CN111858847A - Order processing method and device, electronic equipment and readable storage medium - Google Patents

Order processing method and device, electronic equipment and readable storage medium Download PDF

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CN111858847A
CN111858847A CN202010427413.3A CN202010427413A CN111858847A CN 111858847 A CN111858847 A CN 111858847A CN 202010427413 A CN202010427413 A CN 202010427413A CN 111858847 A CN111858847 A CN 111858847A
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马凯
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Beijing Didi Infinity Technology and Development Co Ltd
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Abstract

The application provides an order processing method, an order processing device, electronic equipment and a readable storage medium, wherein the method comprises the following steps: the method comprises the following steps: determining historical attribute information of a service requester corresponding to each candidate service order to be distributed; matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider; assigning at least one candidate service order matching the target service provider to the target service provider. According to the method and the device, the historical attribute information of the service requester is matched with the service style of the target service provider, so that the matching degree of the service requester and the target service provider is improved, the service style of the target service provider can better meet the service requirement of the service requester, and the success rate of orders is improved.

Description

Order processing method and device, electronic equipment and readable storage medium
Technical Field
The present application relates to the field of information technologies, and in particular, to an order processing method and apparatus, an electronic device, and a readable storage medium.
Background
Along with the development of sharing economy, the development of taxi, special car, windward vehicle, express bus and other network car appointments is more and more rapid, and the appearance of the network car appointments changes the car calling mode which is used by people, so that the travel of people is more convenient.
The passengers can make direct reservations on the internet, the internet car booking platform distributes orders to the internet car booking drivers, and the passengers are transported to the destination from the designated places after the orders are received by the internet car booking drivers.
However, when the current network car booking platform allocates the order, the service requirement of the passenger on the network car booking driver in the order journey is usually not considered, and the order is randomly allocated to the network car booking driver, so that the matching degree of the passenger and the network car booking driver is not high, and the success rate of the order is influenced.
Disclosure of Invention
In view of the above, an object of the present application is to provide an order processing method, an order processing apparatus, an electronic device, and a readable storage medium, so as to improve matching between a service requester and a target service provider and improve success rate of an order.
In a first aspect, an embodiment of the present application provides an order processing method, including:
determining historical attribute information of a service requester corresponding to each candidate service order to be distributed;
matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider;
Assigning at least one candidate service order matching the target service provider to the target service provider.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, where the historical attribute information includes frequent residences; the service style comprises a language category;
the matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider comprises:
and matching candidate service orders corresponding to the service requesters with similar language types for the target service provider according to the language types corresponding to the frequently-living places of the service requesters and the language types of the target service provider.
With reference to the first aspect, an embodiment of the present application provides a second possible implementation manner of the first aspect, where the historical attribute information includes a vocabulary usage type; the service style comprises a vocabulary use type; matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider, wherein the matching comprises the following steps:
Matching candidate service orders corresponding to the service requesters with the same vocabulary use types for the target service provider according to the vocabulary use types of the service requesters and the vocabulary use types of the target service provider; the vocabulary use type of the service requester is determined according to the first voice information used when the service requester performs language communication.
With reference to the second possible implementation manner of the first aspect, this application example provides a third possible implementation manner of the first aspect, where the vocabulary usage type of the target service provider is determined according to the following steps:
determining the use condition of a preset vocabulary in second voice information according to the second voice information used by a target service provider during language communication;
and determining the vocabulary use type of the target service provider according to the use condition of the preset vocabulary in the second voice information.
With reference to the third possible implementation manner of the first aspect, an embodiment of the present application provides a fourth possible implementation manner of the first aspect, where the determining, according to a usage situation of a preset vocabulary in the second speech information, a vocabulary usage type of the target service provider includes:
Screening out target second voice information with preset sensitive words from the second voice information;
determining the proportion of the target second voice information in the second voice information according to the quantity of the second voice information and the quantity of the target second voice information;
and determining the vocabulary use type of the target service provider according to the proportion of the target second voice information in the second voice information.
With reference to the first aspect, an embodiment of the present application provides a fifth possible implementation manner of the first aspect, where the historical attribute information includes any one or more of the following: age, occupation, gender, and school calendar; the service style comprises a topic area of excellence;
the matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider comprises:
determining the interest topic field of the service requester according to the historical attribute information of the service requester;
and matching candidate service orders corresponding to the service requesters with the same topic field for the target service provider according to the interest topic field of the service requester and the adept topic field of the target service provider.
With reference to the first aspect, embodiments of the present application provide a sixth possible implementation manner of the first aspect, where the historical attribute information includes a physical health condition; the service style comprises a driving stability degree;
the matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider comprises:
matching the candidate service orders corresponding to the service requesters with good physical health conditions for the target service provider with good driving stability according to the physical health conditions of the service requesters and the driving stability of the target service provider; the driving stability degree is determined according to the action information of the target service provider in the process of executing the historical service order.
In a second aspect, an embodiment of the present application further provides an order processing apparatus, including:
the first determining module is used for determining the historical attribute information of the service requester corresponding to each candidate service order to be distributed;
the matching module is used for matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider;
An allocation module to allocate at least one candidate service order matched to the target service provider.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the first aspect described above, or any possible implementation of the first aspect.
