CN111260165B

CN111260165B - Service efficiency control method and device

Info

Publication number: CN111260165B
Application number: CN201811458224.1A
Authority: CN
Inventors: 刘刚刚; 卓呈祥; 薛盛杰; 霍士杰
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2018-11-30
Filing date: 2018-11-30
Publication date: 2022-07-08
Anticipated expiration: 2038-11-30
Also published as: CN111260165A

Abstract

The application provides a service efficiency control method and a device, wherein the method determines an efficient service provider and an inefficient service provider by acquiring service efficiencies of different service providers and based on the service efficiencies of the different service providers; then, acquiring a service strategy of the high-efficiency service provider, and determining a reference service strategy based on the service strategy of the high-efficiency service provider; and finally, sending the reference service policy to the inefficient service provider. By the method, the service efficiency of the inefficient service provider can be improved, the service efficiency difference of different service providers can be reduced, and the service resource ratio of different service providers can be balanced.

Description

Service efficiency control method and device

Technical Field

The application relates to the technical field of internet, in particular to a service efficiency control method and device.

Background

At present, in many business scenarios, due to different qualification experiences of different service providers and different service policies adopted when providing services, service efficiencies of different service providers are different. Generally, the service efficiency of the service provider is positively correlated with the allocation of the service resources, the higher the service efficiency of the service provider, the more service resources that can be allocated to the service provider, and conversely, the lower the service efficiency of the service provider, the fewer service resources that can be allocated to the service provider.

In view of the above characteristics, when allocating service resources based on service efficiency, if the service efficiency difference between different service providers is too large, it is easy to cause a situation that the service resources allocated to different service providers are unbalanced.

Disclosure of Invention

In view of this, an object of the embodiments of the present application is to provide a method and an apparatus for controlling service efficiency, so as to improve the service efficiency of an inefficient service provider, reduce the service efficiency difference between different service providers, and balance the service resource allocation between different service providers.

In a first aspect, the present application provides a service efficiency control method, including:

acquiring service efficiency of different service providers, and determining an efficient service provider and an inefficient service provider based on the service efficiency of the different service providers;

acquiring a service strategy of the high-efficiency service provider, and determining a reference service strategy based on the service strategy of the high-efficiency service provider;

and sending the reference service policy to the inefficient service provider.

In a possible implementation manner, before obtaining the service efficiencies of different service providers, the method further includes:

acquiring service behavior characteristics of different service providing ends in a preset historical time period;

dividing different service providing ends into different service sets based on the service behavior characteristics corresponding to each service providing end;

the determining an efficient service provider and an inefficient service provider based on the service efficiencies of the different service providers includes:

dividing the service providers in each service set into efficient service providers and inefficient service providers based on the service efficiency of the service providers in each service set;

the determining a reference service policy based on the service policy of the efficient service provider includes:

determining the reference service policy in each service set based on the service policy of the efficient service provider in each service set;

the sending the reference service policy to the inefficient service provider includes:

and respectively sending the reference service strategy corresponding to each service set to the inefficient service provider in each service set.

In a possible implementation manner, the dividing different service providers into different service sets based on the service behavior feature corresponding to each service provider includes:

calculating the similarity of the service behavior characteristics corresponding to every two service providing ends in different service providing ends;

and dividing the service providing terminals of which the similarity of the service behavior characteristics meets the first preset condition into the same service set.

In a possible embodiment, the service behavior feature comprises at least one of the following features:

the service duration within a preset historical time period;

the time for starting the service for the first time in the preset historical time period;

a geographic location at which service is first turned on within the preset historical time period;

the time of the last service ending in the preset historical time period;

a geographical location at which service was last ended within the preset historical time period.

In one possible embodiment, the determining a reference service policy based on the service policy of the efficient service provider includes:

and selecting the service strategies of any N efficient service providers from the efficient service providers, and determining the service strategies as the reference service strategies, wherein N is a positive integer.

determining an efficient service provider of which the service efficiency meets a second preset condition in the efficient service providers;

and determining the service strategy of the high-efficiency service provider with the service efficiency meeting the second preset condition as the reference service strategy.

calculating the similarity between the service behavior characteristics of each high-efficiency service provider in each service set and the service behavior characteristics of the ith low-efficiency service provider aiming at the ith low-efficiency service provider in each service set;

determining an efficient service provider with similarity to the service behavior characteristics of the ith inefficient service provider and meeting a third preset condition;

and determining the service strategy of the high-efficiency service provider with the similarity meeting the third preset condition as the reference service strategy.

In one possible embodiment, the service policy includes at least one of the following policies:

the time for starting the service every time in a preset historical time period;

a geographic location at each time a service is turned on within a preset historical time period;

the time of ending the service each time within a preset historical time period;

geographic location at each end of service within a preset historical time period;

time for executing service orders of different service types within a preset historical time period;

a start position and an end position when each service order is executed within a preset historical time period.

In one possible implementation, the sending the reference service policy to the inefficient service provider includes:

sending map information marked with coordinate points to the inefficient service provider;

wherein the coordinate point includes one or more of a geographic location each time a service is opened, a geographic location each time a service is ended, a start location and an end location each time a service order is serviced.

and determining that the change amplitude of the service behavior characteristics of different service providing ends in the adjacent preset historical time period is smaller than a preset amplitude value.

In a possible implementation manner, the obtaining the service efficiency of different service providers includes:

acquiring service income levels of different service providing ends in a unit time period;

and determining the service efficiency of each service provider based on the service income level corresponding to each service provider.

In a second aspect, the present application provides a service efficiency control apparatus, including:

the first determining module is used for acquiring the service efficiency of different service providing ends and determining an efficient service providing end and an inefficient service providing end based on the service efficiency of the different service providing ends;

the second determining module is used for acquiring the service strategy of the high-efficiency service provider and determining a reference service strategy based on the service strategy of the high-efficiency service provider;

and the sending module is used for sending the reference service policy to the inefficient service provider.

