CN112419011A - Public resource transaction recommendation method and device and computer-readable storage medium - Google Patents
Public resource transaction recommendation method and device and computer-readable storage medium Download PDFInfo
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- CN112419011A CN112419011A CN202011463849.4A CN202011463849A CN112419011A CN 112419011 A CN112419011 A CN 112419011A CN 202011463849 A CN202011463849 A CN 202011463849A CN 112419011 A CN112419011 A CN 112419011A
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Abstract
The invention relates to a public resource transaction recommendation method, a public resource transaction recommendation device and a computer-readable storage medium, which specifically comprise the following steps: carrying out similarity matching on the new bidding announcement data information and each historical bidding announcement in a historical database, and identifying similar historical bidding announcements; searching all history bidding candidates associated with the similar history bidding announcement; acquiring data information of the history bid-winning candidates, performing similarity matching on the data information of the history bid-winning candidates and data information of an enterprise to be pushed, and determining a target enterprise; and pushing the acquired related data information of the new bidding announcement to the target enterprise. The invention can actively recommend the new notice to the related bidding enterprises when the new notice is released, thereby improving the convenience of the bidding enterprises for obtaining the notice of interest.
Description
Technical Field
The invention relates to the technical field of information, in particular to a public resource transaction recommendation method, a public resource transaction recommendation device and a computer-readable storage medium.
Background
The public resource transaction refers to business such as trading and providing consultation and service of public resources with public welfare, monopol social service operation rights of municipal utilities, administrative units, outdoor billboard operation rights, smuggling and punishing public auction for property rents such as real estate and office buildings, car operation license plates, car mascot number plates, waste material treatment of administrative units and the like controlled by public resource management departments.
Bidding is one way of trading public resources. And (4) tender, namely a tenderer (buyer) sends out tender notice or tender bill in advance, and the variety, quantity, technical requirement and related transaction conditions propose the action of inviting the bidder (seller) to participate in the bid at the specified time and place. Bidding is the act of submitting a bid to a bidder within a predetermined time limit according to a condition defined by a bidding announcement or a bid slip, in response to an invitation from the bidder.
The bid-inviting bulletin refers to a document from which a bid-inviting unit or a bid-inviting person publishes standards and conditions, proposes project contents such as price and requirements and the like when the bid-inviting unit or the bid-inviting person carries out scientific research, technical attack and customs, engineering construction, cooperative management or bulk commodity transaction, and is expected to select a contracting unit or a contracting person.
At present, in the field of public resource transaction, no functional module for actively recommending bidding announcement exists. In the existing mode, through a subscription function, a reminder of a corresponding type of newly issued bulletin is checked in a subscription area, for example, after a certain type of (building construction engineering, municipal engineering, etc.) of bid bulletin is subscribed, when a corresponding organization issues a new bid bulletin, an update reminder can be received.
At present, in the field of public resource transaction, a user needs to actively subscribe and select related type information to obtain required bidding bulletin or other information, behavior data precipitated by the user is not well utilized, and bulletin publishing and subscribing means are single and are not intelligent enough.
Disclosure of Invention
The invention aims to provide a public resource transaction recommendation method, a public resource transaction recommendation device and a computer readable storage medium, which are used for solving the problems that in the field of public resource transaction, a user needs to actively subscribe and select related type information to obtain required bid notices or other information, behavior data precipitated by the user is not well utilized, and the notices are single in issuing and subscribing means and not intelligent enough.
In order to achieve the purpose, the invention provides the following technical scheme:
a first aspect of an embodiment of the present invention provides a public resource transaction recommendation method, including:
acquiring new bidding announcement data information;
carrying out similarity matching on the new bidding announcement data information and each historical bidding announcement in a historical database, and identifying similar historical bidding announcements;
searching all history bidding candidates associated with the similar history bidding announcement;
acquiring data information of the history bid-winning candidates, performing similarity matching on the data information of the history bid-winning candidates and the data information of the enterprise to be pushed, and identifying the similar enterprise to be pushed as a target enterprise;
and pushing the acquired related data information of the new bidding announcement to the target enterprise.
A second aspect of an embodiment of the present invention provides a public resource transaction recommendation device, including:
the acquisition module is used for acquiring new bidding announcement data information;
the first matching module is used for carrying out similarity matching on the new bidding announcement data information and each historical bidding announcement in a historical database and identifying similar historical bidding announcements;
the searching module is used for searching all history bid-winning candidates related to the similar history bid-winning announcement;
the second matching module is used for acquiring data information of the bid-winning candidates in the histories, performing similarity matching on the data information of the bid-winning candidates in the histories and the data information of the enterprises to be pushed, and identifying the similar enterprises to be pushed as target enterprises;
and the sending module is used for sending the acquired new bidding announcement to the target enterprise.
