CN115147196A - Bidding information recommendation method and device, storage medium and electronic equipment - Google Patents
Bidding information recommendation method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The application relates to a bid inviting information recommendation method, a bid inviting information recommendation device, a storage medium and electronic equipment, wherein the method comprises the following steps: grabbing parameters according to preset bidding information to acquire bidding information; adding the bidding information into a bidding information base in a classified manner according to the release date, the affiliated area and the involved industries; collecting bid-winning information, and comparing the keywords of the bid-winning information with the keywords of the bid-inviting information in the bid information library to obtain a comparison result; if the comparison result is that the bid-winning information exists in the label information base, removing the bid-winning information in the label information base from the label information base; detecting user access, and acquiring the bidding requirements of the user, wherein the bidding requirements comprise at least one of related industries, dates and affiliated areas; and recommending the bidding information matched with the bidding requirement in the bidding information base to the user according to the bidding requirement. The method and the device have the effects of enabling the recommended bid inviting information to be in line with the bidding requirements of the user and improving the accuracy of the bid inviting information recommendation.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a bid inviting information recommendation method and device, a storage medium and electronic equipment.
Background
The bidding information is a summary of the amount of bidding information, and includes information such as a bidding announcement, a bidding preview, and a bidding change of the national bidding information. The bid inviting means that a bid inviting person (buyer) issues a bid inviting notice or a bid invitation, which indicates the bidding activities of a project, goods and services, a bid section (bid package) division, a quantity, qualification requirements of bidders (sellers), and the like, and invites a specific or unspecified bidder (seller) to bid according to a certain program at a specified time and place.
In the related technology, a bidder acquires bidding information through a bidding system, the bidding system is used for widely displaying and recommending the bidding information, then the bidder screens out the bidding information required by the bidder from massive bidding information, and finally, a bidding document is made according to the bidding information to participate in bidding.
With respect to the related art among the above, the inventors consider that the following drawbacks exist: because different bidders have different requirements, the extensive display recommendation of the bidding information cannot well meet the requirements of each bidder, and the recommended bidding information is not in close contact with the actual requirements of the bidders, so that the bidding information is not accurate enough in recommendation.
Disclosure of Invention
In order to improve the accuracy of bid inviting information recommendation, the application provides a bid inviting information recommendation method, device, storage medium and electronic equipment.
In a first aspect of the present application, a bid inviting information recommendation method is provided, which specifically includes:
acquiring bidding information, and adding the bidding information to a bidding information library;
detecting user access, and acquiring the bidding requirements of the user, wherein the bidding requirements comprise at least one of related industries, dates and regions;
and recommending the bid inviting information matched with the bid demand in the bid information base to the user according to the bid demand.
By adopting the technical scheme, when the bidding system server detection system is accessed by a user, the relevant information capable of reflecting the bidding requirements of the user can be obtained, and finally, the relevant information contained in the bidding requirements is matched from the bidding information base, and the bidding information similar to the bidding requirements of the user is matched and recommended to the user, so that the recommended bidding information conforms to the bidding requirements of the user, and the accuracy of the recommendation of the bidding information is improved.
Optionally, the obtaining of the bid inviting information and adding the bid inviting information to a bid inviting library include:
grabbing parameters according to preset bidding information to acquire bidding information;
and classifying and adding the bidding information to the bidding information base according to the release date, the affiliated area and the involved industries.
Through adopting above-mentioned technical scheme, the bid inviting information that sets up the crawler snatchs the parameter, can snatch and snatch the bid inviting information that the parameter matches to it is comparatively convenient to make the system's collection acquire the bid inviting information. And classifying the obtained bid inviting information according to the release date, the area to which the bid inviting item belongs and the industry related to the bid inviting item, so that the corresponding bid inviting information can be conveniently recommended according to the requirements of the user in the follow-up process.
Optionally, the obtaining the bid inviting information and adding the bid inviting information to a bid inviting library further include:
acquiring bid-winning information, and comparing the keywords of the bid-winning information with the keywords of the bid-inviting information in the bid information library to obtain a comparison result;
and if the comparison result indicates that the bid-winning information exists in the label database, removing the bid-winning information in the label database from the label database.
