Business opportunity information mining method and system

Abstract

The invention relates to a business opportunity information mining method and system, and belongs to the technical field of data processing. Carrying out value evaluation on the clue information by adopting a two-dimensional value to obtain a clue business opportunity value score of the clue information; judging whether a business opportunity follow-up condition is met or not based on the clue business opportunity value score, and carrying out business opportunity follow-up based on a one-key application mode under the condition of determining that the business opportunity follow-up condition is met; and determining a contract signing result according to a business opportunity follow-up result. According to the method, the business opportunity follow-up strategy is optimized, and the business opportunity propulsion efficiency is comprehensively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a business opportunity information mining method and system. Background Art

[0002] In the related technologies, data islands are generated between business systems due to network and other reasons, and each business party fails to obtain information in a timely manner. At the same time, the customer service conversation data retained by each party's system has not been deeply mined, and there is a possibility of missing leads and business opportunities, which reduces customer stickiness and leads to the loss of key customers. Summary of the invention

[0003] In view of the above shortcomings of the prior art, the purpose of the invention is to provide a business opportunity information mining method and system. The method optimizes the business opportunity follow-up strategy and comprehensively improves the efficiency of business opportunity promotion.

[0004] The first aspect of the present invention proposes a business opportunity information mining method, including: S1, obtaining clue information; S2, using two-dimensional value to evaluate the value of the clue information to obtain the clue business opportunity value score of the clue information; S3, based on the clue business opportunity value score, judging whether the business opportunity follow-up conditions are met, and if it is determined that the business opportunity follow-up conditions are met, following up the business opportunity based on a one-click application method; S4, determining the contract signing result according to the result of the business opportunity follow-up.

[0005] Furthermore, obtaining clue information includes: obtaining conversation data; inputting the conversation data into a trained intent recognition model to obtain business opportunity intent in the conversation data, and generating the clue information based on the business opportunity intent; wherein the trained intent recognition model is obtained by: preprocessing the conversation data to obtain the preprocessed conversation data; identifying whether the preprocessed conversation data contains business opportunities, and marking the type of the business opportunities; converting the preprocessed conversation data into a vector representation, and dividing the preprocessed conversation data into a training set, a test set, and a validation set; inputting the training set into the intent recognition model for training, and outputting the text intent of the conversation data, wherein the intent recognition model is a combination of an LSTM model and an Attention model; optimizing the intent recognition model based on the validation set and the evaluation index to obtain the trained intent recognition model.

[0006] Furthermore, the two-dimensional value includes customer value and market value, wherein the two-dimensional value is used to perform a value assessment on the lead information to obtain a lead business opportunity value score of the lead information, including: obtaining a unique identifier corresponding to the lead information; determining a customer value score and a market value score based on the unique identifier; and taking the sum of the customer value score and the market value score as the lead business opportunity value score.

[0007] Furthermore, determining the customer value score and the market value score based on the unique identifier includes: calling the customer management system interface based on the unique identifier to query the scores of the customer's economic contribution, social effect, and credit status; calculating the customer value score based on the scores and dimensional proportions of the customer's economic contribution, the social effect, and the credit status; determining the realization score and prospect score of the lead information based on the unique identifier; and calculating the market value score based on the realization score and the prospect score.

[0008] Furthermore, based on the lead business opportunity value score, determining whether the business opportunity follow-up conditions are met includes: determining whether the lead business opportunity value score is greater than a preset score; wherein, when it is determined that the lead business opportunity value score is greater than a preset score, determining that the business opportunity follow-up conditions are met.

[0009] Furthermore, business opportunity follow-up is performed based on a one-click claiming method, including: preprocessing the lead information to obtain the preprocessed lead information; mapping the preprocessed lead information and the target information in the lead pool to a unified dimensional space to generate a vector of the preprocessed lead information and a vector of the target information; calculating the distance from the vector of the target information to the vector of the preprocessed lead information, and based on the calculation result, obtaining first information from the target information; sorting the first information based on the trained XGBoost model to obtain second information, and following up the business opportunity based on the second information.

[0010] Further, determining the contract signing result according to the result of the business opportunity follow-up includes: if it is determined that the business opportunity follow-up is successful, determining that the contract signing is successful; if it is determined that the business opportunity follow-up fails, determining that the contract signing fails.