In one possible design, the first determining module, before determining the efficient service provider and the inefficient service provider based on service efficiencies of different service providers, is further configured to:

the first determining module, when configured to determine an efficient service provider and an inefficient service provider based on service efficiencies of different service providers, is specifically configured to:

the second determining module, when configured to determine a reference service policy based on the service policy of the efficient service provider, is specifically configured to:

the sending module, when configured to send the reference service policy to the inefficient service provider, is specifically configured to:

In a possible design, when dividing different service providers into different service sets based on the service behavior feature corresponding to each service provider, the first determining module is specifically configured to:

In one possible design, the service behavior feature includes at least one of the following features:

the service duration within a preset historical time period;

the time of the last service ending in the preset historical time period;

In one possible design, when determining the reference service policy based on the service policy of the efficient service provider, the second determining module is specifically configured to:

aiming at the ith low-efficiency service provider in each service set, calculating the similarity between the service behavior characteristics of each high-efficiency service provider in each service set and the service behavior characteristics of the ith low-efficiency service provider;

In one possible design, the service policy includes at least one of the following policies:

time to execute service orders of different service types within a preset historical time period;

In one possible design, when sending the reference service policy to the inefficient service provider, the sending module is specifically configured to:

In one possible design, the second determining module is further configured to:

before the service efficiency of different service providing ends is obtained, the change amplitude of the service behavior characteristics of the different service providing ends in the adjacent preset historical time period is determined to be smaller than the preset amplitude value.

In a possible design, when obtaining the service efficiencies of different service providers, the first determining module is specifically configured to:

The functions of the above modules may refer to the description of the first aspect, and will not be further described here.

In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, the processor and the memory communicate via the bus when the electronic device is running, and the machine-readable instructions, when executed by the processor, perform the steps of the service efficiency control method according to the first aspect or any one of the possible implementation manners of the first aspect.

In a fourth aspect, the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the service efficiency control method described in the first aspect or any one of the possible implementation manners of the first aspect.

In the embodiment of the application, the service efficiencies of different service providers are obtained, the efficient service provider and the inefficient service provider are determined based on the service efficiencies of the different service providers, then the reference service policy is determined according to the service policy of the efficient service provider, and the reference service policy is sent to the inefficient service provider. By the method, the inefficient service provider can acquire the reference service strategy of the efficient service provider, the inefficient service provider can adjust the service strategy in a targeted manner, the service efficiency of the inefficient service provider is effectively improved, the service efficiency gaps of different service providers are reduced, and the service resource ratio of different service providers can be balanced.

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

FIG. 1 is a schematic diagram of an architecture of a service system to which embodiments of the present application are applicable;

fig. 2 is a flowchart illustrating a service efficiency control method provided by an embodiment of the present application;

fig. 3 is a schematic flow chart illustrating another service efficiency control method provided by an embodiment of the present application;

fig. 4 is a schematic diagram illustrating a service provider partition set provided in an embodiment of the present application;

FIG. 5 is a schematic diagram illustrating a service policy in a specific application scenario provided by an embodiment of the present application;

fig. 6 is a schematic diagram illustrating an architecture of a service efficiency control apparatus 600 according to an embodiment of the present application;

fig. 7 shows a schematic structural diagram of a computer device 700 provided in an embodiment of the present application.

Detailed Description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.

In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, as generally described and illustrated in the figures herein, could be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

First, an application scenario to which the embodiments of the present application are applicable will be described. The method and the device for providing the same service are applicable to a scene that a plurality of service providing terminals provide the same service. The service provider may be understood as a terminal used by the service provider, that is, a service provider terminal. In an example, taking the service as a taxi taking service, the service provider is, for example, a driver, and a plurality of drivers can use the terminal to receive and execute the taxi taking orders assigned by the taxi taking platform. In another example, taking the service as the order service, the service provider is, for example, a deliverer, and a plurality of deliverers can receive and execute order orders and the like assigned by the order platform through the terminal. Of course, the application scenarios to which the embodiment of the present application is applicable are not limited to the above two examples, and may also be applied to any scenario that requires multiple service providers to provide the same service, such as an express service.

It should be noted that, considering that when the same service is provided by different service providers, service policies or service experiences adopted by different service providers are different, which makes service efficiencies of different service providers different, and further, service resources allocated to different service providers based on the service efficiencies are different, so that a problem of a large difference between service resources allocated to different service providers may occur, which is likely to cause a loss of the service provider on the one hand and is not beneficial to the service provider to improve the service efficiency on the other hand.

In view of the above problems, embodiments of the present application provide a method and an apparatus for controlling service efficiency to improve service efficiency of inefficient service providers, reduce service efficiency differences between different service providers, and balance service resource allocations of different service providers.

Referring to fig. 1, a schematic diagram of an architecture of a service system to which an embodiment of the present invention is applicable is shown, which includes a service server, at least one service provider, and at least one service requester. The service execution flow generally includes: the service request end can send a service request to the service server, and the service server forwards the service request to the corresponding service providing end, and the service providing end provides the service. In addition, the server can collect relevant data of each service provider and each service request during the service execution process, so as to determine characteristic information of each service provider and each service request, and realize management and the like of each service provider and each service request in the service system based on the characteristic information of each service provider and each service request.

According to the embodiment of the application, the business server can obtain the service efficiency of different service providing ends, determine the low-efficiency service providing end and the high-efficiency service providing end based on the service efficiency of the different service providing ends, further obtain the service strategy of the high-efficiency service providing end, determine the reference service strategy based on the service strategy of the high-efficiency service providing end, and send the reference service strategy to the low-efficiency service providing end, so that the low-efficiency service providing end can obtain the reference service strategy of the high-efficiency service providing end, the low-efficiency service providing end can conveniently and pointedly adjust the service strategy, further the service efficiency of the low-efficiency service providing end is effectively improved, the service efficiency difference of the different service providing ends is reduced, and the service resource ratio of the different service providing ends can be balanced.