By adopting the technical scheme, after bid inviting information is acquired, bid winning information is acquired, and comparison is performed with the same keywords of the bid inviting information in the bid information library according to the keywords, such as item names, in the bid inviting information. If the comparison is consistent, the bidding information of the bidding items which have been bid is present in the bidding information base, and the bidding information needs to be removed from the bidding information base, so that the bidding information recommended to the user from the bidding information base is in a bidding state.
Optionally, the detecting the user access and acquiring the bid requirement of the user includes:
if the user access is detected, whether the user logs in is detected;
if the user login is detected, acquiring login information of the user, and acquiring corresponding user category information according to the login information, wherein the user category information comprises a bidder or a tenderer;
and if the user category information is the bidder, acquiring the registration information of the user, and using the registration information as the bidding requirement.
By adopting the technical scheme, when the system server detects that a user accesses the system, whether the user has a login action is detected, if the user has the login action, login information of the user is acquired, corresponding user category information is acquired from a background through the login information, and if the user is a bidder, registration information of the user is acquired to serve as a bidding requirement of the user.
Optionally, the method further includes:
if the user category information is a bid inviting party, acquiring a company name of the bid inviting party, inquiring whether relevant bid inviting information exists according to the company name, and if so, recommending the progress condition of the corresponding bid inviting item to the user;
and if the related bidding information does not exist, recommending a preset bidding project publishing page to the user.
By adopting the technical scheme, when the obtained corresponding user category information is the bidding party, and the obtained corresponding user category information indicates that the visiting user is the bidding party, the company name corresponding to the bidding party is obtained, the company name is inquired in the bidding information base, and if the related bidding information exists, the related bidding information of the company is pushed to the user, so that the user can know the progress condition of the own bidding project; if the related bidding information does not exist, the fact that the user has not issued the bidding project before is shown, the issuing page of the bidding project is pushed to the user to be filled in on line, and the bidding requirement of the user is solved.
Optionally, when the access of the user is detected, acquiring a bid requirement of the user includes:
if the fact that the user does not log in is detected, counting the duration of user access, and judging whether the duration is less than preset time or not;
if the duration is less than the preset time, acquiring a date accessed by the user as the bidding requirement;
if the duration time is not less than the preset time, generating an information acquisition popup, wherein the information acquisition popup is used for acquiring information filled by a user and comprises related industries and affiliated areas of enterprises which are bid by the user;
and analyzing the information acquisition popup to obtain the bidding requirements of the user.
By adopting the technical scheme, when the fact that the user does not have the login action is detected, the duration of the user access is counted, the preset time is compared with the duration, and if the duration is shorter than the preset time, the date of the user access is obtained to serve as the bidding requirement; and if the duration of the user access is not less than the preset time, which indicates that the duration of the user access is long and the user may have a desire to bid, generating an information acquisition popup window. After the user fills in the popup window, the bidding requirements of the user can be acquired and acquired in a targeted mode.
Optionally, the recommending, according to the bid demand, bid inviting information matched with the bid demand in the bid information library to a user includes:
carrying out condition query on bid inviting information in the bid information base according to the bid demand, wherein the condition query refers to query according to at least one of date, affiliated area and involved industry;
carrying out similarity evaluation on the inquired bid inviting information according to a preset similarity evaluation rule;
sorting the inquired bid inviting information according to the similarity to obtain sorted bid inviting information;
and recommending the sorted bidding information to a user as bidding information matched with the bidding requirement.
By adopting the technical scheme, the date, the area and the industry involved in the bidding requirement are used as query conditions to query the bidding information in the bidding information base, the bidding information meeting the conditions is found, then the similarity evaluation is carried out on the bidding information, and the higher the similarity is, the more agreeable the queried bidding information and the bidding requirement of the user is shown. And ranking the bidding information according to the similarity from large to small and recommending the bidding information to the user, so that the user can obtain accurate bidding information with a bidding reference value.
In a second aspect of the present application, there is provided a bid information recommendation apparatus, specifically including:
the system comprises an information acquisition module, a bid inviting information sending module and a bid inviting information sending module, wherein the information acquisition module is used for acquiring bid inviting information and adding the bid inviting information to a bid information library;
the system comprises a demand acquisition module, a bid acquisition module and a bid display module, wherein the demand acquisition module is used for detecting user access and acquiring the bid demand of a user, and the bid demand comprises related industries, dates and regions;
and the information recommendation module is used for recommending the bid inviting information matched with the bid requirement in the bid information base to the user according to the bid requirement.
