Salesperson adaptation method and device for solitary users and computer equipment

Abstract

The invention relates to a salesman adaptation method and device for a solitary user and computer equipment. The method comprises the following steps: acquiring user information of each solitary user and sales personnel information of each regional company, identifying user attribute information and user activity region information of each solitary user, and sales attribute information and sales personnel adaptive region information of each sales personnel of each regional company, and for each solitary user, selecting a solitary list from the solitary list; through a regional division network, identifying each initial salesman adapted to the solitary user; based on the sales attribute information of the historical sales personnel to which the solitary user belongs and the sales attribute information of the initial sales personnel, the sales adaptation degree of each initial sales personnel is identified, the association adaptation degree between each initial sales personnel and the solitary user is identified through an attribute adaptation network, and the association adaptation degree between each initial sales personnel and the solitary user is identified in each initial sales personnel; and screening target sales personnel adapted to the solitary users. By adopting the method, the user experience effect of sales personnel distribution of the solitary users can be improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent allocation technology, and in particular to a salesperson adaptation method, device and computer equipment for lone users. Background Art

[0002] With the development of big data, cloud computing and GIS technology, the market demand for accurate and efficient user management and services is growing. With the changes in sales personnel and user needs, lonely user resources have gradually become a resource that can be mined in insurance policy resources and cannot be ignored. How to manage lonely user resources in smart regions and automate user allocation, thereby improving the user experience of lonely users and mining more insurance policy resources is one of the research focuses in this field.

[0003] The traditional way of allocating lonely users is through traditional user relationship management systems, which usually rely on manual user allocation and regional management. However, the matching degree between manually assigned users and sales personnel is not necessarily accurate, and the user's recognition of the sales personnel and the sales personnel's resource mining degree of the user cannot be determined, resulting in a poor user experience for sales personnel assigned to lonely users. Summary of the invention

[0004] Based on this, it is necessary to provide a sales staff adaptation method, device, computer equipment, computer-readable storage medium and computer program product for lonely users in response to the above technical problems.

[0005] In a first aspect, the present application provides a salesperson adaptation method for a lonely user, comprising:

[0006] Acquire user information of each lone user and salesperson information of each regional company, and identify user attribute information of each lone user and user activity area information of each lone user based on the user information of each lone user;

[0007] Based on the salesperson information of each of the regional companies, the sales attribute information of each of the salespersons of each of the regional companies and the salesperson adaptation area information of each of the salespersons of each of the regional companies are identified, and for each lone user, based on the activity area information of the lone user and the salesperson adaptation area information of each of the salespersons of each of the regional companies, the initial salespersons adapted to the lone user are identified through the regional division network;

[0008] Based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson adapted to the lonely user, the sales adaptability of each initial salesperson is identified, and based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson, the attribute adaptation network is used to identify the associated adaptability between each initial salesperson and the lonely user;

[0009] Based on the sales suitability of each of the initial sales personnel and the association suitability between each of the initial sales personnel and the lonely user, a target sales personnel suitable for the lonely user is screened from among the initial sales personnel.

[0010] Optionally, the identifying, based on the user information of each of the lonely users, user attribute information of each of the lonely users and user activity area information of each of the lonely users includes:

[0011] For each lonely user, splitting the user information of the lonely user into user identity information of the lonely user and user movement track information of the lonely user, and identifying attribute data of each user attribute type of the lonely user based on the user identity information of the lonely user;

[0012] Using the attribute data of each user attribute type of the lonely user as the user attribute information of the lonely user, and based on the user movement trajectory information of the lonely user, generating an activity heat distribution map of the lonely user through a trajectory area generation strategy;

[0013] The activity heat distribution map of the lonely user is used as the user activity area information of the lonely user.

[0014] Optionally, the identifying each initial salesperson adapted for the lone user by dividing the network into regions based on the activity area information of the lone user and the salesperson adaptation area information of each salesperson of each regional company includes:

[0015] Based on the user activity area information of the lone user, a target activity area range greater than an activity frequency threshold is screened, and in the area ranges managed by the regional companies, companies corresponding to the regional ranges covered by the target activity area range are screened as target regional companies;

[0016] Based on the sales staff adaptation area information of each sales staff of each target area company, the sub-region range managed by each sales staff is identified, and based on the user activity area information of the lone user and the sub-region range managed by each sales staff, the initial sales staff adapted for the lone user are identified through the regional division network.

[0017] Optionally, the identifying the sales suitability of each initial salesperson based on the sales attribute information of the historical salesperson to which the lone user belongs and the sales attribute information of each initial salesperson to whom the lone user is adapted includes:

[0018] Based on the sales attribute information of each of the initial sales personnel and the sales attribute information of the historical sales personnel, identifying the capability label data of each of the initial sales personnel in each service capability label and the historical capability label data of the historical sales personnel in each service capability label;

[0019] For each service capability label, based on the capability label data of each initial salesperson corresponding to the service capability label and the historical capability label data of the historical salesperson corresponding to the service capability label, the service similarity between each initial salesperson and the historical salesperson in the service capability label is calculated by a similarity recognition algorithm;

[0020] Based on the service similarity between each initial salesperson and the historical salesperson in each service capability tag, the sales suitability of each initial salesperson is calculated.

