Intelligent method and system for identifying, classifying and pushing business opportunities of enterprises

Abstract

The invention relates to the technical field of big data processing, and particularly provides an intelligent method and system for identifying, classifying and pushing business opportunities of enterprises, and the method comprises the following steps: S1, carrying out the data collection and preprocessing; s2, carrying out business opportunity identification; s3, business opportunity classification; and S4, business opportunity pushing. Compared with the prior art, accurate business opportunity services can be provided according to the preferences and demands of the users, and the satisfaction degree of the users is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of big data processing, and specifically provides an intelligent method and system for identifying, classifying and pushing business opportunities for enterprises. Background Art

[0002] With the intensification of market competition and the rapid development of science and technology, enterprises are facing more and more business opportunities, but at the same time they are also faced with problems such as difficulty in identifying business opportunities, confusing classification, and inaccurate push.

[0003] Traditional business opportunity management methods can no longer meet the needs of modern enterprises. Summary of the invention

[0004] The present invention aims at addressing the deficiencies of the above-mentioned prior art and provides an intelligent method for identifying, classifying and pushing business opportunities for enterprises with strong practicality.

[0005] A further technical task of the present invention is to provide an intelligent system for identifying, classifying and pushing business opportunities of enterprises that is reasonably designed, safe and applicable.

[0006] The technical solution adopted by the present invention to solve its technical problem is:

[0007] An intelligent method for identifying, classifying and pushing business opportunities for enterprises has the following steps:

[0008] S1, firstly, data collection and preprocessing;

[0009] S2. Identify business opportunities;

[0010] S3, business opportunity classification;

[0011] S4. Business opportunity push.

[0012] Furthermore, in step S1, data is collected from multiple channels, and data cleaning, integration and standardization are performed to form a data set for subsequent analysis.

[0013] Furthermore, in step S2, features related to business opportunities are extracted from the integrated data, and a machine learning model is constructed using natural language processing, data mining and machine learning techniques to learn and train the extracted features; business opportunities are identified for new data through the trained machine learning model, and the identification results and related business opportunity information are output.

[0014] Furthermore, in step S3, a multi-dimensional classification method is adopted to select a suitable classification algorithm to classify business opportunities according to the industry characteristics, market demand and technological development trends of the enterprise, and output detailed information and quantity of each type of business opportunity.

[0015] Furthermore, in step S4, a user profile is constructed for the enterprise according to the industry, scale, and development stage of the enterprise, and a suitable intelligent recommendation algorithm is selected to push business opportunities in combination with the user profile and business opportunity characteristics;

[0016] Develop push strategies based on the needs and preferences of the enterprise, evaluate the push effects, adjust the push strategies in a timely manner, and optimize system performance.

[0017] An intelligent system for enterprise business opportunity identification, classification and push, including a data collection and preprocessing module, a business opportunity identification module, a business opportunity classification module and a business opportunity push module;

[0018] The data collection and preprocessing module is used for subsequent analysis of the data set;

[0019] The business opportunity identification module is used to identify business opportunities for new data and output identification results and related business opportunity information;

[0020] The business opportunity classification module is used to help enterprises understand the distribution of various business opportunities;

[0021] The business opportunity push module is used to timely adjust the push strategy and optimize system performance.

[0022] Furthermore, the data collection and preprocessing module collects data from multiple channels, and performs data cleaning, integration and standardization to form a data set for subsequent analysis.

[0023] Furthermore, the business opportunity identification module extracts features related to business opportunities from the integrated data, uses natural language processing, data mining and machine learning techniques to build a machine learning model, and learns and trains the extracted features; through the trained machine learning model, business opportunities are identified for new data, and the identification results and related business opportunity information are output.

[0024] Furthermore, the business opportunity classification module adopts a multi-dimensional classification method, selects a suitable classification algorithm to classify business opportunities according to the industry characteristics, market demand and technological development trends of the enterprise, and outputs detailed information and quantity of each type of business opportunities.