Hereinafter, the service efficiency control method and apparatus provided by the present application will be described in detail with reference to specific embodiments. It will be understood that in embodiments of the present application, where the term "comprises" is used, this is intended to indicate the presence of the features hereinafter claimed, but does not exclude the addition of further features. The qualifiers "first", "second", etc. used in the embodiments of the present application are only used to distinguish the features, and do not limit the order of precedence between the features or imply the degree of importance, etc. In the embodiment of the present application, "service provider", and "service provider terminal" may be used interchangeably.

Example one

Referring to fig. 2, a schematic flow chart of a service efficiency control method provided in the embodiment of the present application is shown, including:

step 201, obtaining service efficiencies of different service providers, and determining an efficient service provider and an inefficient service provider based on the service efficiencies of the different service providers.

The service provider may be a provider providing service services to the service requester, for example, the service provider may be a driver providing a taxi taking service through the taxi taking platform, or a delivery person providing a meal ordering service through the meal ordering platform, etc.

In the embodiment of the application, the service server can count the service efficiency of different service providers by acquiring the data uploaded to the service server by the different service providers in the process of providing the service or waiting for service distribution, so as to determine the efficient service provider and the inefficient service provider.

In one possible embodiment, the inefficient service providers and the efficient service providers may be determined in two ways:

the first method is as follows: and determining the service provider with the service efficiency lower than the first preset service efficiency as an inefficient service provider, and determining the service provider with the service efficiency higher than the second preset service efficiency as an efficient service provider, wherein the second preset service efficiency is greater than or equal to the first preset service efficiency.

In one example, when the second predetermined service efficiency is equal to the first predetermined service efficiency, the total service providers can be classified into two types, one type is the inefficient service provider and the other type is the efficient service provider. In another example, when the second preset service efficiency is greater than the first preset service efficiency, all the service providers may be classified into three classes, the first class is the low-efficiency service provider, the second class is the high-efficiency service provider, and the third class is an intermediate service provider having a service efficiency higher than the first preset service efficiency and lower than the second preset service efficiency. Because the service policy of the high-efficiency service provider is more beneficial to the improvement of the service efficiency of the low-efficiency service provider than the service policy of the intermediate service provider, the service policy of the intermediate service provider may not be used as a reference in the embodiment of the present application.

The second method comprises the following steps: sequencing the service efficiency of each service provider from high to low, and ranking the service efficiency at the top N₁The service provider of the bit is determined as an efficient service provider, and the service efficiency is ranked at the next N₂The service provider of the bit is determined to be an inefficient service provider, where N₁And N₂May be the same or different.

For example, if there are 100 service providers, the service efficiencies of the 100 service providers may be sorted in descending order, and then the service provider with the service efficiency ranked at the top 15 bits is determined as the high-efficiency service provider, and the service provider with the service efficiency ranked at the bottom 10 bits is determined as the low-efficiency service provider, or the service provider with the service efficiency ranked at the top 15 bits is determined as the high-efficiency service provider, and the service provider with the service efficiency ranked at the bottom 15 bits is determined as the low-efficiency service provider.

For example, considering that the service income level of the service provider can reflect the service efficiency of the service provider from the side, generally speaking, when the service efficiency of the service provider is higher, the service income level that can be achieved is higher, and conversely, when the service efficiency of the service provider is lower, the service income level that can be achieved is lower, based on the above characteristics, the service efficiencies of different service providers can be calculated according to the following manners in the embodiments of the present application: acquiring service income levels of different service providing ends in unit time; and determining the service efficiency of each service provider based on the service income level corresponding to each service provider.

Taking the service efficiency of the driver of the taxi taking platform as an example, the service efficiency of the driver of the taxi taking platform can be represented by an Income PerHour (IPH) value. For example, if the service duration of a driver is 2 hours a day and the total income of a day is 100 yuan, the IPH value of the driver of the taxi taking platform is 50 yuan/hour. Then, the IPH value of each driver of the taxi taking platform can be analyzed, and then whether each driver in the taxi taking platform is an efficient driver or an inefficient driver can be determined.

Step 202, obtaining a service policy of the efficient service provider, and determining a reference service policy based on the service policy of the efficient service provider.

In the embodiment of the present application, since the service efficiency of each service provider actually has a certain correlation with the service policy of the service provider, generally, the service policy of the service provider is better formulated, and then the service efficiency of the service provider is higher. Therefore, in the embodiment of the application, the service policies of the efficient service provider can be obtained, and the reference service policy is selected from the service policies of the efficient service provider to be referred by the inefficient service provider.

In one possible embodiment, the service policy comprises at least one of the following policies:

For example, taking the taxi taking platform as an example, the service provider of the taxi taking platform is a driver, and the time for starting the service each time in the preset historical time period can be the time for the driver to listen to the order through the taxi taking platform in a certain day; the geographical position of the service starting in the preset historical time period can be the position of a driver when the driver starts to listen to the order through the taxi taking platform in a certain day; the time for finishing the task each time in the preset historical time period can be the time for stopping listening to the order by the driver through the taxi taking platform on a certain day; the geographical position of each service ending time in the preset historical time period can be the position of a driver when the driver stops listening to the order through the taxi taking platform in a certain day; the time for executing different types of service orders in the preset historical time period can be the time for a driver to respectively execute a windward order, an order for reserving a car and a real-time order through a car-taking platform in a certain day; the starting and ending positions at which each service order is executed within the preset historical time period may be the starting and ending positions of each ride order executed by the driver on a certain day.

The determination of the reference service policy based on the service policy of the efficient service provider will be described in detail in embodiment two, and will not be explained here.

Step 202, sending the reference service policy to the inefficient service provider.