In a fourth aspect, this application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps in the first aspect or any one of the possible implementation manners of the first aspect.
The order processing method provided by the embodiment of the application comprises the steps of firstly determining historical attribute information of a service request party corresponding to each candidate service order to be distributed; then, according to the historical attribute information of the service requester and the service style of the target service provider, matching at least one candidate service order for the target service provider; and finally, distributing at least one candidate service order matched with the target service provider to the target service provider. According to the method and the device, the historical attribute information of the service requester is matched with the service style of the target service provider, the candidate service orders corresponding to the service requester matched with the target service provider are distributed to the target service provider, the matching degree of the service requester and the target service provider is improved, the service requirements of the service requester on the target service provider are considered, the service style of the target service provider can meet the service requirements of the service requester, and the success rate of the orders is improved.
According to the order processing method provided by the embodiment of the application, the candidate service orders corresponding to the service requesters with similar language types are matched for the target service provider, so that the matching degree of the target service provider and the service requesters in the aspect of language communication is improved, the barrier of language communication between the target service provider and the service requesters can be reduced to a certain extent, and the success rate of the orders is improved.
According to the order processing method provided by the embodiment of the application, when the target service provider is matched with the candidate service orders corresponding to the service requesters with the same vocabulary use types, the target service provider and the service requesters are matched with each other in terms of the vocabulary use types, the matching degree of the target service provider and the service requesters in terms of language communication is improved, the willingness of communication between the target service provider and the service requesters can be enhanced to a certain extent, and therefore the success rate of the orders is improved.
According to the order processing method provided by the embodiment of the application, the candidate service orders corresponding to the service requesters in the same topic field are matched for the target service provider, so that the matching degree of the service requesters and the target service provider in the aspect of language communication is improved, the willingness of communication between the service requesters and the target service provider can be enhanced to a certain extent, and the success rate of the orders is improved.
According to the order processing method provided by the embodiment of the application, the candidate service orders corresponding to the service requesters with good physical health condition are matched for the target service provider with good driving stability, so that the matching degree of the service requesters and the target service provider is improved, the comfort level and the safety sense of the service requesters in the served process can be improved, the safety problem of passengers is considered, and the success rate of the orders is improved.
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 flow chart illustrating an order processing method provided by an embodiment of the present application;
FIG. 2 is a flow chart illustrating a vocabulary usage type determination method for a target service provider as provided by an embodiment of the present application;
fig. 3 is a block diagram illustrating a service system in which an order processing method provided in the embodiment of the present application is located;
fig. 4 is a schematic structural diagram illustrating an order processing apparatus according to an embodiment of the present application;
fig. 5 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, 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 is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can 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.
News reports often conflict between passengers and network car booking drivers in order trips, and the reason is that the current network car booking service platform mostly only randomly distributes the passengers to the network car booking drivers, service requirements of the passengers on the network car booking drivers in order trips are not considered, the matching degree of the passengers and the network car booking drivers is not high, riding experience of the passengers is seriously influenced, the passengers cancel orders, and therefore the success rate of the orders is influenced.
The sharing transportation service brings convenience to people, brings benefits to enterprises, and meanwhile improves the matching degree of the passenger and the network car booking driver, improves the success rate of orders, and enables the passenger to have good riding experience to become the problem that the network car booking service platform needs to solve urgently.
Based on this, the embodiment of the present application provides an order processing method and apparatus, which are described below by way of embodiments.
To facilitate understanding of the present embodiment, a detailed description will be given of an order processing method disclosed in the embodiment of the present application. In the flowchart of an order processing method shown in fig. 1, the method includes the following steps:
s101: determining historical attribute information of a service requester corresponding to each candidate service order to be distributed;
S102: matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider;
s103: at least one candidate service order matching the target service provider is assigned to the target service provider.
In step S101, the candidate service order may be a service order selected for distribution generated by the service platform according to the service request sent by the service request sender to the server. And the service platform distributes the candidate service orders to be distributed to the target service provider.
The service requester refers to a user of the service request terminal, and the service requester sends a service request to a server of the service platform (hereinafter, the server refers to the server of the service platform) through the service request terminal.
The historical attribute information of the service requester may be any attribute information of the service requester related to the frequent residence, vocabulary use type, age, occupation, gender, academic history, physical health condition, and the like of the service requester. The frequent residence places can be residence places with historical continuous residence time exceeding the preset time and/or residence places with accumulated residence time exceeding the preset time; the vocabulary use type can be the type of the vocabulary with the highest use frequency; the occupation may be a historically engaged occupation and/or a currently engaged occupation; the physical health condition may be a current physical health condition.
After the server generates a candidate service order to be distributed according to the service request sent by the service requester, the server may determine the historical attribute information of the service requester according to the identity information of the service requester carried in the service request.
In step S102, the target service provider refers to the service provider determined by the service platform to be assigned the candidate service order.
It should be understood here that the server is a terminal that distributes at least one candidate service order matching a target service provider to the target service provider. The target service provider receives the service order distributed by the service platform through a terminal, wherein the terminal can be a terminal which is only used by the target service provider for receiving the service order distributed by the service platform, and can also be a terminal which is used by the target service provider for receiving the service order distributed by the service platform and providing service for the service requester.