[0021] Optionally, the attribute adaptation network based on the user attribute information of the lonely user and the sales attribute information of each of the initial sales personnel identifies the association fitness between each initial sales personnel and the lonely user, including:

[0022] Based on the user attribute information of the lonely user, identifying attribute label data of each user attribute label of the lonely user;

[0023] Through the tag matching strategy, identify the correspondence between each service capability tag and each user attribute tag;

[0024] Based on the capability label data of each initial salesperson in each service capability label, the attribute label data of each user attribute label of the lonely user, and the corresponding relationships, the association adaptation degree between each initial salesperson and the lonely user is identified through the attribute adaptation network.

[0025] Optionally, the step of screening a target salesperson suitable for the lone user from among the initial salespersons based on the sales suitability of the initial salespersons and the association suitability between the initial salespersons and the lone user includes:

[0026] Based on the sales suitability of each of the initial sales personnel, screening initial target sales personnel whose sales suitability is greater than a sales suitability threshold;

[0027] Based on the correlation and fitness between each of the initial target salespersons and the lonely user, the initial target salespersons are sorted to obtain a salesperson sequence, and a preset number of initial target salespersons are selected in order from the front to the back of the salesperson sequence as the first target salespersons adapted to the lonely user;

[0028] Based on the association fit between each first target salesperson and the lone user, identify the main associated service capability label between each first target salesperson and the lone user, and generate capability introduction information of each first target salesperson based on the capability label data of each main associated service capability label of each first target salesperson;

[0029] The sequence position information of each of the first target sales personnel in the sales personnel sequence and the capability introduction information of each of the first target sales personnel are sent to the user terminal of the lonely user, and in response to the user's personnel selection operation, the first target sales personnel screened by the lonely user from among the first target sales personnel are obtained as the target sales personnel adapted for the lonely user.

[0030] In a second aspect, the present application further provides a salesperson adaptation device for a lonely user, comprising:

[0031] an acquisition module, used to acquire user information of each lone user and salesperson information of each regional company, and identify user attribute information of each lone user and user activity area information of each lone user based on the user information of each lone user;

[0032] A division module, for identifying, based on the salesperson information of each of the regional companies, sales attribute information of each of the salespersons of each of the regional companies, and salesperson adaptation area information of each of the salespersons of each of the regional companies, and for each lone user, based on the activity area information of the lone user and the salesperson adaptation area information of each of the salespersons of each of the regional companies, identifying, through a regional division network, each initial salesperson adapted to the lone user;

[0033] an identification module, configured to identify the sales adaptability of each initial salesperson based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson adapted to the lonely user, and to identify the associated adaptability between each initial salesperson and the lonely user based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson and the attribute adaptation network;

[0034] A screening module is used to screen a target salesperson who is suitable for the lonely user from among the initial salespersons based on the sales suitability of each of the initial salespersons and the associated suitability between each of the initial salespersons and the lonely user.

[0035] Optionally, the acquisition module is specifically used to:

[0036] For each lonely user, splitting the user information of the lonely user into user identity information of the lonely user and user movement track information of the lonely user, and identifying attribute data of each user attribute type of the lonely user based on the user identity information of the lonely user;

[0037] Using the attribute data of each user attribute type of the lonely user as the user attribute information of the lonely user, and based on the user movement trajectory information of the lonely user, generating an activity heat distribution map of the lonely user through a trajectory area generation strategy;

[0038] The activity heat distribution map of the lonely user is used as the user activity area information of the lonely user.

[0039] Optionally, the division module is specifically used to:

[0040] Based on the user activity area information of the lone user, a target activity area range greater than an activity frequency threshold is screened, and in the area ranges managed by the regional companies, companies corresponding to the regional ranges covered by the target activity area range are screened as target regional companies;

[0041] Based on the sales staff adaptation area information of each sales staff of each target area company, the sub-region range managed by each sales staff is identified, and based on the user activity area information of the lone user and the sub-region range managed by each sales staff, the initial sales staff adapted for the lone user are identified through the regional division network.

[0042] Optionally, the identification module is specifically used to:

[0043] Based on the sales attribute information of each of the initial sales personnel and the sales attribute information of the historical sales personnel, identifying the capability label data of each of the initial sales personnel in each service capability label and the historical capability label data of the historical sales personnel in each service capability label;

[0044] For each service capability label, based on the capability label data of each initial salesperson corresponding to the service capability label and the historical capability label data of the historical salesperson corresponding to the service capability label, the service similarity between each initial salesperson and the historical salesperson in the service capability label is calculated by a similarity recognition algorithm;

[0045] Based on the service similarity between each initial salesperson and the historical salesperson in each service capability tag, the sales suitability of each initial salesperson is calculated.

[0046] Optionally, the identification module is specifically used to:

[0047] Based on the user attribute information of the lonely user, identifying attribute label data of each user attribute label of the lonely user;

[0048] Through the tag matching strategy, identify the correspondence between each service capability tag and each user attribute tag;

[0049] Based on the capability label data of each initial salesperson in each service capability label, the attribute label data of each user attribute label of the lonely user, and the corresponding relationships, the association adaptation degree between each initial salesperson and the lonely user is identified through the attribute adaptation network.

[0050] Optionally, the screening module is specifically used to:

[0051] Based on the sales suitability of each of the initial sales personnel, screening initial target sales personnel whose sales suitability is greater than a sales suitability threshold;

[0052] Based on the correlation and fitness between each of the initial target salespersons and the lonely user, the initial target salespersons are sorted to obtain a salesperson sequence, and a preset number of initial target salespersons are selected in order from the front to the back of the salesperson sequence as the first target salespersons adapted to the lonely user;

[0053] Based on the association fit between each first target salesperson and the lone user, identify the main associated service capability label between each first target salesperson and the lone user, and generate capability introduction information of each first target salesperson based on the capability label data of each main associated service capability label of each first target salesperson;

[0054] The sequence position information of each of the first target sales personnel in the sales personnel sequence and the capability introduction information of each of the first target sales personnel are sent to the user terminal of the lonely user, and in response to the user's personnel selection operation, the first target sales personnel screened by the lonely user from among the first target sales personnel are obtained as the target sales personnel adapted for the lonely user.