[0011] The second aspect of the present invention proposes a business opportunity information mining system, including: an acquisition module for acquiring clue information; an evaluation module for performing value evaluation on the clue information using a two-dimensional value to obtain a clue business opportunity value score of the clue information; a follow-up module for judging whether business opportunity follow-up conditions are met based on the clue business opportunity value score, and performing business opportunity follow-up based on a one-click application method when it is determined that the business opportunity follow-up conditions are met; a determination module for determining a contract signing result based on the result of the business opportunity follow-up.

[0012] According to a third aspect of the present invention, an electronic device is proposed, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the methods described in the first aspect of the present invention.

[0013] According to a fourth aspect of the present invention, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute any one of the methods according to the first aspect of the present invention.

[0014] The beneficial effects of the present invention are as follows:

[0015] The business opportunity information mining method and system of the present invention obtains clue information; uses a two-dimensional value to evaluate the value of the clue information to obtain the clue business opportunity value score of the clue information; based on the clue business opportunity value score, it is determined whether the business opportunity follow-up conditions are met, and when it is determined that the business opportunity follow-up conditions are met, the business opportunity is followed up based on a one-click application method; and the contract signing result is determined according to the result of the business opportunity follow-up. The method realizes the optimization of the business opportunity follow-up strategy and comprehensively improves the efficiency of business opportunity promotion. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are only used to illustrate specific embodiments and are not considered to limit the present invention. In the entire drawings, the same reference symbols represent the same components. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0017] Figure 1 is a flow chart of a business opportunity information mining method according to an embodiment of the present invention;

[0018] Figure 2 is a flow chart of a business opportunity information mining method according to a specific embodiment of the present invention;

[0019] Figure 3is a schematic diagram of a business opportunity information mining system according to an embodiment of the present invention;

[0020] Figure 4 It is a structural block diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work should fall within the scope of protection of the present invention.

[0022] Furthermore, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts disclosed in the present invention.

[0023] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of methods and systems consistent with some aspects of the present invention as detailed in the appended claims.

[0025] The present invention proposes a business opportunity information mining method, system and related equipment. Specifically, the business opportunity information mining method, system and related equipment of an embodiment of the present invention are described below with reference to the accompanying drawings.

[0026] Figure 1 1 is a flow chart of a business opportunity information mining method according to an embodiment of the present invention. It should be noted that the business opportunity information mining method of the embodiment of the present invention can be applied to the business opportunity information mining system of the embodiment of the present invention. The business opportunity information mining system can be configured on an electronic device or in a server. This embodiment of the present application does not limit this.

[0027] like Figure 1 As shown, the business opportunity information mining method includes:

[0028] S110, obtaining clue information.

[0029] In an embodiment of the present invention, clue information can be obtained based on human-computer interaction methods, where the human-computer interaction methods include but are not limited to manual entry, voice recognition, etc. For example, within a preset time, when voice information is detected, the voice information can be converted into voice text, and then clue information can be obtained based on the voice text; for example, based on the terminal input target text, clue information can be obtained based on the target text.

[0030] In an embodiment of the present invention, asset data in a DICT system project is obtained; based on a target scenario and preset rules, it is determined whether the asset data meets periodic verification conditions; and when it is determined that the periodic verification conditions are met, clue information is generated.

[0031] The asset data includes host performance data, project contract data, etc. Host performance data includes key indicators such as CPU usage, memory usage, disk space, etc. Project contract data includes key information such as contract period, service content, and cost.

[0032] That is to say, according to the preset rules set by the user, for example, when the host CPU usage exceeds 80%, the expansion rule can be triggered, or when the remaining contract period is less than 3 months, the renewal reminder rule can be triggered to perform periodic data verification. This can ensure that the data is always under monitoring, and once the triggering conditions are met, the system can generate corresponding clue information in a timely manner.

[0033] In the embodiment of the present invention, clue information can also be obtained based on the intention recognition model. The specific implementation method can refer to the subsequent embodiments.

[0034] In an embodiment of the present invention, the lead information includes information such as a unique identifier, lead discovery time, customer name, and lead type.

[0035] S120, using the two-dimensional value to evaluate the value of the clue information, and obtaining the clue business opportunity value score of the clue information.

[0036] In an embodiment of the present invention, the two-dimensional value includes customer value and market value.

[0037] In an embodiment of the present invention, a unique identifier corresponding to the lead information can be obtained; a customer value score and a market value score can be determined based on the unique identifier; and the sum of the customer value score and the market value score can be used as the lead opportunity value score. For specific implementation methods, please refer to the subsequent embodiments.

