CN115374381A - Dynamic display method of server identification, electronic equipment and storage medium - Google Patents

Dynamic display method of server identification, electronic equipment and storage medium Download PDF

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CN115374381A
CN115374381A CN202211124430.5A CN202211124430A CN115374381A CN 115374381 A CN115374381 A CN 115374381A CN 202211124430 A CN202211124430 A CN 202211124430A CN 115374381 A CN115374381 A CN 115374381A
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陈晓宇
陈瑞
付宏雪
薄满辉
佟业新
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China Travelsky Mobile Technology Co Ltd
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Abstract

The invention provides a dynamic display method of a server identifier, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a first data information set of an event execution server; obtaining a first identification list according to the first ordering influence parameter; determining a second data information set according to a first data information set corresponding to the first target server identification; traversing second data information in the second data information set to obtain a target sorting influence parameter; and determining the display sequence of each first target server identifier according to the target sequencing influence parameters. According to the method and the system, the service providers are ranked through the offline data and the real-time data, the ranking of the offline data is adjusted through the real-time data, the ranking of the service providers is more accurate, the user can visually acquire the service quality of each service provider by checking the display sequence of the target server identification corresponding to the service provider on the taxi taking platform, and the user can conveniently select the service provider according to the difference of the service quality.

Description

Dynamic display method of server identification, electronic equipment and storage medium
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a dynamic display method for a server identifier, an electronic device, and a storage medium.
Background
When a user makes a taxi on a multi-data-source platform, a taxi-taking platform is aggregated with data sources of multiple service providers, the service providers provide taxi-taking services according to reservation orders and real-time orders, but different service providers have different holding amounts in different cities of motorcades, and the service quality of each service provider is different.
Based on this, it is an urgent technical problem to be solved that each service provider of the taxi taking platform only performs arrangement display according to the offline data, so that the service quality of the service provider is inaccurate to obtain.
Disclosure of Invention
Aiming at the technical problems, the technical scheme adopted by the invention is as follows:
a dynamic display method of server identification is applied to an event distribution server which is in communication connection with a plurality of event execution servers; each event execution server is provided with a corresponding server identifier; the event dispatching server is provided with a plurality of corresponding terminals;
a dynamic display method for server identification comprises the following steps:
s100, responding to the situation that when the set time point is reached, first data information of a plurality of event execution servers is obtained, and a first data information set Q = (Q) is obtained 1 ,...,Q i ,...,Q n ),Q i =(D 1i ,D 2i ) (ii) a Wherein i =1,2, ·, n; n is the number of event execution servers; q i First data information of a server is executed for the ith event; d 1i Executing server in first target time period T for ith event 1 =[t 1 ,t 0 ]Obtaining a first sequencing influence parameter from a corresponding first influence factor standard value list; d 2i Executing server in second target time period T for ith event 2 =[t 0 ,t now ]Obtaining a second sequencing influence parameter from the corresponding second influence factor standard value list; t is t 1 For a first set point in time, t 0 For a second set point in time, t now Is the current time; t is t 1 <t 0 <t now ;t 0 -t 1 >t now -t 0
S200, according to D 11 ,...,D 1i ,...,D 1n Sorting the n server identities to obtain a first list of identities L = (L) 1 ,...,L i ,...,L n );L 1 ,...,L i ,...,L n The corresponding first ordering impact parameter is decreased progressively; wherein L is i Identifying the ith server in the L;
s300, mixing L 1 ,...,L m ,...,L s The corresponding server identification is determined as a first target server identification; wherein L is m Identifying, for an mth first target server, m =1. s is less than or equal to n;
s400, according to L 1 ,...,L m ,...,L s Corresponding first set of data information, determining a second set of data information P = (P) 1 ,...,P m ,...,P s ),P m =(G 1m ,G 2m ) (ii) a Wherein, P m Is L m Second data information of the corresponding event execution server; g 1m Is L m A corresponding first ordering impact parameter; g 2m Is L m A corresponding second ordering impact parameter;
s500, traversing second data information of each event execution server in the P; if | G 1m -G 2m If | ≧ g > 0, executing step S600; otherwise, O m =G 1m To obtain O 1 ,...,O m ,...,O s (ii) a Wherein, O m Ordering the impact parameters for the mth target;
s600, if G 1m >G 2m Then go to step S610; otherwise, go to step S620;
s610, if G 1m -G 2m If j is less than j, let O m =G 1m -e; otherwise, let O m =G 1m -x;
S620, if G 2m -G 1m If j is less than j, let O m =G 1m + e; otherwise, let O m =G 1m + x; wherein x > e;
s700, according to O 1 ,...,O m ,...,O s And determining the display sequence of each first target server identifier, and controlling the terminal to display each first target server identifier in the display sequence.
