Bidding item recommendation method and device, equipment, medium and product

Abstract

The invention discloses a bidding project recommendation method and device, equipment, a medium and a product, and relates to the technical field of project recommendation, the method comprises the following steps: determining bidding tendency information and historical bidding information of a to-be-bid enterprise when a bidding instruction of the to-be-bid enterprise is received; determining a candidate bidding item set of the to-be-bid enterprise based on the bidding tendency information and the target bidding item set, wherein candidate bidding items in the candidate bidding item set are bidding items in the target bidding item set, wherein the matching degree of the candidate bidding items and the bidding tendency information meets a preset bidding matching condition; and determining a target bidding project of the to-be-bidden enterprise based on the historical bidding information and the matching degree between each candidate bidding project and the bidding tendency information, wherein the target bidding project is used for indicating the to-be-bidden enterprise to perform bidding work. According to the method, the project which meets the bidding demand of the to-be-bid enterprise and has a relatively high bidding winning probability can be recommended for the to-be-bid enterprise by combining the historical bidding information of the to-be-bid enterprise and the matching degree between each bidding project in the target bidding project set and the bidding tendency information.

Description

Technical Field

[0001] The present invention relates to the technical field of project recommendation, and in particular to a method, device, equipment, medium and product for recommending bidding projects. Background Art

[0002] Bidding is a form of comprehensive economic responsibility system to promote competition in the field of infrastructure construction. The general process of bidding is: the tendering party determines and announces the conditions or requirements for winning the bid, allowing interested units to bid and become bidders, and then determines the winning bidder based on the bidding information of multiple bidders.

[0003] In order to reduce bidding costs, speed up bidding efficiency and adapt to digital development, more and more bidding activities are conducted on the Internet. For example, the tenderer publishes project information, conditions or requirements for winning the bid on the online bidding platform. The bidder checks the bidding information released by the tenderer on the online bidding platform and bids in combination with its own qualification information and bidding requirements. The tenderer verifies the bidding information of the bidder and determines the winning bidder. For the bidder, in order to improve the success rate of winning the bid, technical personnel will be arranged to pay attention to the dynamics of the bidding platform in real time, browse the bidding information on the online bidding platform, determine the bidding information that is suitable or interesting to the enterprise, and conduct bid evaluation and bidding. The method of screening bidding information is generally that technical personnel match the established conditions preset by the enterprise on the online bidding platform to screen out bidding information that matches the expected bidding information.

[0004] However, the method of matching tender information with bidding information requires enterprises to set labels separately according to their own conditions. The label categories are complicated and diverse, lack objectivity and have low flexibility. Any change in demand requires adjustment of the screening items or labels, and the cost of information screening is high. Secondly, the manual method of screening, evaluating and bidding tender information has low timeliness and accuracy, which is not conducive to bidders to screen tender information that is easy to win and suitable for them. Bidding work is prone to decision-making errors and even affects the development of the enterprise. Summary of the invention

[0005] The present invention provides a method, device, equipment, medium and product for recommending bidding projects, which are intended to combine the historical bidding information of the bidding enterprises and the matching degree of the bidding tendency information of each bidding project in the target bidding project set with the bidding enterprises, and recommend projects that meet the bidding needs of the bidding enterprises and have a higher probability of winning the bid.

[0006] According to one aspect of the present invention, a method for recommending bidding items is provided, the method comprising:

[0007] When receiving the bidding instruction of the bidding enterprise, determining the bidding tendency information and historical bidding information of the bidding enterprise;

[0008] Based on the bidding tendency information and the target bidding project set, determine the candidate bidding project set of the bidding enterprise, wherein the target bidding project set includes at least one bidding project, and the candidate bidding project set includes at least one candidate bidding project, and the candidate bidding project is a bidding project in the target bidding project set whose matching degree with the bidding tendency information meets the preset bidding matching condition;

[0009] Based on the historical bidding information and the matching degree between at least one candidate bidding item and the bidding tendency information, a target bidding item of the bidding enterprise is determined, wherein the target bidding item is used to instruct the bidding enterprise to conduct bidding work.

[0010] According to another aspect of the present invention, a bidding project recommendation device is provided. The bidding project recommendation device is used to implement the bidding project recommendation method in any embodiment of the present invention. The device includes:

[0011] An information determination module, for determining the bidding tendency information and historical bidding information of the bidding enterprise upon receiving the bidding instruction of the bidding enterprise;

[0012] A project determination module is used to determine a candidate bidding project set of the enterprise to be bid based on the bidding tendency information and the target bidding project set, wherein the target bidding project set includes at least one bidding project, and the candidate bidding project set includes at least one candidate bidding project, and the candidate bidding project is a bidding project in the target bidding project set whose matching degree with the bidding tendency information meets a preset bidding matching condition;

[0013] The bidding recommendation module is used to determine the target bidding project of the bidding enterprise based on the historical bidding information and the matching degree of at least one candidate bidding project with the bidding tendency information, wherein the target bidding project is used to instruct the bidding enterprise to conduct bidding work.

[0014] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0015] at least one processor; and a memory communicatively coupled to the at least one processor;

[0016] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the method for recommending bidding items in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for recommending bidding items in any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the method for recommending bidding items according to any embodiment of the present invention is implemented.