A third aspect of an embodiment of the present invention provides a public resource transaction recommendation device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method according to the first aspect of the embodiment of the present invention.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method according to the first aspect of the embodiments of the present invention.
The method comprises the steps of extracting relevant attribute information as a label by using bidding notices deposited in a public resource transaction system, basic information of bidding enterprises and bidding data of the bidding enterprises, and constructing an accurate recommendation model of the public resource transaction bidding notices.
The foregoing is a summary of the present invention, and in order to provide a clear understanding of the technical means of the present invention and to be implemented in accordance with the present specification, the following is a detailed description of the preferred embodiments of the present invention with reference to the accompanying drawings.
Drawings
FIG. 1 is a flow chart of a method of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a specific recommendation process of an embodiment of the present invention;
fig. 3 is a block diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings so that they can be easily implemented by those skilled in the art. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.
In the present invention, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of the disclosed features, numbers, steps, actions, components, parts, or combinations thereof, and are not intended to preclude the possibility that one or more other features, numbers, steps, actions, components, parts, or combinations thereof may be present or added.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The following detailed description of embodiments of the invention is provided in connection with the accompanying drawings and the specific examples.
Fig. 1 is a flowchart of a public resource transaction recommendation method according to an exemplary embodiment of the present invention. The method can be applied to a public resource transaction system. As shown in fig. 1 and 2, the method may include the following steps S1 to S5:
s1, new bidding announcement data information is obtained.
The bid-inviting bulletin is used for publishing standards and conditions and proposing project contents such as price and requirements when a bid-inviting unit or a bid-inviting person carries out scientific research, technical attack and customs, engineering construction, cooperative management or bulk commodity transaction so as to select a contracting unit or a contracting person from the project contents.
When receiving the new bidding announcement information, the server side acquires specific data information of the new bidding announcement, for example: the industry, the amount range, the qualification requirement, the project property and the like are belonged to, and the specific data information of the new bidding announcement is analyzed so as to match similar historical bidding announcements in the next step.
And S2, carrying out similarity matching on the new bidding announcement data information and the historical bidding announcements in the historical database, and identifying similar historical bidding announcements.
The method comprises the steps of storing deposited historical bidding notices in a historical database of a public resource transaction system, traversing the historical bidding notices in the historical database after new bidding notice data information is obtained, matching the new bidding notice data information with the historical bidding notice data information, calculating similarity of the bidding notices according to attribute information in the bidding notices, such as industry, amount range, qualification requirements, project properties and the like, and finding the historical bidding notices similar to the new bidding notices from the historical database.
Whether the two bidding notices are similar ones is judged according to the attribute similarity of the two bidding notices.
The attribute similarity in this embodiment refers to which identical attributes exist between the new bidding announcement and the historical bidding announcement, and whether the attribute values of the identical attributes are identical, and if not, how much the difference is.
Further optionally, in this embodiment, the step of performing similarity matching between the new bidding announcement data information and each historical bidding announcement in the historical database includes:
s21, extracting related attribute information as an announcement data tag according to the data information of the bidding announcement in the public resource transaction system;
s22, constructing a bidding announcement similarity model by using a word vector space according to the announcement data labels;
and S23, identifying the historical bidding announcement similar to the attribute information of the new bidding announcement through a clustering algorithm according to the similarity model of the bidding announcement.
The attribute similarity between the new bidding announcement and the historical bidding announcement of the embodiment is obtained by the following method:
converting the announcement data labels into word vectors by using word2vector, and then carrying out clustering analysis by using a kmeans algorithm to obtain a plurality of similar announcement classes, wherein the historical invitation announcements belonging to the same class as the new invitation announcements are used as the similar historical invitation announcements.
S3, searching all history bidding candidates associated with the similar history bidding announcement;
specifically, each bidding announcement corresponds to a bidding enterprise, and for similar historical bidding announcements identified at S2 corresponding to the new bidding announcement, historical bidding candidates associated with the similar historical bidding announcements are searched in a historical database of the public resource transaction system, so as to obtain interested target enterprises.
S4, acquiring data information of the bid-winning candidates in the histories, performing similarity matching on the data information of the bid-winning candidates in the histories and the data information of the enterprises to be pushed, and identifying the similar enterprises to be pushed as target enterprises;
after finding out the history successful-winning candidate associated with the similar history bidding announcement, acquiring related attribute information according to the basic information of the history successful-winning candidate and the bidding data thereof, for example: capital, personnel scale, establishment time, qualification conditions and the like are registered, and the similarity of the bidding enterprises is identified according to the related attribute information, so that the target enterprises are identified.
The similarity of two bidding enterprises also refers to attribute similarity.
