CN116228446A - Method, device, computer equipment and storage medium for processing offer business - Google Patents
Method, device, computer equipment and storage medium for processing offer business Download PDFInfo
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Abstract
The present application relates to an offer service processing method, apparatus, computer device, storage medium and computer program product. The method comprises the following steps: acquiring an offer object identifier and offer object behavior data; identifying an offer object type according to the offer object behavior data; based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result; generating offer business data according to the offer object behavior data; and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data. When the whole scheme is communicated with a user, the type of the offer object is firstly determined, a corresponding offer service processing node is allocated for the offer object, the offer is established between the offer service processing node and the offer object, the offer service processing node can be directly contacted with the offer object, and the processing efficiency of the offer service is improved.
Description
Technical Field
The present application relates to the field of big data technologies, and in particular, to an offer service processing method, an offer service processing apparatus, a computer device, a storage medium, and a computer program product.
Background
With the development of computer technology and the progress of communication equipment, communication between people is not limited off-line any more, people can directly communicate with friends on line, and enterprises can also directly communicate with clients based on communication software.
At present, enterprises carry out information transmission on clients through various communication channels, such as sending information in modes of short messages, mails, weChat and the like. In the scenario of directly sending content, when an enterprise wants to communicate with a client, connection needs to be established with the client, and before a connection relation is established, the enterprise needs to be firstly invited with the client, and when a large number of users exist, each user needs to be sequentially invited.
Thus, current offer processing methods are inefficient.
Disclosure of Invention
Based on this, it is necessary to provide an efficient offer service processing method, apparatus, computer device, computer readable storage medium and computer program product for solving the technical problem of low efficiency of the current offer processing.
In a first aspect, the present application provides a method for processing an offer service. The method comprises the following steps:
acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
generating offer business data according to the offer object behavior data;
and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data.
In one embodiment, issuing the offer service data to the corresponding offer service processing node based on the matching result comprises: acquiring historical offer data of an offer service processing node; generating an offer schedule according to the historical offer data; and issuing the offer service data and the offer schedule to the corresponding offer service processing nodes based on the matching result.
In one embodiment, generating the offer schedule from the historical offer data includes: according to the history offer records, determining the history offer times; determining the current invited times according to the historical invited times and a preset invited times threshold; determining the current offer frequency according to the current invited times; an offer schedule is generated based on the current number of invitees and the current offer frequency.
In one embodiment, obtaining the offer object identification, and the offer object behavior data, comprises: acquiring user access data; and acquiring the identity of the offer object and the behavior data of the offer object according to the access data of the user.
In one embodiment, obtaining user access data includes: responding to a telephone access request of a user, and acquiring telephone access data of the user;
based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming the user's offer intent based on the phone access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the telephone access record corresponding to the user identification is determined to be offer object behavior data.
In one embodiment, obtaining user access data includes: responding to a user access browsing request, and identifying a target object accessed by the user for browsing; acquiring historical access data of a user to a target object;
based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming a user offer intent based on the historical access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the historical access data corresponding to the user identification is determined to be offer object behavior data.
In a second aspect, the application further provides an offer service processing device. The device comprises:
the acquisition module is used for acquiring the identity of the offer object and the behavior data of the offer object;
the identification module is used for identifying the type of the invited object according to the behavior data of the invited object;
the matching module is used for matching the offer service processing nodes corresponding to different offer objects based on the types of the offer objects to obtain a matching result;
the generation module is used for generating the offer business data according to the offer object behavior data;
and the issuing module is used for issuing the offer service data to the corresponding offer service processing node based on the matching result, and the offer service processing node sends an offer request to the offer object according to the received offer service data.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
Generating offer business data according to the offer object behavior data;
and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
generating offer business data according to the offer object behavior data;
and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:
Acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
generating offer business data according to the offer object behavior data;
and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data.
The method, the device, the computer equipment, the storage medium and the computer program product for processing the offer business acquire the identity of the offer object and the behavior data of the offer object; identifying an offer object type according to the offer object behavior data; based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result; generating offer business data according to the offer object behavior data; and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data. When the whole scheme is communicated with a user, the type of the offer object is firstly determined, a corresponding offer service processing node is allocated for the offer object, the offer is established between the offer service processing node and the offer object, the offer service processing node can be directly contacted with the offer object, and the processing efficiency of the offer service is improved.