By adopting the technical scheme, the information acquisition module acquires bid inviting information and then adds the bid inviting information to the bid inviting library, the demand acquisition module starts to acquire the bid demand of the user when detecting that the system is accessed by the user, and finally the information recommendation module searches bid inviting information matched with the bid demand from the bid inviting library according to the bid demand acquired by the demand acquisition module and recommends the bid information to the accessing user, so that the accuracy of bid inviting information recommendation is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. when a bidding system server detection system is accessed by a user, the relevant information capable of reflecting the bidding requirements of the user can be obtained, and finally, the relevant information contained in the bidding requirements is matched from the bidding information base, and the bidding information similar to the bidding requirements of the user is matched and recommended to the user, so that the recommended bidding information conforms to the bidding requirements of the user, and the accuracy of bidding information recommendation is improved.
2. After the bid inviting information is acquired, the bid inviting information is collected, and the keyword in the bid inviting information, such as the item name, is compared with the same keyword in the bid inviting information in the bidding information library. If the comparison is consistent, the bidding information of the bidding items which have been bid is present in the bidding information base, and the bidding information needs to be removed from the bidding information base, so that the bidding information recommended to the user from the bidding information base is in a bidding state.
Drawings
Fig. 1 is a schematic flowchart of a bidding information recommendation method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another bidding information recommendation method provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of an interface for recommending bidding item related conditions according to an embodiment of the present application;
FIG. 4 is a schematic view of an interface of an information collection popup provided in an embodiment of the present application;
FIG. 5 is a schematic diagram of an interface for bidding information recommendation provided by an embodiment of the present application;
fig. 6 is a schematic structural diagram of a bidding information recommendation device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of another bidding information recommendation device according to an embodiment of the present application.
Description of the reference numerals: 11. an information acquisition module; 12. a demand acquisition module; 13. and an information recommendation module.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
In the description of the embodiments of the present application, the words "exemplary," "for example," or "for instance" are used to indicate instances, or illustrations. Any embodiment or design described herein as "exemplary," "e.g.," or "e.g.," is not to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the words "illustrative," "such as," or "for example" are intended to present relevant concepts in a concrete fashion.
In the description of the embodiments of the present application, the term "and/or" is only one kind of association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, B exists alone, and A and B exist at the same time. In addition, the term "plurality" means two or more unless otherwise specified. For example, the plurality of systems refers to two or more systems, and the plurality of screen terminals refers to two or more screen terminals. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit indication of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
Referring to fig. 1, the embodiment of the present application discloses a flow chart of a bidding information recommendation method, which is applied to a bidding information recommendation device, can also be implemented depending on a computer program, and can also run on a bidding information recommendation device based on a von neumann system server. The computer program can be integrated in an application, and can also be operated as an independent tool application, and specifically comprises the following steps:
s101: acquiring bidding information, and adding the bidding information to a bidding information library;
specifically, in the embodiment of the present application, the bidding information library is an area dedicated to storing bidding information in the server corresponding to the apparatus. The bidding information refers to article information of the latest bidding bulletin captured from other bidding systems of the same type or article information of the bidding bulletin publicly released by government authorities. The types of the bidding notices mainly include a goods bidding notice, a construction bidding notice and a service bidding notice. For example, the goods bidding announcement may be a building material purchasing bidding announcement, the construction bidding announcement may be a civil engineering bidding announcement, and the service bidding announcement may be a logistics transportation bidding announcement. After the bid inviting information is obtained, the bid inviting information is added to the bid inviting library in batches for storage, and subsequent searching and calling are facilitated.
S102: detecting user access, and acquiring the bidding requirements of the user, wherein the bidding requirements comprise related industries, dates and regions;
specifically, when a user accesses the bidding system using an intelligent device such as a mobile phone or a computer, the server of the bidding system is accessed in the form of an IP address. Because they have fixed IP addresses, whether they are mobile phones or computers. When the server detects that the IP address of the intelligent device accesses the system, the fact that the bidding system has user access browsing is indicated, the server can obtain different information for different access actions of the user in a targeted mode, and the information can reflect the bidding requirements of the user to a certain extent. In the embodiment of the application, the information reflecting the bidding requirements of the user adopts the involved industries of the user enterprise, the dates accessed or wanted to be viewed by the user and the affiliated area of the user enterprise. For example, if the industry involved in the user enterprise is the building industry and the area to which the user enterprise belongs is wuhan, the bidding requirement of the user can be reflected to a certain extent as bidding information related to the building industry in wuhan local.
