CN112927034A - Information processing method and device - Google Patents
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Abstract
The embodiment of the application provides an information processing method and device, wherein the method comprises the following steps: detecting an order service request triggered by a merchant user aiming at any household order, and acquiring service content information provided by the merchant user; detecting an order evaluation request triggered by a demand user for the household order, and acquiring service evaluation information of the demand user for household service provided by the merchant user; and generating target evaluation information of the home service order according to the service content information and the service evaluation information. According to the embodiment of the application, the evaluation content of the household order is more comprehensive, and the effectiveness and accuracy of evaluation are higher.
Description
Technical Field
The present application relates to the field of computer application technologies, and in particular, to an information processing method and apparatus.
Background
The online home service is generally provided by a home service system, such as displaying the online home service and receiving orders. The provider of the home-based service, that is, the merchant user, can upload home-based service information, such as home-based service type, certificate, service life, and the like, to the home-based service system through the merchant, and display the home-based service information through a display page provided by the home-based service system. The household service demander can issue the requirement information of the household service, such as the type of the household service, specific service time point, service duration, price and other information, through the user terminal. When a provider of the home administration service has a transaction intention with a user of the home administration service, a home administration order can be generated through the home administration service platform, and order time, a service location, a type of the home administration service, order price, merchant information, user information and the like can be recorded in order content information.
In the prior art, after the housekeeping order is generated, the merchant user completes the housekeeping service for the user requiring the housekeeping service according to the time, the type and the place of the signed housekeeping order. After the completion of the home-based service, in order to know the service content and the service effect of the merchant, the service evaluation of the merchant user may be generally collected from the users who require the home-based service.
However, the service evaluation content provided only by the requesting user is single and not comprehensive enough, which results in a decrease in accuracy and reliability of the evaluation of the service effect of the housekeeping user.
Disclosure of Invention
In view of this, embodiments of the present application provide an information processing method and apparatus, so as to solve the technical problem in the prior art that evaluation contents provided only by a requesting user cause low evaluation accuracy and reliability of an administrative service order.
In a first aspect, an embodiment of the present application provides an information processing method, where the method includes:
detecting an order service request triggered by a merchant user aiming at any household order, and acquiring service content information provided by the merchant user;
detecting an order evaluation request triggered by a demand user for the household order, and acquiring service evaluation information of the demand user for household service provided by the merchant user;
and generating target evaluation information of the home service order according to the service content information and the service evaluation information.
Optionally, the method further comprises:
generating reward resource information for the merchant user according to the target evaluation information of the household order;
outputting the reward resource information for the merchant user;
detecting a resource acquisition request initiated by the merchant user aiming at the reward resource information, and distributing the reward resource information to a merchant account of the merchant user.
Optionally, the detecting an order service request triggered by a merchant user for any household order, and acquiring service content information provided by the merchant user includes:
detecting a first card-punching request triggered by the merchant user for any household order, and confirming that the working state of the merchant user is a service state;
and when the merchant user is in a working service state, detecting service content information provided by the merchant user.
Optionally, the detecting a card-punching request triggered by the merchant user for any household order and after confirming that the merchant user enters a working service state further includes:
and detecting a second card punching request triggered by the merchant user for the household order, and determining that the working state of the merchant user is switched from the service state to an end state.
Optionally, the service content information includes: content sub-information respectively set by the merchant user aiming at least one service parameter; the information type of any content sub-information comprises one or more of a character type, an image type, a voice type and a video type;
the service evaluation information comprises evaluation sub-information which is set by the demand user aiming at the at least one service parameter respectively; the information types of any one of the evaluation sub information include: one or more of a text type, an image type, a voice type, and a video type.
Optionally, the generating target evaluation information of the home order according to the service content information and the service evaluation information includes:
determining a service analysis result of the service parameter according to the evaluation sub-information and the content sub-information respectively corresponding to any service parameter so as to obtain a service analysis result respectively corresponding to the at least one service parameter;
and determining target evaluation information of the household order based on the service analysis result of the at least one service parameter pair.