[0038] S130, based on the lead business opportunity value score, determine whether the business opportunity follow-up conditions are met. If it is determined that the business opportunity follow-up conditions are met, follow up the business opportunity based on a one-click application method.

[0039] In the embodiment of the present invention, when the value score of the lead business opportunity is obtained, it can be determined whether the value score of the lead business opportunity is greater than the preset score; wherein, when it is determined that the value score of the lead business opportunity is greater than the preset score, it is determined that the business opportunity follow-up condition is met, and then the business opportunity is followed up based on the one-click claiming method. The specific implementation method can refer to the subsequent embodiments.

[0040] S140, determine the contract signing result based on the result of business opportunity follow-up.

[0041] According to the business opportunity information mining method of the embodiment of the present invention, clue information is obtained; the clue information is evaluated by using a two-dimensional value to obtain the clue business opportunity value score of the clue information; based on the clue business opportunity value score, it is determined whether the business opportunity follow-up conditions are met, and when it is determined that the business opportunity follow-up conditions are met, the business opportunity is followed up based on a one-click application method; and the contract signing result is determined based on the result of the business opportunity follow-up. The method realizes the optimization of the business opportunity follow-up strategy and comprehensively improves the efficiency of business opportunity promotion.

[0042] In order to make it easier for those skilled in the art to understand the present invention, Figure 2 A business opportunity information mining method according to a specific embodiment of the present invention is as follows. Figure 2 As shown, the business opportunity information mining method includes:

[0043] S210, obtaining clue information.

[0044] In an embodiment of the present invention, conversation data is acquired; the conversation data is input into a trained intent recognition model to obtain business opportunity intent in the conversation data, and clue information is generated based on the business opportunity intent.

[0045] The trained intent recognition model is obtained in the following way: preprocessing the conversation data to obtain preprocessed conversation data; identifying whether the preprocessed conversation data contains business opportunities and marking the types of business opportunities; converting the preprocessed conversation data into vector representation, and dividing the preprocessed conversation data into training set, test set and validation set; inputting the training set into the intent recognition model for training, and outputting the text intent of the conversation data. The intent recognition model is a combination of the LSTM model and the Attention model; optimizing the intent recognition model based on the validation set and evaluation indicators to obtain the trained intent recognition model.

[0046] Among them, the preprocessing of conversation data includes removing noise, punctuation, stop words, and deleting duplicate data.

[0047] The optimizer used in the model training process is Adam, the learning rate is set to 0.001, the training is 100 epochs, the batch size is 50, and multiple evaluation indicators (such as precision P re , recall rate R ec ) to evaluate the model performance in order to obtain a better intent recognition model.

[0048] The formula for evaluating model performance is as follows: Among them, TP represents the true positive, that is, the number of samples correctly predicted by the model as positive, and FN represents the false negative, that is, the number of samples incorrectly predicted by the model as negative. Among them, FP stands for False Positive, which is the number of samples that the model incorrectly predicts as positive.

[0049] S220, using the dual-dimensional value to evaluate the value of the clue information, and obtaining the clue business opportunity value score of the clue information.

[0050] In an embodiment of the present invention, the two-dimensional value includes customer value and market value.

[0051] In an embodiment of the present invention, a unique identifier corresponding to the lead information can be obtained; a customer value score and a market value score can be determined based on the unique identifier; and the sum of the customer value score and the market value score can be used as the lead opportunity value score.

[0052] Among them, the customer management system interface can be called based on the unique identifier to query the scores of the customer's economic contribution, social effect, and credit status; the customer value score can be calculated based on the scores and dimension proportions of the customer's economic contribution, social effect, and credit status; the realization score and prospect score of the lead information can be determined based on the unique identifier; and the market value score can be calculated based on the realization score and prospect score.

[0053] Among them, the dimension of customer economic contribution accounts for 50%, the dimension of social effect accounts for 20%, and the dimension of credit status accounts for 30%.

[0054] Among them, the realization score and the prospect score can be based on manual evaluation.

[0055] Therefore, by evaluating the value of clue information through two-dimensional value, users can quickly understand the potential of the clues.

[0056] S230, based on the lead opportunity value score, determine whether the opportunity follow-up conditions are met.

[0057] In an embodiment of the present invention, when the lead business opportunity value score is obtained, it can be determined whether the lead business opportunity value score is greater than a preset score to determine whether the business opportunity follow-up condition is met.