S103: and recommending the bidding information matched with the bidding requirement in the bidding information base to the user according to the bidding requirement.
Specifically, after the bid demand of the user is obtained, bid inviting information matched with the bid demand information is searched from the bid information base according to the information of the industry, the date and the region to which the bid demand belongs, and finally the bid inviting information is recommended to the user who visits, so that the user can obtain the bid inviting information matched with the demand, and the accuracy of bid inviting information recommendation is improved. For example, the acquired bidding demand includes that the related industry of the user enterprise is the building industry and the region to which the user enterprise belongs is wuhan. According to the two items of information, the server can search the bidding information of building material purchase in Wuhan local matched with the two items of information, construction bidding information of certain building engineering in Wuhan local and the like from the bidding database.
Referring to fig. 2, an embodiment of the present application discloses a flowchart of another bidding information recommendation method, which specifically includes:
s201: grabbing parameters according to preset bidding information to acquire bidding information;
s202: adding the bidding information into a bidding information base in a classified manner according to the release date, the affiliated area and the involved industries;
specifically, in the embodiment of the application, a focused crawler is adopted to capture bid inviting information. A focused crawler is a program for automatically extracting web pages, and selectively accesses web pages and related links on the world Wide Web according to a given extraction target to extract required information. The focused crawler does not pursue large coverage, but rather targets the crawl of web pages related to a particular subject content. The grasping target is determined by setting corresponding grasping parameters. In this embodiment, the preset bid inviting information grabbing parameters are grabbing periods and keywords of grabbing bid inviting information webpages. For example, the crawling period is 24 hours, the crawled keywords are "bidding bulletins", that is, 0 o' clock each day begins to crawl and collect bidding information web page articles which newly contain the keywords from each bidding system. And then the 0 o' clock of the next day restarts grabbing bid information web page articles from various bid and bid systems. After the bidding information is acquired, each piece of bidding information comprises the release date of the bidding information, the name of the bidding item, the name of the bidding company, the area to which the bidding item belongs and the like, so that the bidding information, the related industries and the areas are classified according to the release date, and the classified bidding information is added to the bidding information base.
S203: collecting bid-winning information, and comparing the keywords of the bid-winning information with the keywords of the bid-inviting information in the bid information library to obtain a comparison result;
specifically, in the embodiment of the present application, the collection is performed from the bidding systems of the same type, and the specific collection manner is already described in step S201, and is not described herein again. In this embodiment, the keyword is a name of the bidding item, and in other embodiments, the keyword may also be a number of the bidding item. After the bid-winning information is collected, extracting keywords in the bid-winning information, comparing the keywords with the same keywords in the bid-winning information in the bid information library one by one, and obtaining a comparison result that the bid-winning information exists in the bid information library or the bid-winning information does not exist in the bid information library. For example, if the bidding item name extracted from a winning bid item is "the XX company purchasing bidding announcement in XX district XX in XX city", the bidding item name is used as a keyword to compare with the bidding item names included in the bidding information in the bidding database one by one, and finally, a comparison result is obtained.
S204: if the comparison result is that the bid-winning information exists in the bid information library, removing the bid-winning information in the bid information library from the bid information library.
Specifically, if the comparison result indicates that bid winning information exists in the bid information library, it indicates that bid winning items exist in the bid information library, and the bid winning information in the bid information library needs to be updated, and bid winning information corresponding to the keywords that are consistently compared is removed from the bid information library, so that the bid winning information recommended to the user when the user accesses the bid information is in an ongoing state.
S205: if the user access is detected, whether the user logs in is detected;
s206: if the user login is detected, acquiring login information of the user, and acquiring corresponding user category information according to the login information, wherein the user category information comprises a bidder or a tenderer;
s207: and if the user category information is the bidder, acquiring the registration information of the user, and using the registration information as a bidding requirement.
