, the device that the embodiment of the present application provides can also comprise queue and set up unit 331, may be used in advance for different user rate range sets up the different queue queue of corresponding priority respectively; Inquiry level cells 332, may be used for the user gradation inquiring described user.Described queued units 330, may be used for arranging sequencing according to the service request of all users in a queue queue by synthesized attribute value order from big to small, the service request of described user is inserted into the position corresponding to the queue queue corresponding to the user gradation of described user.And, the device that the embodiment of the present application provides can also comprise: resource allocation unit 343, may be used for when there is leisure service resource, according to priority order from high to low travels through queue queue one by one, and judge in the queue queue traversed, whether presence service request is in queuing, if existed, stop traversal, by described leisure service Resourse Distribute to traverse, in the queue queue of presence service request, the service request that synthesized attribute value is maximum, deletes service request maximum for this synthesized attribute value from the queue queue at its place.
Visible, the device that configuration the embodiment of the present application provides, can according to user's service data of system real-time update, therefrom can obtain the real multiple personal attribute of user, intelligent queuing process is carried out according to the real multiple personal attribute of user, can accomplish that accurate intelligent is queued up, realize the online request queue meeting user's real demand, promote service performance.
It should be noted that, described stand-by period computing unit 340, question analysis unit 341, queue set up unit 331, inquiry level cells 332, resource allocation unit 343 in figure 3 with dotted lines, to represent that these unit are not the necessary unit of the device that the embodiment of the present application provides.
For convenience of description, various unit is divided into describe respectively with function when describing above device.Certainly, the function of each unit can be realized in same or multiple software and/or hardware when implementing of the present invention.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required general hardware platform by software and realizes.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for system embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
The present invention can be used in numerous general or special purpose computing system environment or configuration.Such as: personal computer, server computer, handheld device or portable set, laptop device, multicomputer system, system, set top box, programmable consumer-elcetronics devices, network PC, minicom, mainframe computer, the distributed computing environment (DCE) comprising above any system or equipment etc. based on microprocessor.
The present invention can describe in the general context of computer executable instructions, such as program module.Usually, program module comprises the routine, program, object, assembly, data structure etc. that perform particular task or realize particular abstract data type.Also can put into practice the present invention in a distributed computing environment, in these distributed computing environment (DCE), be executed the task by the remote processing devices be connected by communication network.In a distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium comprising memory device.
It should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
The foregoing is only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.All any amendments done within the spirit and principles in the present invention, equivalent replacement, improvement etc., be all included in protection scope of the present invention.

Claims (12)

1. an online request queue method, is characterized in that, comprising:
In response to the service request receiving user, inquire the property value that the multiple attribute of the real-time update user service data of described user is corresponding respectively;
Utilize the weight that described multiple attribute is corresponding respectively, the property value corresponding respectively to described multiple attribute is weighted, and obtains the synthesized attribute value of described user;
The position of the service request of described user in queue queue is determined according to the synthesized attribute value of described user.
2. method according to claim 1, is characterized in that, described multiple attribute comprises following two attribute: user asks record, user satisfaction record;
Wherein, described user asks the property value recording correspondence to comprise: receive in the preset duration before described service request and there is first score value corresponding to situation of request and there is not second score value corresponding to situation of request;
The property value that described user satisfaction record is corresponding comprises: quartile, first request that the 3rd score value corresponding to low satisfaction, high satisfaction are corresponding and do not have the quintile corresponding to satisfaction record, non-request first and do not have the 6th score value corresponding to satisfaction record.
3. method according to claim 1, it is characterized in that, also comprise: the stand-by period adding up described service request, according to the default increment algorithm that the property value that the stand-by period of described service request is corresponding increases with the increase of described stand-by period, calculate property value corresponding to the stand-by period of described service request;
The described weight utilizing described multiple attribute difference corresponding, the property value corresponding respectively to described multiple attribute is weighted and comprises:
Utilize the weight that described multiple attribute is corresponding respectively, and the weight that the stand-by period of described service request is corresponding, the property value corresponding respectively to described multiple attribute and property value corresponding to the stand-by period of described service request are weighted.
4. method according to claim 1, is characterized in that, also comprises:
To described service request for problem carry out semantic analysis, obtain the problem types of described service request;
The described weight utilizing multiple attribute difference corresponding, the property value corresponding respectively to multiple attribute is weighted and comprises:
Utilize the weight that described multiple attribute is corresponding respectively, and the weight that described problem types is corresponding, the property value corresponding respectively to described multiple attribute and property value corresponding to described problem types are weighted.