The service style of the target service provider is the service style of the target service provider when providing services for the requestor. The service style of the target service provider can be embodied in the language service style, the action service style and the like of the target service provider. The service style of the target service provider may already be saved in the database.
The language service style may include a language category, a vocabulary usage type, a field of strong topics, and the like. The language type can be a habitual phrase type (such as English, Chinese, Portuguese, etc., or Chinese, Mongolian, Korean, etc., or Mandarin, Chinese dialect, etc.); the vocabulary use type may be a type of vocabulary that is used most frequently. The action service style may include a driving stability degree, a limb action amplitude, a facial expression action type, and the like.
The server matches the historical attribute information of the service requester with the service style of the target service provider, and determines at least one candidate service order corresponding to the service requester of which the historical attribute information is matched with the service style of the target service provider.
In step S103, the server assigns at least one candidate service order matching the target service provider to the target service provider, that is, the historical attribute information of the service requester corresponding to the at least one candidate service order assigned to the target service provider is matched with the service style of the target service provider.
In the technical solutions of the above steps S101 to S103, the historical attribute information of the service requester is matched with the service style of the target service provider, and the candidate service order corresponding to the service requester matched with the target service provider is allocated to the target service provider, so that the service requirement of the service requester on the target service provider is considered, and the service style of the target service provider can better meet the service requirement of the service requester, thereby improving the matching degree between the service requester and the target service provider, and improving the success rate of the order.
In one possible implementation, the historical attribute information may be frequent residences; the service style may be a language category.
In step S102, when at least one candidate service order is matched for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider, candidate service orders corresponding to service requesters with similar language types may be matched for the target service provider according to the language type corresponding to the frequently-living places of the service requester and the language type of the target service provider.
Considering that a person often lives in a certain place, the person may be more accustomed to using the language of the often-living place, for example, a person often lives in the broad east of China for a long time, and the person may be accustomed to using cantonese in daily life work, so that the type of the language corresponding to the often-living place of the service requester can be determined.
The server can acquire the language type of the target service provider from the database, then match the language type corresponding to the frequent residence of the service requester with the language type of the target service provider, and when the language type corresponding to the frequent residence of the service requester is similar to the language type of the target service provider, match the candidate service orders corresponding to the service requesters with similar language types for the target service provider.
The matching of the candidate service orders corresponding to the service requesters with similar language types to the target service provider comprises matching of the candidate service orders corresponding to the service requesters with the same language types to the target service provider.
In the above embodiment, by matching the candidate service orders corresponding to the service requesters with similar language types for the target service provider, communication obstacles between the target service provider and the service requesters can be reduced, matching degree of the target service provider and the service requesters in terms of language communication is improved, a situation that communication cannot be smoothly performed due to different language types is avoided to a certain extent, bad experience of the service requesters on the target service provider is avoided, communication willingness of both parties can be enhanced to a certain extent, service experience of the service requesters is improved, and success rate of the orders is improved.
In one possible implementation, the historical attribute information may be a vocabulary usage type, and the service style may also be the vocabulary usage type.
In step S102, when at least one candidate service order is matched for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider, candidate service orders corresponding to service requesters with the same vocabulary use type may be matched for the target service provider according to the vocabulary use type of the service requester and the vocabulary use type of the target service provider.
The vocabulary use type refers to a type to which the used vocabulary belongs, and can be distinguished according to applicable occasions, applicable groups, word senses and the like of the vocabulary, for example, the vocabulary use type can be divided into: civilized and vulgar vocabulary, network and traditional vocabulary, white words and words of language, and the like. The type of use of the words is not limited to the examples described above.
The vocabulary use type of the service requester is determined according to the first voice information used when the service requester carries out language communication. Specifically, the first voice information used when the service requester performs the language exchange may be voice information used when the service requester historically sends a request service to the service platform and then performs the language exchange with the service provider, or voice information used when performing the language exchange in other service platforms or other scenes.
The server can match the vocabulary use types of the service requesters with the vocabulary use types of the target service providers, and when the vocabulary use types of the service requesters are matched with the vocabulary use types of the target service providers, the server can match candidate service orders corresponding to the service requesters with the same vocabulary use types for the target service providers.
In the above embodiment, by adopting the technical scheme of matching the candidate service orders corresponding to the service requesters with the same vocabulary use types for the target service provider, the recognition feeling of the target service provider and the service requesters can be improved to a certain extent, and the matching degree of the target service provider and the service requesters in the aspect of language communication is improved, so that the willingness of the target service provider and the service requesters in communication is enhanced to a certain extent, the service experience of the service requesters is improved, and the success rate of the orders is improved.
In a specific implementation, the vocabulary usage type of the target service provider may be determined according to the following steps of the flowchart of the vocabulary usage type determination method of the target service provider as shown in fig. 2:
s201: determining the use condition of a preset vocabulary in second voice information according to the second voice information used by the target service provider when the target service provider carries out language communication;
s202: and determining the vocabulary use type of the target service provider according to the use condition of the preset vocabulary in the second voice information.
In step S201, the second voice information used by the target service provider for language communication may be voice information used by the target service provider for language communication with another service requester during the history of executing the service order, voice information used by the target service provider for language communication with the service platform, or voice information used by another service platform or another scenario.