[0019] The method for recommending bidding projects of the present invention comprises: when receiving the bidding instruction of the enterprise to be bid, determining the bidding tendency information and historical bidding information of the enterprise to be bid; determining the candidate bidding project set of the enterprise to be bid based on the bidding tendency information and the target bidding project set, wherein the target bidding project set includes at least one bidding project, and the candidate bidding project set includes at least one candidate bidding project, and the candidate bidding project is a bidding project whose matching degree with the bidding tendency information in the target bidding project set meets the preset bidding matching condition; determining the target bidding project of the enterprise to be bid based on the historical bidding information and the matching degree of at least one candidate bidding project with the bidding tendency information, wherein the target bidding project is used to instruct the enterprise to be bid to bid. The technical scheme of the present invention determines the candidate bidding project set that meets the bidding needs of the enterprise to be bid from the target bidding project set according to the matching degree of each bidding project in the target bidding project set with the bidding tendency information of the enterprise to be bid, and then automatically recommends the project that meets its bidding needs and has a higher probability of winning the bid for the enterprise to be bid according to the matching degree of each bidding project in the candidate bidding project set with the enterprise qualification information of the enterprise to be bid, thereby improving the winning probability of the enterprise to be bid, improving the recommendation efficiency of the project recommendation work, and saving the cost of the bidding recommendation work. It solves the problem that the method of matching bidding information with tender information requires enterprises to set labels separately according to their own conditions. The label categories are complicated and diverse, lack objectivity and have low flexibility. Any change in demand requires adjustment of the screening items or labels. The cost of information screening is high. The manual method of screening, evaluating and bidding for tender information has low timeliness and accuracy, which is not conducive to bidders to screen tender information that is easy to win and suitable for them. The bidding work is prone to decision-making errors and even affects the development of the enterprise.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0022] Figure 1It is a flowchart of a method for recommending a bidding project provided by the present invention;

[0023] Figure 2 This is a schematic diagram of the similarity relationship between a project and an enterprise provided by the present invention;

[0024] Figure 3 It is a schematic diagram of the similarity relationship between projects provided by the present invention;

[0025] Figure 4 It is a schematic diagram of bidding resistance information of a bidding enterprise provided by the present invention;

[0026] Figure 5 It is a structural schematic diagram of a recommendation device for a bidding project provided by the present invention;

[0027] Figure 6 It is a structural schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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 should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Figure 1The flowchart of the method for recommending bidding projects provided by the present invention is as follows. This embodiment can be applied to recommending bidding projects, competing enterprises and related projects for enterprises. The method can be executed by the bidding project recommendation device provided by the present invention. The device can be implemented in the form of hardware and / or software. In a specific embodiment, the device can be integrated into an electronic device. The following embodiments will be described by taking the device integrated into an electronic device as an example. Figure 1 , the method specifically comprises the following steps:

[0031] S101. When receiving a bidding instruction from a bidding enterprise, determining the bidding tendency information and historical bidding information of the bidding enterprise.

[0032] Among them, the bidding instructions of the bidding enterprise can be understood as the project recommendation instruction information triggered by the bidding enterprise received by the processor. For example, the bidding enterprise starts the bidding screening task on the online bidding platform, and the bidding enterprise enters the bidding keywords or project screening keywords on the online bidding platform. When the processor receives the bidding instructions of the bidding enterprise, it obtains the bidding tendency information and historical bidding information of the bidding enterprise, so as to recommend projects that meet its bidding tendency and have a high winning rate to the bidding enterprise, shorten the project matching and screening time of the bidding enterprise, and improve the bidding quality. The bidding tendency information can be understood as the project preference of the bidding enterprise, including but not limited to the project type, geographical location, construction time, project attributes, etc., which is used to indicate the bidding purpose of the bidding enterprise. The historical bidding information can be understood as the historical bidding situation of the bidding enterprise, including but not limited to the projects that have been bid, the enterprise qualifications when bidding for the project, the bidding time of the project and the winning situation. Specifically, the historical bidding information includes the historical bidding data of the bidding companies and the second historical winning bid data. The historical bidding data can be understood as all the bidding situations of the bidding companies that are currently available or the bidding situations within a certain period of time. The second historical winning bid data can be understood as information such as the successfully bid projects in the historical bidding data, the company qualifications when bidding for the projects, and the bidding time of the projects.

[0033] The advantage of this setting is that the bidding-related information of the bidding enterprise is obtained only when the bidding instruction of the bidding enterprise is received. This not only protects the privacy of the bidding data and saves the workload of the processor, but also obtains comprehensive bidding information recommendation data to ensure the reliability of the recommended projects.

[0034] Further, the bidding tendency information and historical bidding information of the bidding enterprise are determined, including: determining the enterprise qualification information, enterprise performance information, enterprise reputation information, enterprise personnel information, enterprise development plan, current bidding plan and historical bidding data of the bidding enterprise, wherein the historical bidding data is the bidding data of the bidding enterprise within a preset time; processing the enterprise qualification information, enterprise performance information, enterprise reputation information and enterprise personnel information to obtain the bidding competition information of the bidding enterprise; processing the enterprise development plan and the current bidding plan to obtain bidding tendency information; determining the data of successful bidding in the historical bidding data as the second historical winning bid data.

