CN111080409A - Computer device, method, equipment and medium for pushing information - Google Patents
Computer device, method, equipment and medium for pushing information Download PDFInfo
- Publication number
- CN111080409A CN111080409A CN201911252170.8A CN201911252170A CN111080409A CN 111080409 A CN111080409 A CN 111080409A CN 201911252170 A CN201911252170 A CN 201911252170A CN 111080409 A CN111080409 A CN 111080409A
- Authority
- CN
- China
- Prior art keywords
- information
- supplier
- matching
- pushing
- purchasing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The application discloses a computer device, a method, equipment and a medium for pushing information, which comprise the following steps: the purchasing information acquisition module is used for acquiring purchasing information issued by a purchasing party; the supplier and seller information acquisition module is used for acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally; the information matching module is used for matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each item of matching information; the pushing supplier determining module is used for determining suppliers to be pushed according to the matching degree and weight of each matching information, the historical reference information and the historical reference information weight; and the information pushing module is used for pushing the supplier to be pushed to the user terminal of the purchasing party. Therefore, historical data of the suppliers are referred in the process of determining the suppliers to be pushed, the accuracy of information pushing can be improved, and the user experience is improved.
Description
Technical Field
The present application relates to the field of information push technologies, and in particular, to a computer apparatus, a method, a device, and a medium for pushing information
Background
With the gradual improvement of the purchasing management system in China, the daily operation of government departments depends on the implementation of government purchasing behaviors, and in addition, the nation continuously advocates the specialization, informatization and centralization of government behaviors in recent years, and promotes the daily purchasing and bidding behaviors of the government to gradually start to be carried out by using the mode of online release and online operation. This increasingly significant trend has directly led to the rapid development of online government procurement platforms. The largest requirement of the government for using the purchasing platform is to complete release, tender and purchase by using a purchasing plan. At present, in daily work of governments, goods to be purchased have great differences due to different departments, different requirements and different periods, and the goods purchased by the same department at different periods are also different. This prevents a government entity from having a long fixed purchase of several suppliers and distributors, and yet requires re-tender screening for each purchase. On the other hand, with the continuous improvement of the platform awareness, more and more suppliers and sellers start to reside in the platform to provide procurement services for governments. These suppliers come from different fields, each offering a totally different type of service to the government, and the products they can offer vary. The difference between the two purchasing parties and the time-delay of information transmission finally result in the situation that benefits of both the government and the supplier and the seller are damaged. In the aspect of government, due to time limitation and other factors, the best matching supplier cannot be selected, and finally, commodities with high price and low quality have to be purchased, so that national assets are wasted. And the suppliers and the distributors cannot form effective screening matching because of excessive purchasing plan data issued in the platform, and finally miss some very suitable business opportunities.
Disclosure of Invention
In view of this, an object of the present application is to provide a computer device, a method, a device and a medium for pushing information, which can improve the accuracy of information pushing, thereby improving user experience. The specific scheme is as follows:
in a first aspect, the present application discloses a computer apparatus for pushing information, including:
the purchasing information acquisition module is used for acquiring purchasing information issued by a purchasing party;
the supplier and seller information acquisition module is used for acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally;
the information matching module is used for matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each matching information;
the pushing supplier determining module is used for determining suppliers to be pushed according to the matching degree and weight of each matching information, the historical reference information and the weight of the historical reference information;
and the information pushing module is used for pushing the supplier to be pushed to the user terminal of the purchasing party.
Optionally, the information matching module includes:
the information extraction submodule is used for extracting the key words of the purchasing information and the supplier and seller information;
and the information matching submodule is used for matching the extracted keywords to obtain the matching information and the matching degree corresponding to each item of matching information.
Optionally, the pushed supplier determining module is specifically configured to determine, according to the matching degree and weight of each matching information, and the historical reference information and weight thereof, a recommended value corresponding to each supplier by using a preset value-taking rule, then sort suppliers according to the size of the recommended value, and determine, according to a sorting result, a preset number of suppliers as the suppliers to be pushed.