[0055] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0056] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0057] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0058] The above-mentioned salesperson adaptation method, device and computer equipment for lonely users obtain the user information of each lonely user and the salesperson information of each regional company, and identify the user attribute information of each lonely user and the user activity area information of each lonely user based on the user information of each lonely user; based on the salesperson information of each regional company, identify the sales attribute information of each salesperson of each regional company and the salesperson adaptation area information of each salesperson of each regional company, and for each lonely user, based on the user activity area information of the lonely user and the salesperson adaptation area information of each salesperson of each regional company, divide the lonely user into groups through regional division. network, identifying each initial salesperson adapted for the lonely user; based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson adapted for the lonely user, identifying the sales fitness of each initial salesperson, and based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson, an attribute adaptation network is used to identify the associated fitness between each initial salesperson and the lonely user; based on the sales fitness of each initial salesperson and the associated fitness between each initial salesperson and the lonely user, a target salesperson adapted for the lonely user is screened from among the initial salespersons. This solution intelligently analyzes the adaptation information between each lonely user and salesperson from three perspectives: attribute adaptation, regional adaptation, and salesperson adaptation, so as to comprehensively screen target salespersons for lonely users. For enterprises, it improves the accuracy and response speed of regional management, simplifies the regional authority management process, and improves the efficiency of regional customer management. In addition, by introducing user attribute tags and salesperson service tags, the system can more accurately match users with corresponding salespersons, thereby improving the adaptability of salespersons. For users, it can efficiently and accurately adapt to salespersons that meet user needs, thereby comprehensively improving the user experience of salesperson allocation for lonely users. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 A flow chart of a salesperson adaptation method for a lone user in one embodiment;

[0061] Figure 2A flowchart of a salesperson adaptation example for a lone user in one embodiment;

[0062] Figure 3 A structural block diagram of a salesperson adaptation device for a lone user in one embodiment;

[0063] Figure 4 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0065] The salesperson adaptation method for lonely users provided in the embodiment of the present application can be applied to the application environment of the salesperson adaptation of lonely users. Among them, the method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, medium-sized computers, etc. Among them, the terminal intelligently analyzes the adaptation information between each lonely user and the salesperson from three angles of attribute adaptation, regional adaptation, and salesperson adaptation, so as to comprehensively screen the target salesperson for the lonely user. For the enterprise, the accuracy and response speed of regional management are improved, the regional authority management process is simplified, and the efficiency of regional customer management is improved. By introducing user attribute tags and salesperson service tags, the system can more accurately match the salesperson corresponding to the user, thereby improving the adaptability of the salesperson. For users, it can be efficient and accurately adapt to salespersons who meet user needs, thereby comprehensively improving the user experience effect of the salesperson allocation to lonely users.

[0066] In an exemplary embodiment, Figure 1 As shown, a salesperson adaptation method for a lonely user is provided, and the method is applied to a terminal as an example for explanation, including the following steps S101 to S104. Among them:

[0067] Step S101, obtaining user information of each lonely user and salesperson information of each regional company, and identifying user attribute information of each lonely user and user activity area information of each lonely user based on the user information of each lonely user.

[0068] In this embodiment, the terminal queries the user information of each lone user in the user database, and queries the salesperson information of each regional company in the salesperson database. Among them, each regional company is a subsidiary that manages and controls different regional ranges, and each salesperson of each regional company manages and controls each sub-regional range in the regional range managed by each regional company, and there is no intersection between the regional ranges. Among them, each user information includes the user identity information of the user, and the user motion trajectory information, wherein the user motion trajectory information is the information of the area involved in the user's motion trajectory collected under the user's authorization. Among them, the motion trajectory information also includes information such as the user's motion frequency in each area. The user identity information includes data of each user attribute type, wherein the user attribute type includes but is not limited to purchase preference type, information preference type, regional preference type, financial preference type, and attention preference type, and each salesperson information includes sales attribute information of each salesperson, and salesperson adaptation area information of each salesperson. Among them, the salesperson adaptation information is the sub-regional range managed by each salesperson in the regional range managed by each regional company. The sales attribute type corresponds to the capability label data of each service capability label. Among them, each service capability label represents the salesperson's service capability information for users, and the service capability label includes but is not limited to service attitude label, transaction volume label, service evaluation label, professional field label, and service proficiency label.

[0069] Step S102, based on the sales personnel information of each regional company, identifies the sales attribute information of each sales personnel of each regional company and the sales personnel adaptation area information of each sales personnel of each regional company, and for each lone user, based on the activity area information of the lone user and the sales personnel adaptation area information of each sales personnel of each regional company, identifies the initial sales personnel adapted for the lone user through the regional division network.

[0070] In this embodiment, the terminal identifies the sales attribute information of each salesperson in each regional company and the salesperson adaptation area information of each salesperson in each regional company based on the salesperson information of each regional company, and for each lonely user, based on the activity area information of the lonely user and the salesperson adaptation area information of each salesperson in each regional company, identifies the initial salespersons adapted to the lonely user through the regional division network. Among them, the regional division network is a convolutional neural network based on the self-attention mechanism. The specific identification process will be described in detail later.