[0035] Among them, enterprise qualification information can be understood as proof of the qualifications / capabilities that an enterprise must possess to engage in business activities in a specific field or industry. It is an important way for an enterprise to demonstrate its strength and reputation to the outside world, including but not limited to qualification certificates, business scope, registered capital, technical capabilities, performance records, management level, legal compliance, industry certification, financial status and social responsibility. Enterprise performance information can be understood as a record of the work results, business achievements and market performance completed by an enterprise in a certain period of time, which is used to reflect the enterprise's operating efficiency, market competitiveness and development potential. It is an important basis for evaluating the enterprise's operating status and future development potential, including but not limited to financial performance, market share, project completion, customer satisfaction, contract performance, R&D results, employee performance, social responsibility performance, brand influence, supply chain management, risk management and strategic goal achievement. Enterprise reputation information can be understood as various information and records reflecting the credit status, integrity and public image of an enterprise in social and economic activities, including but not limited to credit records, legal proceedings records, administrative penalty records, contract performance, customer evaluation, employee evaluation, social responsibility performance, intellectual property protection, quality certification, industry rating, media exposure, corporate honors, supply chain reputation and financial transparency. Enterprise personnel information refers to a series of data and information related to enterprise employees, including but not limited to basic information of employees, educational background, work experience, skills and qualifications, positions and responsibilities, compensation and benefits, performance evaluation, training and development, attendance records, health and safety, labor contracts, personal behavior records, resignation information and background checks. Enterprise development planning can be understood as the process of systematic planning and designing the development direction, goals, strategies, action plans and resource allocation in a certain period of time in the future in order to achieve long-term goals and visions. Enterprise development planning is dynamic and can be adjusted and optimized in a timely manner according to changes in the external environment and changes in internal conditions of the enterprise, including but not limited to vision and mission, strategic goals, market analysis, product / service planning, technology development, human resource planning, financial planning, organizational structure and management system, marketing strategy, supply chain management, risk management, social responsibility and sustainable development, internationalization strategy and implementation plan and timetable. Currently, bidding planning can be understood as a series of strategies and action plans formulated by an enterprise or organization in order to participate in the bidding activities of a specific project, including the evaluation of upcoming bidding opportunities, preparation of resources, preparation of bidding documents, formulation of bidding strategies and management of the bidding process, etc., which are crucial to improving the winning rate, optimizing resource allocation and enhancing corporate competitiveness.An enterprise's historical bidding data can be understood as the various information and records accumulated by the enterprise in past bidding activities. These data are of great value for analyzing the enterprise's bidding performance, optimizing future bidding strategies and improving the bid winning rate. By analyzing historical bidding data, enterprises can identify the advantages and disadvantages in the bidding process, adjust bidding strategies, optimize resource allocation, and improve the quality of bidding documents, thereby achieving better results in future bidding activities.

[0036] The preset time can be understood as a time period set in advance, for example, 6 months, 1 year, 2 years, etc. The purpose of this setting is to ensure the effectiveness and representativeness of the data, so as to reduce the processing workload of the processor while ensuring that the bidding data is representative. The bidding competition information of the bidding enterprise can be understood as the comprehensive information obtained after the information fusion of the enterprise qualification information, enterprise performance information, enterprise reputation information and enterprise personnel information, which is used to represent the competition situation of the bidding enterprise when facing the bidding project. The bidding tendency information can be understood as the project preference, habit or strategic tendency of the enterprise at the current stage obtained after processing and analyzing the enterprise development plan and the current bidding plan, which is used to assist the processor to quickly screen out the projects favored by the bidding enterprise from the project library.

[0037] The advantage of this setting is that it can combine the comprehensive corporate data of the companies to be bid, obtain the bidding tendency information and historical bidding information of the companies to be bid, ensure that the project recommendation will not deviate from the company's development plan, and improve the quality of project recommendations.

[0038] S102: Based on the bidding tendency information and the target bidding project set, determine the candidate bidding project set of the bidding enterprise.

[0039] Among them, the target bidding project set can be understood as a project information set that summarizes all online and offline bidding projects. The target bidding project set includes at least one bidding project. The candidate bidding project set can be understood as a project information set composed of bidding projects in the target bidding project set that meet the bidding tendency information of the bidding enterprises. The candidate bidding project set includes at least one candidate bidding project. The candidate bidding project is a bidding project in the target bidding project set whose matching degree with the bidding tendency information meets the preset bidding matching conditions.

[0040] Specifically, the preset bidding matching conditions are used to screen the bidding projects in the target bidding project set that meet the bidding tendency information of the bidding enterprise. The matching degree can be understood as a quantitative evaluation index. It is assumed that the preset bidding matching conditions are that the bidding projects with a matching degree of not less than 80% with the bidding tendency information in the target bidding project set are candidate bidding projects. The matching degree of each bidding project in the target bidding project set and the bidding tendency information will be calculated, and the set of bidding projects with a matching degree of not less than 80% will be determined as the candidate bidding project set. It is worth noting that the calculation of the matching degree only needs to use the type indication information of the bidding project, and does not need to parse all the project information. The advantage of this setting is that it saves the computing power of the processor.

[0041] In one implementation, the target bidding project set includes road construction 1, road construction 2, house construction 1, and house construction 2. Assuming that the bidding tendency information is road construction, the candidate bidding project set consists of road construction 1 and road construction 2.

[0042] The advantage of this setting is that it can preliminarily screen the bidding projects based on the bidding tendency information of the bidding enterprises, avoid calculating the matching degree between the projects with incompatible tendencies and the bidding enterprises, save the workload of the processor, and speed up the project recommendation process.

[0043] Optionally, the target bidding project set is determined and updated in real time before the candidate bidding project set of the bidding enterprise is determined based on the bidding tendency information and the target bidding project set. Determining the target bidding project set specifically includes: determining the initial bidding project set based on the bidding information on the preset bidding platform, wherein the number of preset bidding platforms is at least one, and the initial bidding project set includes at least one bidding project; processing the bidding requirements of each bidding project in the initial bidding project set to obtain the dimensional information of each bidding project in the initial bidding project set, wherein the bidding requirements include at least one sub-bidding requirement and the priority of at least one sub-bidding requirement, and the sub-bidding requirements include bidding conditions, project information, bidding scale, historical bidding information and enterprise qualification requirement information, and the historical bidding information includes historical bidding data and the first historical winning bid data; based on the dimensional information of each bidding project in the initial bidding project set, determining the target bidding project set.