[0025] Furthermore, the business opportunity push module builds a user profile for the enterprise according to the industry, scale, and development stage of the enterprise, and selects a suitable intelligent recommendation algorithm to push business opportunities based on the user profile and business opportunity characteristics;

[0026] Develop push strategies based on the needs and preferences of the enterprise, evaluate the push effects, adjust the push strategies in a timely manner, and optimize system performance.

[0027] Compared with the prior art, the intelligent method and system for identifying, classifying and pushing business opportunities of an enterprise of the present invention has the following outstanding beneficial effects:

[0028] The present invention can automatically collect and analyze enterprise-related data, realize intelligent identification, classification and push of business opportunities, and improve the efficiency and accuracy of business opportunity management. The use of big data analysis and artificial intelligence technology can deeply explore potential business opportunities in data and provide enterprises with more business opportunities.

[0029] It supports personalized push and continuous optimization, and can provide accurate business opportunity services based on user preferences and needs, thereby improving user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Attached Figure 1 It is a flowchart of an intelligent method for identifying, classifying and pushing business opportunities for enterprises. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention is further described in detail below in conjunction with specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] A best embodiment is given below:

[0034] like Figure 1 As shown, an intelligent method for identifying, classifying and pushing business opportunities in this embodiment has the following steps:

[0035] S1, firstly, data collection and preprocessing;

[0036] Collect data from multiple channels, including market research reports, competitor analysis, social media, industry news, patent databases, etc., and perform data cleaning, integration and standardization to form a data set that can be used for subsequent analysis.

[0037] S2. Identify business opportunities;

[0038] Extract features related to business opportunities from the integrated data, such as technical keywords, market demand words, partner information, etc.; use natural language processing, data mining, machine learning and other technologies to build a machine learning model to learn and train the extracted features.

[0039] Through the trained machine learning model, business opportunities are identified for new data, and the identification results and related business opportunity information are output.

[0040] S3, business opportunity classification;

[0041] A multi-dimensional classification method is adopted, including technology-based business opportunities, market-based business opportunities, cooperation-based business opportunities, etc.; according to the company's industry characteristics, market demand, technological development trends and other factors, appropriate classification algorithms (such as decision trees, support vector machines, etc.) are selected to classify business opportunities; the system outputs detailed information and quantity of various business opportunities to help companies understand the distribution of various business opportunities.

[0042] S4, business opportunity push;

[0043] Build a user profile for the enterprise based on its industry, scale, development stage and other characteristics, including the enterprise's interests, preferences, needs, etc.; select appropriate intelligent recommendation algorithms (such as collaborative filtering, content filtering, etc.) to push business opportunities based on the user profile and business opportunity characteristics; formulate push strategies based on the enterprise's needs and preferences, such as push frequency, push method (email, SMS, APP push, etc.), push content, etc.; evaluate the push effect, including indicators such as click-through rate and conversion rate, so as to timely adjust the push strategy and optimize system performance.

[0044] Based on the above method, an intelligent system for enterprise business opportunity identification, classification and push in this embodiment includes a data collection and preprocessing module, a business opportunity identification module, a business opportunity classification module and a business opportunity push module;

[0045] The data collection and preprocessing module is used for subsequent analysis of the data set;

[0046] The business opportunity identification module is used to identify business opportunities for new data and output the identification results and related business opportunity information;

[0047] The business opportunity classification module is used to help enterprises understand the distribution of various business opportunities;

[0048] The business opportunity push module is used to timely adjust push strategies and optimize system performance.

[0049] Among them, the data collection and preprocessing module collects data from multiple channels, and performs data cleaning, integration and standardization to form a data set for subsequent analysis.

[0050] The business opportunity identification module extracts features related to business opportunities from the integrated data, uses natural language processing, data mining and machine learning techniques to build a machine learning model, and learns and trains the extracted features; through the trained machine learning model, it identifies business opportunities for new data and outputs the identification results and related business opportunity information.

[0051] The business opportunity classification module adopts a multi-dimensional classification method. According to the company's industry characteristics, market demand and technological development trends, it selects appropriate classification algorithms to classify business opportunities and outputs detailed information and quantity of various business opportunities.