The invention has at least the following beneficial effects:
the method comprises the steps of responding to a set time point, obtaining first data information corresponding to an event execution server corresponding to each service provider of a taxi taking platform, wherein the first data information comprises a first sequencing influence parameter and a second sequencing influence parameter, sequencing server identifications through the first sequencing influence parameter, determining a first target server identification and second data information, adjusting the first sequencing influence parameter of the first target server identification according to the numerical comparison of the second data information, and determining the display sequence of all the first target server identifications according to the adjusted first sequencing influence parameter. The method and the system solve the problem that the prior taxi taking platform only carries out sequencing display according to the off-line data, carry out comprehensive ranking on the service providers through the off-line data and the real-time data when a set time point is reached, and adjust the ranking of the off-line data through the real-time data, thereby ensuring that the real-time ranking of the service providers according to the service quality is more accurate, and a user can intuitively obtain the service quality of the service provider corresponding to each event execution server by checking the display sequence of the target server identification corresponding to the service provider on the taxi taking platform, so that the sequencing of the service providers is more accurate, and the user can conveniently select the service providers according to the difference of the service quality.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a connection block diagram of an event distribution server of the dynamic display method for server identifiers according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A dynamic display method of a server identifier is applied to a taxi taking platform, all service providers are ranked according to offline data and real-time data of the service quality of each service provider of the taxi taking platform, the service providers with the highest ranking are marked and displayed, the ranking of the service providers is adjusted through the real-time data for the displayed service providers, so that a user can obtain the comprehensive service quality of the corresponding service provider in the current time period by checking the dynamic ranking of the service provider on the taxi taking platform, and the user can conveniently select the service provider with the better service quality.
A dynamic display method of server identification is applied to an event distribution server, as shown in figure 1, the event distribution server is in communication connection with a plurality of event execution servers; the event dispatching server can be a server of a taxi-taking platform, the event execution server can be a server of a service provider, the service provider is a merchant of a service taxi, for example, a user needs taxi-taking service when going to an airport or leaving the airport in the process of voyage, and the merchant providing the service is the service provider; the event dispatching server is used for sending an event execution request of a target event to the event execution server; the target event can be a vehicle order dispatching event issued by the taxi taking platform, and the event execution request can be a vehicle order receiving request corresponding to the vehicle order dispatching event; the event execution server is used for determining whether to respond to the event execution request after receiving the event execution request, and executing a target event corresponding to the event execution request after determining to respond to the event execution request; each event execution server is provided with a corresponding server identifier; the event distribution server is provided with a plurality of corresponding terminals, the terminals can be input terminals of users, such as mobile terminals of mobile phones, tablets and the like, and the users input relevant information to the event distribution server through the terminals.
The user sends the vehicle using demand information to a vehicle taking platform (event dispatching server) through the terminal, the vehicle taking platform sends a vehicle using order dispatching event (target event) receiving request (event execution request) to each service provider (event execution server), and each service provider is provided with a corresponding service provider identifier (server identifier) for identifying the corresponding service provider. After receiving the order taking request, each service provider can choose to respond to the order taking request, namely, take the order for the vehicle, or choose not to respond to the order taking request, namely, abandon the order for the vehicle, and after one service provider chooses to respond to the order taking request, other service providers can not respond to the same order taking request again.
The dynamic display method of the server identifier comprises the following steps:
s100, responding to the situation that when the set time point is reached, first data information of a plurality of event execution servers is acquired, and obtaining a first data information set Q = (Q) 1 ,...,Q i ,...,Q n ),Q i =(D 1i ,D 2i ) (ii) a Wherein i =1,2,. Cndot.n; n is the number of event execution servers; q i First data information of a server is executed for the ith event; d 1i Executing server in first target time period T for ith event 1 =[t 1 ,t 0 ]Obtaining a first sequencing influence parameter from a corresponding first influence factor standard value list; d 2i Executing server in second target time period T for ith event 2 =[t 0 ,t now ]Obtaining a second ordering influence parameter from the corresponding second influence factor standard value list; t is t 1 For a first set point in time, t 0 For a second set point in time, t now Is the current time; t is t 1 <t 0 <t now ;t 0 -t 1 >t now -t 0
The set time point may be a set data acquisition time point for response, that is, first data information of each event execution server is acquired each time the set time point is reached. First target period of time T 1 Is t 1 Time t 0 Time period of time, second target time period T 2 Is t 0 Time t now Time period of time, and t 0 -t 1 >t now -t 0 I.e. the first target period of time T 1 Than the second target period T 2 The time period of (a) is long, such as: first target period of time T 1 May be one week, the second target period of time T 2 May be one hour, so, in the first target period of time T 1 Internally obtained D 1i May be expressed as offline data, i.e., historical data, corresponding to the event execution server, and the second target time period T for acquiring data information of the event execution server in the past week 2 Internally obtained D 2i May be expressed as real-time data corresponding to the event execution server in order to acquire data information of the event execution server within the past hour. And the time interval for acquiring the first data information can also be set, for example, D in the past week is acquired every other day 1i Every other hour, D in the past hour is acquired 2i Guarantee D 2i And executing the corresponding real-time data of the server for the event.