[0044] The preset bidding platform can be understood as a predefined bidding information acquisition database. The preset bidding platform can be defined as comprehensive as possible. The advantage of such a setting is that comprehensive bidding information can be obtained as much as possible. The information specifications and information formats on each platform are different. The initial bidding project set can be understood as a set of bidding project information after data normalization of all the acquired bidding project information. The advantage of such a setting is that the processing time and processing volume of the processor are saved. The bidding requirements of the project can be understood as a series of specific requirements and conditions proposed by the tenderer to potential contractors or suppliers during the bidding process. It can cover various expectations and standards in the project implementation process to ensure that the final selected contractor or supplier can meet the project goals and ensure the progress and quality of the project implementation, including but not limited to technical specifications, bill of quantities, construction period requirements, qualification requirements, commercial terms, compliance with laws and regulations, safety and environmental protection requirements, quality management system, after-sales service, bidding document requirements, bid evaluation methods and standards, contract terms and conditions, specific technical or process requirements, cooperation and coordination requirements. The dimensional information of a bidding project refers to a data set obtained after a multi-faceted analysis of the bidding project in combination with the bidding requirements of the bidding project, which is used to fully understand the complexity and requirements of the project. The dimensional information is used to assist the tenderer to more accurately define the project requirements, the bidder to better prepare the bidding plan, and the regulator and stakeholders to more comprehensively evaluate the feasibility and impact of the project. The dimensional information includes but is not limited to project scale, project type, geographical location, time dimension, technical requirements, quality standards, environmental impact, socio-economic impact, laws and regulations, risk management, funding sources, supply chain and logistics, human resources, contract type, bidding method, evaluation criteria, project goals and vision, project management, innovation and R&D, and sustainability.

[0045] Specifically, the priority of the sub-tendering demand can be understood as the importance of the sub-tendering demand, the historical tendering data can be understood as the historical bidding situation of the tendering project, including the number of historical tendering, the historical tendering time, the detailed information of the historical tendering, etc. The first historical winning bid data can be understood as the information of the historical winners of the tendering project, including but not limited to the qualification information of the winners, which is used to indicate whether the bidders have made bids and to instruct the processor to determine the matching degree between the enterprise to be bid and the tendering project. Determining the target tendering project set based on the dimensional information of each tendering project in the initial tendering project set can be understood as summarizing and arranging the parameters of the tendering projects according to the dimensional information of the tendering projects, and determining the information set composed of the arranged tendering projects as the target tendering project set. The information of the projects in the project set is sorted, and the personalized information of the projects and the weight of the personalized information are more prominent. The advantage of such a setting is that a tendering project set with unified data and format and obvious personalized information can be obtained, so that the processor can recommend suitable tendering projects for the enterprises to be bid.

[0046] The present invention can use AI models to extract multidimensional features of project bidding requirements, construction content, etc., establish a multidimensional feature library, obtain a multidimensional data feature portrait of the project, and also consider the bidding preferences, historical shortlisted / winning records, cooperative enterprises and other information processing enterprises' personalized features to form a personalized portrait of the enterprise. The multidimensional features of the present invention can be used for prompt engineering iteration, prompt tuning, and then provide the model with more accurate and concise information to improve the accuracy of model extraction. It can also be used for secondary cleaning of bidding requirement features and project content features, so that this part of the features and the feature library are accurately connected to achieve the purpose of accurate matching.

[0047] In one embodiment, S102 specifically includes: determining a first intermediate bidding project set based on the bidding type information and bidding tendency information of each bidding project in the target bidding project set, wherein the first intermediate bidding project set includes at least one first intermediate bidding project, and the first intermediate bidding project is a bidding project whose similarity between the bidding type information and the bidding tendency information in the target bidding project set is greater than a preset similarity threshold; calculating the matching degree between the bidding competition information and the at least one first intermediate bidding project, and obtaining at least one project matching result, wherein the project matching result corresponds one-to-one to the first intermediate bidding project; determining a second intermediate bidding project set based on at least one project matching result and a preset matching threshold, wherein the second intermediate bidding project set includes at least one second intermediate bidding project, and the second intermediate bidding project is the first intermediate bidding project corresponding to the project matching result whose matching degree is greater than the preset matching threshold; sorting the at least one second intermediate bidding project in order of matching degree from large to small, and determining a candidate bidding project set based on the sorting result and the preset project screening value.

[0048] Among them, the bidding type information can be understood as the attribute information of the bidding project, which is used to indicate the implementation purpose of the bidding project. The preset similarity threshold is a quantitative evaluation value, which is used to screen the bidding projects that meet the bidding tendency information of the companies to be bid, including but not limited to 80%, 85% and 90%. Taking 85% as an example, when the similarity between the bidding type information and the bidding tendency information of the bidding project is not greater than 85%, it is considered that the bidding project does not meet the bidding tendency information of the companies to be bid, and there is no need to recommend it to the companies to be bid. When the similarity between the bidding type information and the bidding tendency information of the bidding project is greater than 85%, it is considered that the bidding project meets the bidding tendency information of the companies to be bid, and it is necessary to further determine whether to recommend it to the companies to be bid. The first intermediate bidding project is the bidding project in the target bidding project set that meets the bidding tendency information of the companies to be bid. The preset matching threshold can be understood as the second quantitative evaluation value, which is used to screen the bidding projects that are more closely matched with the bidding competition information of the companies to be bidders among the bidding projects that meet the bidding tendency information of the companies to be bidders. The bidding projects that meet the bidding requirements of the bidding projects and do not waste the company's qualifications are the best choices for the companies to be bidders. The project matching results can be understood as the mutual matching results of the companies to be bidders and the bidding projects. Only the bidding projects corresponding to the project matching results with a matching degree exceeding the preset matching threshold are worthy of consideration by the companies to be bidders. The second intermediate bidding project can be understood as an indicator project that not only meets the bidding tendency information of the companies to be bidders but also has a matching degree with the bidding competition information exceeding the preset matching threshold.