[0071] Step S103, based on the sales attribute information of the historical sales personnel to which the lonely user belongs and the sales attribute information of each initial sales personnel adapted to the lonely user, the sales adaptability of each initial sales personnel is identified, and based on the user attribute information of the lonely user and the sales attribute information of each initial sales personnel, the attribute adaptation network is used to identify the associated adaptability between each initial sales personnel and the lonely user.

[0072] In this embodiment, the terminal identifies the sales suitability of each initial salesperson based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson adapted to the lonely user. The sales suitability of each initial salesperson is the similarity between each initial salesperson and the historical salesperson to which the lonely user belongs.

[0073] Then, the terminal identifies the association fitness between each initial salesperson and the lonely user based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson, and the attribute adaptation network. Among them, the association fitness is the fitness corresponding to the association information between each initial salesperson and the lonely user. The fitness corresponding to the association information represents the amount of resources that the salesperson can tap into when serving the customer, and the customer's satisfaction with the salesperson. Among them, the higher the association fitness, the more resources the salesperson can tap, and the higher the customer's satisfaction with the salesperson. The lower the association fitness, the fewer resources the salesperson can tap, and the lower the customer's satisfaction with the salesperson. The specific identification process will be described in detail later.

[0074] Step S104, based on the sales suitability of each initial salesperson and the association suitability between each initial salesperson and the lonely user, select a target salesperson that is suitable for the lonely user from among the initial salespersons.

[0075] In this embodiment, the terminal screens target sales personnel suitable for the lonely user from among the initial sales personnel based on the sales suitability of each initial sales personnel and the association suitability between each initial sales personnel and the lonely user. When screening the target sales personnel, firstly generate the information of each first target sales personnel sent to the lonely user and the capability introduction information of each first target sales personnel, and then the terminal receives the screening result of the lonely user and obtains the target sales personnel suitable for the lonely user.

[0076] Based on the above solution, through the three angles of attribute adaptation, regional adaptation, and salesperson adaptation, the adaptation information between each lonely user and the salesperson is intelligently analyzed, so as to comprehensively screen the target salesperson for the lonely user. For the enterprise, it improves the accuracy and response speed of regional management, simplifies the regional authority management process, and improves the efficiency of regional customer management. In addition, by introducing user attribute tags and salesperson service tags, the system can more accurately match the salesperson corresponding to the user, thereby improving the adaptability of the salesperson. For users, it can efficiently and accurately adapt to the salesperson who meets the needs of lonely users, thereby comprehensively improving the user experience of the salesperson allocation to lonely users.

[0077] Optionally, based on the user information of each lonely user, user attribute information of each lonely user and user activity area information of each lonely user are identified, including: for each lonely user, splitting the user information of the lonely user into user identity information of the lonely user and user motion trajectory information of the lonely user, and identifying attribute data of each user attribute type of the lonely user based on the user identity information of the lonely user; using the attribute data of each user attribute type of the lonely user as the user attribute information of the lonely user, and based on the user motion trajectory information of the lonely user, generating an activity heat distribution map of the lonely user by using a trajectory area generation strategy; using the activity heat distribution map of the lonely user as the user activity area information of the lonely user.

[0078] In this embodiment, for each lonely user, the terminal splits the user information of the lonely user into the user identity information of the lonely user and the user motion trajectory information of the lonely user, and identifies the attribute data of each user attribute type of the lonely user based on the user identity information of the lonely user. Then, the terminal uses the attribute data of each user attribute type of the lonely user as the user attribute information of the lonely user, and generates an activity heat distribution map of the lonely user through a trajectory area generation strategy based on the user motion trajectory information of the lonely user. Among them, the trajectory area generation strategy is to obtain an activity heat distribution map after marking the activity frequencies of users in different area ranges according to different colors. Among them, the activity frequencies in different area ranges can be marked by different colors and different symbol types. Finally, the terminal uses the activity heat distribution map of the lonely user as the user activity area information of the lonely user.

[0079] Based on the above scheme, after splitting the user identity information, the attribute data of each user attribute type is identified, and the activity heat distribution map of each user's activity area information is identified, which improves the comprehensiveness and accuracy of the identification of user identity information.

[0080] Optionally, based on the user activity area information of the lonely user and the salesperson adaptation area information of each salesperson in each regional company, the initial salesperson adapted for the lonely user is identified through the regional division network, including: based on the user activity area information of the lonely user, screening the target activity area range greater than the activity frequency threshold, and in the regional range controlled by each regional company, screening the companies corresponding to each regional range covered by the target activity area range as the target regional companies; based on the salesperson adaptation area information of each salesperson in each target regional company, identifying the sub-regional range controlled by each salesperson, and based on the user activity area information of the lonely user and the sub-regional range controlled by each salesperson, identifying the initial salesperson adapted for the lonely user through the regional division network.

[0081] In this embodiment, the terminal screens the target activity area range greater than the activity frequency threshold based on the user activity area information of the lone user, and screens the companies corresponding to the regional ranges covered by the target activity area range in the regional ranges controlled by each regional company as the target regional company. Then, based on the salesperson adaptation area information of each salesperson in each target regional company, the terminal identifies the sub-regional range controlled by each salesperson, and based on the user activity area information of the lone user and the sub-regional range controlled by each salesperson, identifies the initial salespersons adapted for the lone user through the regional division network. Specifically, the regional division network is used to screen the salespersons corresponding to the sub-regional ranges intersecting with the target activity area range among each salesperson as the initial salespersons adapted for the lone user. Among them, the intersection includes regional overlap, regional affiliation, and partial regional intersection.