The first ordering impact parameter and the second ordering impact parameter are the basis of server identifier ordering, and can be respectively expressed as a service quality score corresponding to offline data and a service quality score corresponding to real-time data, and ordering adjustment is performed on each server identifier through the service quality scores of the offline data and the real-time data, wherein the offline data is in the first target time period T 1 History data of the event execution server obtained in the database.
S200, according to D 11 ,...,D 1i ,...,D 1n For n server identitiesSorting to obtain a first list of identifications L = (L) 1 ,...,L i ,...,L n );L 1 ,...,L i ,...,L n The corresponding first ordering impact parameter is decreased progressively; wherein L is i Identifying the ith server in the L;
the first identification list is obtained by arranging each event execution server according to the first ordering influence parameter, arranging the server identifications from large to small through the first ordering influence parameter, and marking the arranged server identifications from 1 to n to obtain corresponding L i I.e. L 1 The server identifiers are the first server identifiers after the first ordering influence parameters are arranged from large to small, and the server identifiers with the largest first ordering influence parameters in all the server identifiers are also the first ordering influence parameters in the first identifier list L, for example, the corresponding first ordering influence parameters can be 90, 80 and 70 \823010in sequence.
S300, mixing L 1 ,...,L m ,...,L s The corresponding server identification is determined as a first target server identification; wherein L is m Identifying, for an mth first target server, m =1. s is less than or equal to n;
s is any number from 1 to n, the first s server identifications after being subjected to size arrangement according to the first ordering influence parameter are determined as first target server identifications, and if n =10,s =5, the first 5 server identifications in the first identification list L are determined as the first target server identifications.
S400, according to L 1 ,...,L m ,...,L s Corresponding first set of data information, determining a second set of data information P = (P) 1 ,...,P m ,...,P s ),P m =(G 1m ,G 2m ) (ii) a Wherein, P m Is L m Second data information of the corresponding event execution server; g 1m Is L m A corresponding first ordering impact parameter; g 2m Is L m A corresponding second ordering impact parameter;
G 1m and G 2m A first ordering impact parameter and a second ordering impact parameter corresponding to the server identification after size arrangement according to the first ordering impact parameterIf n =10,s =5, that is, there are 10 server ids for sorting, the first sorting influence parameter of the 10 server ids is sequentially 80, 10, 70, 90, 50, 40, 60, 20, 30, and 95, the second sorting influence parameter is sequentially 90, 20, 60, 80, 65, 40, 50, 35, 30, and 85, after step S200, the 10 server ids are sorted according to the first sorting influence parameter, and the top 5 server ids are determined as the first target server id, and then the top 5 corresponding G ids are determined as the first target server id 1m 95, 90, 80, 70, 60, corresponding to G 2m 85, 80, 90, 60 and 50 in sequence.
S500, traversing second data information of each event execution server in the P; if | G 1m -G 2m If | ≧ g > 0, executing step S600; otherwise, O m =G 1m To obtain O 1 ,...,O m ,...,O s (ii) a Wherein, O m Ordering the impact parameters for the mth target;
g is a preset threshold value larger than zero, and is a basis for judging whether the second sorting influence parameter influences the first sorting influence parameter.
S600, if G 1m >G 2m Then go to step S610; otherwise, go to step S620;
s610, if G 1m -G 2m If j is less than j, let O m =G 1m -e; otherwise, let O m =G 1m -x;
S620, if G 2m -G 1m If j is less than j, let O m =G 1m + e; otherwise, let O m =G 1m + x; wherein x > e;
for example, g =10,j =5,x =6,e =3,g 1m 95, 90, 80, 70, 60 in sequence, corresponding to G 2m And 85, 80, 90, 60 and 50 in turn, the target ordering impact parameters of the corresponding event execution servers are 89, 84, 86, 64 and 54 in turn.
S700, according to O 1 ,...,O m ,...,O s Determining the display sequence of each first target server identification, and controlling the terminal to display each first target server identification in the display sequence。
And sequencing each event execution server from big to small again according to the target sequencing influence parameter of each event execution server to determine the display sequence of each first target server identifier.
The above is a first embodiment of the present invention, according to G alone 1m And G 2m The difference value of the target sequence is used for determining the target sequence influence parameter, in the embodiment, only one factor is used as a judgment standard, and the step G is 1m And G 2m When the difference value changes less or the change frequency is lower, the determined target sorting influence parameter is not accurate, so that the second embodiment of the invention is provided, and a judgment factor of the target sorting influence parameter is added on the basis of the first embodiment to ensure the accuracy of the obtained target sorting influence parameter.