Specifically, when the user access is detected, if the server receives a login request, it indicates that the user logs in, the login request carries login information of the user, the login information includes login account information and password information, and then the server acquires the login information of the user. And judging whether the login information of the current user is correct or not according to the login account information and the password information of different users stored in the server, and if so, allowing the user to login. After the user successfully logs in, the server acquires corresponding user category information, if the user category information is a bidding party, the identity of the accessed user is indicated to be a bidding enterprise, then the previous registration information is acquired according to the login information of the user, the registration information comprises the affiliated area and the involved industry of the enterprise, and the registration information is used as the bidding requirement of the user.
S208: if the user category information is the tenderer, acquiring the company name of the tenderer, inquiring whether relevant tendering information exists according to the company name, and if so, recommending the relevant condition of the corresponding tendering item to the user;
specifically, if the obtained user category information is the tenderer, it indicates that the accessed user is an tenderer enterprise, and registration information of the user is obtained according to the login information of the user, where the registration information includes a company name of the tenderer. And taking the company name as a keyword for query, and searching whether relevant bidding information containing the keyword exists from the bidding information base. If the related bidding items exist, it is described that the bidding information is issued before the logged-in bidding party, and then the related conditions of the bidding items corresponding to the bidding information are recommended to the user, and it needs to be described that the related conditions include the winning bid condition of the bidding items issued by the user, the frequency of the bidding information without winning the bid, and the like. For example, as shown in fig. 3, the company name of the tenderer is XX company, 5 pieces of related tendering information found to XX company are provided, the 5 pieces of related tendering information are in a tendering state, and 7 pieces of tendering items issued by XX company indicate that XX company has 2 tendering items that have already completed the winning bid, so that XX company can clearly know the progress of the tendering items. In addition, the viewing frequency counted by the server is also displayed on the 5 pieces of related bidding information, the viewing frequency refers to the number of times that different users IP browse the page of the related bidding information, and the same IP multi-browsing is counted only once. By checking the frequency, the bidding party can intuitively know the popularity of the bidding items.
S209: and if the related bidding information does not exist, recommending a preset bidding project publishing page to the user.
Specifically, if the relevant bidding information of the tenderer is not found, it is indicated that the bidding item issued by the tenderer before the tenderer wins the bid, or the tenderer logs in and may have a new bidding requirement if the bidding item has not been issued before the tenderer, and then the preset bidding item issuing page is recommended to the user for the user to perform online filling. It should be noted that the bid inviting item publishing page is a page for collecting bid inviting requirements of the bid inviting party, and the bid inviting party fills in the name of the bid inviting unit and the name of the bid inviting item, and uploads a bid inviting document for introducing details of the bid inviting item.
S210: if the fact that the user does not log in is detected, counting the duration of user access, and judging whether the duration is less than preset time or not;
s211: if the duration is less than the preset time, acquiring the date accessed by the user as a bidding demand;
s212: if the duration time is not less than the preset time, generating an information acquisition popup, wherein the information acquisition popup is used for acquiring information filled by a user and comprises the related industries and the affiliated areas of enterprises which are bid by the user;
s213: and analyzing the information acquisition popup to obtain the bidding requirements of the user.
Specifically, if it is detected that a user accesses the website, but no login action of the user is detected, which indicates that the user has not previously registered, counting the duration of the user access, comparing the counted duration with a preset time, and if the duration is less than the preset time, indicating that the user access time is short, which may be browsing at will and has a small bidding intention, acquiring a date of the user access by the server for the situation, and taking the date as an investment requirement of the user;
if the duration is greater than the preset time, it indicates that the user has a longer access time, may have a more intentions to browse carefully and bid. As shown in fig. 4, for such a situation, the server generates an information acquisition popup to be displayed in front of the user for the user to fill in information, the information is mainly the area of the industry and the enterprise involved in the user's intention for bidding, and finally the server acquires and analyzes the information acquired by the information acquisition popup, and uses the analyzed result as the bidding requirement of the user. It should be noted that the preset time is a preset time required by the user to normally browse the web page. For example, if the preset time is 1 minute and the statistical duration is 50 seconds, the date XX and XX days in 2022 years of access of the user is acquired and is used as the bidding requirement; the statistical duration is 2 minutes, the user access time exceeds 1 minute, and a popup window for information collection is generated to acquire the bidding requirements of the user.