[0049] Specifically, recommending bidding projects for enterprises to be bid is a process of selecting the best from the best and the more suitable from the suitable. It is not necessary to recommend all bidding projects, but only a preset number of better projects. The preset project screening value can be understood as a preset number of recommended projects, for example, 3, 5, 8, etc. Taking 5 as an example, at least one second intermediate bidding project will be sorted in order from large to small according to the matching degree, and the top 5 projects will be determined as candidate bidding projects. It is worth noting that if the number of second intermediate bidding projects is less than 5, the second intermediate bidding project can be directly determined as a candidate bidding project, and the second intermediate bidding project set can be determined as a candidate bidding project set.

[0050] The advantage of this arrangement is that the bidding projects suitable for recommendation to the bidding enterprises are determined by layer-by-layer screening and matching, and the data screened out in the previous layer of screening logic does not need to be processed further, saving the computing power of the processor. Secondly, the present invention can store the data of the recommendation process, so that the data search process can be checked, so as to assist the bidding enterprises in data tracing.

[0051] S103: Determine the target bidding project of the bidding enterprise based on the historical bidding information and the matching degree between at least one candidate bidding project and the bidding tendency information.

[0052] Among them, the target bidding project can be understood as one or more bidding projects that are suitable for the bidding tendency information and bidding competition information of the bidding enterprises and the bidding enterprises have a higher probability of winning the bid. The target bidding project is used to instruct the bidding enterprises to conduct bidding work, improve the company's bidding success rate, and save the company's bidding analysis time.

[0053] Specifically, determining the target bidding project of the bidding enterprise based on the historical bidding information and the matching degree between at least one candidate bidding project and the bidding tendency information can be understood as adjusting the matching degree between the candidate bidding project and the bidding tendency information in combination with the historical bidding information of the enterprise, re-determining the matching degree between the candidate bidding project and the bidding tendency information, and determining the target bidding project that is more suitable for the enterprise's bidding based on the adjusted matching degree. The advantage of such a setting is that the influence of the historical bidding information of the bidding enterprise on the matching degree between the candidate bidding project and the bidding tendency information can be considered, and projects can be recommended to the bidding enterprise in a practical and theoretical way, thereby improving the feasibility of the target bidding project.

[0054] In one embodiment, S103 may specifically include: determining a first similarity between the enterprise to be bid and at least one candidate bidding project based on the matching degree between at least one candidate bidding project and the bidding tendency information; processing historical bidding data, second historical winning bid data, bidding competition information and at least one candidate bidding project to obtain a second similarity between the enterprise to be bid and at least one candidate bidding project; using the first similarity and the second similarity, adjusting the matching degree between the enterprise to be bid and at least one candidate bidding project, and determining the target bidding project based on the matching adjustment result.

[0055] Different evaluation items have different weights. The present invention can adjust the ranking of candidate bidding projects in combination with the importance of each evaluation item so as to extract the target bidding project. Among them, the first similarity can be understood as the similarity between the enterprise to be bid and each candidate bidding project determined by the processor according to the preset similarity matching logic, and the second similarity can be understood as the similarity between the enterprise to be bid and each candidate bidding project after considering the historical bidding data, the second historical winning bid data and the bidding competition information. Similarity is also a quantitative value of the degree of matching. The first similarity can be understood as the theoretical solution result, and the second similarity can be understood as the practical additional result. The present invention can fuse the two results according to the preset weight ratio to obtain a new matching degree between the enterprise to be bid and at least one candidate bidding project, that is, the matching degree between the enterprise to be bid and at least one candidate bidding project adjusted by the first similarity and the second similarity, and then determine the bidding project corresponding to the preset number of similarities before the ranking in the adjusted matching degree as the target bidding project.

[0056] Exemplarily, assuming that the weight of the first similarity is 0.6 and the weight of the second similarity is 0.4, the first similarity indicates that the similarity between Project 1 and the enterprise to be bid is 88%, and the similarity between Project 2 and the enterprise to be bid is 89%. The second similarity indicates that the similarity between Project 1 and the enterprise to be bid is 89%, and the similarity between Project 2 and the enterprise to be bid is 88%. After similarity adjustment based on the weights and the two similarities, the similarity between Project 1 and the enterprise to be bid is (88%*0.6+89%*0.4)=88.4%, and the similarity between Project 2 and the enterprise to be bid is (89%*0.6+88%*0.4)=88.6%.

[0057] The advantage of this setting is that the matching degree between the bidding project and the bidding enterprise can be adjusted based on the historical bidding and winning situation of the bidding enterprise, and local data sources can be increased to determine the bidding project that is more suitable for the bidding enterprise.