Optionally, the system further includes a value rule determining module, specifically configured to determine, for each preset recommended reference dimension, a value rule corresponding to the preset recommended reference dimension; the preset recommendation reference dimension comprises the matching information and the historical reference information; and the value-taking rule is determined according to the matching degree or historical data.
Optionally, the push supplier determining module further includes:
and the value-taking rule searching submodule is used for searching the value-taking rules corresponding to the matching information and the historical reference information so as to determine the recommended value corresponding to each supplier and seller by using the searched value-taking rules.
Optionally, the system further comprises a supplier and seller historical data updating module, configured to update the supplier and seller historical data in real time according to the user behavior, and store the updated historical data to the local.
Optionally, the information pushing module further includes:
and the purchasing information pushing submodule is used for pushing corresponding purchasing information to the user terminal of the supplier to be pushed.
In a second aspect, the present application discloses a method for pushing information, including:
acquiring purchasing information issued by a purchasing party;
acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally;
matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each matching information;
determining suppliers to be pushed according to the matching degree and weight of each item of matching information, the historical reference information and the weight of the historical reference information;
and pushing the supplier to be pushed to a user terminal of a purchasing party.
In a third aspect, the application discloses an apparatus for pushing information, comprising a processor and a memory; wherein the content of the first and second substances,
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the foregoing method for pushing information.
In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the aforementioned method for pushing information.
Therefore, the information pushing computer device disclosed by the application comprises a purchasing information acquisition module, a pushing module and a pushing module, wherein the purchasing information acquisition module is used for acquiring purchasing information issued by a purchasing party; the supplier and seller information acquisition module is used for acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally; the information matching module is used for matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each matching information; the pushing supplier determining module is used for determining suppliers to be pushed according to the matching degree and weight of each matching information, the historical reference information and the weight of the historical reference information; and the information pushing module is used for pushing the supplier to be pushed to the user terminal of the purchasing party. Therefore, by matching the purchase information and the supplier and seller information and then determining the supplier and seller to be pushed according to the matching degree and weight of each item of matching information and the historical reference information of the preset type of the supplier and seller, namely, the historical data of the supplier and seller is referred in the process of determining the supplier and seller to be pushed, the accuracy of information pushing can be improved, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic diagram of a computer device for pushing information according to the present disclosure;
FIG. 2 is a flow chart of information extraction disclosed herein;
FIG. 3 is a flow chart of an intelligent algorithm recommendation disclosed herein;
fig. 4 is a flow chart of information pushing disclosed in the present application;
FIG. 5 is a flow chart illustrating a purchase transaction of a push-based computer device according to the present disclosure;
FIG. 6 is a block diagram of an exemplary information push computer device according to the present disclosure;
FIG. 7 is a flowchart of a method for pushing information according to the present disclosure;
fig. 8 is a structural diagram of an apparatus for pushing information disclosed in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, an embodiment of the present application discloses a computer apparatus for pushing information, including:
and the purchasing information acquisition module 11 is used for acquiring purchasing information issued by a purchasing party.
In a specific embodiment, the purchase information may include, but is not limited to, a release unit, a purchased commodity, a unit price of an expected commodity, a purchase quantity, a location of the release unit, a purchase time limit, a limiting condition, and the like, and the supplier and seller information obtaining module 12 is configured to obtain supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally.
In a specific embodiment, the real-time supply information may include, but is not limited to, the operation range of the supplier, that is, including the supply and sale goods, the price of the supply and sale goods, the inventory of the goods, the location of the supplier, the service provided and the corresponding service period, and the like, for example, the after-sale service provided, that is, the corresponding free service period. The historical reference information includes, but is not limited to, evaluation information of suppliers, bid-winning times, liveness and the like.
And the information matching module 13 is used for matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each matching information.
In a specific embodiment, the information matching module 13 includes an information extraction sub-module and an information matching sub-module.
And the information extraction submodule is used for extracting the key words of the purchasing information and the supplier and seller information.