Further optionally, in this embodiment, the step of performing similarity matching between the data information of the winning candidates in each history and the data information of the enterprise to be pushed includes:
s41, extracting related attribute information as enterprise label according to basic information of the bidding enterprise in the public resource transaction system and the bidding data;
s42, constructing a bidding enterprise similarity model by using the word vector space according to the enterprise tags;
and S43, identifying the enterprises to be pushed similar to the attribute information of the candidates winning the bid in the history through a clustering algorithm according to the similarity model of the bidding enterprises, and listing the enterprises as target enterprises.
And forming a target enterprise list by all the determined target enterprises so as to search or announce the recommendation.
In this embodiment, the attribute similarity between the enterprise to be pushed and the candidate winning the bid in the history is obtained by the following method:
after the word vectors are converted from enterprise labels by using word2vector, clustering analysis is carried out through a kmeans algorithm to obtain a plurality of similar enterprise classes, the similar enterprise classes and the candidates in the history belong to the same class, the similar enterprise classes are used as similar enterprises to be pushed, and the target enterprise obtains a union of all similar enterprises to be pushed.
And S5, pushing the acquired related data information of the new bidding announcement to the target enterprise.
After the target enterprise is determined, when a new bidding announcement is issued according to the formed target enterprise list, the new bidding announcement is actively recommended to the related target enterprise, so that accurate recommendation of the newly issued bidding announcement is completed, and convenience of obtaining interested announcements by bidding enterprises is improved.
Fig. 3 is a block diagram of a public resource transaction apparatus according to an embodiment of the present invention. The device is used for executing the steps when the public resource trading recommendation method is executed. Referring to fig. 3, the public resource transaction apparatus of the present embodiment includes:
the acquisition module is used for acquiring new bidding announcement data information;
the first matching module is used for carrying out similarity matching on the new bidding announcement data information and each historical bidding announcement in a historical database and identifying similar historical bidding announcements;
the searching module is used for searching all history bid-winning candidates related to the similar history bid-winning announcement;
the second matching module is used for acquiring data information of the bid-winning candidates in the histories, performing similarity matching on the data information of the bid-winning candidates in the histories and the data information of the enterprises to be pushed, and identifying the similar enterprises to be pushed as target enterprises;
and the sending module is used for sending the acquired new bidding announcement to the target enterprise.
The public resource transaction recommendation device and the public resource transaction recommendation method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
It should be noted that: when recommending a newly issued bidding announcement, the public resource transaction recommendation device provided in the above embodiment is only illustrated by the division of the above functional modules, and in practical applications, the above function allocation may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the above described functions.
In this embodiment of the present invention, the public resource transaction recommendation apparatus may be a computer device, where the computer device may be configured as a terminal or a server, and when the computer device is configured as a terminal, the terminal may serve as an execution subject to implement the technical solution provided in the embodiment of the present application, and when the computer device is configured as a server, the server may serve as an execution subject to implement the technical solution provided in the embodiment of the present application, and the technical solution provided in the present application may also be implemented through interaction between the terminal and the server, which is not limited in this embodiment of the present invention.
Another embodiment of the present invention provides a public resource transaction recommendation apparatus, including: a processor, a memory, and a computer program stored in the memory and operable on the processor, when executing the computer program, implementing the steps in the above-described public resource transaction recommendation method embodiments, such as the steps of the public resource transaction recommendation method shown in fig. 1. Or, the processor, when executing the computer program, implements the functions of the modules in the above-mentioned public resource transaction recommendation apparatus embodiment.
Illustratively, the computer program may be partitioned into one or more modules that are stored in the memory and executed by the processor to implement the invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program in the public resource transaction recommendation device. For example, the computer program may be divided into an obtaining module, a first matching module, a searching module, a second matching module and a sending module, and the specific functions of the modules are as follows:
the acquisition module is used for acquiring new bidding announcement data information;
the first matching module is used for carrying out similarity matching on the new bidding announcement data information and each historical bidding announcement in a historical database and identifying similar historical bidding announcements;
the searching module is used for searching all history bid-winning candidates related to the similar history bid-winning announcement;
the second matching module is used for acquiring data information of the bid-winning candidates in the histories, performing similarity matching on the data information of the bid-winning candidates in the histories and the data information of the enterprises to be pushed, and identifying the similar enterprises to be pushed as target enterprises;
and the sending module is used for sending the acquired new bidding announcement to the target enterprise.
The public resource transaction recommendation device may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server, and may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that the apparatus described in this embodiment is only an example of a public resource transaction recommendation apparatus, and does not constitute a limitation to the public resource transaction recommendation apparatus, and in other embodiments, more or fewer components may be included, or some components may be combined, or different components may be included, for example, the public resource transaction recommendation apparatus may further include an input/output device, a network access device, a bus, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor is the control center of the public resource transaction recommendation device and various interfaces and lines are used to connect the various parts of the whole public resource transaction recommendation device.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the public resource deal recommendation device by running or executing the computer programs and/or modules stored in the memory and invoking the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a memory device, or other volatile solid state storage device.