According to the second voice information used when the target service provider carries out the language communication, the use frequency of the preset vocabulary in the second voice information can be determined, and the ratio of the number of the target second voice information containing the preset vocabulary in the second voice information can also be determined.
In step S202, for the case where the determination of the usage of the preset vocabulary in the second speech information in step S201 is performed to determine the ratio of the number of the target second speech information including the preset vocabulary in the second speech information, step S202 may be performed according to the following steps:
step 2021: screening target second voice information with preset sensitive words from the plurality of pieces of second voice information;
step 2022: determining the proportion of the target second voice information in the second voice information according to the quantity of the second voice information and the quantity of the target second voice information;
step 2023: and determining the vocabulary use type of the target service provider according to the proportion of the target second voice information in the second voice information.
In step 2021, at least one sensitive vocabulary of a certain vocabulary usage type may be preset according to the vocabulary usage type. The screened target second voice message may include at least one same or different preset sensitive vocabulary.
For example, where the vocabulary usage type is vulgar, then the preset sensitive vocabulary may be the preset vulgar. And screening out target second voice information with preset vulgar vocabularies from the plurality of pieces of second voice information of the target service provider.
In step 2022, in order to more accurately determine the vocabulary usage type of the target service provider, when determining the amount of the target second voice information, the same target second voice information may be accumulated, that is, when the screened target second voice information is the same, the amount of the target second voice information may be accumulated.
In step 2023, a preset occupation ratio threshold of the target second voice information in the second voice information may be set, and when the occupation ratio of the target second voice information in the second voice information reaches the preset occupation ratio threshold, the vocabulary usage type of the target service provider is determined.
In a specific implementation process, the vocabulary usage type of the service requester may also be executed according to the scheme from step S201 to step S203.
In one possible embodiment, the historical attribute information includes any one or more of: age, occupation, gender, and school calendar; the service style may be a topic-excelling area.
In executing step S102, when at least one candidate service order is matched for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider, the following steps may be executed:
step 1021: determining the interest topic field of the service requester according to the historical attribute information of the service requester;
step 1022: and matching candidate service orders corresponding to the service requesters with the same topic field for the target service provider according to the interest topic field of the service requester and the adept topic field of the target service provider.
In step 1021, the topic of interest field of the service requester is related to the age, occupation, gender and academic history of the individual, and thus the topic of interest field of the service requester can be determined according to one or more information of the age, occupation, gender and academic history of the service requester. For example, the service requestor is a woman, accountants, and can determine that her topic of interest area might be finance, make-up, etc.
In step 1022, the server may match the topic of interest field of the service requester with the topic of interest field of the target service provider, and when the topic of interest field of the service requester matches the topic of interest field of the target service provider, the server matches the candidate service orders corresponding to the service requester with the same topic field for the target service provider.
In the embodiment, the candidate service orders corresponding to the service requesters in the same topic field are matched for the target service provider, so that the service requesters and the target service provider have more common topics, the matching degree of the target service provider and the service requester in the aspect of language communication is improved, the willingness of communication between the service requesters and the target service provider can be enhanced to a certain extent, the service experience of the service requesters is improved, and the success rate of the orders is improved.
In one possible embodiment, the historical attribute information may be a physical health condition; the service style may be a driving stability degree.
In the step S102, in the process of matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider, the candidate service order corresponding to the service requester with good driving stability may be matched for the target service provider with good driving stability according to the physical health condition of the service requester and the driving stability of the target service provider.
Wherein the driving stability degree is determined according to the action information of the target service provider in the process of executing the historical service order.
When the action of the target service provider in the process of executing the historical service order is too large, accidents can occur due to unstable driving, and for a service requester with a bad body, some sudden diseases can occur, so that personal safety problems can occur.
The physical health condition may include the presence or absence of a major disease, the presence or absence of a physical deficiency, the presence of a physical weakness, or the like.
Therefore, the server matches the candidate service orders corresponding to the service requesters with good physical health conditions for the target service providers with good driving stability with respect to the physical health conditions of the service requesters and the driving stability of the target service providers.
In the embodiment, the target service provider with good driving stability is matched with the candidate service order corresponding to the service requester with good physical health condition, so that the comfort level of the service requester in the served process can be improved, and the service experience of the service requester on the target service provider is improved.
In one possible embodiment, the historical attribute information may be any one or more of: age, gender and physical health; the service style may be a degree of civilized behavior specification;
In step S102, when at least one candidate service order is matched for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider, the candidate service orders corresponding to the service requesters except the physical performance state difference may be matched for the target service provider with the poor civilization performance specification degree according to the physical performance state of the service requester and the civilization performance specification degree of the target service provider.
The degree of the specification of the civilized behavior of the target service provider mainly refers to the degree of the compliance of the behavior of the target service provider with the specification of the civilized behavior.
The physical ability status of the service requester refers to whether the service requester is in a weak or strong status.
In the embodiment, the method mainly considers that when the civilization behavior specification degree of the target service provider is poor and the physical ability state of the service requester is not good, personal injury is easily caused to the service requester, and by avoiding matching candidate service orders corresponding to the service requester with the poor physical ability state to the target service provider with the poor civilization behavior specification degree, the matching degree of the target service provider and the service requester is improved, the personal safety of the service requester can be protected to a certain degree, the safety of the service requester is enhanced, and the service experience of the service requester is improved.