[0058] Optionally, the method also includes: determining the bidding resistance information and alternative bidding projects of the enterprise to be bid, wherein the bidding resistance information includes the competing enterprises of the enterprise to be bid and the competitiveness of the competing enterprises, the competing enterprises are enterprises that meet preset competition conditions among the bidding enterprises of the target bidding project, and the alternative bidding projects are bidding projects in the associated projects of the target bidding project whose matching degree with the bidding competition information of the enterprise to be bid meets the preset bidding conditions; and displaying the bidding resistance information and the alternative bidding projects.

[0059] The present invention can also summarize the public information of the bidding enterprises of the target bidding project of the bidding enterprise, which includes but is not limited to the enterprise qualification information, enterprise performance information, enterprise reputation information, enterprise personnel information, enterprise development plan, current bidding plan and historical bidding data of the bidding enterprises. According to the above public information of the bidding enterprises, one or more enterprises with the most competitiveness among the bidding enterprises can be determined. These enterprises can be considered as the rival enterprises of the bidding enterprise, that is, the bidding resistance information. The preset competition conditions can be the top 5 enterprises among the competing enterprises with a matching degree of more than 80% with the target bidding enterprise, or the top 3 enterprises among the competing enterprises with a matching degree of more than 90% with the target bidding enterprise. This embodiment does not limit this, and mainly prompts the degree of competition of the target bidding project of the bidding enterprise to assist the bidding enterprise in bidding, for example, continue bidding, change bidding projects, etc. The alternative bidding projects can be understood as bidding projects among the related projects of the target bidding project determined by the processor after combining the project information of similar projects of the target bidding project, the enterprise information of the enterprise to be bid and the bidding requirements, and the matching degree with the bidding competition information of the enterprise to be bid meets the pre-selected bidding conditions, that is, the projects that the enterprise to be bid is more likely to win the bid, so as to improve the winning rate of the enterprise to be bid and recommend bidding projects that meet its bidding tendency information as much as possible.

[0060] The present invention will display bidding resistance information and alternative bidding projects. The purpose of such setting is to enable the bidding enterprise to view competitor information and alternative project information more intuitively, so that it can better conduct bidding work and improve the bidding experience of the bidding enterprise. Furthermore, the present invention can not only match the association relationship between projects and enterprises, but also match the association relationship between projects and the association relationship between enterprises. Among them, the association relationship between projects can be used to determine the alternative project information, and the association relationship between enterprises can be used to evaluate the competitiveness of the bidding enterprise when bidding.

[0061] Figure 2 This is a schematic diagram of the similarity relationship between a project and an enterprise provided by the present invention. When matching similarity, not only the relationship between the project type and the enterprise's preference information will be considered, but also the project's bidding conditions and the enterprise's qualification information and historical bidding information will be considered. The two will correspond to each other and match to determine the similarity between the project and the enterprise. Alternatively, the projects that can be bid can be matched first based on the project type and the enterprise's preference information, and then the final similarity is determined based on the project's bidding conditions and the enterprise's qualification information and historical bidding information, and finally the projects that need to be recommended to the enterprise are determined based on the similarity between the enterprise and multiple projects.

[0062] Figure 3 This is a schematic diagram of the similarity relationship between projects provided by the present invention. It can be seen from the figure that when calculating the similarity of the projects, they will be matched according to the basic requirements, qualification requirements and construction scope, and finally the similarity between the two will be obtained. The basic requirements include but are not limited to construction projects, project amounts and project types, the qualification requirements include but are not limited to contracting levels, certificate status, personnel status and filing status, and the construction scope includes but is not limited to project length, project location, project area, traffic improvement status and rainwater construction status.

[0063] Figure 4 It is a schematic diagram of bidding resistance information of a bidding enterprise provided by the present invention. Item 1 represents the target bidding project of the bidding enterprise. It can be seen from the figure that the present invention can display the information of competing enterprises of the target bidding project of the bidding enterprise, and analyze the competitiveness of the bidding enterprise, including but not limited to the main competing enterprises and advantages and disadvantages of the bidding enterprise, so as to assist the bidding enterprise in bidding.

[0064] The present invention can cut specific features extracted from project bidding requirements and construction content through Java program, and then use matching algorithm and standard qualification library to establish accurate mapping, convert complex and diverse text description matching into simple accurate matching, simplify matching algorithm, and improve matching accuracy; further, considering the problem of incomplete text extraction features such as project content, use historical shortlisted and / or winning records and other data to train Ernie model, convert text into multidimensional matrix vector, and store it in Milvus library to achieve vector similarity matching. The matching process is: the qualification or project content text is used as input, the HTTP interface exposed by Ernie model is called to return the corresponding matrix vector, the matrix vector is used as the input of Milvus client, and the project or qualification with high similarity is solved by distance algorithm in Milvus.

[0065] The technical solution of this embodiment determines the candidate bidding project set that meets the bidding needs of the bidding enterprise from the target bidding project set according to the matching degree between each bidding project in the target bidding project set and the bidding tendency information of the bidding enterprise, and then automatically recommends the bidding enterprise to the bidding enterprise projects that meet its bidding needs and have a higher probability of winning the bid according to the historical bidding information of the bidding enterprise and the matching degree between each bidding project in the candidate bidding project set and the enterprise qualification information of the bidding enterprise, thereby improving the winning probability of the bidding enterprise, improving the recommendation efficiency of the project recommendation work, and saving the cost of the bidding recommendation work. The method of matching bidding information according to bidding information requires enterprises to set labels separately according to their own conditions, and the label categories are complicated and diverse, lacking objectivity and low flexibility. Any change in demand requires adjustment of the screening items or labels, and the cost of information screening is high. The timeliness and accuracy of the manual bidding information screening, evaluation and bidding method are low, which is not conducive to the bidder to screen the bidding information that is easy to win and meets the requirements, and the bidding work is prone to decision-making errors, and even affects the development of the enterprise.