Drawings
In order to more clearly illustrate the technical solutions of embodiments or conventional techniques of the present application, the drawings required for the descriptions of the embodiments or conventional techniques will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is an application environment diagram of an offer business processing method in one embodiment;
FIG. 2 is a flow diagram of a method of processing an offer service in one embodiment;
FIG. 3 is a flow chart of a method of processing an offer service in another embodiment;
FIG. 4 is a flow chart of a method of processing an offer service in yet another embodiment;
FIG. 5 is a block diagram of an offer service processing apparatus in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The offer object information (including but not limited to offer object identification, offer object behavior data, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are both information and data authorized by the user or sufficiently authorized by the parties.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The offer service processing method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 sends an offer service processing request to the server 104, and the server listens to and responds to the offer service processing request of the terminal 102 to acquire an offer object identifier and offer object behavior data; identifying an offer object type according to the offer object behavior data; based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result; generating offer business data according to the offer object behavior data; and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, an offer service processing method is provided, which is illustrated by taking the application of the method to the server 104 in fig. 1 as an example, and includes the following steps:
The method comprises the steps that an offer object refers to a user needing to be offered, the offer object can be an employee, a user and the like of an enterprise, the offer object identification refers to a unique identification of the offer object, and the unique offer object can be directly determined according to the offer object identification. For example, if the offer object is a user of the enterprise, the offer object is identified as a user identifier, and a unique user can be obtained according to the user identifier. The offer object behavior data refers to behavior data generated by interaction of the offer object with a target object, wherein the target object comprises an application, a public number, a website and other communication media related to an enterprise. The offer object behavior data includes access data, operation data, login data, consumption data, communication data, and the like, which is not limited herein.
Specifically, the server acquires a plurality of target objects related to the enterprise, acquires user information interacted with the target objects, performs offer intention analysis on the user information, determines the user as an offer object when determining that the user agrees to offer, acquires an offer object identifier, and acquires offer object behavior data generated by interaction of the offer object and the target objects according to the offer object identifier. Further, the server may also directly obtain registered user information from the enterprise system, perform an offer intention analysis on the user information, determine the user as an offer object when determining that the user agrees to offer, obtain an offer object identifier, and obtain offer object behavior data generated by interaction of the offer object with the target object according to the offer object identifier.
Wherein the offer object type includes a personal priority type, a tag hit type, a random allocation type, or a sequential allocation type. The personal preference type identifies that the offer object is ranked higher. The label hit type indicates that the offer object hits a certain label, the label comprises a price appeal label, a preferential appeal label, a grade label and the like, and the server can set different types of labels according to service requirements to distinguish the requirements of different offer objects, for example, the label can also comprise a limit label and the like. If the offer object is not of the personal priority type and the tag hit type, determining the offer object
Specifically, the server acquires an offer object type judgment rule and offer object behavior data, and determines an offer object type according to the offer object type judgment rule. Further, when the server acquires the offer object resource data from the offer object behavior data, and when the offer object resource data is higher than a preset resource threshold, the offer object is determined to be of a personal priority type. For example, in a financial enterprise, the offer object resource data may be offer object asset data, and when the offer object resource data is above a preset resource threshold, the offer object is a high-prioritised asset user, and the offer object is determined to be of a personal priority type.
The offer object type judging rule comprises a label hit rule, the server acquires the label hit rule, and determines that the offer object is of a label hit type according to the label hit rule and the behavior data of the offer object, and if the offer object behavior data accords with any one of the label hit rules. Further, when the price appeal times in the offer object behavior data are larger than a preset price appeal quantity threshold value, determining that the offer object is of a price appeal label type; when the number of the preferential appeal times in the behavior data of the invited objects is larger than a preset preferential appeal number threshold, determining that the invited objects are of a preferential appeal label type; when the offer object resource data is below a preset resource threshold, then the offer object is determined to be of the class label type. If the offer object does not conform to the personal priority type and the tag hit type, the offer object is determined to be of a random allocation type or a sequential allocation type.