Optionally, the service analysis result of any one service parameter is determined by:
aiming at any service parameter, judging that the evaluation sub-information and the content sub-information corresponding to the service parameter meet the information similarity condition;
if so, determining a service analysis result of the service parameter according to the evaluation sub-information or the content sub-information corresponding to the service parameter;
and if not, performing evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameters to obtain service analysis results of the service parameters.
Optionally, the method further comprises:
acquiring a target service parameter of the at least one service parameter, wherein the evaluation sub-information and the content sub-information do not meet the information similarity condition;
converting the evaluation sub-information and the content sub-information of the target service parameters into target demand information of the demand user according to the information weight;
generating target recommendation information for the demand users based on the target demand information of the demand users;
and generating target recommendation information for the demand user.
Optionally, if not, performing evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameter, and obtaining a service analysis result of the service parameter includes:
if not, generating a primary label for the demand user and generating a secondary label for the service user; wherein the weight coefficient of the primary label is higher than the weight coefficient of the secondary label;
scoring the evaluation subdata and the content subdata of the service parameters to obtain an evaluation score and a content score;
and performing evaluation weighting processing on the evaluation scores and the content scores according to the weight coefficients corresponding to the primary labels and the weight coefficients corresponding to the secondary labels to obtain the service scores of the service parameters.
In a second aspect, an embodiment of the present application provides an information processing apparatus, including:
the system comprises a first detection module, a second detection module and a third detection module, wherein the first detection module is used for detecting an order service request triggered by a merchant user aiming at any household order and acquiring service content information provided by the merchant user;
the second detection module is used for detecting an order evaluation request triggered by a demand user for the household order and acquiring service evaluation information of the demand user on household service provided by the merchant user;
and the order evaluation module is used for generating target evaluation information of the housekeeping service order according to the service content information and the service evaluation information.
In the embodiment of the application, an order service request triggered by a merchant user for any household order can be detected, and service content information provided by the merchant user can be obtained. Meanwhile, an order evaluation request triggered by the demand user for the household order can be detected, service evaluation information of the household service provided by the demand user to the merchant user is obtained, and therefore target evaluation information of the household service order is generated according to the service content information and the service evaluation information. By evaluating the household order from two aspects of a merchant user and a demand user, the evaluation content of the household order is more comprehensive, and the effectiveness and the accuracy of the evaluation are higher.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an embodiment of an information processing method according to an embodiment of the present application;
fig. 2 is a flowchart of another embodiment of an information processing method according to an embodiment of the present application;
fig. 3 is a flowchart of another embodiment of an information processing method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an embodiment of an information processing apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an embodiment of a computing device according to an embodiment of the present disclosure.
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 some embodiments of the present application, but not all 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 application.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a" and "an" typically include at least two, but do not exclude the presence of at least one.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The words "if," "if," as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a recognition," depending on the context. Similarly, the phrases "if determined" or "if identified (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when identified (a stated condition or event)" or "in response to an identification (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
The technical scheme of the embodiment of the application can be applied to an evaluation scene of the home administration service, and evaluation information of the home administration service order is more comprehensive and evaluation effectiveness is higher by obtaining evaluation of two aspects of a merchant user and a demand user of the home administration service order.
The embodiments of the present application will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, which is a flowchart of an embodiment of an information processing method provided in an embodiment of the present application, the method may include the following steps:
101: detecting an order service request triggered by a merchant user aiming at any household order, and acquiring service content information provided by the merchant user.
The information processing method provided by the embodiment of the application can be applied to a server, the server can be a computer, a super personal computer, a notebook, a common server or a cloud server, and the like, and the specific type of the server is not limited too much in the embodiment of the application.