[0058] S240, when it is determined that the business opportunity follow-up conditions are met, the business opportunity is followed up based on a one-click application method.

[0059] In an embodiment of the present invention, when it is determined that the lead business opportunity value score is greater than a preset score, it is determined that the business opportunity follow-up conditions are met, and then the business opportunity is followed up based on a one-click claiming method.

[0060] Among them, the clue information can be preprocessed to obtain preprocessed clue information; the preprocessed clue information and the target information in the clue pool are mapped to a unified dimensional space to generate a vector of the preprocessed clue information and a vector of the target information; the distance from the vector of the target information to the vector of the preprocessed clue information is calculated, and based on the calculation result, the first information is obtained from the target information; the first information is sorted based on the trained XGBoost model to obtain the second information, and business opportunities are followed up based on the second information.

[0061] Among them, the pre-processing of clue information includes error correction, rewriting, word segmentation and other operations.

[0062] There may be multiple target information, and based on the calculation result, the first N target information closest to the vector of the preprocessed clue information can be determined, and the first N target information can be used as the first information.

[0063] The XGBoost (eXtreme Gradient Boosting) model is used to sort the first information. XGBoost is an efficient gradient boosting algorithm that can process large-scale data and provide accurate prediction results. The XGBoost algorithm considers multiple factors, such as the similarity between the first information and the clue information, the timeliness of the clue, user behavior characteristics, etc., to generate the final sorting result.

[0064] In an embodiment of the present invention, when it is determined that the business opportunity follow-up conditions are met, the business opportunity follow-up can also be performed based on the business sales automatic matching method.

[0065] Among them, an item-based collaborative filtering algorithm is used for intelligent matching. The algorithm automatically assigns highly compatible business opportunity information to users by analyzing user feature tags (such as areas of expertise, past performance, etc.) and business opportunity features (such as product type, customer needs, etc.). The matching process is then aimed at improving the conversion rate of business opportunities and enabling users to work more efficiently. For business opportunity information that cannot be matched, the system automatically puts it into the lead pool. The lead pool is a database that stores potential customers for users to retrieve and claim later. Users can filter out suitable leads from the lead pool for follow-up based on their needs and abilities.

[0066] Therefore, by following up on business opportunities based on a one-click application method and automatic business-sales matching, it is possible to quickly follow up on business opportunities and thus improve customer stickiness.

[0067] S250, determine the contract signing result based on the result of business opportunity follow-up.

[0068] In an embodiment of the present invention, when it is determined that the business opportunity follow-up is successful, it is determined that the contract is signed successfully; when it is determined that the business opportunity follow-up fails, it is determined that the contract is signed unsuccessfully.

[0069] In an embodiment of the present invention, when it is determined that the business opportunity follow-up has failed, the cause of the business opportunity follow-up failure can be analyzed based on the user, and the failed business opportunity can be transferred to a business opportunity failure library for reference for subsequent similar business opportunity follow-up.

[0070] According to the business opportunity information mining method of the embodiment of the present invention, the business opportunity intention in the dialogue data can be accurately identified through the trained intention recognition model (combined with LSTM and Attention model), thereby automatically generating clue information. This automated method greatly improves the efficiency and accuracy of business opportunity identification. The value of clue information is evaluated by using two-dimensional value (customer value and market value). Through multi-dimensional and multi-indicator considerations, the potential value of the clue can be more comprehensively evaluated, providing strong support for subsequent business opportunity follow-up. Based on the clue business opportunity value score, it is judged whether the business opportunity follow-up conditions are met, and the one-click application method and the business sales automatic matching method are used to follow up the business opportunity. Both methods realize intelligent processing, can quickly respond to business opportunities, and improve the efficiency of business opportunity follow-up. The one-click application method can accurately screen out the most suitable business opportunity information for follow-up through steps such as pre-processing clue information, vector mapping, and XGBoost model sorting. The business sales automatic matching method automatically assigns business opportunity information that is highly compatible with the user through an item-based collaborative filtering algorithm, further improving the business opportunity conversion rate. The contract signing result is determined based on the results of business opportunity follow-up. This flexible decision-making method can ensure that the signing of the contract is based on successful business opportunity follow-up, thereby improving the success rate of contract signing and the efficiency of contract execution.