5. method according to claim 1, is characterized in that, also comprises:
Add up the stand-by period of described service request, according to the default increment algorithm that the property value that the stand-by period of described service request is corresponding increases with the increase of described stand-by period, calculate property value corresponding to the stand-by period of described service request;
Semantic analysis is carried out to the problem that described service request comprises, obtains the problem types of described service request;
The described weight utilizing described multiple attribute difference corresponding, the property value corresponding respectively to described multiple attribute is weighted and comprises:
The weight utilizing the stand-by period of the weight that described multiple attribute is corresponding respectively, described service request corresponding and weight corresponding to described problem types, the property value corresponding to the stand-by period of the corresponding respectively property value of described multiple attribute, described service request and property value corresponding to described problem types are weighted.
6. the method according to any one of claim 1-5, is characterized in that, also comprises: in advance for different user rate range sets up the different queue queue of corresponding priority respectively;
After the service request receiving user, also comprise: the user gradation inquiring described user;
The described synthesized attribute value according to user determines that the position of the service request of described user in queue queue comprises: the service request according to all users in a queue queue arranges sequencing by synthesized attribute value order from big to small, the service request of described user is inserted into the position corresponding to the queue queue corresponding to the user gradation of described user;
And, also comprise: when there is leisure service resource, according to priority order from high to low travels through queue queue one by one, and to judge in the queue queue that traverses whether presence service request, if existed, stop traversal, by described leisure service Resourse Distribute to traverse, in the queue queue of presence service request, the service request that synthesized attribute value is maximum, deletes service request maximum for this synthesized attribute value from the queue queue at its place.
7. method according to claim 6, is characterized in that, before the property value that the multiple attribute of the user's service data inquiring described user's real-time update is corresponding respectively, also comprises:
Judge whether to allow to take the first queuing policy according to current service total amount;
If allowed, take service request described in described first queuing policy process;
If do not allowed, described in entering, inquire the step of the property value of the multiple attribute difference correspondence of user's service data of this user's real-time update;
Wherein, when there is leisure service resource, before according to priority order from high to low travels through queue queue one by one, also comprise:
Resourse Distribute is carried out to the service request by the first queuing policy process;
Carrying out after Resourse Distribute terminates to the service request by the first queuing policy process, if also have leisure service resource, described in entering, according to priority order from high to low travels through the step of queue queue one by one.
8. an online request queue device, is characterized in that, comprising:
Query unit, in response to the service request receiving user, inquires the property value that the multiple attribute of the real-time update user service data of described user is corresponding respectively;
Computing unit, for utilizing the weight that described multiple attribute is corresponding respectively, the property value corresponding respectively to described multiple attribute is weighted, and obtains the synthesized attribute value of described user;
Queued units, for determining the position of the service request of described user in queue queue according to the synthesized attribute value of described user.
9. device according to claim 8, is characterized in that, also comprises:
Stand-by period computing unit, for adding up the stand-by period of described service request, according to the default increment algorithm that the property value that the stand-by period of described service request is corresponding increases with the increase of described stand-by period, calculate property value corresponding to the stand-by period of described service request;
Described computing unit, for utilizing the weight that described multiple attribute is corresponding respectively, and the weight that the stand-by period of described service request is corresponding, the property value corresponding respectively to described multiple attribute and property value corresponding to the stand-by period of described service request are weighted.
10. device according to claim 8, is characterized in that, also comprises:
Question analysis unit, for described service request for problem carry out semantic analysis, obtain the problem types of described service request;
Computing unit, for utilizing the weight that described multiple attribute is corresponding respectively, and the weight that described problem types is corresponding, the property value corresponding respectively to described multiple attribute and property value corresponding to described problem types are weighted.
11. devices according to claim 8, is characterized in that, also comprise:
Stand-by period computing unit, for adding up the stand-by period of described service request, according to the default increment algorithm that the property value that the stand-by period of described service request is corresponding increases with the increase of described stand-by period, calculate property value corresponding to the stand-by period of described service request;
Question analysis unit, for described service request for problem carry out semantic analysis, obtain the problem types of described service request;
Computing unit, for the weight that utilizes the stand-by period of the weight that described multiple attribute is corresponding respectively, described service request corresponding and weight corresponding to described problem types, the property value corresponding to the stand-by period of the corresponding respectively property value of described multiple attribute, described service request and property value corresponding to described problem types are weighted.
12. devices according to Claim 8 described in-11 any one, is characterized in that, also comprise: unit is set up in queue, in advance for different user rate range sets up the different queue queue of corresponding priority respectively; Inquiry level cells, for inquiring the user gradation of described user;
Described queued units, for pressing synthesized attribute value order arrangement sequencing from big to small according to the service request of all users in a queue queue, the service request of described user is inserted into the position corresponding to the queue queue corresponding to the user gradation of described user;
And, also comprise: resource allocation unit, for when there is leisure service resource, according to priority order from high to low travels through queue queue one by one, and judges in the queue queue traversed, whether presence service request is in queuing, if existed, stop traversal, by described leisure service Resourse Distribute to traverse, in the queue queue of presence service request, the service request that synthesized attribute value is maximum, deletes service request maximum for this synthesized attribute value from the queue queue at its place.
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