The requesting user can log in to the user terminal by using the user name and the password. The merchant user may log into the merchant location using his username and password. The user side and the merchant side related in the embodiment of the application are both after the user logs in, and different users with different requirements and different merchant users can be distinguished. The merchant terminal or the user terminal may be a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, an Augmented Reality (AR), a Virtual Reality (VR), a Personal Digital Assistant (PDA), or other terminal devices, and the specific type of the merchant terminal or the user terminal is not limited too much in the embodiment of the present application.
The household order is signed by a merchant user and a demand user through a household service platform, the household order may be associated with order content information, and the order content information may include: order number, and type of home service, time of service, time period of service, frequency of service, and/or price of order, among others. The service time period may be determined according to a home-defined starting time point and an ending time point.
Optionally, detecting an order service request triggered by a merchant user for any household order, and acquiring service content information provided by the merchant user may include: detecting an order service request triggered by a merchant user for any household order, determining an order time period in order content information of the household order, and determining service request time for detecting the order service request initiated by the merchant user; judging whether the service request time is within the order time period, if so, acquiring service content information provided by a merchant user; and if not, providing prompt information of unmatched service time to the merchant user.
102: detecting an order evaluation request triggered by a demand user aiming at a household order, and acquiring service evaluation information of the household service provided by the demand user to a merchant user.
Optionally, the detecting an order evaluation request triggered by the demand user for the household order, and the obtaining service evaluation information of the household service provided by the demand user to the merchant user may include: after detecting that the requiring user performs the confirmation operation of the home service for the home order, the service evaluation information of the home service provided by the requiring user to the merchant user can be obtained. The service content information provided by the merchant user may be provided during the order period of the home order, and the service evaluation information provided by the demand user may be provided immediately after the confirmation execution of the home order, or may be provided after the termination time point of the home order.
103: and generating target evaluation information of the home service order according to the service content information and the service evaluation information.
The service content information of the merchant user and the service evaluation information of the demand user are integrated in the target evaluation information, so that the content is more comprehensive, and the accuracy and the effectiveness are higher.
In the embodiment of the application, an order service request triggered by a merchant user for any household order can be detected, and service content information provided by the merchant user can be obtained. Meanwhile, an order evaluation request triggered by the demand user for the household order can be detected, service evaluation information of the household service provided by the demand user to the merchant user is obtained, and therefore target evaluation information of the household service order is generated according to the service content information and the service evaluation information. By evaluating the household order from two aspects of a merchant user and a demand user, the evaluation content of the household order is more comprehensive, and the effectiveness and the accuracy of the evaluation are higher.
As shown in fig. 2, a flowchart of another embodiment of an information processing method provided in an embodiment of the present application may include:
201: detecting an order service request triggered by a merchant user aiming at any household order, and acquiring service content information provided by the merchant user.
Some steps in the embodiment of the present application are the same as those in the embodiment shown in fig. 1, and are not described herein again for the sake of brevity of description.
202: detecting an order evaluation request triggered by a demand user aiming at a household order, and acquiring service evaluation information of the household service provided by the demand user to a merchant user.
203: and generating target evaluation information of the home service order according to the service content information and the service evaluation information.
204: and generating reward resource information for the merchant user according to the target evaluation information of the household order.
With the development of computer technology and network technology, data, information, broadband, storage space, user account funds and the like can be regarded as a resource, and since the corresponding resource is obtained in connection with or shared via the internet, the resource is also regarded as a shared resource. The electronic red envelope is a shared resource, corresponds to a corresponding fund amount, and can be equivalently converted into corresponding fund to be sent to a user account so as to enable a user to perform operations such as electronic transaction and the like.
Optionally, the reward resource may be an electronic data resource, and may correspond to a certain amount of money, and the reward resource information may be prompt information generated by using the amount of reward money provided for the merchant user. The target user can be prompted to obtain the corresponding reward amount through the reward resource information.
205: and outputting the reward resource information for the merchant user.
206: and detecting a resource acquisition request initiated by the merchant user aiming at the reward resource information, and distributing the reward resource information to a merchant account of the merchant user.