In some possible embodiments, the above embodiments may be combined to match candidate service orders corresponding to service requestors with more similarity to the target service provider.
Specifically, candidate service orders corresponding to service requesters with similar language types and the same vocabulary use types can be matched for the target service provider; the target service provider can be matched with candidate service orders corresponding to service requesters with similar language types and the same interest topic fields; the target service provider can be matched with candidate service orders corresponding to service requesters with the same vocabulary use types and the same interest topic fields; and matching candidate service orders corresponding to service requestors with similar language types, same vocabulary use types and same interest topic fields for the target service provider.
By the technical scheme after the combination of the above embodiments, the problem of language communication obstacle between the service requester and the target service provider can be avoided, the willingness of the service requester to communicate with the target service provider can be enhanced to a certain extent, and the matching degree of the target service provider and the service requester in the aspect of language communication is improved, so that the service experience of the service requester on the target service provider is improved, and the success rate of orders is improved.
In a possible embodiment, before allocating the at least one candidate service order matching the target service provider to the target service provider, the service quality information of the target service provider may be further considered, and the at least one candidate service order matching the target service provider may be allocated to the target service provider only when the service characteristics of the target service provider meet the preset requirements.
The quality of service information may include at least one or more of: the percentage of the service orders complained by the target service provider in all the service orders in a preset time period; the percentage of all complaint service orders served by the target service provider in all service orders; whether a service order complained due to a preset problem exists in service orders served by a target service provider within a preset time period; whether all service orders served by the target service provider have service orders complained due to preset problems or not; whether a record for forbidding taking service orders exists in a preset time period by a target service provider or not is judged; whether a target service provider has a record for forbidding taking over service orders or not; the target service provider's current service score; the lowest service score of the target service provider in a preset time period; a minimum service score for the target service provider; the highest service score of the target service provider in a preset time period; the highest service score of the target service provider.
The preset problem may refer to a preset problem that may cause personal safety and/or property safety of the service requester.
Because the data forms corresponding to different pieces of service quality information are different, normalization processing can be performed on the data corresponding to each piece of service quality information, that is, dimensional data corresponding to each piece of service quality information is converted into dimensionless data. For example, for whether a service order complained due to a preset problem exists in service orders served by a target service provider within a preset time period, if yes, the service order is represented by feature data 1; if not, the data is represented by the characteristic data 0.
Based on the quality of service information, the quality of service of the target service provider may be scored. The process of scoring the service quality of the target service provider according to the service quality information can be executed in a trained neural network model, and the vectorized service quality information is input into the neural network model, so that the service quality score of the target service provider can be obtained.
Then, all target service providers are ranked according to the service quality scores from high to low, and at least one candidate service order matched with the target service providers can be preferentially allocated to the target service provider with the highest score; at least one candidate service order matching the target service provider may also be assigned to the target service provider scoring a preset score.
In the implementation process, after at least one candidate service order matched with the target service provider is distributed to the target service provider, the executing service journey can be monitored in real time, and a warning is given in advance to the target service provider with the service quality score not meeting the requirement.
As a possible embodiment, the following explains the order processing method provided in the embodiment of the present application by taking a car booking driver as an example, and specifically may include the following steps:
step 1: and screening out target first voice information with preset words from a plurality of pieces of first voice information when a passenger corresponding to each candidate service order to be distributed has a conversation with a network car booking driver in the historical riding process.
In this step, the first voice information is the voice information of the passenger. The first voice message is the voice message of the passenger extracted from the voice dialogue between the passenger and the net car booking driver in the historical riding process.
At least one vocabulary of a certain vocabulary use type may be previously set according to the vocabulary use type. The screened target first voice information can contain at least one same or different preset vocabulary.
Step 2: and determining the proportion of the target first voice information in the first voice information according to the quantity of the first voice information and the quantity of the target first voice information.
In this step, the vocabulary usage type refers to a type to which the used vocabulary belongs, and the vocabulary usage type can be distinguished according to the applicable occasion, applicable crowd, word sense, etc. of the vocabulary, for example, the vocabulary usage type can be divided into: civilized and vulgar vocabulary, network and traditional vocabulary, white words and words of language, and the like. The type of use of the words is not limited to the examples described above.
When the screened target first voice information is the same, the number of the target first voice information may be accumulated.
And step 3: and determining the vocabulary use type of the passenger according to the proportion of the target first voice information in the first voice information.
The preset occupation ratio threshold value of the target first voice information in the first voice information can be set, and when the occupation ratio of the target first voice information in the first voice information reaches the preset occupation ratio threshold value, the vocabulary use type of the passenger can be determined.
And 4, step 4: and matching at least one candidate service order for the target network car booking driver according to the vocabulary use type of the passenger and the vocabulary use type of the target network car booking driver.
In step 4, the determination method of the vocabulary usage type of the target net car booking driver may also be performed in accordance with the determination method of the vocabulary usage type of the similar passenger.
Generally, the vocabulary use types of the target network car booking drivers are determined in advance and stored in the database, and when the target network car booking drivers are in service orders to be distributed, the vocabulary use types of the target network car booking drivers can be obtained from the database.