[0082] Based on the above solution, the initial sales personnel adapted to each lonely user are screened by region affiliation, which not only improves the communication convenience and communication habits between the lonely user and the sales personnel, as well as the lonely user's adaptability to the sales personnel's activities, but also improves the management and control effect of regional customers.

[0083] Optionally, based on the sales attribute information of the historical sales staff to which the lonely user belongs and the sales attribute information of the initial sales staff adapted to the lonely user, the sales adaptability of each initial sales staff is identified, including: based on the sales attribute information of each initial sales staff and the sales attribute information of the historical sales staff, the capability label data of each initial sales staff in each service capability label and the historical capability label data of the historical sales staff in each service capability label are identified; for each service capability label, based on the capability label data of each initial sales staff corresponding to the service capability label and the historical capability label data of the historical sales staff corresponding to the service capability label, the service similarity between each initial sales staff and the historical sales staff in the service capability label is calculated through a similarity recognition algorithm; based on the service similarity between each initial sales staff and the historical sales staff in each service capability label, the sales adaptability of each initial sales staff is calculated.

[0084] In this embodiment, the terminal identifies the capability label data of each initial salesperson in each service capability label and the historical capability label data of the historical salesperson in each service capability label based on the sales attribute information of each initial salesperson and the sales attribute information of the historical salesperson. Then, for each service capability label, the terminal calculates the service similarity of each initial salesperson and the historical salesperson in the service capability label based on the capability label data of each initial salesperson corresponding to the service capability label and the historical capability label data of the historical salesperson corresponding to the service capability label through a similarity recognition algorithm.

[0085] Among them, the similarity identification algorithm is based on the deviation data between the capability label data of two sales personnel. The deviation ratio value corresponding to each service capability label is multiplied by the deviation data corresponding to each service capability label to obtain the service similarity between each initial sales personnel and the historical sales personnel in the service capability label.

[0086] Finally, the terminal presets the label weight value of each service capability label, and based on the service similarity between each initial salesperson and the historical salesperson in each service capability label, multiplying it by the label weight value of each service capability label, and then summing them up to obtain the sales adaptability of each initial salesperson.

[0087] Based on the above scheme, by comparing the service similarity between each initial salesperson and the historical salesperson, the sales suitability of each initial salesperson to the lonely user can be identified. Since the historical salesperson of the lonely user has the highest sales suitability with the lonely user, the closer the salesperson is to the historical salesperson, the higher the sales suitability with the user.

[0088] Optionally, based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson, an attribute adaptation network is used to identify the degree of association fitness between each initial salesperson and the lonely user, including: based on the user attribute information of the lonely user, identifying the attribute label data of each user attribute label of the lonely user; through a label matching strategy, identifying the correspondence between each service capability label and each user attribute label; based on the capability label data of each initial salesperson in each service capability label, the attribute label data of each user attribute label of the lonely user, and each corresponding relationship, identifying the degree of association fitness between each initial salesperson and the lonely user through an attribute adaptation network.

[0089] In this embodiment, the terminal identifies the attribute tag data of each user attribute tag of the lonely user based on the user attribute information of the lonely user. Through the tag matching strategy, the corresponding relationship between each service capability tag and each user attribute tag is identified. Among them, the tag matching strategy includes the corresponding relationship between each service capability tag and the user attribute tag.

[0090] Then, based on the capability label data of each initial salesperson in each service capability label, the attribute label data of each user attribute label of the lonely user, and each corresponding relationship, the terminal identifies the sub-association fitness between each service capability label of each initial salesperson and each user attribute label of the lonely user through the attribute adaptation network. Then, the terminal performs weighted summation processing on each sub-association fitness to obtain the association fitness between each initial salesperson and the lonely user, wherein the weight value of each sub-association fitness is the association fitness obtained after normalizing the importance of each service capability label of the salesperson determined by the lonely user.

[0091] Based on the above solution, by identifying the correspondence between each service capability label and the user attribute label, the correlation adaptation degree between each initial salesperson and the lonely user is analyzed, thereby improving the accuracy and comprehensiveness of the analysis of the adaptation situation of the corresponding correlation information between the salesperson and the lonely user.

[0092] Optionally, based on the sales suitability of each initial salesperson and the associated suitability between each initial salesperson and the lonely user, a target salesperson suitable for the lonely user is screened from among the initial salespersons, including: based on the sales suitability of each initial salesperson, screening the initial target salesperson whose suitability is greater than a sales suitability threshold; based on the associated suitability between each initial target salesperson and the lonely user, sorting the initial target salespersons to obtain a salesperson sequence, and screening a preset number of initial target salespersons in order from front to back in the salesperson sequence as the first target salesperson suitable for the lonely user; based on each first target salesperson The association adaptability between the first target salesperson and the lonely user is determined, the main associated service capability labels between each first target salesperson and the lonely user are identified, and the capability introduction information of each first target salesperson is generated based on the capability label data of each main associated service capability label of each first target salesperson; the sequence position information of each first target salesperson in the salesperson sequence and the capability introduction information of each first target salesperson are sent to the user terminal of the lonely user, and in response to the user's personnel selection operation, the first target salesperson selected by the lonely user from the first target salespersons is obtained as the target salesperson adapted for the lonely user.