Optionally, when allocating the reward resource information to the merchant account of the merchant user, the reward amount in the reward information may be exchanged into a currency value to be allocated to the merchant account of the merchant user.
In the embodiment of the application, after the target evaluation information of the home affair order is generated by using the service content information provided by the merchant user and the service evaluation information provided by the demand user, the accurate rating of the home affair service of the merchant user is realized, so that the reward resource information is generated for the merchant user according to the target evaluation information of the home affair order. The reward resource information can provide rewards for the merchant users for the household orders, and the positivity of the merchant users for providing household services can be improved. When the reward resource information is determined, the reward resource information is associated with the target evaluation information, so that the reward resource information is matched with the housekeeping service requirement provided by the merchant user, the accuracy is higher, and effective reward is realized.
In order to establish timeliness of the merchant user home service, as an embodiment, detecting an order service request triggered by the merchant user for any home order, and acquiring service content information provided by the merchant user may include:
detecting a first card-punching request triggered by a merchant user aiming at any household order, and confirming that the working state of the merchant user is a service state;
when the merchant user is in the working service state, the service content information provided by the merchant user is detected.
By acquiring the working state of the merchant user, the service content information provided by the merchant user is collected when the merchant user is in the working state, the time-dependent association between the service content information and the household order is established, and the reliability and the accuracy of the service content information are improved.
As a possible implementation manner, after detecting a card-punching request triggered by a merchant user for any household order and confirming that the merchant user enters a working service state, the method further includes:
and detecting a second card punching request triggered by the merchant user for the household order, and determining that the working state of the merchant user is switched from the service state to the end state.
When the merchant user ends the job status, a second card-punch request may be triggered for the end of the housekeeping order service. In practical application, a state switching control of the household order can be provided, and the merchant user can switch the service state of the household order by triggering the state switching control.
In one possible design, the content sub-information is set by the merchant user respectively aiming at least one service parameter; the information type of any content sub-information includes one or more of a text type, an image type, a voice type and a video type. The service evaluation information comprises evaluation sub-information which is set by a demand user aiming at least one service parameter respectively; the information types of any one of the evaluation sub information include: one or more of a text type, an image type, a voice type, and a video type.
Alternatively, the at least one service parameter may be a parameter set according to a specific service item of the order content information, for example, when the order content includes a cleaning item, an infant care item, and a dining item, a first service parameter may be set for the cleaning item, a second service parameter may be set for the infant care item, and a third service parameter may be set for the dining item.
Optionally, the text-type content sub-information may be obtained by:
an input interface for providing service content for merchant users;
and acquiring first content sub-information of the character type input by the merchant user based on the input operation triggered by the merchant user in the input interface aiming at any service parameter.
The content sub-information of the image type may be acquired by:
and acquiring second content sub-information of the image type obtained by shooting the merchant user based on the image shooting request triggered by the merchant user aiming at any service parameter.
The content sub-information of the video type may be obtained by:
acquiring third content sub-information of a video type acquired by the merchant user through photographing based on a video photographing request triggered by the merchant user aiming at any service parameter;
the content sub-information of the video type may be obtained by:
and acquiring fourth content sub-information of the voice type acquired by photographing of the merchant user based on the voice acquisition request triggered by the merchant user aiming at any service parameter.
Alternatively, the evaluation sub-information of the text type may be acquired by:
an input interface for providing service content for a user;
based on the input operation of the demand user in the input interface aiming at any service parameter, acquiring first evaluation sub-information of the character type input by the demand user.
The evaluation sub-information of the image type may be acquired by:
and acquiring second evaluation sub-information of the image type acquired by photographing of the demand user based on the image photographing request triggered by the demand user aiming at any service parameter.