After the inefficient service provider receives the reference service policy, the service policy of the inefficient service provider can be adjusted according to the reference service policy, so that the service efficiency of the inefficient service provider is improved.

For example, assuming that the driver 1 and the driver 2 both receive the riding orders through the same taxi taking platform, the driver 1 is an efficient driver, and the driver 2 is an inefficient driver, in this case, the service policy of the driver 1 may be sent to the driver 2, so that the driver 2 can know the service policy of the driver 1, and adjust the service policy of the driver 2, thereby improving the service efficiency.

According to the service efficiency control method provided by the embodiment of the application, the service efficiency of different service providing ends is obtained, the inefficient service providing end and the efficient service providing end are determined based on the service efficiency of the different service providing ends, the service strategy of the efficient service providing end is further obtained, the reference service strategy is determined based on the service strategy of the efficient service providing end, and the reference service strategy is sent to the inefficient service providing end, so that the inefficient service providing end can know the reference service strategy of the efficient service providing end, the inefficient service providing end can conveniently and pointedly adjust the service strategy, the service efficiency of the inefficient service providing end is further effectively improved, the service efficiency difference of the different service providing ends is reduced, and the service resource ratio of the different service providing ends can be balanced.

Example two

In the embodiment of the application, considering that the service capabilities of different service providers may be different, the application may first determine which service providers have similar service capabilities by obtaining and analyzing service behavior characteristics of the different service providers in a preset historical time period, and then push the reference service policy of the efficient service provider having similar service capabilities to the inefficient service provider having similar service capabilities for each class of service providers having similar service capabilities, so that the selected reference service policy is more targeted and has more guiding significance for the inefficient service provider to improve the service efficiency.

Referring to fig. 3, a schematic flow chart of another service efficiency control method provided in the embodiment of the present application is shown, including the following steps:

step 301, obtaining service behavior characteristics of different service providers in a preset historical time period.

Wherein the service behavior characteristics include at least one of the following characteristics:

the service duration within a preset historical time period;

the time of the last service ending in the preset historical time period;

Taking the taxi taking platform as an example, if the service providing end of the taxi taking platform is a driver, the service duration in the preset historical time period can be the duration of the service provided by the driver using the driver client in the preset historical time period; the time for starting the service for the first time in the preset historical time period can be the time for the driver to log in the driver client for the first time in the preset historical time period and trigger a start order taking button; the geographical position of the driver when the service is started for the first time in the preset time period can be the geographical position of the driver when the driver logs in the driver client for the first time in the preset historical time period and triggers the order taking button; the time of ending the service for the last time in the preset historical time period can be the time when the driver triggers the order taking-off button in the driver client in the preset historical time period; the geographical location at which the service was last ended within the preset historical time period may be the geographical location at which the driver was when the order taking button was stopped in the driver client triggered the preset historical time period.

For example, assuming that the preset historical time period is one day, for each service behavior feature of the service provider, a value of the service behavior feature of the service provider on each of N consecutive days may be determined, then an average value of the service behavior features corresponding to each of N consecutive days is obtained, and the average value is used as a value of the service behavior feature in the preset historical time period.

For example, the preset historical time period may be a preset time period before the service provider provides the service last time, for example, for a driver of a taxi platform, the service behavior feature of the preset historical time period may be a service behavior feature of a day before the driver provides the service last time. Because the service policies of the same service providing end in different time are possibly different, the reference service policy obtained by analyzing the service behavior characteristics closer to the current time is more instructive.

And 302, dividing different service providing ends into different service sets based on the service behavior characteristics corresponding to each service providing end.

In the embodiment of the application, after the service behavior characteristics of each service provider are obtained, since the service behavior characteristics can reflect the service capability of the service provider for providing the service, different service providers can be divided into different service sets based on the service behavior characteristics corresponding to each service provider, wherein the service capabilities of the service providers in the same service set are similar, that is, the reference value between the service policies of the service providers in the same service set is higher.

For example, assuming that there are M service providers, each service provider has R service behavior features, R is greater than or equal to 1, M is greater than 1, and M, R are positive integers, and different service providers may be divided into different service sets based on the R service behavior features.

As shown in fig. 4, according to R service behavior features, M service providers are divided into P service sets, and for a specific dividing process, the following two ways may be referred to:

the first method is as follows: and calculating the similarity of the service behavior characteristics between every two different service providing terminals, and dividing the service providing terminals of which the similarity of the service behavior characteristics meets a first preset condition into the same service set.

Specifically, the first similarity of each two service providers of the M service providers to the same service behavior feature may be calculated, and if there are R service behavior features, R first similarities corresponding to R different service behavior features may be obtained for each two service providers. Further, because the correlation between different service behavior characteristics and the service capability is different, different weights can be given to different service behavior characteristics, and for R different service behavior characteristics, R first similarities can be multiplied by the weight corresponding to the service behavior characteristic, and then the R multiplied results are added to obtain the similarity between the two service providing terminals.

Further, after calculating the similarity between every two service providers, the service providers whose similarity meets the first preset condition may be divided into the same service set. Wherein the first preset condition may be any one of the following conditions:

condition 1: the similarity is greater than or equal to a preset similarity.

Condition 2: and arranging all the calculated similarities according to a descending order, and dividing the service providing ends corresponding to the first K similarities into the same service set, wherein K is a positive integer.

Several calculation methods for calculating the first similarity of each two service providers to the same service behavior feature are listed below.

(1) Taking the service behavior characteristics as the service duration as an example, and taking any two service providers as the service provider a and the service provider B as an example, then calculating the first similarity of the service durations of the service provider a and the service provider B in the preset historical time period may be:

calculating the difference between the service duration of the service provider A and the service duration of the service provider B in a preset historical time period, and then determining a first similarity corresponding to the difference between the service durations according to the difference between the service durations.