And 5: and judging whether the service quality of the target network car booking driver meets the preset requirement or not.
First, the service quality information of the historical service order of the driver of the target network car appointment can be obtained from the database.
According to the service quality information, the service quality of the target network car booking driver can be graded. The vectorized service quality information can be input into the neural network model, and the service quality score of the driver of the car appointment in the target network can be obtained.
And judging whether the service quality of the target network car booking driver meets the preset requirement or not through the service quality score of the target network car booking driver.
Step 6: and if the service quality of the target network car booking driver meets the preset requirement, distributing at least one candidate service order matched with the network car booking driver to the target network car booking driver.
All target network car booking drivers can be ranked according to the service quality scores from high to low, and at least one candidate service order matched with the target network car booking drivers can be preferentially distributed to the highest-scoring target network car booking drivers; at least one candidate service order matching the target web car booking driver may also be assigned to the target web car booking driver scored to a preset score.
Through the embodiment, when the service order is distributed to the online car booking driver, the passenger and the online car booking driver with the same vocabulary use type as the passenger are matched, the problem of communication between the passenger and the online car booking driver is considered, and the willingness of communication between the passenger and the online car booking driver can be enhanced to a certain degree; and service orders are distributed according to the service quality of the online car booking driver, the quality service requirement of passengers is considered, and the matching degree of the target service provider and the service requester in the aspect of language communication is improved, so that the service experience of the passengers on the online car booking driver can be effectively improved, and the success rate of the orders is improved.
As shown in fig. 3, a block diagram of a service system in which the order processing method of some embodiments of the present application is located is shown.
The service system may include one or more of a service request terminal 301 (a terminal used by a service requester of the method provided by the present application), a terminal 302 (a terminal used by a target service provider of the method provided by the present application), a server 303 (an execution agent of the method provided by the present application), a network 304, and a database 305, and the server 303 may include a processor for executing instructions.
In some embodiments, the service requester corresponding to the service request terminal 301 may be the actual demander of the service or another person other than the actual demander of the service. For example, the service requester a may use the service request terminal 301 to initiate a service request for itself, or may use the service request terminal 301 to initiate a service request for other actual service demanders (for example, the user a may call a car for his friend B).
In some embodiments, the target service provider corresponding to the terminal 302 may be an actual service provider or another person other than the actual service provider. For example, user C of terminal 302 may use terminal 302 to receive a service request serviced by actual service provider D (e.g., user C may pick up an order for driver D employed by user C), and/or information or instructions from server 303.
In some embodiments, the service request terminal 301 may comprise a mobile device, a tablet computer, a laptop computer, or the like, or any combination thereof. In some embodiments, the mobile device may comprise a wearable device, a smart mobile device, or the like, or any combination thereof. In some embodiments, the service request terminal may be a device having a positioning technology for locating the position of the service requester and/or the service request terminal.
In some embodiments, the server 303 may be a single server or a group of servers. The set of servers may be centralized or distributed (e.g., server 303 may be a distributed system). As another example, the server 303 may be directly connected to at least one of the service request terminal 301, the terminal 302, and the database 305 to access stored information and/or data.
Network 304 may be used for the exchange of information and/or data. In some embodiments, one or more components in the service system (e.g., server 303, service request terminal 301, terminal 302, and database 305) may send information and/or data to other components. For example, the server 303 may acquire a service request from the service requesting terminal 301 via the network 304. In some embodiments, the network 304 may be any type of wired or wireless network, or combination thereof. By way of example only, the network 304 may include a wireless network, a telecommunication network, an intranet, the internet, etc., or any combination thereof. In some embodiments, network 304 may include one or more network access points. For example, network 304 may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of a serving system may connect to network 304 to exchange data and/or information.
Database 305 may store data and/or instructions. In some embodiments, the database 305 may store data obtained from the service request terminal 301 and/or the terminal 302. In some embodiments, database 305 may store data and/or instructions for the exemplary methods described herein. In some embodiments, the database 305 may include mass storage, removable storage, volatile Read-write Memory, or Read-Only Memory (ROM), among others, or any combination thereof. In some embodiments, database 305 may be implemented on a cloud platform.
Based on the same technical concept, embodiments of the present application further provide an order processing apparatus, an electronic device, a computer-readable storage medium, and the like, which can be specifically referred to in the following embodiments.
Corresponding to the order processing method shown in fig. 1, as shown in fig. 4, an embodiment of the present application further provides a schematic structural diagram of an order processing apparatus. The apparatus may be understood as a component of a server including a processor, which is capable of implementing the order processing method described above, as shown in fig. 4, the order processing apparatus may include:
a first determining module 401, configured to determine historical attribute information of a service requester corresponding to each candidate service order to be allocated;
A matching module 402, configured to match at least one candidate service order for a target service provider according to historical attribute information of the service requester and a service style of the target service provider;
an assigning module 403, configured to assign at least one candidate service order matching the target service provider to the target service provider.
In one possible implementation, the historical attribute information includes frequent dwellings; the service style comprises a language category;
the matching module 402 includes:
and the first matching submodule is used for matching candidate service orders corresponding to the service requesters with similar language types for the target service provider according to the language type corresponding to the frequent residence of the service requester and the language type of the target service provider.