[0071] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0072] According to one aspect of an embodiment of the present invention, a business opportunity information mining system is also provided. Figure 3 is a schematic diagram of a business opportunity information mining system according to an embodiment of the present invention; Figure 3 As shown, including:

[0073] An acquisition module 310 is used to acquire clue information;

[0074] An evaluation module 320 is used to evaluate the value of the clue information using a dual-dimensional value to obtain a clue business opportunity value score of the clue information;

[0075] A follow-up module 330 is used to determine whether a business opportunity follow-up condition is met based on the lead business opportunity value score, and if it is determined that the business opportunity follow-up condition is met, follow up the business opportunity based on a one-click claiming method;

[0076] The determination module 340 is used to determine the contract signing result according to the result of the business opportunity follow-up.

[0077] According to the business opportunity information mining system of the embodiment of the present invention, clue information is obtained; the value of the clue information is evaluated by using a two-dimensional value to obtain the clue business opportunity value score of the clue information; based on the clue business opportunity value score, it is determined whether the business opportunity follow-up conditions are met, and if it is determined that the business opportunity follow-up conditions are met, the business opportunity is followed up based on a one-click application method; the contract signing result is determined based on the result of the business opportunity follow-up. In this way, the business opportunity follow-up strategy is optimized and the efficiency of business opportunity promotion is comprehensively improved.

[0078] Optionally, an acquisition module 310 is specifically used to acquire conversation data; input the conversation data into a trained intent recognition model to obtain business opportunity intent in the conversation data, and generate the clue information based on the business opportunity intent; wherein the trained intent recognition model is obtained in the following manner: preprocessing the conversation data to obtain the preprocessed conversation data; identifying whether the preprocessed conversation data contains business opportunities, and marking the type of the business opportunities; converting the preprocessed conversation data into a vector representation, and dividing the preprocessed conversation data into a training set, a test set, and a validation set; inputting the training set into the intent recognition model for training, and outputting the text intent of the conversation data, wherein the intent recognition model is a combination of an LSTM model and an Attention model; optimizing the intent recognition model based on the validation set and evaluation indicators to obtain the trained intent recognition model.

[0079] Optionally, the two-dimensional value includes customer value and market value, wherein the evaluation module 320 is specifically used to obtain a unique identifier corresponding to the lead information; determine a customer value score and a market value score based on the unique identifier; and use the sum of the customer value score and the market value score as the lead opportunity value score.

[0080] Optionally, the evaluation module 320 is specifically used to call the customer management system interface based on the unique identifier to query the scores of the customer's economic contribution, social effect, and credit status; calculate the customer value score based on the scores and dimensional proportions of the customer's economic contribution, social effect, and credit status; determine the realization score and prospect score of the lead information based on the unique identifier; and calculate the market value score based on the realization score and the prospect score.

[0081] Optionally, the follow-up module 330 is specifically used to determine whether the value score of the lead business opportunity is greater than a preset score; wherein, when it is determined that the value score of the lead business opportunity is greater than the preset score, it is determined that the business opportunity follow-up condition is met.

[0082] Optionally, the follow-up module 330 is specifically used to preprocess the lead information to obtain the preprocessed lead information; map the preprocessed lead information and the target information in the lead pool to a unified dimensional space to generate a vector of the preprocessed lead information and a vector of the target information; calculate the distance from the vector of the target information to the vector of the preprocessed lead information, and based on the calculation result, obtain first information from the target information; sort the first information based on the trained XGBoost model to obtain second information, and follow up on the business opportunity based on the second information.

[0083] Optionally, the determination module 340 is specifically configured to determine that the contract is signed successfully if it is determined that the business opportunity follow-up is successful; and to determine that the contract is signed unsuccessfully if it is determined that the business opportunity follow-up is unsuccessful.

[0084] According to one aspect of an embodiment of the present invention, an electronic device is provided.

[0085] Figure 4 Schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Figure 4 As shown, the electronic device may include one or more ( Figure 4 Only one is shown in the figure) processor 102 (processor 102 may include but is not limited to a microprocessor (Microprocessor Unit, referred to as MPU) or a programmable logic device (Programmable logic device, referred to as PLD)) and a memory 104 for storing data. In an exemplary embodiment, the electronic device may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 4 The structure shown is for illustration only and does not limit the structure of the above terminal device. Figure 4 More or fewer components as shown, or with Figure 4 Equivalent functions or comparisons shown Figure 4 A different configuration with more features is shown.

[0086] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the business opportunity information mining method in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the terminal device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0087] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the switching device. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0088] The present invention provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute a business opportunity information mining method.