[0052] The business opportunity push module builds user portraits for enterprises based on their industry, scale, and development stage, and selects appropriate intelligent recommendation algorithms to push business opportunities based on user portraits and business opportunity characteristics;

[0053] Develop push strategies based on the needs and preferences of the enterprise, evaluate the push effects, adjust the push strategies in a timely manner, and optimize system performance.

[0054] The above-mentioned specific implementations are only specific cases of the present invention. The patent protection scope of the present invention includes but is not limited to the above-mentioned specific implementations. Any technical solutions that comply with the claims of the present invention and any appropriate changes or substitutions made by ordinary technicians in the relevant technical field shall fall within the patent protection scope of the present invention.

[0055] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent method for identifying, classifying and pushing business opportunities for enterprises, characterized in that: The steps are as follows: S1, firstly, data collection and preprocessing; S2. Identify business opportunities; S3, business opportunity classification; S4. Business opportunity push.

2. The intelligent method for identifying, classifying and pushing business opportunities according to claim 1, characterized in that: In step S1, data is collected from multiple channels, and the data is cleaned, integrated, and standardized to form a data set for subsequent analysis.

3. The intelligent method for identifying, classifying and pushing business opportunities according to claim 2, characterized in that: In step S2, features related to business opportunities are extracted from the integrated data, and a machine learning model is constructed using natural language processing, data mining and machine learning techniques to learn and train the extracted features; business opportunities are identified for new data through the trained machine learning model, and the identification results and related business opportunity information are output.

4. The intelligent method for identifying, classifying and pushing business opportunities according to claim 3, characterized in that: In step S3, a multi-dimensional classification method is adopted to select a suitable classification algorithm to classify business opportunities according to the industry characteristics, market demand and technological development trends of the enterprise, and output detailed information and quantity of each type of business opportunity.

5. The intelligent method for identifying, classifying and pushing business opportunities according to claim 4, characterized in that: In step S4, a user profile is constructed for the enterprise according to the industry, scale, and development stage of the enterprise, and a suitable intelligent recommendation algorithm is selected to push business opportunities based on the user profile and business opportunity characteristics; Develop push strategies based on the needs and preferences of the enterprise, evaluate the push effects, adjust the push strategies in a timely manner, and optimize system performance.

6. An intelligent system for identifying, classifying and pushing business opportunities for enterprises, characterized in that: It includes data collection and preprocessing module, business opportunity identification module, business opportunity classification module and business opportunity push module; The data collection and preprocessing module is used for subsequent analysis of the data set; The business opportunity identification module is used to identify business opportunities for new data and output identification results and related business opportunity information; The business opportunity classification module is used to help enterprises understand the distribution of various business opportunities; The business opportunity push module is used to timely adjust the push strategy and optimize system performance.

7. The intelligent system for identifying, classifying and pushing business opportunities according to claim 6, characterized in that: The data collection and preprocessing module collects data from multiple channels, and performs data cleaning, integration and standardization to form a data set for subsequent analysis.

8. The intelligent system for identifying, classifying and pushing business opportunities according to claim 7, characterized in that: The business opportunity identification module extracts features related to business opportunities from the integrated data, uses natural language processing, data mining and machine learning techniques to build a machine learning model, and learns and trains the extracted features; through the trained machine learning model, business opportunities are identified for new data, and the identification results and related business opportunity information are output.

9. The intelligent system for identifying, classifying and pushing business opportunities according to claim 8, characterized in that: The business opportunity classification module adopts a multi-dimensional classification method, selects a suitable classification algorithm to classify business opportunities according to the industry characteristics, market demand and technological development trends of the enterprise, and outputs detailed information and quantity of various business opportunities.

10. The intelligent system for identifying, classifying and pushing business opportunities according to claim 9, characterized in that: The business opportunity push module builds a user profile for the enterprise according to the industry, scale, and development stage of the enterprise, and selects a suitable intelligent recommendation algorithm to push business opportunities based on the user profile and business opportunity characteristics; Develop push strategies based on the needs and preferences of the enterprise, evaluate the push effects, adjust the push strategies in a timely manner, and optimize system performance.

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