S214: carrying out condition query on bid inviting information in a bid information base according to bid requirements, wherein the condition query refers to query according to at least one of date, area and related industries;
specifically, after the bid demands of the users are acquired, the server takes the information included in the bid demands as conditions to perform condition query on bid inviting information in the bid information base. If the bidding demand only includes the date in step S210, the bidding database is conditionally queried according to the date as a condition, and the bidding information with the release date matching the date as the condition in the bidding database is found. If the bidding requirement in step S211 includes the region and the industry involved, the bidding information satisfying the bidding requirement in the bidding information base is searched.
S215: carrying out similarity evaluation on the inquired bid inviting information according to a preset similarity evaluation rule;
specifically, the bid inviting information queried from the bid information base is not directly recommended to the user, but similarity evaluation is performed according to a similarity evaluation rule, wherein the similarity evaluation refers to the similarity comparison between the queried bid inviting information and the bid requirement of the user, so that the similarity of each piece of bid inviting information is obtained. The greater the similarity, the more closely the bidding information conforms to the user's bidding requirements. It should be noted that the similarity evaluation rule is as follows: extracting the inquired bidding information and the related information of the affiliated area and the related industry, and then carrying out contact ratio calculation with the information in the user's bidding requirement, wherein the contact ratio calculation formula is as follows: (the number of the overlapped keywords in the two pieces of information is 100/the number of all the keywords included in the information in the bidding requirement)%, for example, the investment requirement of the user includes information of a region to which the "flood mountain area in wuhan city" belongs, and the investment requirement of the user is a bidding project of the flood mountain area in wuhan city, so that all the keywords are "wuhan city" and "flood mountain area" 2, the information related to the region to which the searched piece of bidding information belongs is "wuhan city 30810breach", the overlapped keywords in the two pieces of information are one of "wuhan city", and then the calculation result of the overlap ratio is (1 × 100/2)% =50%, and the calculation result is the similarity.
S216: sequencing the inquired bid inviting information according to the similarity to obtain sequenced bid inviting information;
s217: and recommending the sorted bidding information to the user as bidding information matched with the bidding requirement.
Specifically, similarity evaluation is performed on the inquired bid inviting information respectively to obtain corresponding similarity, and then the bid inviting information is sorted from large to small according to the similarity to obtain sorted bid inviting information. For example, as shown in fig. 5, there are 5 bid results queried, the similarity is 50%, 25%, 100%, 33% and 60%, then the similarity ranking is 100%, 60%, 50%, 33% and 25%, and finally the bid information is recommended to the user according to the sequence, so that the user can know the matching degree of the pushed bid information and the bid requirement, and further, the user has a reference meaning for selecting the bid item.
The implementation principle of the bidding information recommendation method in the embodiment of the application is as follows: and after bid inviting information is acquired, adding the bid inviting information into a bid inviting library, then acquiring bid winning information, and removing bid inviting information which has bid winning in the bid inviting library according to the bid winning information. When detecting that a user accesses the bidding system, detecting whether the user logs in, if so, acquiring user category information according to login information, and if the user category information is a bidding party, acquiring all previous registration information of the user as bidding requirements; and if the user category information is the tenderer, recommending a page related to the tenderer correspondingly. If the user does not log in, counting the duration of the user access, and if the duration is less than the preset time, acquiring the access date as a bidding requirement; and if the duration time is not less than the preset time, generating an information acquisition popup to obtain the bidding requirement of the user. And finally, searching matched bid inviting information from the bid information base according to the bid demand, and recommending the bid inviting information to the visiting user after sorting according to the similarity, thereby improving the accuracy of bid inviting information recommendation.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Please refer to fig. 6, which is a schematic structural diagram of a bid information recommending apparatus according to an embodiment of the present application. The automated management apparatus may be implemented as all or part of an apparatus by software, hardware, or a combination of both. The device 1 comprises an information acquisition module 11, a demand acquisition module 12 and an information recommendation module 13.
The information acquisition module 11 is configured to acquire bid inviting information and add the bid inviting information to a bid information library;
the demand acquisition module 12 is used for detecting user access and acquiring the bidding demands of the users, wherein the bidding demands comprise related industries, dates and affiliated areas;
and the information recommendation module 13 is used for recommending the bidding information matched with the bidding requirement in the bidding database to the user according to the bidding requirement.
Optionally, as shown in fig. 6, the information obtaining module 11 is specifically configured to:
grabbing parameters according to preset bidding information to acquire bidding information;
and adding the bidding information to a bidding information base in a classified manner according to the release date, the affiliated area and the involved industries.