The correspondence between the difference between the service durations and the different first similarities between the service provider a and the service provider B is shown in table 1 below, for example:

TABLE 1

(2) Taking the service behavior characteristic as the time for starting the service for the first time in the preset historical time period as an example, and taking any two service providers as the service provider a and the service provider B as an example, then calculating the first similarity of the time for starting the service for the first time in the preset historical time period by the service provider a and the service provider B may be:

calculating a time interval between the time when the service provider A starts the service for the first time in the preset historical time period and the time when the service provider B starts the service for the first time in the preset historical time period, and then determining a first similarity corresponding to the calculated time interval.

The correspondence between the time interval and the different first similarities between the service provider a and the service provider B is shown in, for example, table 2 below:

TABLE 2

(3) When the service behavior characteristic is the time of ending the service for the last time within the preset time period, the calculation method of the first similarity of the time of ending the service for the last time within the preset time period by each two service providing terminals is similar to the calculation method of the first similarity of the time of starting the service for the first time within the preset historical time period, and details are not repeated here.

(4) Taking the service behavior characteristic as the geographical position when the service is started for the first time in the preset historical time period as an example, taking any two service providers as the service provider a and the service provider B as an example, calculating the geographical positions of the service provider a and the service provider B when the service is started for the first time in the preset historical time period may be:

calculating the distance between the geographical position of the service provider A when the service is started for the first time and the geographical position of the service provider B when the service is started for the first time in a preset historical time period, and then determining the first similarity of the geographical positions of the service provider A and the service provider B when the service is started for the first time according to the distance.

The correspondence between the first similarities of the geographic locations when the service is first started between the service provider a and the service provider B is, for example, as shown in table 3 below:

TABLE 3

(5) When the service behavior is characterized by the geographical position when the service is ended for the last time within the preset time period, the calculation method of the first similarity of the geographical positions when every two service providing ends finish the service for the last time within the preset time period is similar to the calculation method of the first similarity of the geographical positions when the service is started for the first time within the preset historical time period, and details are not repeated here.

The second method comprises the following steps: different weights are respectively given to different service behavior characteristics, different first scores are respectively given to each service behavior characteristic of a service provider, for each service provider, the total score of the service behavior characteristics of each service provider is calculated according to the weight and the first score corresponding to each service behavior characteristic, and then the service providers are divided into different service sets according to the calculated total score corresponding to each service provider.

For example, it is assumed that the service provider has four service providers a, B, C, and D, the service behavior features have four service behavior features Q, W, E, and R, the weights of the four service behavior features are 10%, 20%, 30%, and 40%, respectively, and the first score of each service behavior feature corresponding to each service provider is as shown in table 4 below:

TABLE 4

	Q	W	E	R
					A	5	5	6	9
B	7	5	6	3
					C	5	6	7	8
D	2	6	8	8

Based on the contents in table 4, the total score of the service behavior characteristics of the service provider a can be calculated as:

5×10％+5×20％+6×30％+9×40％＝6.9

similarly, the total scores of the service behavior characteristics of the service providers B, C, and D may be calculated, and then the service providers may be divided into different service sets according to the calculated total scores of the service providers.

For example, the total score of the service behavior characteristics of all the service providers can be made from largeTo a small order, arrange the first N₁Dividing service providing ends corresponding to the total score of each service behavior characteristic into the same service set, and dividing the Nth service providing end into the same service set₁～N₂Dividing service providing ends corresponding to the total score of each service behavior characteristic into the same service set, and dividing the Nth service providing end into the same service set₂And dividing service providing ends corresponding to the total scores of the service behavior characteristics after the total score of the service behavior characteristics into the same service set.

In a possible implementation, the determination of the first score for each service behavior characteristic may be performed as follows:

each service behavior feature is divided into different service grades, and different first scores are given to the different service grades.

Taking the service duration in the preset historical time period as an example, the following table 5 shows:

TABLE 5

According to the service duration of each service provider in the preset historical time period, a first score of the service duration of each service provider in the preset historical time period can be determined. The determination of the first score of the remaining service behavior characteristics is similar to the above-described manner, and will not be described herein again.

And step 303, dividing the service providers in each service set into efficient service providers and inefficient service providers based on the service efficiency of the service providers in each service set.

In this step, the manner of dividing the efficient service provider and the inefficient service provider for each service set may refer to the description of dividing the efficient service provider and dividing the inefficient service provider in the previous embodiment, and the description is not further provided herein.

And step 304, determining a reference service policy in each service set based on the service policy of the high-efficiency service provider in each service set.

For each service set, the method for determining the reference service policy may be any one of the following methods:

the method comprises the following steps: selecting the service strategies of any N efficient service providers from the efficient service providers, and determining the service strategies as reference service strategies, wherein N is a positive integer.

The second method comprises the following steps: determining an efficient service provider with service efficiency meeting a second preset condition in the efficient service providers; and determining the service strategy of the high-efficiency service provider with the service efficiency meeting the second preset condition as a reference service strategy.

The second preset condition may be that all the efficient service providers in the same set are arranged in a descending order, and then the service policy of the efficient service provider with the service efficiency at the top H bit is determined as a reference service policy, where H is a positive integer.

The third method comprises the following steps: calculating the similarity between the service behavior characteristics of each high-efficiency service provider in each service set and the service behavior characteristics of the ith low-efficiency service provider aiming at the ith low-efficiency service provider in each service set; then determining an efficient service provider with similarity to the service behavior characteristics of the ith inefficient service provider and meeting a third preset condition; and finally, determining the service strategy of the high-efficiency service provider with the similarity meeting a third preset condition as a reference service strategy.

For example, the third preset condition may be that the similarity between the ith inefficient service provider and the ith inefficient service provider exceeds a preset value. For example, the service policy of each efficient service provider in each service set, whose similarity with the ith inefficient service provider exceeds a preset value, is determined as the reference service policy.