The second embodiment of the present invention is to comprehensively determine the target sorting impact parameter by the sorting order and the sorting impact parameter difference. In the second embodiment, in step S400 of the first embodiment, the method further includes:
s410, according to D 21 ,...,D 2m ,...,D 2s Sorting the first target server identifiers to obtain a fourth identifier list V = (V) 1 ,...,V m ,...,V s ) (ii) a Wherein, V m Identifying the mth server in the V;
in the second embodiment, step S610 in the first embodiment is replaced with:
s630, if G 1m -G 2m If j is less than m, the order of the first identifier corresponding to the m-th event execution server is less than the order of the fourth identifier corresponding to the m-th event execution server, then let O m =G 1m -e; otherwise, let O m =G 1m -x;
In the second embodiment, step S620 in the first embodiment is replaced with:
s640, if G 2m -G 1m If j is less than j, and the order of the first identifier corresponding to the mth event execution server is greater than the order of the fourth identifier corresponding to the mth event execution server, let O m =G 1m +e(ii) a Otherwise, let O m =G 1m + x; wherein x > e
Second embodiment, by G 2m And G 1m The first ordering influence parameter is adjusted according to the difference between the order obtained according to the second ordering influence parameter and the order obtained according to the first ordering influence parameter, the judgment standard of the order is increased in the second embodiment, and the accuracy of the target ordering influence parameter obtained in the first embodiment can be improved.
On the basis of the first embodiment of the present invention, a third embodiment of the present invention is proposed, where steps S100 to S700 of the third embodiment are the same as those of the first embodiment, but after step S700 of the first embodiment, the method for dynamically displaying the server identifier further includes:
s710 according to L s+1 ,...,L c ,...,L n Corresponding first set of data information, determining a third set of data information U = (U) s+1 ,...,U c ,...,U n ),U c =(E 1c ,E 2c ) (ii) a Wherein c = s + 1.. N; u shape c Is L c Third data information of the corresponding event execution server; e 1c Is L c A corresponding first ordering impact parameter; e 2c Is L c A corresponding second ordering impact parameter;
E 1c and E 2c Are each L s And then the corresponding first ordering influence parameter and second ordering influence parameter of each server identification.
S720, obtaining a sorting influence parameter difference value set K = (K) s+1 ,...,K c ,...,K n ),K c =E 2c -E 1c (ii) a Wherein, K c Is L c The sorting influence parameter difference value corresponding to the corresponding server identifier;
difference of sequence influencing parameters is L c And if the second ordering impact parameter is 85 and the first ordering impact parameter is 95, the corresponding ordering impact parameter difference is 10.
S730, determining the server identifier corresponding to the MAX (K) as a second target server identifier; wherein, MAX () is a preset maximum value determining function;
the second target server identifier is the server identifier with the largest difference of the ordering influence parameters, and the second target server identifier indicates that the difference of the second ordering influence parameters obtained by the real-time data and the first ordering influence parameters obtained by the offline data is the largest, namely indicates that the corresponding event execution server has the largest difference in the second target time period T 2 The largest the rise in inner, i.e. the greater the corresponding quality of service improvement.
S740, the control terminal displays the second target server identification after all the first target server identifications, namely after all the first target server identifications, and displays the second target server identification in a second target time period T 2 The server identification with the maximum service quality improvement is displayed at the last position of all the displayed server identifications, so that the server identification with the maximum service quality improvement also has an opportunity to be displayed, and the server identification plays an incentive role for a service provider while being convenient for a user to check.
Further, on the basis of the third embodiment, a fourth embodiment of the present invention is proposed:
in the fourth embodiment, step S740 in the third embodiment is replaced with the following step:
s750, if MAX (K) > alpha, the control terminal will MIN (O) 1 ,...,O m ,...,O s ) Replacing the corresponding first target server identifier with a second target server identifier; where MIN () is a preset minimum determination function.
In a fourth embodiment, a threshold α is set, and when the maximum difference between the ranking-affecting parameters is greater than α, the second target server identifier replaces the last displayed first target server identifier. The third embodiment is to add and display the second target server identifier after all the first target server identifiers, while the fourth embodiment is to replace the last first target server identifier with the second target server identifier, the third embodiment is used in the case of no limitation on the display number, and the fourth embodiment is used in the case of a limitation requirement on the display number, so as to facilitate the incentive of each service provider, and enable each service provider to have the opportunity of display.