The evaluation sub-information of the video type can be obtained by the following method:
acquiring third evaluation sub-information of a video type acquired by photographing of a demand user based on a video photographing request triggered by the demand user for any service parameter;
the evaluation sub-information of the video type can be obtained by the following method:
and acquiring fourth evaluation sub-information of the voice type acquired by photographing of the demand user based on the voice acquisition request triggered by the demand user aiming at any service parameter.
As an embodiment, generating target evaluation information of the housekeeping order according to the service content information and the service evaluation information may include:
determining a service analysis result of the service parameter according to the evaluation sub-information and the content sub-information respectively corresponding to any service parameter so as to obtain a service analysis result respectively corresponding to at least one service parameter;
and determining target evaluation information of the household order based on the service analysis result of each pair of at least one service parameter.
The service analysis result of any one service parameter can be determined by the similarity of the evaluation sub-information and the content sub-information of the service parameter. When the similarity between the evaluation sub-information of one service parameter and the content sub-information is higher, the service analysis result of the service parameter is better, and when the similarity between the evaluation sub-information of one service parameter and the content sub-information is lower, the service analysis result of the service parameter is worse. In one possible design, the service analysis result may be a similarity score between the evaluation sub-information and the content sub-information, and the higher the similarity score is, the better the service analysis result is, and the worse the similarity score is, the worse the service analysis result is.
In some embodiments, the service analysis result of any one of the service parameters is determined by:
aiming at any service parameter, judging that the evaluation sub-information and the content sub-information corresponding to the service parameter meet the information similarity condition;
if so, determining a service analysis result of the service parameter according to the evaluation sub-information or the content sub-information corresponding to the service parameter;
and if not, performing evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameters to obtain service analysis results of the service parameters.
The similarity between the evaluation sub-information and the content sub-information corresponding to any one of the service parameters can be obtained by performing feature matching calculation or feature distance calculation on the evaluation sub-information and the content sub-information of the service parameter. The evaluation features of the evaluation sub-information and the content features of the content sub-information can be extracted, and the feature distance between the evaluation features and the content features is calculated to determine the similarity score through the feature distance. For example, an association table of feature distances and similarity scores may be set, and by querying the association table, the similarity score corresponding to the distance feature obtained by calculation may be determined.
In another possible design, if not, performing evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameter, and obtaining the service analysis result of the service parameter may include:
if not, generating a primary label for the demand user and generating a secondary label for the service user; wherein the weight coefficient of the first-level label is higher than that of the second-level label;
scoring the evaluation subdata and the content subdata of the service parameters to obtain an evaluation score and a content score;
and performing evaluation weighting processing on the evaluation scores and the content scores according to the weight coefficients corresponding to the primary labels and the weight coefficients corresponding to the secondary labels to obtain the service scores of the service parameters.
The order evaluation contribution degrees of the service user and the demand user can be different, and the evaluation contribution degree of the demand user to the household order can be higher than that of the service user to the household order, so that a primary label can be set for the demand user, and a secondary label can be set for the merchant user. The weight coefficient of the primary label is higher than the weight coefficient of the secondary label, for example, the weight coefficient of the primary label may be 0.6 and the weight coefficient of the secondary label may be 0.4. The sum of the weight coefficient corresponding to the first-level label and the weight coefficient corresponding to the second-level label is 1.
In some embodiments, after obtaining the service analysis results respectively corresponding to the at least one service parameter, the method may further include:
obtaining a target service parameter of which the evaluation sub-information and the content sub-information do not meet the information similarity condition in at least one service parameter;
converting the evaluation sub-information and the content sub-information based on the target service parameters into target demand information of demand users according to the information weight;
generating target recommendation information for the demand users based on the target demand information of the demand users;
and generating target recommendation information for the demand user.
Generating the target recommendation information for the demanding user based on the target demand information of the demanding user may include: and searching a target merchant user for the demand user based on the target demand information of the demand user, and generating target recommendation information for the demand user according to the user information of the target merchant user. When the service analysis results corresponding to at least one service parameter in the household order respectively show that the result is not ideal enough and is too many, which indicates that the household service provided by the merchant user is poor, at this time, in order to ensure the satisfaction degree of the household service requirement of the demand user, a new merchant user can be recommended for the demand user again, so as to ensure that the household service requirement of the demand user can be met in time.