Wherein, corresponding to the type of the offer object, the offer service processing node also comprises a personal priority type, a tag hit type, a random allocation type or a sequential allocation type. The offer object service processing node refers to a manager specially responsible for an offer service, such as a customer manager, or the like, specially responsible for communicating with a user.
Specifically, the server obtains the type of the offer service processing node corresponding to the type of the offer object based on the type of the offer object, obtains the identity of the offer service processing node of the type of the offer service processing node, and stores the identity of the offer object in association with the identity of the offer service processing node to obtain a matching result. If the server judges that the offer object is of a personal priority type, acquiring an offer service processing node identifier of the personal priority type, and storing the offer object identifier and the offer service processing node identifier in a correlated manner to obtain a matching result; if the server judges that the offer object is of a label hit type, acquiring an offer service processing node identifier of the label hit type, and storing the offer object identifier and the offer service processing node identifier in a correlated manner to obtain a matching result; if the server judges that the offer object is of a random allocation type, randomly allocating an offer service processing node identifier, and storing the offer object identifier and the offer service processing node identifier in a correlated manner to obtain a matching result; if the server judges that the offer objects are of the sequential allocation type, sequentially acquiring the identifiers of the offer service processing nodes according to the sequence of the offer service processing nodes, and storing the identifiers of the offer objects and the identifiers of the offer service processing nodes in an associated mode to obtain a matching result. The server may also count all offer object identifications and matching offer service processing node identifications to generate a matching result list.
Wherein the offer business data includes an offer object identification and an offer channel.
Specifically, the server determines the access type of the offer object according to the offer object behavior data, and generates offer business data according to the access type. Further, a communication channel between the offer object and the enterprise can be determined according to the access type, and the offer business data is generated according to the communication channel. The communication channels include telephone communication, app communication, public number communication, link communication, web page communication, and the like, and the embodiments of the present application are not limited thereto.
Specifically, the server sends the offer service data to the offer service processing node according to the matching result, and then the offer service processing node sends an offer request to the offer object through the offer channel according to the received offer service data.
In the method for processing the offer service, an offer object identifier and offer object behavior data are obtained; identifying an offer object type according to the offer object behavior data; based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result; generating offer business data according to the offer object behavior data; and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data. When the whole scheme is communicated with a user, the type of the offer object is firstly determined, a corresponding offer service processing node is allocated for the offer object, the offer is established between the offer service processing node and the offer object, the offer service processing node can be directly contacted with the offer object, and the processing efficiency of the offer service is improved.
In an alternative embodiment, as shown in fig. 3, issuing the offer service data to the corresponding offer service processing node based on the matching result includes:
The historical offer data refers to the historical offer times of the offer business processing nodes and the offer success rate.
Specifically, the server obtains historical offer data of the offer service processing node from the offer record database according to the identity of the offer service processing node. The historical offer records of all the offer service processing nodes are recorded in the offer record database.
Specifically, the server analyzes the offers according to the historical offer records of the offer service processing nodes, determines the offer state information of the offer service processing nodes, and generates an offer schedule according to the offer state information. The server may generate an offer schedule for each offer service processing node based on the offer service data for that offer service processing node.
Specifically, the server extracts all the offer service data and the offer schedule corresponding to each offer service processing node identifier from the matching result according to the offer service processing node identifiers, and sends the all the offer service data and the offer schedule to the offer service processing node.
In this embodiment, an offer schedule is generated based on historical offer data, and the historical offer information of the offer service processing node is comprehensively considered, so that a more accurate offer schedule is obtained, and the offer efficiency and success rate are improved.
In an alternative embodiment, generating the offer schedule from the historical offer data includes: according to the history offer records, determining the history offer times; determining the current invited times according to the historical invited times and a preset invited times threshold; determining the current offer frequency according to the current invited times; an offer schedule is generated based on the current number of invitees and the current offer frequency.
Specifically, the server counts the historical offer times of each offer service processing node according to the identification of the offer service processing node from the historical offer records, then obtains a preset offer times threshold, and calculates according to the historical offer times and the preset offer times threshold to obtain the current inviteable times. And finally, acquiring the offer service data of the offer service processing node based on the current offer times and the offer frequencies, sequentially matching the offer time of each offer service, and carrying out the offer between two adjacent offer service data according to the current offer frequencies.