[0093] In this embodiment, the terminal selects the initial target salesperson whose sales suitability is greater than the sales suitability threshold based on the sales suitability of each initial salesperson. The sales suitability threshold is a threshold preset in the terminal. Then, the terminal sorts each initial target salesperson based on the associated suitability between each initial target salesperson and the lonely user to obtain a salesperson sequence, and selects a preset number of initial target salespersons in the order of the salesperson sequence from front to back as the first target salesperson adapted to the lonely user. The preset number is the number preset by the staff in the terminal.

[0094] Afterwards, the terminal identifies the main associated service capability labels between each first target salesperson and the lonely user based on the associated fit between each first target salesperson and the lonely user, and generates capability introduction information for each first target salesperson based on the capability label data of each main associated service capability label of each first target salesperson. Among them, the main associated service capability label is a service capability label whose sub-associated fit between each service capability label of each initial salesperson and each user attribute label of the lonely user is greater than the associated fit threshold preset in the terminal. The terminal presets a capability introduction information template, and fills the label data of each main associated service capability label of the first target salesperson into the preset capability introduction information template to obtain the capability introduction information of the first target salesperson.

[0095] Then, the terminal sends the sequence position information of each first target salesperson in the salesperson sequence and the ability introduction information of each first target salesperson to the user terminal of the lonely user, and in response to the user's personnel selection operation, obtains the first target salesperson selected by the lonely user from the first target salespersons as the target salesperson adapted for the lonely user.

[0096] Based on the above solution, by screening sales personnel from the perspectives of association suitability and sales suitability, the suitability of the screened sales personnel and the lonely user, as well as the suitability of resource mining from the lonely user, is improved. Then, the lonely user is allowed to screen the sales personnel, ensuring the lonely user's subjective sales personnel adaptation selection and improving the user experience of the sales personnel allocation to the lonely user.

[0097] This application also provides a salesperson adaptation example for a lonely user, such as Figure 2 As shown, the specific processing process includes the following steps:

[0098] Step S201, obtaining user information of each lonely user and salesperson information of each regional company.

[0099] Step S202: for each lonely user, split the user information of the lonely user into the user identity information of the lonely user and the user movement track information of the lonely user, and identify attribute data of each user attribute type of the lonely user based on the user identity information of the lonely user.

[0100] Step S203: taking the attribute data of each user attribute type of the lonely user as the user attribute information of the lonely user, and generating an activity heat distribution map of the lonely user through a trajectory area generation strategy based on the user movement trajectory information of the lonely user.

[0101] Step S204: Using the activity heat distribution map of the lonely user as the user activity area information of the lonely user.

[0102] Step S205, based on the sales personnel information of each regional company, identifying the sales attribute information of each sales personnel of each regional company and the sales personnel adaptation area information of each sales personnel of each regional company.

[0103] Step S206, based on the user activity area information of the lone user, filter the target activity area range that is greater than the activity frequency threshold, and in the area range managed by each regional company, filter the companies corresponding to each area range covered by the target activity area range as the target regional companies.

[0104] Step S207, based on the salesperson adaptation area information of each salesperson of each target area company, identify the sub-area range managed by each salesperson, and based on the user activity area information of the lone user and the sub-area range managed by each salesperson, identify the initial salespersons adapted for the lone user through the regional division network.

[0105] Step S208, based on the sales attribute information of each initial salesperson and the sales attribute information of the historical salesperson, the capability label data of each initial salesperson in each service capability label and the historical capability label data of the historical salesperson in each service capability label are identified.

[0106] Step S209, for each service capability label, based on the capability label data of each initial salesperson corresponding to the service capability label and the historical capability label data of the historical salesperson corresponding to the service capability label, a similarity recognition algorithm is used to calculate the service similarity between each initial salesperson and the historical salesperson in the service capability label.

[0107] Step S210, calculating the sales suitability of each initial salesperson based on the service similarity between each initial salesperson and the historical salesperson in each service capability tag.

[0108] Step S211 : identifying attribute label data of each user attribute label of the lonely user based on the user attribute information of the lonely user.

[0109] Step S212: Identify the correspondence between each service capability tag and each user attribute tag through a tag matching strategy.

[0110] Step S213, based on the capability label data of each initial salesperson in each service capability label, the attribute label data of each user attribute label of the lonely user, and each corresponding relationship, the association adaptation degree between each initial salesperson and the lonely user is identified through the attribute adaptation network.

[0111] Step S214, based on the sales suitability of each initial salesperson, screening initial target salespersons whose sales suitability is greater than a sales suitability threshold.

[0112] Step S215, based on the correlation fit between each initial target salesperson and the lonely user, sort each initial target salesperson to obtain a salesperson sequence, and select a preset number of initial target salespersons in order from front to back in the salesperson sequence as the first target salesperson adapted for the lonely user.

[0113] Step S216, based on the association fit between each first target salesperson and the lonely user, identify the main associated service capability label between each first target salesperson and the lonely user, and generate capability introduction information for each first target salesperson based on the capability label data of each main associated service capability label of each first target salesperson.

[0114] Step S217, sending the sequence position information of each first target salesperson in the salesperson sequence and the ability introduction information of each first target salesperson to the user terminal of the lonely user, and in response to the user's personnel selection operation, obtaining the first target salesperson selected by the lonely user from the first target salespersons as the target salesperson adapted for the lonely user.

[0115] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0116] Based on the same inventive concept, the embodiment of the present application also provides a salesperson adaptation device for lonely users for implementing the salesperson adaptation method for lonely users involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the salesperson adaptation device for lonely users provided below can refer to the limitations of the salesperson adaptation method for lonely users above, and will not be repeated here.