Generating the target recommendation information for the demanding user based on the target demand information of the demanding user may include: and generating a detailed display page of the demand information based on the target demand information of the demand user, wherein the detailed display page is the target recommendation information. The requirements of the demand users are deeply analyzed, so that the accurate prompt of the demand users is realized, and the demand users are ensured to initiate new household orders through detailed display pages of the demand information.
As shown in fig. 3, a flowchart of another embodiment of an information processing method provided in an embodiment of the present application may include:
301: detecting an order service request triggered by a merchant user aiming at any household order, and acquiring content sub-information respectively set by the merchant user aiming at least one service parameter.
302: detecting an order evaluation request triggered by a demand user aiming at a household order, and acquiring evaluation sub-information respectively set by the demand user aiming at least one service parameter.
303: and determining the service analysis result of the service parameter according to the evaluation sub-information and the content sub-information respectively corresponding to any service parameter so as to obtain the service analysis result respectively corresponding to at least one service parameter.
304: and determining target evaluation information of the household order based on the service analysis result of each pair of at least one service parameter.
In the embodiment of the application, when the service content information of the merchant user and the service evaluation information of the demand user are obtained, at least one service parameter may be provided to obtain the content information of the merchant user and the content information of the demand user respectively, so as to obtain the content sub-information set by the at least one service parameter respectively and the evaluation sub-information set by the at least one service parameter respectively. The parameter service can be accurately evaluated through the content sub-information and the evaluation sub-information which are respectively corresponding to at least one service parameter, the target evaluation information of the home order can be determined through the service analysis result which is respectively corresponding to at least one service parameter, and the accurate and comprehensive evaluation of the service of the merchant user is realized.
As shown in fig. 4, a schematic structural diagram of an embodiment of an information processing apparatus provided in an embodiment of the present application may include:
the first detection module 401: the method and the system are used for detecting order service requests triggered by merchant users aiming at any household order and acquiring service content information provided by the merchant users.
The second detection module 402: the method and the system are used for detecting an order evaluation request triggered by a demand user for an administrative order and acquiring service evaluation information of the administrative service provided by the demand user for a merchant user.
The order evaluation module 403: and the target evaluation information is used for generating the target evaluation information of the home service order according to the service content information and the service evaluation information.
In the embodiment of the application, an order service request triggered by a merchant user for any household order can be detected, and service content information provided by the merchant user can be obtained. Meanwhile, an order evaluation request triggered by the demand user for the household order can be detected, service evaluation information of the household service provided by the demand user to the merchant user is obtained, and therefore target evaluation information of the household service order is generated according to the service content information and the service evaluation information. By evaluating the household order from two aspects of a merchant user and a demand user, the evaluation content of the household order is more comprehensive, and the effectiveness and the accuracy of the evaluation are higher.
As an embodiment, the apparatus may further include:
and the resource generation module is used for generating reward resource information for the merchant user by using the target evaluation information according to the household order.
And the resource output module is used for outputting the reward resource information for the merchant user.
And the resource allocation module is used for detecting a resource acquisition request initiated by the merchant user aiming at the reward resource information and allocating the reward resource information to the merchant account of the merchant user.
As yet another embodiment, the first detection module may include:
the system comprises a first detection unit, a second detection unit and a third detection unit, wherein the first detection unit is used for detecting a first card-punching request triggered by a merchant user aiming at any household order and confirming that the working state of the merchant user is a service state;
and the information providing unit is used for detecting the service content information provided by the merchant user when the merchant user is in the working service state.
In some embodiments, the first detection module may further include:
and the second detection unit is used for detecting a second card punching request triggered by the merchant user for the household order and determining that the working state of the merchant user is switched from the service state to the end state.