In four embodiments of the present invention, the first ordering impact parameter is determined by:
s110, obtaining a first influence factor standard value list B corresponding to each event execution server 1 ,...,B i ,...,B n ,B i =(BJ i ,BW i ,BF i ) (ii) a Wherein, B i A list of first impact factor criteria, BJ, corresponding to the server for the ith event execution i First impact factor criterion value BW of the server is executed for the ith event i Second impact factor criterion value, BF, of the server for the ith event execution i Executing a third impact factor criterion value of the server for the ith event;
s120, according to B 1 ,...,B i ,...,B n Determining a first ordering impact parameter D for each event execution server 11 ,...,D 1i ,...,D 1n ,D 1i =(BJ i *CJ)+(BW i *CW)+(BF i * CF); wherein CJ is BJ i Corresponding weight coefficient, CW is BW i Corresponding weight coefficient, CF is BF i A corresponding weight coefficient; CJ + CW + CF =1.
Each influence factor parameter corresponds to a weight coefficient, the weight coefficient is fixed initially and can be specified by an event distribution server, and the weight coefficients corresponding to all the influence factor parameters are normalized, so that the operation speed is improved, and the calculation error is reduced. After the standard value of the influence factor parameter of each event execution server is determined, weighting processing is carried out on the standard value of each influence factor and the corresponding weight coefficient of each influence factor, then the weighted processing of each influence factor parameter of the same event execution server is added to obtain the sequencing influence parameter of each event execution server, the sequencing influence parameter is the parameter for determining the sequencing of the server identifier, and the server identifier is sequenced according to the size of the sequencing influence parameter.
Wherein, each event execution server corresponds to the first impact factor standard value list B 1 ,...,B i ,...,B n Determined by the following method:
s111, obtaining a target influence factor parameter list A corresponding to each event execution server 1 ,...,A i ,...,A n ,A i =(J i ,W i ,F i ) (ii) a Wherein, A i A target influence factor parameter list corresponding to the ith event execution server; j. the design is a square i =N i1 /N i2 ;J i First influencing factor parameter of server for ith event execution, N i1 Number of event execution requests to which the server responds for the ith event execution, N i2 The number of event execution requests received for the ith event execution server; w i =N i3 /N i1 ;W i Second influencing factor parameter of the executive server for the ith event, N i3 The number of target events normally completed by the ith event execution server; f i =(∑ Ni4 k=1 P ik )/N i4 ;N i4 ≤N i3 ;F i Executing a third impact factor parameter of the server for the ith event; p ik Evaluating the user impact parameter received by the server for the kth event execution server, N i4 The number of evaluation events corresponding to the ith event execution server; the evaluation event is a target event which is normally finished and receives user influence parameters input by a corresponding user;
the target influence factor parameter list is a list of influence factor parameters of the corresponding event execution server, specifically, the number of the influence factor parameters may be multiple, as shown in the present invention, three influence factor parameters of each event execution server are J, W, and F, which are respectively a first influence factor parameter, a second influence factor parameter, and a third influence factor parameter, the influence factor parameters are bases for determining a display order of the server identifier of the corresponding event execution server, and the display order of the corresponding server identifier is determined by the three influence factor parameters.
The first influence factor parameter is a ratio of the number of event execution requests responded by the corresponding event execution server to the number of received event execution requests, specifically, the number of event execution requests responded by the event execution server may be the number of order receiving requests received by the corresponding service provider, and the number of event execution requests received by the event execution server may be the number of order receiving requests received by the corresponding service provider. Therefore, the first influence factor parameter may be expressed as an order taking rate of the corresponding service provider, that is, an order receiving rate, and a higher order taking rate indicates a higher work efficiency of the corresponding service provider.
The second influence factor parameter is a ratio of the number of the target events normally completed by the corresponding event execution server to the number of the event execution requests responded to, specifically, the number of the target events normally completed by the event execution server may be a number of the events normally completed by the service provider in dispatching the order for the passenger to the destination to complete the order, and the second influence factor parameter is obtained by a ratio of the number of completed orders to the number of accepted orders. Therefore, the second influence factor parameter can be expressed as the order completion rate of the corresponding service provider, i.e. the order completion rate, and the higher the order completion rate is, the better the order completion condition of the corresponding service provider is expressed.
The third influence factor parameter is a mean value of user influence parameters received by all evaluation events of the corresponding event execution server, specifically, the evaluation event may be an event in which the user scores and evaluates the service providers, the user influence parameter may be a score of the user scoring the service providers, and the score of all user scores received by each service provider is averaged, that is, the third influence factor parameter may be represented. Therefore, the third influence factor parameter can be expressed as an average evaluation score of the corresponding service provider, and the higher the average evaluation score is, the better the service of the corresponding service provider is, and the more the user is well-rated.
S112, sequentially taking J, W and F as a target list H, and respectively performing standard value determination processing to obtain a first influence factor standard value list B corresponding to each event execution server 1 ,...,B i ,...,B n (ii) a Wherein, H = (H) 1 ,...,H i ,...,H n ),H i Is the ith target parameter in H, H i Is J i ,W i ,F i Any one of them; j = (J) 1 ,...,J i ,...,J n ) J is a first list of influencing factor parameters; w = (W) 1 ,...,W i ,...,W n ) W is a second influence factor parameter list; f = (F) 1 ,...,F i ,...,F n ) And F is a third list of influencing factor parameters.