In one possible embodiment, the historical number of times of the offer may be the number of times of the offer per day, the preset threshold of the number of times of the offer is the upper limit of the number of times of the offer per day, the preset threshold of the number of times of the offer is subtracted from the historical number of times of the offer to obtain the current number of times of the offer, and then the period of the offer is the remaining time of the offer on the same day, and the current frequency of the offer is obtained by dividing the remaining time of the offer on the same day by the current number of times of the offer.
In another possible embodiment, the historical offer number is an average value of offer numbers in a preset historical time, the preset offer number threshold is an upper limit value of offer numbers in each day, the preset offer number threshold can be adaptively adjusted according to the historical offer number, the preset offer number threshold in each day is adaptively adjusted based on an adaptive adjustment algorithm, then the offer time interval can also be adaptively adjusted according to the historical offer number, the offer time can be analyzed according to the offer object behavior data, the offer object active time is determined, and then the initiation time of the offer service is determined according to the offer object active time.
In the implementation, the current offer times and the current offer frequency are determined based on the historical offer times, the offer service time which is more matched with the offer object behavior data can be obtained, the success rate of the offer service is further improved,
In an alternative embodiment, obtaining the offer object identification, and the offer object behavior data, comprises: acquiring user access data; and acquiring the identity of the offer object and the behavior data of the offer object according to the access data of the user.
Specifically, the server obtains the registered user identification and user access data generated by the interaction of the user with the target object of the enterprise. And then carrying out the offer intention analysis according to the user access data, when the offer intention of the user is agreeing to the offer, determining that the user is an offer object, using the user identification as the offer object identification, and using the user access data as the offer object behavior data.
In this embodiment, the user access data is analyzed, so that the user offer intention can be accurately analyzed, and further accurate offer object identification and offer object behavior data are obtained.
In an alternative embodiment, obtaining user access data includes: responding to a telephone access request of a user, and acquiring telephone access data of the user;
based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming the user's offer intent based on the phone access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the telephone access record corresponding to the user identification is determined to be offer object behavior data.
The user access data comprise telephone access data, wherein the telephone access data comprise information such as incoming call user identification, incoming call appeal information, offer intention and the like, and the telephone access data are submitted in an enterprise system after the incoming call of the user is answered by an enterprise seat member. The offer intent information may be tagged with an identifier.
Specifically, the server acquires user telephone access data, extracts user offer intention from the telephone access data, then judges whether the user offer intention is an agreement offer, and when the user offer intention information is consistent with a marker agreeing to the offer intention, indicates agreement to the offer, at the moment, determines the user as an offer object, determines a user identifier corresponding to the user as an offer object identifier, and determines a telephone access record corresponding to the user identifier as offer object behavior data.
In the implementation, the user incoming call is used for determining the offer intention of the user, so that the offer object can be accurately locked, and the success rate of the offer service is improved.
In an alternative embodiment, obtaining user access data includes: responding to a user access browsing request, and identifying a target object accessed by the user for browsing; acquiring historical access data of a user to a target object;
Based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming a user offer intent based on the historical access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the historical access data corresponding to the user identification is determined to be offer object behavior data.
Wherein the user access data includes historical access data of the user accessing the browsing target object. The target object refers to an application, a public number, a website, and the like of the enterprise, and is related to communication media of the enterprise. The history access data includes login data, demand data, access data, and the like, the login data includes login times, login durations, and the like, and the demand data includes a proposal demand, a preferential demand, a price demand, a proprietary demand, and the like. The access data includes the number of applications software accesses, the number of public numbers accessed, the number of article links accessed, etc.