In one possible design, the service content information includes: content sub-information respectively set by the merchant user aiming at least one service parameter; the information type of any content sub-information comprises one or more of a character type, an image type, a voice type and a video type;
the service evaluation information comprises evaluation sub-information which is set by a demand user aiming at least one service parameter respectively; the information types of any one of the evaluation sub information include: one or more of a text type, an image type, a voice type, and a video type.
As an example, the order evaluation module may include:
the first analysis unit is used for determining a service analysis result of the service parameter according to the evaluation sub-information and the content sub-information which respectively correspond to any service parameter so as to obtain a service analysis result which respectively corresponds to at least one service parameter;
and the second analysis unit is used for determining target evaluation information of the household order based on the service analysis result of each pair of at least one service parameter.
In one possible embodiment, the first evaluation unit determines the result of the service evaluation of any one of the service parameters by:
aiming at any service parameter, judging that the evaluation sub-information and the content sub-information corresponding to the service parameter meet the information similarity condition;
if so, determining a service analysis result of the service parameter according to the evaluation sub-information or the content sub-information corresponding to the service parameter;
and if not, performing evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameters to obtain service analysis results of the service parameters.
As yet another embodiment, the order evaluation module may further include:
the third analysis unit is used for acquiring a target service parameter of which the evaluation sub-information and the content sub-information do not meet the information similarity condition in at least one service parameter;
the weight conversion unit is used for converting the evaluation sub information and the content sub information of the target service parameters into target demand information of demand users according to the information weight;
the recommendation generating unit is used for generating target recommendation information for the demand users based on the target demand information of the demand users;
and the recommendation output unit is used for generating target recommendation information for the demand users.
In some embodiments, if the first analysis unit determines that the service parameter is not the content sub-information, the first analysis unit performs evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameter, and obtaining the service analysis result of the service parameter may specifically include:
if not, generating a primary label for the demand user and generating a secondary label for the service user; wherein the weight coefficient of the first-level label is higher than that of the second-level label; scoring the evaluation subdata and the content subdata of the service parameters to obtain an evaluation score and a content score; and performing evaluation weighting processing on the evaluation scores and the content scores according to the weight coefficients corresponding to the primary labels and the weight coefficients corresponding to the secondary labels to obtain the service scores of the service parameters.
The information processing apparatus in fig. 4 can execute the information processing method in the embodiment shown in fig. 1, and the implementation principle and the technical effect are not described again. The specific implementation of the modules, units and sub-units in the above-mentioned apparatus has been described in detail in the embodiments related to the method, and will not be elaborated herein.
In practical applications, the information processing apparatus shown in fig. 4 may be configured as a computing device, as shown in fig. 5, and is a schematic structural diagram of an embodiment of a computing device provided in the embodiment of the present application, where the computing device may include: a storage component 501 and a processing component 502; storage component 501 is used to store one or more computer instructions; one or more computer instructions are invoked by the processing component 502; the processing component 502 can be configured to perform any of the information processing methods illustrated in fig. 1.
The processing component 502 may include one or more processors executing computer instructions to perform all or part of the steps of the method described above. Of course, the processing elements may also be implemented as one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components configured to perform the image labeling methods provided by the above-described embodiments.
The storage component 501 is configured to store various types of data to support operations at the terminal. The memory components may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
Of course, a computing device may also necessarily include other components, such as input/output interfaces, communication components, and so forth. The input/output interface provides an interface between the processing components and peripheral interface modules, which may be output devices, input devices, etc. The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, and the like.
In addition, an embodiment of the present application also provides a computer-readable storage medium, where the storage medium may store one or more computer instructions, and when the one or more computer instructions are executed, the information processing method shown in fig. 1 in the embodiment of the present application is implemented.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described technical solutions and/or portions thereof that contribute to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein (including but not limited to disk storage, CD-ROM, optical storage, etc.).