In step S112, the standard value determination process includes the steps of:
according to H 1 ,...,H i ,...,H n Sorting the n server identities to obtain a third list of identities R = (R) 1 ,...,R i ,...,R n );R 1 ,...,R i ,...,R n The corresponding target parameter is decreased progressively; wherein R is i Is the ith third mark in R;
if H = J, then R i The following treatments were carried out:
if i is less than or equal to z, then use Y i To R i Assigning the corresponding first influence factor parameters; if i > z, then with Y 0 To R i Assigning the corresponding first influence factor parameter;
if H = W, then R i The following treatments were carried out:
if i is less than or equal to z, then use Y i To R i Assigning the corresponding second influence factor parameter; if i > z, then with Y 0 To R i Assigning the corresponding second influence factor parameter;
if H = F, then for R i The following treatments were carried out:
if i is less than or equal to z, then use Y i To R i Assigning a corresponding third influence factor parameter; if i > z, then with Y 0 To R i Assigning a corresponding third influence factor parameter;
wherein, Y 1 >Y 2 >...>Y z >Y 0 ,s≤z≤n。
And the standard value determining and processing step comprises the steps of firstly sequencing all the server identifications from large to small by using the same influence factor parameter, marking the server identifications by using the first identification from the first sequenced server identification, and then assigning the influence factor parameter of each event execution server according to the sequence of the first identification to obtain the influence factor standard value corresponding to each event execution server.
If the standard value determination processing is performed on the first influence factor parameter: when n =5, the five server identifiers are sorted from large to small by the first influence factor parameter, for example, the first influence factor parameter of the first server identifier is 0.8, the first influence factor parameter of the second server identifier is 0.5, the first influence factor parameter of the third server identifier is 0.9, the first influence factor parameter of the fourth server identifier is 0.4, and the first influence factor parameter of the fifth server identifier is 0.7. Therefore, after the size sorting, the sequence of the five server identifiers is as follows: a third server identification, a first server identification, a fifth server identification, a second server identification and a fourth server identification, wherein the corresponding first identification is G 1 ,G 2 ,G 3 ,G 4 ,G 5 And then assigning values to the first impact factor parameters of the five server identifiers again according to the sequence of the first identifiers, wherein if d =3, the assignment of the first impact factors of the first three server identifiers after sorting is sequentially reduced, the assignment of the first impact factor parameters of the second two server identifiers is equal, and the assignment is minimum, that is, the first impact factor parameter of the third server identifier can be assigned to 10, the first impact factor parameter of the first server identifier is assigned to 9, the first impact factor parameter of the fifth server identifier is assigned to 8, and the first impact factor parameters of the second server identifier and the fourth server identifier are both assigned to 1.
The standard value determination processing for the second influence factor parameter and the third influence factor parameter is the same as the standard value determination processing method for the first influence factor parameter, and is not repeated here.
The above-mentioned steps of the method for determining the first ordering impact parameter, and the method for determining the second ordering impact parameter are the same as the method for determining the first ordering impact parameter, and are not repeated herein.
The method comprises the steps of responding to a set time point, obtaining first data information corresponding to an event execution server corresponding to each service provider of a taxi taking platform, wherein the first data information comprises a first sequencing influence parameter and a second sequencing influence parameter, sequencing server identifications through the first sequencing influence parameter, determining a first target server identification and second data information, adjusting the first sequencing influence parameter of the first target server identification according to the numerical comparison of the second data information, and determining the display sequence of all the first target server identifications according to the adjusted first sequencing influence parameter. The invention solves the problem that the prior taxi taking platform only carries out sequencing display according to the off-line data, carries out comprehensive ranking on the service providers through the off-line data and the real-time data, and adjusts the ranking of the off-line data through the real-time data, so that a user can visually obtain the service quality of the service provider corresponding to each event execution server by checking the display sequence of the target server identification corresponding to the service provider on the taxi taking platform, the sequencing of the service provider is more accurate, and the user can conveniently select the service provider according to the difference of the service quality.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium, which may be disposed in an electronic device to store at least one instruction or at least one program for implementing a method of the method embodiments, where the at least one instruction or the at least one program is loaded into and executed by a processor to implement the method provided by the above embodiments.
Embodiments of the present invention also provide an electronic device comprising a processor and the aforementioned non-transitory computer-readable storage medium.
Embodiments of the present invention also provide a computer program product comprising program code means for causing an electronic device to carry out the steps of the method according to various exemplary embodiments of the invention described above in the present description, when said program product is run on the electronic device.