And the information matching submodule is used for matching the extracted keywords to obtain the matching information and the matching degree corresponding to each item of matching information.
And a pushed supplier determining module 14, configured to determine suppliers to be pushed according to the matching degree and weight of each matching information, the historical reference information, and the weight thereof.
In a specific implementation manner, the pushed supplier determining module 14 is specifically configured to determine, according to the matching degree and weight of each matching information, and the historical reference information and weight thereof, a recommended value corresponding to each supplier by using a preset value-taking rule, then sort the suppliers according to the size of the recommended value, and determine a preset number of suppliers as the suppliers to be pushed according to a sorting result.
And the information pushing module 15 is used for pushing the supplier to be pushed to the user terminal of the purchasing party.
Therefore, the information pushing computer device disclosed by the application comprises a purchasing information acquisition module, a pushing module and a pushing module, wherein the purchasing information acquisition module is used for acquiring purchasing information issued by a purchasing party; the supplier and seller information acquisition module is used for acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally; the information matching module is used for matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each matching information; the pushing supplier determining module is used for determining suppliers to be pushed according to the matching degree and weight of each matching information, the historical reference information and the weight of the historical reference information; and the information pushing module is used for pushing the supplier to be pushed to the user terminal of the purchasing party. Therefore, by matching the purchase information and the supplier and seller information and then determining the supplier and seller to be pushed according to the matching degree and weight of each item of matching information and the historical reference information of the preset type of the supplier and seller, namely, the historical data of the supplier and seller is referred in the process of determining the supplier and seller to be pushed, the accuracy of information pushing can be improved, and the user experience is improved.
The information pushing computer device further comprises a value rule determining module, which is specifically used for determining a corresponding value rule for each preset recommended reference dimension; the preset recommendation reference dimension comprises the matching information and the historical reference information; and the value-taking rule is determined according to the matching degree or historical data. For example, as shown in table one, the value-taking rule determining module first determines a preset recommended reference dimension, which may include, but is not limited to, supplier liveness, supplier score, bid-winning number, commodity list, commodity unit price/limit price, after-sale period, purchase unit (government unit)/supplier location, service capability (whether to deliver goods to the home), other purchase requirements, and latest purchase period, and it is understood that the corresponding recommended reference dimension may be added or deleted according to business requirements.
Watch 1
The pushed supplier determining module 14 further includes a value rule searching sub-module, configured to search for a value rule corresponding to the matching information and the historical reference information, so as to determine a recommended value corresponding to each supplier by using the searched value rule. That is, the push supplier determining module 14 is configured to search the value rule corresponding to each item of matching information and the historical reference information, and then determine the score of each item of matching information according to the value rule corresponding to each item of matching information and the matching degree of each item of matching information, for example, the matching information is the unit price of a commodity, if all commodities of suppliers do not exceed the limit price, the score of the item of matching information is 100, if 80% of the commodities do not exceed the limit price, the score of the item of matching information is 80, if 50% of the commodities do not exceed the limit price, the score of the item of matching information is 60, and if 50% of the commodities exceed the limit price, the score of the item of matching information is 0. Determining the score of each item of historical reference information according to the value-taking rule corresponding to each item of historical reference information and the historical data of each item of historical reference information, then, the determined scores are weighted and calculated according to the corresponding weights to obtain recommended values of suppliers, for example, the activity of a certain supplier is 100 points, the grade of the supplier is 100 points, the winning number of the bid is 100 points, the commodity list is 100 points, the commodity unit price/the limit price is 100 points, the after-sale period is 100 points, the purchasing unit (government unit)/the location of the supplier is 100 points, the service capability (whether to deliver goods to the door) is 100 points, other purchasing requirements are 100 points, and the purchasing latest period is 100 points, the recommended value of the supply quotient is 100 × 2% +100 × 10% +100 × 4% +100 × 25% +100 × 15% +100 × 10% +60 × 5% + 100% + 5% +100 × 4% +60 × 5% + 96. That is, the recommendation is the sum of the singleton scores and the singleton weights. The recommendation ranking takes the recommendation value as a unique dimension, the recommendation ranking is sorted from high to low, and the top 10 recommendations can be taken for recommendation.