[0066] Figure 5 Schematic diagram of a bidding project recommendation device provided by the present invention. Figure 5 As shown, the device includes: an information determination module 201, a project determination module 202 and a bid recommendation module 203.

[0067] The information determination module 201 is used to determine the bidding tendency information and historical bidding information of the bidding enterprise when receiving the bidding instruction of the bidding enterprise.

[0068] The project determination module 202 is used to determine the candidate bidding project set of the bidding enterprise based on the bidding tendency information and the target bidding project set, wherein the target bidding project set includes at least one bidding project, and the candidate bidding project set includes at least one candidate bidding project. The candidate bidding project is a bidding project in the target bidding project set whose matching degree with the bidding tendency information meets the preset bidding matching conditions.

[0069] The bidding recommendation module 203 is used to determine the target bidding project of the bidding enterprise based on the historical bidding information and the matching degree of at least one candidate bidding project with the bidding tendency information, wherein the target bidding project is used to instruct the bidding enterprise to conduct bidding work.

[0070] Optionally, the information determination module 201 is also used to determine an initial bidding project set based on bidding information on a preset bidding platform before determining the candidate bidding project set of the bidding enterprise based on the bidding tendency information and the target bidding project set, wherein the number of preset bidding platforms is at least one, and the initial bidding project set includes at least one bidding project; process the bidding requirements of each bidding project in the initial bidding project set to obtain dimensional information of each bidding project in the initial bidding project set, wherein the bidding requirements include at least one sub-bidding requirement and the priority of at least one sub-bidding requirement, the sub-bidding requirements include bidding conditions, project information, bidding scale, historical bidding information and enterprise qualification requirement information, the historical bidding information includes historical bidding data and the first historical winning bid data; determine the target bidding project set based on the dimensional information of each bidding project in the initial bidding project set.

[0071] Optionally, the historical bidding information includes historical bidding data of the bidding enterprise and second historical winning bid data. The information determination module 201 is specifically used to determine the enterprise qualification information, enterprise performance information, enterprise reputation information, enterprise personnel information, enterprise development plan, current bidding plan and historical bidding data of the bidding enterprise, wherein the historical bidding data is the bidding data of the bidding enterprise within a preset time; the enterprise qualification information, enterprise performance information, enterprise reputation information and enterprise personnel information are processed to obtain the bidding competition information of the bidding enterprise; the enterprise development plan and the current bidding plan are processed to obtain the bidding tendency information; and the data of successful bidding in the historical bidding data is determined as the second historical winning bid data.

[0072] Optionally, the project determination module 202 is specifically used to determine a first intermediate bidding project set based on the bidding type information and bidding tendency information of each bidding project in the target bidding project set, wherein the first intermediate bidding project set includes at least one first intermediate bidding project, and the first intermediate bidding project is a bidding project whose similarity between the bidding type information and the bidding tendency information in the target bidding project set is greater than a preset similarity threshold; calculate the matching degree between the bidding competition information and the at least one first intermediate bidding project to obtain at least one project matching result, wherein the project matching result corresponds to the first intermediate bidding project one-to-one; determine a second intermediate bidding project set based on at least one project matching result and a preset matching threshold, wherein the second intermediate bidding project set includes at least one second intermediate bidding project, and the second intermediate bidding project is the first intermediate bidding project corresponding to the project matching result whose matching degree is greater than the preset matching threshold; sort the at least one second intermediate bidding project in order of matching degree from large to small, and determine a candidate bidding project set based on the sorting result and the preset project screening value.

[0073] Optionally, the bid recommendation module 203 is specifically used to determine a first similarity between the enterprise to be bid and at least one candidate bid project based on the matching degree between at least one candidate bid project and the bidding tendency information; process historical bidding data, second historical winning bid data, bidding competition information and at least one candidate bid project to obtain a second similarity between the enterprise to be bid and at least one candidate bid project; use the first similarity and the second similarity to adjust the matching degree between the enterprise to be bid and at least one candidate bid project, and determine the target bid project based on the matching adjustment result.

[0074] Optionally, the bidding recommendation module 203 is also used to determine the bidding resistance information and alternative bidding projects of the enterprise to be bid, wherein the bidding resistance information includes the competing enterprises of the enterprise to be bid and the competitiveness of the competing enterprises, the competing enterprises are the enterprises that meet the preset competition conditions among the bidding enterprises of the target bidding project, and the alternative bidding projects are the bidding projects in the associated projects of the target bidding project whose matching degree with the bidding competition information of the enterprise to be bid meets the preset bidding conditions; and display the bidding resistance information and the alternative bidding projects.

[0075] The bidding project recommendation device provided in this embodiment can execute the bidding project recommendation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0076] Figure 6: is a schematic diagram of the structure of an electronic device provided by the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0077] like Figure 6 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (also called random access memory, RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0078] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0079] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a recommendation method for bidding projects.

[0080] In some embodiments, the method for recommending bidding items may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for recommending bidding items described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for recommending bidding items in any other appropriate manner (e.g., by means of firmware).

[0081] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0082] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0083] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0084] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0085] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server) or a computing system that includes middleware components (e.g., an application server) or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein) or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0086] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0087] In one embodiment, the present invention further includes a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the method for recommending bidding items according to any embodiment of the present invention is implemented.