For example, the third preset condition may be that the similarity with the ith inefficient service provider is highest. For example, the service policy of the high-efficiency service provider with the highest similarity to the ith low-efficiency service provider in each service set is determined as the reference service policy.

For example, the third preset condition may be that the similarity between each efficient service provider and the ith inefficient service provider in the service set where the ith inefficient service provider is located is sorted from large to small, and the similarity is located at the top J. For example, in the service set where the ith inefficient service provider is located, the similarity between each efficient service provider and the ith inefficient service provider is sorted from large to small, and the service policy of the efficient service provider with the similarity located at the top J is determined as the reference service policy.

And 305, respectively sending the reference service policy corresponding to each service set to the inefficient service provider in each service set.

In one possible implementation, the same reference service policy is sent separately for each inefficient service provider in each service set, for example, the service efficiency of the efficient service provider with the highest service efficiency in the service set, or the reference service policy corresponding to each inefficient service provider is sent separately. The reference service policy corresponding to each inefficient service provider may be determined in a manner described in step 304.

In another possible implementation manner, the service efficiencies of all the inefficient service providers in each service set are sorted in order from small to large, and the same reference service policy is sent to the inefficient service providers arranged at the top D bits, for example, the service efficiency of the efficient service provider with the highest service efficiency in the service set, or the reference service policies respectively corresponding to the inefficient service providers at the top D bits are sent. The reference service policy corresponding to each inefficient service provider may be determined in a manner described in step 304.

In specific implementation, after receiving the reference service policy, the inefficient service provider may adjust the service policy of the inefficient service provider according to the reference service policy, thereby improving the service efficiency of the inefficient service provider. Taking a driver of a taxi taking platform as an example, if the service duration, the first service starting time and the last service ending time of two drivers in preset historical time are the same, but one of the two drivers is an efficient driver, the IPH value is higher, the other is a low-efficiency driver, and the IPH value is lower, the service strategy of the efficient driver can be sent to the low-efficiency driver, and after the low-efficiency driver receives the service strategy of the efficient driver, the service strategy of the low-efficiency driver can be adjusted in a targeted manner, so that the service efficiency of the low-efficiency driver is improved.

In addition, in the embodiment of the present application, because it is considered that the service policy of the service provider with large fluctuation of the service behavior characteristics generally hardly brings a good guiding effect to the inefficient service provider, in an implementation process of the embodiment of the present application, before obtaining the service efficiency of different service providers, it may be determined that the change service of the service behavior characteristics of different service providers in adjacent preset historical time periods is smaller than the preset amplitude value. That is to say, a service provider with stable change of service behavior characteristics is selected from all service providers of the service platform, and then the service efficiency control method provided by the application is executed for the service provider with stable change of service behavior characteristics, so as to determine a reference service policy with guiding effect for the inefficient service provider.

For example, if the service providing end is a driver providing taxi taking services through the taxi taking platform, and the service behavior characteristic is the duration of the taxi taking services provided by the driver through the taxi taking platform, before obtaining the service efficiency of the driver, it may be determined that the variation of the duration of the taxi taking services provided by the driver through the taxi taking platform in the last week is smaller than the preset amplitude value. The design in the above example mainly considers that drivers who provide taxi taking services on the taxi taking platform are full-time drivers and part-time drivers, the duration of the part-time drivers who provide taxi taking services on the taxi taking platform is variable, and the guidance significance of a reference service strategy determined based on the service strategy of the part-time drivers to improving the service efficiency of full-time inefficient drivers is small, so that the part-time drivers can be eliminated through the analysis of service duration.

According to the service efficiency control method provided by the embodiment of the application, different service providers are divided into different service sets by acquiring the service behavior characteristics of the different service providers in a preset historical time period and based on the service behavior characteristics corresponding to each service provider; then based on the service efficiency of the service providers in each service set, dividing the service providers in each service set into efficient service providers and inefficient service providers; determining a reference service strategy in each service set based on the service strategy of the high-efficiency service provider in each service set; and finally, sending the reference service strategy corresponding to each service set to the inefficient service provider in each service set. In this way, the service providers are firstly subjected to set division based on the service behavior characteristics, so that the reference service policy generated for each service set can have a guiding effect on the inefficient service providers in the service set. After the low-efficiency service providing terminal obtains the reference service strategy of the high-efficiency service providing terminal, the low-efficiency service providing terminal is convenient to adjust the service strategy in a targeted manner, so that the service efficiency of the low-efficiency service providing terminal is effectively improved, the service efficiency difference of different service providing terminals is reduced, and the service resource ratio of the different service providing terminals can be balanced.

EXAMPLE III

For convenience of understanding, in the embodiments of the present application, the service efficiency control method mentioned in the first embodiment and the second embodiment is exemplarily described by taking the driver of the taxi taking the service provider as the taxi-taking platform as an example.

Firstly, obtaining the service behavior characteristics of each driver, then dividing different drivers into different service sets according to the value of each driver to the service behavior characteristics, and then determining the service efficiency of each driver in the service set aiming at each service set.

Wherein the service behavior characteristics include at least one of the following characteristics: the service duration within a preset historical time period; the time for starting service for the first time in a preset historical time period; a geographical location when service is first turned on within a preset historical time period; the last time the service is ended within a preset historical time period; the geographical location at the last time the service was ended within a preset historical period of time.

For the driver of the taxi taking platform, the preset time period is set to be one day, and then the service behavior characteristic can be at least one of an online time length, a time for starting taxi taking service for the first time, a geographic position for starting taxi taking service for the first time, a time for finishing taxi taking service for the last time, and a geographic position for finishing taxi taking service for the last time in the one day. The time for starting the taxi taking service and the geographic position can be, for example, the time for the driver to trigger a start order taking button in the driver client and the geographic position where the driver is located, and the time for finishing the taxi taking service and the geographic position can be, for example, the time for the driver to trigger a stop order taking button in the driver client and the geographic position where the driver is located.