Specifically, the server monitors and responds to an access browsing request of a user, determines a target object according to a path of the access browsing request, and then acquires historical access data of the user to the target object. Acquiring login data, appeal data and access data in historical access data, comparing the login data with a preset login data judgment rule, and judging that the user offer intention is an agreement offer when the login times exceed the preset login times or the login time exceeds the preset accumulated time; when the user has a rated demand, a preferential demand, a price demand and a special demand, determining the user's offer intention as an agreement offer; when the user has price-related appeal, determining that the user's offer intention is a consent offer; when the user has the exclusive appeal, judging that the user offer intention is the agreeing offer, wherein the exclusive appeal characterizes that the user needs exclusive customer service to communicate; when the access times of the user exceed the preset access times threshold, the user offer intention is judged to be agreeing to the offer. At this time, the user is determined as an offer object, the user identification corresponding to the user is determined as an offer object identification, and the historical access data corresponding to the user identification is determined as offer object behavior data.
In this embodiment, the user's offer intention is determined by historical access data of the user to a plurality of target objects, so that the user can be determined at multiple latitudes, and the accuracy of the offer and the success rate of the offer service are improved.
In order to easily understand the technical solution provided in the embodiments of the present application, as shown in fig. 4, a complete offer service processing procedure is used to briefly describe the offer service processing method provided in the embodiments of the present application:
(1) Responding to a telephone access request of a user, and acquiring telephone access data of the user; confirming the user's offer intent based on the phone access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the telephone access record corresponding to the user identification is determined to be offer object behavior data.
(2) Responding to a user access browsing request, and identifying a target object accessed by the user for browsing; acquiring historical access data of a user to a target object; confirming a user offer intent based on the historical access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the historical access data corresponding to the user identification is determined to be offer object behavior data.
(3) Based on the offer object behavioral data, an offer object type is identified.
(4) Based on the types of the offer objects, the offer business processing nodes corresponding to different offer objects are matched, and a matching result is obtained.
(5) And generating the offer business data according to the offer object behavior data.
(6) Historical offer data of the offer service processing node is obtained.
(7) According to the history offer records, determining the history offer times; determining the current invited times according to the historical invited times and a preset invited times threshold; determining the current offer frequency according to the current invited times; an offer schedule is generated based on the current number of invitees and the current offer frequency.
(8) And issuing the offer service data and the offer schedule to the corresponding offer service processing nodes based on the matching result.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides an offer service processing device for realizing the above mentioned offer service processing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the one or more offer service processing devices provided below may be referred to the limitation of the offer service processing method hereinabove, and will not be described herein.
In one embodiment, as shown in fig. 5, there is provided an offer service processing apparatus including: an acquisition module 502, an identification module 504, a matching module 506, a generation module 508, and a delivery module 510, wherein:
an obtaining module 502, configured to obtain an offer object identifier and offer object behavior data;
an identification module 504 for identifying an offer object type based on the offer object behavior data;
a matching module 506, configured to match the offer service processing nodes corresponding to different offer objects based on the offer object types, to obtain a matching result;
a generating module 508, configured to generate offer service data according to the offer object behavior data;
and the issuing module 510 is configured to issue the offer service data to the corresponding offer service processing node based on the matching result, and the offer service processing node sends an offer request to the offer object according to the received offer service data.
In one embodiment, the matching module 506 is further configured to obtain historical offer data of the offer service processing node; generating an offer schedule according to the historical offer data; and issuing the offer service data and the offer schedule to the corresponding offer service processing nodes based on the matching result.
In one embodiment, the matching module 506 is further configured to determine a historical offer number based on the historical offer record; determining the current invited times according to the historical invited times and a preset invited times threshold; determining the current offer frequency according to the current invited times; an offer schedule is generated based on the current number of invitees and the current offer frequency.
In one embodiment, the obtaining module 502 is further configured to obtain user access data; and acquiring the identity of the offer object and the behavior data of the offer object according to the access data of the user.
In one embodiment, the obtaining module 502 is further configured to obtain phone access data of the user in response to a phone access request of the user; confirming the user's offer intent based on the phone access data; when the user's offer intention represents agreement offer, the user is confirmed as an offer object, the user identification corresponding to the user is determined as an offer object identification, and the telephone access record corresponding to the user identification is determined as offer object behavior data.
In one embodiment, the obtaining module 502 is further configured to identify a target object accessed by the user for browsing in response to the user accessing the browsing request; acquiring historical access data of a user to a target object; confirming a user offer intent based on the historical access data; when the user's offer intention represents agreement offer, the user is confirmed as an offer object, the user identification corresponding to the user is confirmed as an offer object identification, and the historical access data corresponding to the user identification is confirmed as offer object behavior data.