Optionally, as shown in fig. 7, the apparatus 1 further includes:
the information comparison module 14 is used for acquiring bid-winning information, and comparing the keywords of the bid-winning information with the keywords of the bid-inviting information in the bid information library to obtain a comparison result;
and the information removing module 15 is configured to remove the bid-winning information in the label library from the label library if the comparison result indicates that the bid-winning information exists in the label library.
Optionally, as shown in fig. 6, the requirement obtaining module 12 is specifically configured to:
if the user access is detected, whether the user logs in is detected;
if the user login is detected, acquiring login information of the user, and acquiring corresponding user category information according to the login information, wherein the user category information comprises a bidder or a tenderer;
if the user category information is the bidder, acquiring registration information of the user, and using the registration information as a bidding requirement;
if the user category information is the bidding party, acquiring the company name of the bidding party, inquiring whether related bidding information exists according to the company name, and if so, recommending the related condition of the corresponding bidding item to the user;
and if the related bidding information does not exist, recommending a preset bidding project publishing page to the user.
Optionally, as shown in fig. 6, the requirement obtaining module 12 is further specifically configured to:
if the user is detected not to log in, counting the duration of the user access, and judging whether the duration is less than the preset time;
if the duration is less than the preset time, acquiring a date accessed by the user as a bidding requirement;
if the duration time is not less than the preset time, generating an information acquisition popup, wherein the information acquisition popup is used for acquiring information filled by a user and comprises the related industries and the affiliated areas of enterprises which are bid by the user;
and analyzing the information acquisition popup to obtain the bidding requirements of the user.
Optionally, as shown in fig. 6, the information recommendation module 13 is specifically configured to:
carrying out condition query on bid inviting information in the bid information base according to bid requirements, wherein the condition query refers to query according to at least one of date, affiliated area and involved industry;
carrying out similarity evaluation on the inquired bid inviting information according to a preset similarity evaluation rule;
sequencing the inquired bid inviting information according to the similarity to obtain sequenced bid inviting information;
and recommending the sorted bidding information to the user as bidding information matched with the bidding requirement.
It should be noted that, when the bidding information recommendation apparatus provided in the foregoing embodiment executes the bidding information recommendation method, only the division of the functional modules is illustrated, and in practical applications, the function distribution 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 functions described above. In addition, the embodiment of the bidding information recommendation device and the embodiment of the bidding information recommendation method provided by the above embodiments belong to the same concept, and the implementation process is detailed in the method embodiments, which is not described herein again.
The embodiment of the application also discloses a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the bidding information recommendation method of the embodiment is adopted.
The computer program may be stored in a computer readable medium, the computer program includes computer program code, the computer program code may be in a source code form, an object code form, an executable file or some intermediate form, and the like, and the computer readable medium includes any entity or device capable of carrying the computer program code, a recording medium, a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, and the like.
The bidding information recommendation method of the embodiment is stored in the computer-readable storage medium through the computer-readable storage medium, and is loaded and executed on the processor, so as to facilitate the storage and application of the method.
The embodiment of the application also discloses an electronic device, wherein a computer program is stored in a computer readable storage medium, and when the computer program is loaded and executed by a processor, the bidding information recommendation method is adopted.
The electronic device may be an electronic device such as a desktop computer, a notebook computer, or a cloud server, and the electronic device includes but is not limited to a processor and a memory, for example, the electronic device 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), and of course, according to an actual use situation, other general processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like may also be used, and the general processor may be a microprocessor or any conventional processor, and the present application does not limit the present invention.
The memory may be an internal storage unit of the electronic device, for example, a hard disk or a memory of the electronic device, or an external storage device of the electronic device, for example, a plug-in hard disk, a smart card (SMC), a secure digital card (SD) or a flash memory card (FC) provided on the electronic device, and the memory may also be a combination of the internal storage unit of the electronic device and the external storage device, and the memory is used for storing a computer program and other programs and data required by the electronic device, and may also be used for temporarily storing data that has been output or will be output, which is not limited in this application.
The electronic equipment stores the bidding information recommendation method in the embodiment in a memory of the electronic equipment, and is loaded and executed on a processor of the electronic equipment, so that the electronic equipment is convenient to use.