Second, for drivers in each service set, efficient drivers and inefficient drivers may be divided according to the service efficiency of each driver. Since the Income level of the driver in the unit time can reflect the service efficiency of the driver laterally, in the embodiment of the present application, the service efficiency can be, for example, the Income level in the unit time, which is expressed by an Hour Income value (Income Per Hour, IPH) value in this example.

Specifically, the method for dividing drivers in the same service set into efficient drivers and inefficient drivers according to the difference of IPH values of different drivers may be any one of the following methods:

the first method is as follows: and confirming drivers with the IPH value exceeding the first preset service efficiency in the same service set as high-efficiency drivers, and confirming drivers with the IPH value smaller than the second preset service efficiency in the same service set as low-efficiency drivers.

The second method comprises the following steps: arranging the IPH values of drivers in the same service set from big to small, and then arranging the IPH values at the top N₁The drivers corresponding to the IPH values are determined as high-efficiency drivers, and are arranged in the next N₂The driver corresponding to each IPH value is identified as an inefficient driver.

After dividing drivers in the same service set into efficient drivers and inefficient drivers, the service policies of the efficient drivers in the service set can be obtained, and then a reference service policy is selected from the service policies of the efficient drivers and recommended to the inefficient drivers.

In one possible embodiment, for each inefficient driver, a service policy of the efficient driver, in which the service behavior feature of the efficient driver is in the service set and the similarity between the service behavior feature and the service behavior feature of the inefficient driver satisfies a third preset condition, may be obtained, and the reference service policy of the efficient driver may be sent to the inefficient driver. The third preset condition is the same as the third preset condition described in the second embodiment, and will not be described herein again.

For example, the low-efficiency driver may send a request for obtaining the reference service policy of the high-efficiency driver to the business server, or the business server may automatically send the reference service policy of the high-efficiency driver to the low-efficiency driver periodically.

In one example, the reference service policy pushed by the business server to the client of the inefficient driver includes, for example, the order taking activity area of the efficient driver in one day, and the like. As shown in fig. 5, A, B, C, D, E, F shows different sections of the pick-up activity area for a high-efficiency driver, the dots in the figure show the geographical position of the driver for each pick-up in the day and the geographical position of the driver when the service is finished in the preset historical time period, wherein the dark dots show the position information of the driver for each pick-up through the taxi platform, and the light dots show the position information of the driver when the service is finally finished through the taxi platform, as can be seen from fig. 5, the high-efficiency driver mainly takes the pick-up in the B, C area, the place for finishing the service is mainly the a area, and the driver rarely takes the pick-up in the D, E, F area.

In another example, the reference service policy pushed by the traffic server to the client of the inefficient driver may further include the service policy of the efficient driver, for example, as shown with reference to table 6:

TABLE 6

The table describes the order taking strategy of the efficient drivers 01, 02 and 03 from 30 days in 5 months in 2018 to 31 days in 5 months in 2018, and the table describes the online time and the offline time of the efficient drivers 01, 02 and 03 in detail, wherein the online time is the time when the drivers start the service, the offline time is the time when the drivers finish the service, the real-time order is heard to indicate the service types of the bus orders executed by the drivers, and the order information indicates the starting position and the ending position when each bus order is executed.

Taking an efficient driver 01 as an example, the service strategy comprises the steps that the driver starts service in 30/5/2018 at 09:30:08, receives a real-time order in 30/5/2018 at 10:46:53, and finishes service from shou Changshou No. 155 in Putuo district to Paris spring (Shanxi way shop) in 30/2018 at 11:12: 00.

After receiving the service strategy of the efficient driver, the inefficient driver can correspondingly adjust the service strategy according to the online time and the offline time of the efficient driver, the service type for executing the bus taking order, and the starting position and the ending position for executing the bus taking order.

By adopting the mode, the service strategy of the low-efficiency driver is adjusted in a targeted manner by indicating the low-efficiency driver and the high-efficiency driver, so that the service efficiency of the low-efficiency driver is effectively improved, the service efficiency gaps of different drivers are reduced, and the service resource ratios of the different drivers are balanced.

Based on the same technical concept, a service efficiency control device corresponding to the service efficiency control method is also provided in the embodiments of the present application, and because the principle of solving the problem of the device in the embodiments of the present application is similar to that of the service efficiency control method in the embodiments of the present application, the implementation of the device may refer to the implementation of the method, and repeated details are not repeated.

Example four

Referring to fig. 6, a schematic structural diagram of a service efficiency control apparatus 600 provided in the embodiment of the present application is shown, including a first determining module 601, a second determining module 602, and a sending module 603, specifically:

a first determining module 601, configured to obtain service efficiencies of different service providers, and determine an efficient service provider and an inefficient service provider based on the service efficiencies of the different service providers;

a second determining module 602, configured to obtain a service policy of the efficient service provider, and determine a reference service policy based on the service policy of the efficient service provider;

a sending module 603, configured to send the reference service policy to the inefficient service provider.

In one possible design, the first determining module 601, before determining the efficient service provider and the inefficient service provider based on the service efficiencies of the different service providers, is further configured to:

the first determining module 601, when determining the efficient service provider and the inefficient service provider based on the service efficiencies of different service providers, is specifically configured to:

the second determining module 602, when determining the reference service policy based on the service policy of the efficient service provider, is specifically configured to:

the sending module 603, when sending the reference service policy to the inefficient service provider, is specifically configured to:

In one possible design, when determining the reference service policy based on the service policy of the efficient service provider, the second determining module 602 is specifically configured to:

In one possible design, the second determining module 602 is further configured to:

In a possible design, when obtaining the service efficiencies of different service providers, the first determining module 601 is specifically configured to:

The specific processing flow of each module may refer to the record of the method embodiment, and is not described herein again.