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. An information processing method characterized by comprising:
detecting an order service request triggered by a merchant user aiming at any household order, and acquiring service content information provided by the merchant user;
detecting an order evaluation request triggered by a demand user for the household order, and acquiring service evaluation information of the demand user for household service provided by the merchant user;
and generating target evaluation information of the home service order according to the service content information and the service evaluation information.
2. The method of claim 1, further comprising:
generating reward resource information for the merchant user according to the target evaluation information of the household order;
outputting the reward resource information for the merchant user;
detecting a resource acquisition request initiated by the merchant user aiming at the reward resource information, and distributing the reward resource information to a merchant account of the merchant user.
3. The method according to claim 1, wherein the detecting an order service request triggered by a merchant user for any household order, and the obtaining service content information provided by the merchant user comprises:
detecting a first card-punching request triggered by the merchant user for any household order, and confirming that the working state of the merchant user is a service state;
and when the merchant user is in a working service state, detecting service content information provided by the merchant user.
4. The method of claim 3, wherein detecting a card-punch request triggered by the merchant user for any of the domestic orders, after confirming that the merchant user enters a working service state, further comprises:
and detecting a second card punching request triggered by the merchant user for the household order, and determining that the working state of the merchant user is switched from the service state to an end state.
5. The method of claim 1, wherein the service content information comprises: content sub-information respectively set by the merchant user aiming at least one service parameter; the information type of any content sub-information comprises one or more of a character type, an image type, a voice type and a video type;
the service evaluation information comprises evaluation sub-information which is set by the demand user aiming at the at least one service parameter respectively; the information types of any one of the evaluation sub information include: one or more of a text type, an image type, a voice type, and a video type.
6. The method of claim 5, wherein generating target rating information for the domestic order according to the service content information and the service rating information comprises:
determining a service analysis result of the service parameter according to the evaluation sub-information and the content sub-information respectively corresponding to any service parameter so as to obtain a service analysis result respectively corresponding to the at least one service parameter;
and determining target evaluation information of the household order based on the service analysis result of the at least one service parameter pair.
7. The method of claim 6, wherein the service analysis result of any one of the service parameters is determined by:
aiming at any service parameter, judging that the evaluation sub-information and the content sub-information corresponding to the service parameter meet the information similarity condition;
if so, determining a service analysis result of the service parameter according to the evaluation sub-information or the content sub-information corresponding to the service parameter;
and if not, performing evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameters to obtain service analysis results of the service parameters.
8. The method of claim 7, further comprising:
acquiring a target service parameter of the at least one service parameter, wherein the evaluation sub-information and the content sub-information do not meet the information similarity condition;
converting the evaluation sub-information and the content sub-information of the target service parameters into target demand information of the demand user according to the information weight;
generating target recommendation information for the demand users based on the target demand information of the demand users;
and generating target recommendation information for the demand user.
9. The method according to claim 7, wherein if not, performing evaluation weighting processing according to the evaluation sub-information and the content sub-information corresponding to the service parameter, and obtaining the service analysis result of the service parameter comprises:
if not, generating a primary label for the demand user and generating a secondary label for the service user; wherein the weight coefficient of the primary label is higher than the weight coefficient of the secondary label;
scoring the evaluation subdata and the content subdata of the service parameters to obtain an evaluation score and a content score;
and performing evaluation weighting processing on the evaluation scores and the content scores according to the weight coefficients corresponding to the primary labels and the weight coefficients corresponding to the secondary labels to obtain the service scores of the service parameters.
10. An information processing apparatus characterized by comprising:
the system comprises a first detection module, a second detection module and a third detection module, wherein the first detection module is used for detecting an order service request triggered by a merchant user aiming at any household order and acquiring service content information provided by the merchant user;
the second detection module is used for detecting an order evaluation request triggered by a demand user for the household order and acquiring service evaluation information of the demand user on household service provided by the merchant user;
and the order evaluation module is used for generating target evaluation information of the housekeeping service order according to the service content information and the service evaluation information.
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