[0117] In an exemplary embodiment, Figure 3 As shown, a salesperson adaptation device for a lonely user is provided, comprising: an acquisition module 310, a division module 320, an identification module 330 and a screening module 340, wherein:

[0118] The acquisition module 310 is used to acquire the user information of each lonely user and the sales personnel information of each regional company, and identify the user attribute information of each lonely user and the user activity area information of each lonely user based on the user information of each lonely user;

[0119] The division module 320 is used to identify the sales attribute information of each salesperson of each regional company and the salesperson adaptation area information of each salesperson of each regional company based on the salesperson information of each regional company, and for each lone user, based on the activity area information of the lone user and the salesperson adaptation area information of each salesperson of each regional company, identify each initial salesperson adapted for the lone user through the regional division network;

[0120] The identification module 330 is used to identify the sales adaptability of each initial salesperson based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson adapted to the lonely user, and to identify the associated adaptability between each initial salesperson and the lonely user based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson and the attribute adaptation network;

[0121] The screening module 340 is used to screen target sales personnel suitable for the lonely user from among the initial sales personnel based on the sales suitability of the initial sales personnel and the association suitability between the initial sales personnel and the lonely user.

[0122] Optionally, the acquisition module 310 is specifically configured to:

[0123] For each lonely user, splitting the user information of the lonely user into user identity information of the lonely user and user movement trajectory information of the lonely user, and identifying attribute data of each user attribute type of the lonely user based on the user identity information of the lonely user;

[0124] The attribute data of each user attribute type of the lonely user is used as the user attribute information of the lonely user, and based on the user movement trajectory information of the lonely user, an activity heat distribution map of the lonely user is generated through a trajectory area generation strategy;

[0125] The activity heat distribution map of the lonely user is used as the user activity area information of the lonely user.

[0126] Optionally, the division module 320 is specifically configured to:

[0127] Based on the user activity area information of the lone user, the target activity area range with a frequency greater than the activity frequency threshold is screened, and in the area ranges controlled by the regional companies, the companies corresponding to the regional ranges covered by the target activity area range are screened as target regional companies;

[0128] Based on the salesperson adaptation area information of each salesperson in each target area company, the sub-regional range managed by each salesperson is identified. Based on the user activity area information of the lone user and the sub-regional range managed by each salesperson, the initial salespersons adapted for the lone user are identified through the regional division network.

[0129] Optionally, the identification module 330 is specifically configured to:

[0130] Based on the sales attribute information of each initial salesperson and the sales attribute information of the historical salesperson, identifying the capability label data of each initial salesperson in each service capability label and the historical capability label data of the historical salesperson in each service capability label;

[0131] For each service capability label, based on the capability label data of each initial salesperson corresponding to the service capability label and the historical capability label data of the historical salesperson corresponding to the service capability label, the service similarity between each initial salesperson and the historical salesperson in the service capability label is calculated through a similarity recognition algorithm;

[0132] Based on the service similarity between each initial salesperson and historical salespersons in each service capability label, the sales suitability of each initial salesperson is calculated.

[0133] Optionally, the identification module 330 is specifically configured to:

[0134] Based on the user attribute information of the lonely user, identifying attribute label data of each user attribute label of the lonely user;

[0135] Through the tag matching strategy, identify the correspondence between each service capability tag and each user attribute tag;

[0136] Based on the capability label data of each initial salesperson in each service capability label, the attribute label data of each user attribute label of the lonely user, and each corresponding relationship, the association adaptation degree between each initial salesperson and the lonely user is identified through the attribute adaptation network.

[0137] Optionally, the screening module 340 is specifically used for:

[0138] Based on the sales suitability of each initial salesperson, select initial target salespersons whose sales suitability is greater than a sales suitability threshold;

[0139] Based on the correlation and fitness between each initial target salesperson and the lonely user, the initial target salespersons are sorted to obtain a salesperson sequence, and a preset number of initial target salespersons are selected in the order of the salesperson sequence from the front to the back as the first target salespersons adapted to the lonely user;

[0140] Based on the association fit between each first target salesperson and the lonely user, identify the main associated service capability tags between each first target salesperson and the lonely user, and generate capability introduction information of each first target salesperson based on the capability tag data of each main associated service capability tag of each first target salesperson;

[0141] The sequence position information of each first target salesperson in the salesperson sequence and the ability introduction information of each first target salesperson are sent to the user terminal of the lonely user, and in response to the user's personnel selection operation, the first target salesperson selected by the lonely user from the first target salespersons is obtained as the target salesperson adapted for the lonely user.

[0142] Each module in the salesperson adaptation device for lonely users can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0143] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used 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 and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a salesperson adaptation method for a lonely user is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0144] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0145] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the salesperson adaptation method for lone users are implemented.

[0146] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the salesperson adaptation method for lone users are implemented.

[0147] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of a salesperson adaptation method for a lone user.

[0148] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0149] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0150] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0151] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A salesperson adaptation method for a lonely user, characterized in that: The method comprises: Acquire user information of each lone user and salesperson information of each regional company, and identify user attribute information of each lone user and user activity area information of each lone user based on the user information of each lone user; Based on the salesperson information of each of the regional companies, the sales attribute information of each of the salespersons of each of the regional companies and the salesperson adaptation area information of each of the salespersons of each of the regional companies are identified, and for each lone user, based on the activity area information of the lone user and the salesperson adaptation area information of each of the salespersons of each of the regional companies, the initial salespersons adapted to the lone user are identified through the regional division network; Based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson adapted to the lonely user, the sales adaptability of each initial salesperson is identified, and based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson, the attribute adaptation network is used to identify the associated adaptability between each initial salesperson and the lonely user; Based on the sales suitability of each of the initial sales personnel and the association suitability between each of the initial sales personnel and the lonely user, a target sales personnel suitable for the lonely user is screened from among the initial sales personnel.