By the device provided by the embodiment, the low-efficiency service providing terminal can acquire the reference service strategy of the high-efficiency service providing terminal, the low-efficiency service providing terminal can conveniently and pertinently improve the service strategy, the service efficiency of the low-efficiency service providing terminal is effectively improved, the service efficiency difference of different service providing terminals is reduced, and the service resource ratio of the different service providing terminals is balanced.

EXAMPLE five

Based on the same technical concept, the embodiment of the application also provides the computer equipment. Referring to fig. 7, a schematic structural diagram of a computer device 700 provided in the embodiment of the present application includes a processor 705, a memory 702, and a bus 703. The memory 702 is used for storing execution instructions and includes a memory 7025 and an external memory 7022; the memory 7025 is also referred to as an internal memory, and is used to temporarily store operation data in the processor 705 and data exchanged with an external memory 7022 such as a hard disk, the processor 705 exchanges data with the external memory 7022 through the memory 7025, and when the computer device 700 is operated, the processor 705 communicates with the memory 702 through the bus 703, so that the processor 705 executes the following instructions:

acquiring service efficiencies of different service providing ends, and determining an efficient service providing end and an inefficient service providing end based on the service efficiencies of the different service providing ends;

and sending the reference service policy to the inefficient service provider.

The specific processing flow of the processor 605 may refer to the description of the above method embodiment, and is not described herein again.

Based on the same technical concept, embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, performs the steps of the service efficiency control method.

Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, and the like, and when a computer program on the storage medium is executed, the service efficiency control method can be executed, so as to improve the service efficiency of the inefficient service provider, reduce the service efficiency gap between different service providers, and balance the service resource allocation of different service parties.

Based on the same technical concept, embodiments of the present application further provide a computer program product, which includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the steps of the service efficiency control method, and specific implementation may refer to the above method embodiments, and will not be described herein again.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for controlling service efficiency, comprising:

obtaining a service policy of the efficient service provider, and determining a reference service policy based on the service policy of the efficient service provider, wherein the service policy includes at least one of the following policies: the method comprises the steps of starting service time each time, ending service time each time, starting a geographical position each time service is started, ending service geographical position each time service is ended, executing service orders of different service types, and executing a starting position and an ending position each time service order are executed in a preset historical time period;

sending the reference service policy to the inefficient service provider so that the inefficient service provider adjusts the service policy of the inefficient service provider according to the reference service policy;

before obtaining the service efficiency of different service providers, the method further comprises:

dividing different service providing ends into different service sets based on the service behavior characteristics corresponding to each service providing end so as to determine the service providing ends with similar service capabilities;

2. The method of claim 1, wherein the dividing different service providers into different service sets based on the service behavior characteristic corresponding to each service provider comprises:

3. The method of claim 1 or 2, wherein the service behavior characteristics comprise at least one of:

the service duration within a preset historical time period;

the time of the last service ending in the preset historical time period;

4. The method of claim 1, wherein the determining a reference service policy based on the service policy of the efficient service provider comprises:

5. The method of claim 1, wherein the determining a reference service policy based on the service policy of the efficient service provider comprises:

6. The method of claim 1, wherein the determining a reference service policy based on the service policy of the efficient service provider comprises:

7. The method of claim 1, wherein sending the reference service policy to the inefficient service provider comprises:

8. The method of claim 1, before obtaining service efficiencies of different service providers, further comprising:

9. The method of claim 1, wherein the obtaining service efficiencies of different service providers comprises:

10. A service efficiency control apparatus, comprising:

a second determining module, configured to obtain a service policy of the efficient service provider, and determine a reference service policy based on the service policy of the efficient service provider, where the service policy includes at least one of the following policies: the method comprises the steps of starting service time each time, ending service time each time, starting a geographical position each time service is started, ending service geographical position each time service is ended, executing service orders of different service types, and executing a starting position and an ending position each time service order are executed in a preset historical time period;

a sending module, configured to send the reference service policy to the inefficient service provider, so that the inefficient service provider adjusts the service policy of the inefficient service provider according to the reference service policy;

wherein, before determining the efficient service provider and the inefficient service provider based on the service efficiencies of the different service providers, the first determining module is further configured to:

the first determining module, when determining the efficient service provider and the inefficient service provider based on the service efficiencies of different service providers, is specifically configured to:

the second determining module, when determining the reference service policy based on the service policy of the efficient service provider, is specifically configured to:

the sending module, when sending the reference service policy to the inefficient service provider, is specifically configured to:

11. The apparatus of claim 10, wherein the first determining module, when dividing different service providers into different service sets based on the service behavior feature corresponding to each service provider, is specifically configured to:

12. The apparatus of claim 10 or 11, wherein the service behavior characteristics comprise at least one of:

the service duration within a preset historical time period;

the time of the last service ending in the preset historical time period;

13. The apparatus as claimed in claim 10, wherein the second determining module, when determining the reference service policy based on the service policy of the efficient service provider, is specifically configured to:

14. The apparatus as claimed in claim 10, wherein the second determining module, when determining the reference service policy based on the service policy of the efficient service provider, is specifically configured to:

15. The apparatus as claimed in claim 10, wherein the second determining module, when determining the reference service policy based on the service policy of the efficient service provider, is specifically configured to:

16. The apparatus as claimed in claim 10, wherein said sending module, when sending said reference service policy to said inefficient service provider, is specifically configured to:

17. The apparatus of claim 10, wherein the first determining module is further configured to:

18. The apparatus of claim 10, wherein the first determining module, when obtaining the service efficiencies of different service providers, is specifically configured to:

19. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the service efficiency control method according to any one of claims 1 to 9.

20. A computer-readable storage medium, having stored thereon a computer program for executing the steps of the service efficiency control method according to any one of claims 1 to 9 when the computer program is executed by a processor.