[0088] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0089] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0090] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for recommending bidding projects, characterized in that: include: When receiving a bidding instruction from a bidding enterprise, determining the bidding tendency information and historical bidding information of the bidding enterprise; Based on the bidding tendency information and the target bidding project set, determining the candidate bidding project set of the bidding enterprise, wherein the target bidding project set includes at least one bidding project, and the candidate bidding project set includes at least one candidate bidding project, and the candidate bidding project is a bidding project in the target bidding project set whose matching degree with the bidding tendency information meets a preset bidding matching condition; Based on the historical bidding information and the matching degree between the at least one candidate bidding item and the bidding tendency information, the target bidding item of the bidding enterprise is determined, wherein the target bidding item is used to instruct the bidding enterprise to conduct bidding work.

2. The method according to claim 1, characterized in that Before determining the candidate bidding project set of the enterprise to be bid based on the bidding tendency information and the target bidding project set, the method further includes: Determine an initial bidding project set based on the bidding information on a preset bidding platform, wherein the number of the preset bidding platform is at least one, and the initial bidding project set includes at least one bidding project; Processing the bidding requirements of each bidding project in the initial bidding project set to obtain dimension information of each bidding project in the initial bidding project set, wherein the bidding requirement includes at least one sub-bidding requirement and a priority of the at least one sub-bidding requirement, the sub-bidding requirement includes bidding conditions, project information, bidding scale, historical bidding information and enterprise qualification requirement information, and the historical bidding information includes historical bidding data and first historical winning bid data; The target bidding project set is determined based on the dimension information of each bidding project in the initial bidding project set.

3. The method according to claim 2, characterized in that The historical bidding information includes the historical bidding data and the second historical winning bid data of the enterprise to be bid; The determining of the bidding tendency information and historical bidding information of the bidding enterprise includes: Determine the enterprise qualification information, enterprise performance information, enterprise reputation information, enterprise personnel information, enterprise development plan, current bidding plan and the historical bidding data of the enterprise to be bid, wherein the historical bidding data is the bidding data of the enterprise to be bid within a preset time; Processing the enterprise qualification information, the enterprise performance information, the enterprise reputation information and the enterprise personnel information to obtain the bidding competition information of the bidding enterprise; Processing the enterprise development plan and the current bidding plan to obtain the bidding tendency information; The data of successful bids in the historical bidding data are determined as the second historical winning bid data.

4. The method according to claim 3, characterized in that The step of determining the candidate bidding project set of the enterprise to be bid based on the bidding tendency information and the target bidding project set includes: Based on the bidding type information of each bidding project in the target bidding project set and the bidding tendency information, determining a first intermediate bidding project set, wherein the first intermediate bidding project set includes at least one first intermediate bidding project, and the first intermediate bidding project is a bidding project whose similarity between the bidding type information in the target bidding project set and the bidding tendency information is greater than a preset similarity threshold; Calculating the matching degree between the bidding competition information and the at least one first intermediate bidding item to obtain at least one item matching result, wherein the item matching result corresponds to the first intermediate bidding item one by one; Determine a second intermediate bidding item set based on the at least one item matching result and a preset matching threshold, wherein the second intermediate bidding item set includes at least one second intermediate bidding item, and the second intermediate bidding item is a first intermediate bidding item corresponding to the item matching result with a matching degree greater than the preset matching threshold; The at least one second intermediate bidding item is sorted in descending order of matching degree, and the candidate bidding item set is determined based on the sorting result and a preset item screening value.

5. The method according to claim 4, characterized in that The determining the target bidding project of the enterprise to be bid based on the historical bidding information and the matching degree between the at least one candidate bidding project and the bidding tendency information comprises: Determining a first similarity between the enterprise to be bid and the at least one candidate bidding project based on a matching degree between the at least one candidate bidding project and the bidding tendency information; Processing the historical bidding data, the second historical winning bid data, the bidding competition information and the at least one candidate bidding project to obtain a second similarity between the enterprise to be bid and the at least one candidate bidding project; The first similarity and the second similarity are used to adjust the matching degree between the enterprise to be bid and the at least one candidate bidding project, and the target bidding project is determined based on the matching degree adjustment result.

6. The method according to claim 1, characterized in that Also includes: Determine the bidding resistance information and alternative bidding projects of the enterprise to be bid, wherein the bidding resistance information includes the competing enterprises of the enterprise to be bid and the competitiveness of the competing enterprises, the competing enterprises are enterprises that meet preset competition conditions among the bidding enterprises of the target bidding project, and the alternative bidding projects are bidding projects in the associated projects of the target bidding project whose matching degree with the bidding competition information of the enterprise to be bid meets the preset bidding conditions; The bidding resistance information and the alternative bidding items are displayed.

7. A device for recommending bidding items, characterized in that: Used to implement the method for recommending bidding items as described in any one of claims 1 to 6, the bidding item recommendation device comprises: An information determination module, configured to determine the bidding tendency information and historical bidding information of the bidding enterprise upon receiving the bidding instruction of the bidding enterprise; A project determination module is used to determine the candidate bidding project set of the enterprise to be bid based on the bidding tendency information and the target bidding project set, wherein the target bidding project set includes at least one bidding project, and the candidate bidding project set includes at least one candidate bidding project, and the candidate bidding project is a bidding project in the target bidding project set whose matching degree with the bidding tendency information meets a preset bidding matching condition; The bidding recommendation module is used to determine the target bidding project of the bidding enterprise based on the historical bidding information and the matching degree between the at least one candidate bidding project and the bidding tendency information, wherein the target bidding project is used to instruct the bidding enterprise to conduct bidding work.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for recommending bidding items as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for recommending bidding projects as described in any one of claims 1 to 6 when executed.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the method for recommending bidding items according to any one of claims 1 to 6.

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