In one possible implementation, the historical attribute information includes a vocabulary usage type; the service style comprises a vocabulary use type;
the matching module 402 includes:
the second matching submodule is used for matching candidate service orders corresponding to the service requesters with the same vocabulary use types for the target service provider according to the vocabulary use types of the service requesters and the vocabulary use types of the target service provider; the vocabulary use type of the service requester is determined according to the first voice information used when the service requester performs language communication.
In one possible embodiment, the second matching submodule includes:
the second determining module is used for determining the use condition of a preset vocabulary in second voice information according to the second voice information used by a target service provider during language communication;
and the third determining module is used for determining the vocabulary use type of the target service provider according to the use condition of the preset vocabulary in the second voice information.
In one possible embodiment, the third determining module includes:
the screening module is used for screening target second voice information with preset sensitive words from the second voice information;
a fourth determining module, configured to determine, according to the number of the second voice messages and the number of the target second voice messages, a ratio of the target second voice messages to the second voice messages;
and the fifth determining module is used for determining the vocabulary use type of the target service provider according to the proportion of the target second voice information in the second voice information.
In one possible embodiment, the historical attribute information includes any one or more of: age, occupation, gender, and school calendar; the service style comprises a topic area of excellence;
The matching module 402 comprises:
a sixth determining module, configured to determine, according to historical attribute information of the service requester, an interest topic field of the service requester;
and the third matching sub-module is used for matching candidate service orders corresponding to the service requesters with the same topic field for the target service provider according to the interest topic field of the service requester and the adept topic field of the target service provider.
In one possible embodiment, the historical attribute information includes a physical health condition; the service style includes a driving stability degree:
the matching module 402 comprises:
the fourth matching sub-module is used for matching the candidate service orders corresponding to the service requesters with good physical health conditions for the target service providers with good driving stability degrees according to the physical health conditions of the service requesters and the driving stability degrees of the target service providers; the driving stability degree is determined according to the action information of the target service provider in the process of executing the historical service order.
As shown in fig. 5, a schematic structural diagram of an electronic device provided in an embodiment of the present application is shown, where the electronic device includes: the electronic device comprises a processor 501, a memory 502 and a bus 503, wherein the memory 502 stores execution instructions, when the electronic device runs, the processor 501 and the memory 502 communicate through the bus 503, and the processor 501 executes the steps of the order processing method stored in the memory 502, as shown in fig. 1.
In an embodiment of the present application, the processor 501, by calling a program or instructions stored in the memory 502, is configured to: determining historical attribute information of a service requester corresponding to each candidate service order to be distributed;
matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider;
assigning at least one candidate service order matching the target service provider to the target service provider.
In one possible implementation, the historical attribute information includes frequent dwellings; the service style comprises a language category; the processor 501 is configured to:
and matching candidate service orders corresponding to the service requesters with similar language types for the target service provider according to the language types corresponding to the frequently-living places of the service requesters and the language types of the target service provider.
In one possible implementation, the historical attribute information includes a vocabulary usage type; the service style comprises a vocabulary use type; the processor 501 is configured to:
matching candidate service orders corresponding to the service requesters with the same vocabulary use types for the target service provider according to the vocabulary use types of the service requesters and the vocabulary use types of the target service provider; the vocabulary use type of the service requester is determined according to the first voice information used when the service requester performs language communication.
In one possible embodiment, in performing the step of determining the vocabulary usage type for the target service provider, the processor 501 is configured to: determining the use condition of a preset vocabulary in second voice information according to the second voice information used by a target service provider during language communication;
and determining the vocabulary use type of the target service provider according to the use condition of the preset vocabulary in the second voice information.
In one possible implementation, the processor 501 is further configured to:
screening out target second voice information with preset sensitive words from the second voice information;
determining the proportion of the target second voice information in the second voice information according to the quantity of the second voice information and the quantity of the target second voice information;
and determining the vocabulary use type of the target service provider according to the proportion of the target second voice information in the second voice information.
In one possible embodiment, the historical attribute information includes any one or more of: age, occupation, gender, and school calendar; the service style comprises a topic area of excellence; the processor 501 is configured to:
Determining the interest topic field of the service requester according to the historical attribute information of the service requester;
and matching candidate service orders corresponding to the service requesters with the same topic field for the target service provider according to the interest topic field of the service requester and the adept topic field of the target service provider.
In one possible embodiment, the historical attribute information includes a physical health condition; the service style comprises a driving stability degree; the processor 501 is configured to:
matching the candidate service orders corresponding to the service requesters with good physical health conditions for the target service provider with good driving stability according to the physical health conditions of the service requesters and the driving stability of the target service provider; the driving stability degree is determined according to the action information of the target service provider in the process of executing the historical service order.
The computer program product for performing the order processing method provided in the embodiment of the present application includes a computer-readable storage medium storing a nonvolatile program code executable by a processor, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, and is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
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 embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units 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 units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units 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 usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to 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 (16)

1. An order processing method, comprising:
determining historical attribute information of a service requester corresponding to each candidate service order to be distributed;
matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider;
assigning at least one candidate service order matching the target service provider to the target service provider.