[0089] The applicant of the present invention has made a detailed explanation and description of the implementation examples of the present invention in conjunction with the drawings in the specification. However, those skilled in the art should understand that the above implementation examples are only preferred implementation schemes of the present invention, and the detailed description is only to help readers better understand the spirit of the present invention, but not to limit the scope of protection of the present invention. On the contrary, any improvements or modifications based on the inventive spirit of the present invention should fall within the scope of protection of the present invention.

[0090] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0091] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. Any changes or replacements that can be easily thought of by those skilled in the art within the technical scope disclosed in the present invention should be covered within the protection scope of the present invention.

Claims

1. A business opportunity information mining method, characterized in that: include: S1, obtain clue information; S2, using the dual-dimensional value to evaluate the value of the clue information to obtain the clue business opportunity value score of the clue information; S3, based on the lead business opportunity value score, determining whether a business opportunity follow-up condition is met, and if it is determined that the business opportunity follow-up condition is met, following up the business opportunity based on a one-click claiming method; S4, determining the contract signing result according to the result of the business opportunity follow-up.

2. The business opportunity information mining method according to claim 1, characterized in that: Obtain clue information, including: Get conversation data; Inputting the conversation data into a trained intent recognition model to obtain business opportunity intent in the conversation data, and generating the clue information based on the business opportunity intent; The trained intention recognition model is obtained by: Preprocessing the conversation data to obtain the preprocessed conversation data; Identifying whether the pre-processed conversation data contains business opportunities, and marking the type of the business opportunities; Converting the preprocessed conversation data into vector representation, and dividing the preprocessed conversation data into a training set, a test set, and a validation set; Input the training set into the intent recognition model for training, and output the text intent of the conversation data, wherein the intent recognition model is a combination of an LSTM model and an Attention model; The intent recognition model is optimized based on the validation set and the evaluation index to obtain the trained intent recognition model.

3. The business opportunity information mining method according to claim 1, characterized in that: The dual-dimensional value includes customer value and market value. The dual-dimensional value is used to evaluate the value of the lead information to obtain the lead business opportunity value score of the lead information, including: Obtaining a unique identifier corresponding to the clue information; Determining a customer value score and a market value score based on the unique identifier; The sum of the customer value score and the market value score is used as the lead opportunity value score.

4. The business opportunity information mining method according to claim 3, characterized in that: Determining the customer value score and the market value score based on the unique identifier includes: Based on the unique identifier, the customer management system interface is called to query the scores of the customer's economic contribution, social effect, and credit status; Calculate the customer value score according to the scores and dimensional proportions of the customer's economic contribution, social effect, and credit status; Determining a realization score and a prospect score of the clue information based on the unique identifier; The market value score is calculated based on the realization score and the prospect score.

5. The business opportunity information mining method according to claim 1, characterized in that: Based on the lead opportunity value score, determine whether the opportunity follow-up conditions are met, including: Determine whether the value of the lead opportunity is greater than a preset value; When it is determined that the lead business opportunity value score is greater than a preset score, it is determined that the business opportunity follow-up condition is met.

6. The business opportunity information mining method according to claim 1, characterized in that: Follow up business opportunities based on one-click claiming, including: Preprocessing the clue information to obtain the preprocessed clue information; Mapping the preprocessed clue information and the target information in the clue pool to a unified dimensional space to generate a vector of the preprocessed clue information and a vector of the target information; Calculating the distance between the vector of the target information and the vector of the preprocessed clue information, and acquiring first information from the target information based on the calculation result; The first information is sorted based on the trained XGBoost model to obtain second information, and the business opportunity is followed up based on the second information.

7. The business opportunity information mining method according to claim 1, characterized in that: Determine the contract signing result based on the follow-up results of the business opportunity, including: If it is determined that the business opportunity is followed up successfully, determining that the contract is signed successfully; In the case where it is determined that the business opportunity follow-up has failed, it is determined that the contract signing has failed.

8. A business opportunity information mining system, characterized in that: include: An acquisition module, used to obtain clue information; An evaluation module, used to evaluate the value of the clue information by using a dual-dimensional value to obtain a clue business opportunity value score of the clue information; A follow-up module is used to determine whether the business opportunity follow-up conditions are met based on the lead business opportunity value score, and if it is determined that the business opportunity follow-up conditions are met, follow up the business opportunity based on a one-click claiming method; The determination module is used to determine the contract signing result according to the result of the business opportunity follow-up.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 7.

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