The various modules in the offer service processing apparatus described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing offer object behavior data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements an offer service processing method.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
generating offer business data according to the offer object behavior data;
and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data.
In one embodiment, the processor when executing the computer program further performs the steps of: issuing the offer service data to the corresponding offer service processing node based on the matching result comprises: acquiring historical offer data of an offer service processing node; generating an offer schedule according to the historical offer data; and issuing the offer service data and the offer schedule to the corresponding offer service processing nodes based on the matching result.
In one embodiment, the processor when executing the computer program further performs the steps of: generating an offer schedule from the historical offer data includes: according to the history offer records, determining the history offer times; determining the current invited times according to the historical invited times and a preset invited times threshold; determining the current offer frequency according to the current invited times; an offer schedule is generated based on the current number of invitees and the current offer frequency.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring the offer object identification, and the offer object behavior data includes: acquiring user access data; and acquiring the identity of the offer object and the behavior data of the offer object according to the access data of the user.
In one embodiment, the processor when executing the computer program further performs the steps of: the obtaining of the user access data comprises: responding to a telephone access request of a user, and acquiring telephone access data of the user; based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming the user's offer intent based on the phone access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the telephone access record corresponding to the user identification is determined to be offer object behavior data.
In one embodiment, the processor when executing the computer program further performs the steps of: the obtaining of the user access data comprises: responding to a user access browsing request, and identifying a target object accessed by the user for browsing; acquiring historical access data of a user to a target object; based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming a user offer intent based on the historical access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the historical access data corresponding to the user identification is determined to be offer object behavior data.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
generating offer business data according to the offer object behavior data;
And transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data.
In one embodiment, the computer program when executed by the processor further performs the steps of: issuing the offer service data to the corresponding offer service processing node based on the matching result comprises: acquiring historical offer data of an offer service processing node; generating an offer schedule according to the historical offer data; and issuing the offer service data and the offer schedule to the corresponding offer service processing nodes based on the matching result.
In one embodiment, the computer program when executed by the processor further performs the steps of: generating an offer schedule from the historical offer data includes: according to the history offer records, determining the history offer times; determining the current invited times according to the historical invited times and a preset invited times threshold; determining the current offer frequency according to the current invited times; an offer schedule is generated based on the current number of invitees and the current offer frequency.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the offer object identification, and the offer object behavior data includes: acquiring user access data; and acquiring the identity of the offer object and the behavior data of the offer object according to the access data of the user.
In one embodiment, the computer program when executed by the processor further performs the steps of: the obtaining of the user access data comprises: responding to a telephone access request of a user, and acquiring telephone access data of the user; based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming the user's offer intent based on the phone access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the telephone access record corresponding to the user identification is determined to be offer object behavior data.
In one embodiment, the computer program when executed by the processor further performs the steps of: the obtaining of the user access data comprises: responding to a user access browsing request, and identifying a target object accessed by the user for browsing; acquiring historical access data of a user to a target object; based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming a user offer intent based on the historical access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the historical access data corresponding to the user identification is determined to be offer object behavior data.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
generating offer business data according to the offer object behavior data;
and transmitting the offer service data to the corresponding offer service processing node based on the matching result, and transmitting the offer request to the offer object by the offer service processing node according to the received offer service data.
In one embodiment, the computer program when executed by the processor further performs the steps of: issuing the offer service data to the corresponding offer service processing node based on the matching result comprises: acquiring historical offer data of an offer service processing node; generating an offer schedule according to the historical offer data; and issuing the offer service data and the offer schedule to the corresponding offer service processing nodes based on the matching result.
In one embodiment, the computer program when executed by the processor further performs the steps of: generating an offer schedule from the historical offer data includes: according to the history offer records, determining the history offer times; determining the current invited times according to the historical invited times and a preset invited times threshold; determining the current offer frequency according to the current invited times; an offer schedule is generated based on the current number of invitees and the current offer frequency.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the offer object identification, and the offer object behavior data includes: acquiring user access data; and acquiring the identity of the offer object and the behavior data of the offer object according to the access data of the user.