Although some specific embodiments of the present invention have been described in detail by way of illustration, it should be understood by those skilled in the art that the above illustration is only for the purpose of illustration and is not intended to limit the scope of the invention. It will also be appreciated by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.

Claims (10)

1. A dynamic display method of server identification is characterized in that the method is applied to an event distribution server, and the event distribution server is in communication connection with a plurality of event execution servers; each event execution server is provided with a corresponding server identifier; the event distribution server is provided with a plurality of corresponding terminals;
the method comprises the following steps:
s100, responding to the situation that when the set time point is reached, first data information of a plurality of event execution servers is obtained, and obtaining a first data information set Q = (Q) 1 ,...,Q i ,...,Q n ),Q i =(D 1i ,D 2i ) (ii) a Wherein i =1,2, ·, n; n is the number of the event execution servers; q i First data information of a server is executed for the ith event; d 1i Executing server in first target time period T for ith event 1 =[t 1 ,t 0 ]Obtaining a first sequencing influence parameter from a corresponding first influence factor standard value list; d 2i Executing server in second target time period T for ith event 2 =[t 0 ,t now ]Obtaining a second sequencing influence parameter from the corresponding second influence factor standard value list; t is t 1 For a first set point in time, t 0 For a second set point in time, t now Is the current time; t is t 1 <t 0 <t now ;t 0 -t 1 >t now -t 0
S200, according to D 11 ,...,D 1i ,...,D 1n Sorting the n server identities to obtain a first list of identities L = (L) 1 ,...,L i ,...,L n );L 1 ,...,L i ,...,L n Corresponding first order influence parameterSubtracting; wherein L is i Identifying the ith server in the L;
s300, mixing L 1 ,...,L m ,...,L s The corresponding server identification is determined as a first target server identification; wherein L is m Identifying, for an mth first target server, m =1. s is less than or equal to n;
s400, according to L 1 ,...,L m ,...,L s Corresponding first set of data information, determining a second set of data information P = (P) 1 ,...,P m ,...,P s ),P m =(G 1m ,G 2m ) (ii) a Wherein, P m Is L m Second data information of the corresponding event execution server; g 1m Is L m A corresponding first ordering impact parameter; g 2m Is L m A corresponding second ordering impact parameter;
s500, traversing second data information of each event execution server in the P; if G 1m -G 2m If | > g > 0, executing step S600; otherwise, O m =G 1m To obtain O 1 ,...,O m ,...,O s (ii) a Wherein, O m Ordering the impact parameters for the mth target;
s600, if G 1m >G 2m Then go to step S610; otherwise, go to step S620;
s610, if G 1m -G 2m If j is less than j, let O m =G 1m -e; otherwise, let O m =G 1m -x;
S620, if G 2m -G 1m If j is less than j, let O m =G 1m + e; otherwise, let O m =G 1m + x; wherein x > e;
s700, according to O 1 ,...,O m ,...,O s And determining the display sequence of each first target server identifier, and controlling the terminal to display each first target server identifier in the display sequence.
2. The method of claim 1, wherein after the step S700, the method further comprises:
s710 according to L s+1 ,...,L c ,...,L n Corresponding to the first set of data information, determining a third set of data information U = (U) s+1 ,...,U c ,...,U n ),U c =(E 1c ,E 2c ) (ii) a Wherein c = s + 1.. N; u shape c Is L c Third data information of the corresponding event execution server; e 1c Is L c A corresponding first ordering impact parameter; e 2c Is L c A corresponding second ordering impact parameter;
s720, obtaining a sorting influence parameter difference value set K = (K) s+1 ,...,K c ,...,K n ),K c =E 2c -E 1c (ii) a Wherein, K c Is L c The sorting influence parameter difference value corresponding to the corresponding server identifier;
s730, determining the server identifier corresponding to the MAX (K) as a second target server identifier; wherein, MAX () is a preset maximum value determining function;
and S740, controlling the terminal to display the second target server identification behind all the first target server identifications.
3. The method according to claim 2, characterized by replacing the step S740 with the following steps:
s750, if MAX (K) > alpha, controlling the terminal to convert MIN (O) 1 ,...,O m ,...,O s ) Replacing the corresponding first target server identifier with a second target server identifier; wherein alpha is a preset threshold value; MIN () is a preset minimum determination function.
4. The method of claim 1, wherein the first ordering impact parameter is determined by:
s110, obtaining a first influence factor standard value list B corresponding to each event execution server 1 ,...,B i ,...,B n ,B i =(BJ i ,BW i ,BF i ) (ii) a Wherein, B i Is as followsList of first impact factor criteria, BJ, corresponding to i event execution servers i A first impact factor criterion value, BW, of the server is performed for the ith event i Second impact factor criterion value, BF, of the server for the ith event execution i Executing a third impact factor criterion value of the server for the ith event;
s120, according to B 1 ,...,B i ,...,B n Determining a first ordering impact parameter D for each of said event execution servers 11 ,...,D 1i ,...,D 1n ,D 1i =(BJ i *CJ)+(BW i *CW)+(BF i * CF); wherein CJ is BJ i Corresponding weight coefficient, CW is BW i Corresponding weight coefficient, CF being BF i The corresponding weight coefficients.