The embodiment of the invention also provides a computer readable storage medium, and the computer program is executed by a processor to realize the steps of the public resource transaction recommendation method embodiment.
Specifically, the modules integrated by the public resource transaction recommendation device according to the embodiment of the present invention, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer-readable storage medium. Based on such understanding, all or part of the processes in the above method embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above method embodiments.
Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable storage medium may contain content that is subject to appropriate increase or decrease according to the requirements of legislation and patent practice in jurisdictions, for example, in some jurisdictions in which the computer readable storage medium does not contain electrical carrier signals or electrical signals according to legislation and patent practice.
Claims (10)
1. A public resource transaction recommendation method, comprising:
acquiring new bidding announcement data information;
carrying out similarity matching on the new bidding announcement data information and each historical bidding announcement in a historical database, and identifying similar historical bidding announcements;
searching all history bidding candidates associated with the similar history bidding announcement;
acquiring data information of the history bid-winning candidates, performing similarity matching on the data information of the history bid-winning candidates and the data information of the enterprise to be pushed, and identifying the similar enterprise to be pushed as a target enterprise;
and pushing the acquired related data information of the new bidding announcement to the target enterprise.
2. The public resource transaction recommendation method of claim 1, wherein the step of similarity matching the new bidding announcement data information with the historical bidding announcements in the historical database comprises:
extracting related attribute information as an announcement data tag according to data information of the bidding announcement in the public resource transaction system;
constructing a bidding announcement similarity model by using a word vector space according to the announcement data tags;
and identifying the historical bidding announcement similar to the attribute information of the new bidding announcement through a clustering algorithm according to the similarity model of the bidding announcement.
3. The public resource transaction recommendation method according to claim 2, wherein the step of performing similarity matching between the data information of the winning candidate in each history and the data information of the enterprise to be pushed comprises:
extracting related attribute information as an enterprise tag according to basic information of a bidding enterprise in a public resource transaction system and bidding data thereof;
constructing a bidding enterprise similarity model by using a word vector space according to the enterprise tags;
and identifying the enterprises to be pushed similar to the attribute information of the candidates winning the bid in the history through a clustering algorithm according to the bidding enterprise similarity model, and listing the enterprises as target enterprises.
4. The public resource transaction recommendation method according to claim 3, wherein the announcement data tag includes attribute information including: the industry, the amount range, the qualification requirements and the project properties of the system; the enterprise tag comprises the following attribute information: capital, staff size, time to establish, and qualification conditions are registered.
5. A public resource deal recommendation device, comprising:
the acquisition module is used for acquiring new bidding announcement data information;
the first matching module is used for carrying out similarity matching on the new bidding announcement data information and each historical bidding announcement in a historical database and identifying similar historical bidding announcements;
the searching module is used for searching all history bid-winning candidates related to the similar history bid-winning announcement;
the second matching module is used for acquiring data information of the bid-winning candidates in the histories, performing similarity matching on the data information of the bid-winning candidates in the histories and the data information of the enterprises to be pushed, and identifying the similar enterprises to be pushed as target enterprises;
and the sending module is used for sending the acquired new bidding announcement to the target enterprise.
6. The public resource transaction recommendation device of claim 5, wherein the first matching module comprises a first model building unit configured to:
extracting related attribute information as an announcement data tag according to data information of the bidding announcement in the public resource transaction system;
constructing a bidding announcement similarity model by using a word vector space according to the announcement data tags;
and identifying the historical bidding announcement similar to the attribute information of the new bidding announcement through a clustering algorithm according to the similarity model of the bidding announcement.
7. The public resource transaction recommendation device of claim 6, wherein the second matching module comprises a second model building unit configured to:
extracting related attribute information as an announcement data tag according to data information of the bidding announcement in the public resource transaction system;
constructing a bidding announcement similarity model by using a word vector space according to the announcement data tags;
and identifying the enterprises to be pushed similar to the attribute information of the candidates winning the bid in the history through a clustering algorithm according to the bidding enterprise similarity model, and listing the enterprises as target enterprises.
8. The public resource transaction recommendation device of claim 7, wherein the announcement data tag includes an industry to which it belongs, a monetary range, qualification requirements, and an item property; the enterprise tag includes registered capital, personnel size, time to establish, and qualification conditions.
9. A public resource trade recommendation device comprising a processor, a memory and a computer program stored in said memory and executable on said processor, wherein said processor, when executing said computer program, performs the steps of the method of any one of claims 1 to 4.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
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| CN114461867A (en) * | 2022-04-12 | 2022-05-10 | 深圳格隆汇信息科技有限公司 | Financial big data analysis processing method and system |
| CN117495515B (en) * | 2023-12-29 | 2024-04-05 | 优材优建(青岛)供应链科技有限公司 | Bid intelligent matching method, system, computer equipment and storage medium |
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