In one embodiment, the computer program when executed by the processor further performs the steps of: the obtaining of the user access data comprises: responding to a telephone access request of a user, and acquiring telephone access data of the user; based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming the user's offer intent based on the phone access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the telephone access record corresponding to the user identification is determined to be offer object behavior data.
In one embodiment, the computer program when executed by the processor further performs the steps of: the obtaining of the user access data comprises: responding to a user access browsing request, and identifying a target object accessed by the user for browsing; acquiring historical access data of a user to a target object; based on this, according to the user access data, obtaining the offer object identification and the offer object behavior data includes: confirming a user offer intent based on the historical access data; when the user's offer intention characterizes agreeing to the offer, the user is determined to be an offer object, the user identification corresponding to the user is determined to be an offer object identification, and the historical access data corresponding to the user identification is determined to be offer object behavior data.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method of offer business processing, the method comprising:
acquiring an offer object identifier and offer object behavior data;
identifying an offer object type according to the offer object behavior data;
based on the types of the offer objects, matching the offer service processing nodes corresponding to different offer objects to obtain a matching result;
generating offer business data according to the offer object behavior data;
And based on the matching result, transmitting the offer service data to a corresponding offer service processing node, and transmitting an offer request to an offer object by the offer service processing node according to the received offer service data.
2. The method of claim 1, wherein the issuing the offer business data to the corresponding offer business processing node based on the matching result comprises:
acquiring historical offer data of the offer service processing node;
generating an offer schedule according to the historical offer data;
and issuing the offer service data and the offer schedule to corresponding offer service processing nodes based on the matching result.
3. The method of claim 2, wherein the generating an offer schedule from the historical offer data comprises:
according to the history offer record, determining the history offer times;
determining the current invited times according to the historical invited times and a preset invited times threshold;
determining the current offer frequency according to the current invited times;
and generating an offer schedule according to the current invited times and the current offer frequency.
4. The method of claim 1, wherein the obtaining the offer object identification, and the offer object behavior data comprises:
acquiring user access data;
and acquiring the identity of the offer object and the behavior data of the offer object according to the access data of the user.
5. The method of claim 4, wherein the obtaining user access data comprises:
responding to a telephone access request of a user, and acquiring telephone access data of the user;
the step of obtaining the offer object identification and the offer object behavior data according to the user access data comprises the following steps:
confirming a user offer intent based on the telephone access data;
when the user offer intention characterizes agreeing to the offer, determining the user as an offer object, determining a user identification corresponding to the user as an offer object identification, and determining a telephone access record corresponding to the user identification as offer object behavior data.
6. The method of claim 4, wherein the obtaining user access data comprises:
responding to a user access browsing request, and identifying a target object accessed by the user for browsing;
acquiring historical access data of a user to the target object;
The step of obtaining the offer object identification and the offer object behavior data according to the user access data comprises the following steps:
confirming a user offer intent based on the historical access data;
when the user offer intention characterizes agreeing to the offer, determining the user as an offer object, determining a user identification corresponding to the user as an offer object identification, and determining historical access data corresponding to the user identification as offer object behavior data.
7. An offer service processing apparatus, the apparatus comprising:
the acquisition module is used for acquiring the identity of the offer object and the behavior data of the offer object;
the identification module is used for identifying the type of the offer object according to the offer object behavior data;
the matching module is used for matching the offer service processing nodes corresponding to different offer objects based on the offer object types to obtain a matching result;
the generation module is used for generating the offer business data according to the offer object behavior data;
and the issuing module is used for issuing the offer service data to the corresponding offer service processing node based on the matching result, and the offer service processing node sends an offer request to an offer object according to the received offer service data.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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| CN202211534168.1A CN116228446A (en) | 2022-12-02 | 2022-12-02 | Method, device, computer equipment and storage medium for processing offer business |
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| CN202211534168.1A CN116228446A (en) | 2022-12-02 | 2022-12-02 | Method, device, computer equipment and storage medium for processing offer business |
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Country or region after: China Address after: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Applicant after: Zhaolian Consumer Finance Co.,Ltd. Address before: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Applicant before: MERCHANTS UNION CONSUMER FINANCE Co.,Ltd. Country or region before: China |