The above description is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure should not be limited thereby. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure are intended to be included within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A bid inviting information recommendation method is characterized by comprising the following steps:
acquiring bidding information, and adding the bidding information to a bidding information library;
detecting user access, and acquiring the bidding requirements of the user, wherein the bidding requirements comprise at least one of the industry, the date and the region to which the user belongs;
and recommending the bid inviting information matched with the bid demand in the bid information base to the user according to the bid demand.
2. The method for recommending bidding information according to claim 1, wherein the obtaining bidding information and adding the bidding information to a bidding database comprises:
grabbing parameters according to preset bidding information to acquire bidding information;
and classifying and adding the bidding information to the bidding information base according to the release date, the affiliated area and the involved industries.
3. The method for recommending bidding information according to claim 1, wherein after the obtaining bidding information and adding the bidding information to a bidding library, the method further comprises:
collecting bid-winning information, and comparing the keywords of the bid-winning information with the keywords of the bid-inviting information in the bid information library to obtain a comparison result;
and if the comparison result indicates that the bid-winning information exists in the label database, removing the bid-winning information in the label database from the label database.
4. The method of claim 1, wherein the detecting of the user access and the obtaining of the bidding requirement of the user comprises:
if the user access is detected, whether the user logs in is detected;
if the user login is detected, acquiring login information of the user, and acquiring corresponding user category information according to the login information, wherein the user category information comprises a bidder or a tenderer;
and if the user category information is the bidder, acquiring the registration information of the user, and using the registration information as the bidding requirement.
5. The method of claim 4, wherein the method further comprises:
if the user category information is a bid inviting party, acquiring a company name of the bid inviting party, inquiring whether relevant bid inviting information exists according to the company name, and if so, recommending the relevant condition of the corresponding bid inviting item to the user;
and if the related bidding information does not exist, recommending a preset bidding project publishing page to the user.
6. The method for recommending bid information according to claim 4, wherein the obtaining of the bid requirement of the user when the user access is detected comprises:
if the fact that the user does not log in is detected, counting the duration of user access, and judging whether the duration is less than preset time or not;
if the duration is less than the preset time, acquiring a date accessed by the user as the bidding requirement;
if the duration time is not less than the preset time, generating an information acquisition popup, wherein the information acquisition popup is used for acquiring information filled by a user and comprises related industries and affiliated areas of enterprises which are bid by the user;
and analyzing the information acquisition popup window to obtain the bidding requirements of the user.
7. The method for recommending bid information according to claim 1, wherein recommending bid information in the bidding database matching the bid requirement to a user according to the bid requirement comprises:
carrying out condition query on bid inviting information in the bid information base according to the bid demand, wherein the condition query refers to query according to at least one of date, affiliated area and involved industry;
carrying out similarity evaluation on the inquired bid inviting information according to a preset similarity evaluation rule;
sorting the inquired bid inviting information according to the similarity to obtain sorted bid inviting information;
and recommending the sorted bidding information to a user as the bidding information matched with the bidding requirement.
8. An invitation information recommending apparatus, comprising:
the system comprises an information acquisition module (11) for acquiring bid inviting information and adding the bid inviting information to a bid information library;
the demand acquisition module (12) is used for detecting user access and acquiring the bid demand of the user, wherein the bid demand comprises the related industry, date and the affiliated area;
and the information recommendation module (13) is used for recommending the bidding information matched with the bidding requirement in the bidding information base to the user according to the bidding requirement.
9. A computer-readable storage medium, in which a computer program is stored which, when loaded and executed by a processor, carries out the method of any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the method of any one of claims 1-7 is employed when the computer program is loaded and executed by the processor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210932382.6A CN115147196A (en) | 2022-08-04 | 2022-08-04 | Bidding information recommendation method and device, storage medium and electronic equipment |
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| CN202210932382.6A CN115147196A (en) | 2022-08-04 | 2022-08-04 | Bidding information recommendation method and device, storage medium and electronic equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117689456A (en) * | 2023-11-28 | 2024-03-12 | 电能易购(北京)科技有限公司 | Electric power engineering bid information management method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117689456A (en) * | 2023-11-28 | 2024-03-12 | 电能易购(北京)科技有限公司 | Electric power engineering bid information management method and system |
| CN117689456B (en) * | 2023-11-28 | 2024-05-17 | 电能易购(北京)科技有限公司 | Electric power engineering bid information management method and system |
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