5. The method according to claim 4, wherein the event dispatch server is configured to send an event execution request of a target event to the event execution server; the event execution server is used for determining whether to respond to the event execution request after receiving the event execution request, and executing a target event corresponding to the event execution request after determining to respond to the event execution request; a first impact factor standard value list B corresponding to each event execution server 1 ,...,B i ,...,B n Determined by the following method:
s111, obtaining a target influence factor parameter list A corresponding to each event execution server 1 ,...,A i ,...,A n ,A i =(J i ,W i ,F i ) (ii) a Wherein A is i A target influence factor parameter list corresponding to the ith event execution server; j. the design is a square i =N i1 /N i2 ;J i First influencing factor parameter of server for ith event execution, N i1 Number of event execution requests, N, to which the server responds for the ith event execution i2 The number of event execution requests received for the ith event execution server; w i =N i3 /N i1 ;W i Second influencing factor parameter of the executive server for the ith event, N i3 Normally completing the number of the target events for the ith event execution server; f i =(∑ Ni4 k=1 P ik )/N i4 ;N i4 ≤N i3 ;F i Executing a third impact factor parameter of the server for the ith event; p ik Evaluating the user impact parameter received by the server for the kth event execution server, N i4 The number of evaluation events corresponding to the ith event execution server; the evaluation event is a target event which is normally finished and receives user influence parameters input by a corresponding user;
s112, sequentially taking J, W and F as a target list H, and respectively performing standard value determination processing to obtain a first influence factor standard value list B corresponding to each event execution server 1 ,...,B i ,...,B n (ii) a Wherein, H = (H) 1 ,...,H i ,...,H n ),H i Is the ith target parameter in H, H i Is J i ,W i ,F i Any one of them; j = (J) 1 ,...,J i ,...,J n ) J is a first list of influencing factor parameters; w = (W) 1 ,...,W i ,...,W n ) W is a second influence factor parameter list; f = (F) 1 ,...,F i ,...,F n ) And F is a third list of influencing factor parameters.
6. The method according to claim 5, wherein the standard value determination process comprises the steps of:
according to H 1 ,...,H i ,...,H n Sorting the n server identities to obtain a third list of identities R = (R) 1 ,...,R i ,...,R n );R 1 ,...,R i ,...,R n The corresponding target parameter is decreased progressively; wherein R is i Is the ith third identifier in the R;
if H = J, then R i The following treatments were carried out:
if i is less than or equal to z, then use Y i To R i Assigning the corresponding first influence factor parameter; if i > z, then with Y 0 To R is i Assigning the corresponding first influence factor parameter;
if H = W, then for R i The following treatments were carried out:
if i is less than or equal to z, then use Y i To R i Assigning the corresponding second influence factor parameter; if i > z, then with Y 0 To R i Assigning the corresponding second influence factor parameter;
if H = F, then R i The following treatments were carried out:
if i is less than or equal to z, then use Y i To R is i Assigning a corresponding third influence factor parameter; if i > z, then with Y 0 To R is i Assigning a corresponding third influence factor parameter;
wherein, Y 1 >Y 2 >...>Y z >Y 0 ,s≤z≤n。
7. The method according to claim 1, wherein the step S400 further comprises:
s410, according to D 21 ,...,D 2m ,...,D 2s Sorting a number of the first target server identifiers to obtain a fourth identifier list V = (V) 1 ,...,V m ,...,V s ) (ii) a Wherein, V m Identifying the mth server in the V;
replacing the step S610 with:
s630, if G 1m -G 2m If j is less than m, the order of the first identifier corresponding to the m-th event execution server is less than the order of the fourth identifier corresponding to the m-th event execution server, then let O m =G 1m -e; otherwise, let O m =G 1m -x;
Replacing the step S620 with:
s640, if G 2m -G 1m If j is less than j, and the order of the first identifier corresponding to the mth event execution server is greater than the order of the fourth identifier corresponding to the mth event execution server, let O m =G 1m + e; otherwise, then orderO m =G 1m + x; wherein x > e.
8. The method of claim 4, wherein CJ + CW + CF =1.
9. A non-transitory computer readable storage medium having stored therein at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by a processor to implement the method of any one of claims 1-8.
10. An electronic device comprising a processor and the non-transitory computer readable storage medium of claim 9.
CN202211124430.5A 2022-09-15 2022-09-15 Dynamic display method of server identification, electronic equipment and storage medium Active CN115374381B (en)

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