2. The method according to claim 1, characterized in that The identifying, based on the user information of each of the lonely users, the user attribute information of each of the lonely users and the user activity area information of each of the lonely users comprises: For each lonely user, splitting the user information of the lonely user into user identity information of the lonely user and user movement track information of the lonely user, and identifying attribute data of each user attribute type of the lonely user based on the user identity information of the lonely user; Using the attribute data of each user attribute type of the lonely user as the user attribute information of the lonely user, and based on the user movement trajectory information of the lonely user, generating an activity heat distribution map of the lonely user through a trajectory area generation strategy; The activity heat distribution map of the lonely user is used as the user activity area information of the lonely user.

3. The method according to claim 2, characterized in that The method of identifying each initial salesperson adapted for the lone user based on the activity area information of the lone user and the salesperson adaptation area information of each salesperson of each regional company through a regional division network includes: Based on the user activity area information of the lone user, a target activity area range greater than an activity frequency threshold is screened, and in the area ranges managed by the regional companies, companies corresponding to the regional ranges covered by the target activity area range are screened as target regional companies; Based on the sales staff adaptation area information of each sales staff of each target area company, the sub-region range managed by each sales staff is identified, and based on the user activity area information of the lone user and the sub-region range managed by each sales staff, the initial sales staff adapted for the lone user are identified through the regional division network.

4. The method according to claim 1, characterized in that: The identifying the sales suitability of each initial salesperson based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson to whom the lonely user is adapted comprises: Based on the sales attribute information of each of the initial sales personnel and the sales attribute information of the historical sales personnel, identifying the capability label data of each of the initial sales personnel in each service capability label and the historical capability label data of the historical sales personnel in each service capability label; For each service capability label, based on the capability label data of each initial salesperson corresponding to the service capability label and the historical capability label data of the historical salesperson corresponding to the service capability label, the service similarity between each initial salesperson and the historical salesperson in the service capability label is calculated by a similarity recognition algorithm; Based on the service similarity between each initial salesperson and the historical salesperson in each service capability tag, the sales suitability of each initial salesperson is calculated.

5. The method according to claim 4, characterized in that The attribute adaptation network based on the user attribute information of the lonely user and the sales attribute information of each of the initial sales personnel identifies the association adaptation degree between each initial sales personnel and the lonely user, including: Based on the user attribute information of the lonely user, identifying attribute label data of each user attribute label of the lonely user; Through the tag matching strategy, identify the correspondence between each service capability tag and each user attribute tag; Based on the capability label data of each initial salesperson in each service capability label, the attribute label data of each user attribute label of the lonely user, and the corresponding relationships, the association adaptation degree between each initial salesperson and the lonely user is identified through the attribute adaptation network.

6. The method according to claim 1, characterized in that The step of screening a target salesperson suitable for the lone user from among the initial salespersons based on the sales suitability of the initial salespersons and the association suitability between the initial salespersons and the lone user comprises: Based on the sales suitability of each of the initial sales personnel, screening initial target sales personnel whose sales suitability is greater than a sales suitability threshold; Based on the correlation and fitness between each of the initial target salespersons and the lonely user, the initial target salespersons are sorted to obtain a salesperson sequence, and a preset number of initial target salespersons are selected in order from the front to the back of the salesperson sequence as the first target salespersons adapted to the lonely user; Based on the association fit between each first target salesperson and the lone user, identify the main associated service capability label between each first target salesperson and the lone user, and generate capability introduction information of each first target salesperson based on the capability label data of each main associated service capability label of each first target salesperson; The sequence position information of each of the first target sales personnel in the sales personnel sequence and the capability introduction information of each of the first target sales personnel are sent to the user terminal of the lonely user, and in response to the user's personnel selection operation, the first target sales personnel screened by the lonely user from among the first target sales personnel are obtained as the target sales personnel adapted for the lonely user.

7. A salesperson matching device for a lonely user, characterized in that: The device comprises: An acquisition module, used to acquire user information of each lonely user and sales personnel information of each regional company, and identify user attribute information of each lonely user and user activity area information of each lonely user based on the user information of each lonely user; A division module, for identifying, based on the salesperson information of each of the regional companies, sales attribute information of each of the salespersons of each of the regional companies, and salesperson adaptation area information of each of the salespersons of each of the regional companies, and for each lone user, based on the activity area information of the lone user and the salesperson adaptation area information of each of the salespersons of each of the regional companies, identifying, through a regional division network, each initial salesperson adapted to the lone user; an identification module, configured to identify the sales adaptability of each initial salesperson based on the sales attribute information of the historical salesperson to which the lonely user belongs and the sales attribute information of each initial salesperson adapted to the lonely user, and to identify the associated adaptability between each initial salesperson and the lonely user based on the user attribute information of the lonely user and the sales attribute information of each initial salesperson and the attribute adaptation network; A screening module is used to screen a target salesperson who is suitable for the lonely user from among the initial salespersons based on the sales suitability of each of the initial salespersons and the associated suitability between each of the initial salespersons and the lonely user.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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