2. The order processing method according to claim 1, wherein the history attribute information includes a frequent dwelling place; the service style comprises a language category;
the matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider comprises:
and matching candidate service orders corresponding to the service requesters with similar language types for the target service provider according to the language types corresponding to the frequently-living places of the service requesters and the language types of the target service provider.
3. The order processing method according to claim 1, wherein the history attribute information includes a vocabulary usage type; the service style comprises a vocabulary use type;
The matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider comprises:
matching candidate service orders corresponding to the service requesters with the same vocabulary use types for the target service provider according to the vocabulary use types of the service requesters and the vocabulary use types of the target service provider; the vocabulary use type of the service requester is determined according to the first voice information used when the service requester performs language communication.
4. The order processing method of claim 3, wherein the vocabulary usage type of the target service provider is determined according to the steps of:
determining the use condition of a preset vocabulary in second voice information according to the second voice information used by a target service provider during language communication;
and determining the vocabulary use type of the target service provider according to the use condition of the preset vocabulary in the second voice information.
5. The order processing method according to claim 4, wherein said determining the vocabulary usage type of the target service provider according to the usage of the preset vocabulary in the second voice message comprises:
Screening out target second voice information with preset sensitive words from the second voice information;
determining the proportion of the target second voice information in the second voice information according to the quantity of the second voice information and the quantity of the target second voice information;
and determining the vocabulary use type of the target service provider according to the proportion of the target second voice information in the second voice information.
6. The order processing method of claim 1, wherein the historical attribute information comprises any one or more of: age, occupation, gender, and school calendar; the service style comprises a topic area of excellence;
the matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider comprises:
determining the interest topic field of the service requester according to the historical attribute information of the service requester;
and matching candidate service orders corresponding to the service requesters with the same topic field for the target service provider according to the interest topic field of the service requester and the adept topic field of the target service provider.
7. The order processing method according to claim 1, wherein the historical attribute information includes a physical health condition; the service style comprises a driving stability degree;
the matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider comprises:
matching the candidate service orders corresponding to the service requesters with good physical health conditions for the target service provider with good driving stability according to the physical health conditions of the service requesters and the driving stability of the target service provider; the driving stability degree is determined according to the action information of the target service provider in the process of executing the historical service order.
8. An order processing apparatus, comprising:
the first determining module is used for determining the historical attribute information of the service requester corresponding to each candidate service order to be distributed;
the matching module is used for matching at least one candidate service order for the target service provider according to the historical attribute information of the service requester and the service style of the target service provider;
An allocation module to allocate at least one candidate service order matched to the target service provider.
9. The order processing apparatus according to claim 8, wherein the history attribute information includes a frequent dwelling place; the service style comprises a language category;
the matching module includes:
and the first matching submodule is used for matching candidate service orders corresponding to the service requesters with similar language types for the target service provider according to the language type corresponding to the frequent residence of the service requester and the language type of the target service provider.
10. The order processing apparatus according to claim 8, wherein the history attribute information includes a vocabulary usage type; the service style comprises a vocabulary use type;
the matching module includes:
the second matching submodule is used for matching candidate service orders corresponding to the service requesters with the same vocabulary use types for the target service provider according to the vocabulary use types of the service requesters and the vocabulary use types of the target service provider; the vocabulary use type of the service requester is determined according to the first voice information used when the service requester performs language communication.
11. The order processing apparatus of claim 10, wherein the second matching sub-module comprises:
the second determining module is used for determining the use condition of a preset vocabulary in second voice information according to the second voice information used by a target service provider during language communication;
and the third determining module is used for determining the vocabulary use type of the target service provider according to the use condition of the preset vocabulary in the second voice information.
12. The order processing apparatus of claim 11, wherein the third determining module comprises:
the screening module is used for screening target second voice information with preset sensitive words from the second voice information;
a fourth determining module, configured to determine, according to the number of the second voice messages and the number of the target second voice messages, a ratio of the target second voice messages to the second voice messages;
and the fifth determining module is used for determining the vocabulary use type of the target service provider according to the proportion of the target second voice information in the second voice information.
13. The order processing apparatus of claim 8, wherein the historical attribute information comprises any one or more of: age, occupation, gender, and school calendar; the service style comprises a topic area of excellence;
The matching module includes:
a sixth determining module, configured to determine, according to historical attribute information of the service requester, an interest topic field of the service requester;
and the third matching sub-module is used for matching candidate service orders corresponding to the service requesters with the same topic field for the target service provider according to the interest topic field of the service requester and the adept topic field of the target service provider.
14. The order processing apparatus according to claim 8, wherein the historical attribute information includes a physical health condition; the service style includes a driving stability degree:
the matching module includes:
the fourth matching sub-module is used for matching the candidate service orders corresponding to the service requesters with good physical health conditions for the target service providers with good driving stability degrees according to the physical health conditions of the service requesters and the driving stability degrees of the target service providers; the driving stability degree is determined according to the action information of the target service provider in the process of executing the historical service order.
15. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the order processing method according to any of claims 1 to 7.
16. A computer-readable storage medium, having stored thereon a computer program for performing the steps of the order processing according to any one of claims 1 to 7 when executed by a processor.
CN202010427413.3A 2020-05-19 2020-05-19 Order processing method and device, electronic equipment and readable storage medium Pending CN111858847A (en)

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