Further, the information pushing module further includes: and the purchasing information pushing submodule is used for pushing corresponding purchasing information to the user terminal of the supplier to be pushed. That is, this embodiment may push the corresponding supplier to the purchasing party, and may also push the corresponding purchasing information to the supplier.
For example, the information pushing apparatus of the present application is applied to a government purchasing platform, see fig. 2, fig. 2 is an information extraction flowchart disclosed in an embodiment of the present application, and on a government unit side, a government registers an account number first and then adds and issues a purchasing plan, so that the platform acquires corresponding purchasing information, and then performs information extraction on the purchasing information, specifically, extracting keywords from the purchasing information, where the extracted keyword information on the government side includes a commodity list, a commodity limit price, an after-sale deadline, an expected purchasing quantity, a location of a publishing unit, namely, the government unit, a service capability (whether to deliver goods to the home), other purchasing requirements, and a latest purchasing deadline. At the supplier and seller side, the suppliers register and complete the bidding and other behaviors, so that the platform acquires the information of the suppliers and then extracts the information of the suppliers, specifically, keywords are extracted from the information of the suppliers and the suppliers, and the extracted keyword information of the suppliers and the suppliers comprises the liveness of the suppliers, the grade of the suppliers and the suppliers, the bid-winning times, the commodity list, the commodity unit price, the after-sale period, the purchasing unit, the location of the suppliers and the sellers, the service capacity (whether the suppliers are delivered to the home or not), other purchasing requirements and the latest purchasing period. The extracted information is then input into an intelligent algorithm module comprising an information matching sub-module and a push supplier and seller determination module 14. Referring to fig. 3, fig. 3 is an intelligent algorithm recommendation flow chart disclosed in the embodiment of the present application, information extracted by a platform is input into an intelligent algorithm module, data identification and conversion are performed, data of a government side and data of a supplier side are compared, a weight score of each matching information of each supplier is calculated, a recommended supplier list is determined according to the weight score, then the platform performs information display, a government side displays high-quality supplier information, and a supplier side displays a recommended purchase plan. Referring to fig. 4, fig. 4 is a flowchart of information recommendation disclosed in the present application. The method comprises the steps of firstly extracting information of a purchasing plan and information of suppliers and distributors, then inputting the information into an intelligent algorithm module, comparing the suppliers and the distributors through a full platform of the intelligent algorithm module to determine the suppliers and the distributors to be recommended, then pushing a recommended supplier and distributor name list to a government unit through the platform, and pushing a corresponding purchasing plan to the suppliers and the distributors meeting conditions. Referring to fig. 5, fig. 5 is a flowchart illustrating a purchase transaction of a computer device based on push information according to an embodiment of the present disclosure. The method comprises the steps of extracting information issued by a purchasing party user and a supply and sale party of a platform, inputting the extracted information into a platform intelligent algorithm module, outputting a recommended supply and sale provider list, identifying the role of the platform user, pushing a matched supply and sale provider list to a user terminal of the platform if the platform user is a government unit, judging whether the platform user is in the recommended list if the platform user is the supply and sale provider, pushing purchasing plan information to the user terminal if the platform user is the government unit, not pushing a corresponding purchasing plan to the user terminal if the platform user is not the government unit, and contacting the other party to carry out purchasing negotiation through a communication interface provided by the platform if the user is satisfied with the recommendation scheme.
Referring to fig. 6, an embodiment of the present application discloses a specific information pushing computer device, including:
the purchasing information acquisition module 21 is configured to acquire purchasing information issued by a purchasing party;
a supplier and seller information acquisition module 22, configured to acquire supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally;
the information matching module 23 is configured to match the purchasing information with the supplier and seller information to obtain matching information and a matching degree corresponding to each matching information;
the pushing supplier determining module 24 is configured to determine suppliers to be pushed according to the matching degree and weight of each matching information, the historical reference information and the weight thereof;
and the information pushing module 25 is configured to push the supplier to be pushed to a user terminal of the purchasing party.
And the supplier and seller historical data updating module 26 is used for updating the supplier and seller historical data in real time according to the user behavior and storing the updated historical data to the local.
In a specific implementation manner, the historical data of the suppliers and the sellers is updated in real time according to user behaviors, such as evaluation information of the buyers on the suppliers and the sellers, activity of the suppliers and the seller, the bid-winning times and the like, so that the historical reference information of a preset type can be extracted from the real-time updated historical data, recommended supplier and seller information is more and more accurate, and user satisfaction is more and more high. In addition, an intelligent recommendation algorithm can be optimized, for example, a rating item of the purchasing party to the supplier and the seller is added in the intelligent recommendation algorithm, so that the satisfaction degree of the purchasing party to the recommended supplier information can be improved according to the early-stage preference of the purchasing party, and certainly, when the purchasing plan is pushed to the supplier, the corresponding purchasing plan pushing can be carried out according to the evaluation information of the supplier to the purchasing party. Thus, user stickiness can be improved by improving the accuracy of the recommendation algorithm.
Referring to fig. 7, an embodiment of the present application discloses a method for pushing information, including:
step S11: and acquiring purchasing information issued by a purchasing party.
Step S12: acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally.
Step S13: and matching the purchasing information with the supplier and seller information to obtain matching information and the matching degree corresponding to each item of matching information.
In a specific implementation manner, the keywords of the purchase information and the supply and marketing information may be extracted, and then the extracted keywords are matched to obtain the matching information and the matching degree corresponding to each matching information.
Step S14: and determining the suppliers to be pushed according to the matching degree and the weight of each item of matching information, the historical reference information and the weight thereof.
In a specific implementation manner, according to the matching degree and weight of each matching information, the historical reference information and the weight thereof, a preset value rule is used to determine a recommended value corresponding to each supplier and seller, then suppliers are sorted according to the recommended value, and a preset number of suppliers are determined as the suppliers to be pushed according to a sorting result.
Moreover, the implementation can respectively determine the value-taking rule corresponding to each preset recommended reference dimension; the preset recommendation reference dimension comprises the matching information and the historical reference information; and the value-taking rule is determined according to the matching degree or historical data. In the process of calculating the recommended value, the value-taking rules corresponding to the matching information and the historical reference information are searched first, and then the recommended value corresponding to each supplier and seller is determined by using the searched value-taking rules.
Step S15: and pushing the supplier to be pushed to a user terminal of a purchasing party.
In addition, the embodiment may also push corresponding purchase information to the user terminal of the supplier to be pushed.
Further, the embodiment can update the historical data of the suppliers in real time according to the user behavior, and store the updated historical data to the local.
Therefore, the embodiment of the application firstly acquires the purchasing information issued by the purchasing party and acquires the information of the supplier and the seller; the information of the suppliers and the sellers comprises real-time supply information of the suppliers and historical reference information of preset types extracted from historical data of the suppliers and the sellers stored locally, then the purchasing information and the information of the suppliers and the sellers are matched to obtain matching information and matching degree corresponding to each matching information, the suppliers and the sellers to be pushed are determined according to the matching degree and weight of each matching information and the historical reference information and weight thereof, and finally the suppliers and the sellers to be pushed are pushed to a user terminal of a purchasing party. Therefore, by matching the purchase information and the supplier and seller information and then determining the supplier and seller to be pushed according to the matching degree and weight of each item of matching information and the historical reference information of the preset type of the supplier and seller, namely, the historical data of the supplier and seller is referred in the process of determining the supplier and seller to be pushed, the accuracy of information pushing can be improved, and the user experience is improved.
Referring to fig. 8, an embodiment of the present application discloses an apparatus for pushing information, which includes a processor 21 and a memory 22; wherein, the memory 22 is used for saving computer programs; the processor 21 is configured to execute the computer program to implement the method for pushing information disclosed in the foregoing embodiments.
For the specific process of the above method for pushing information, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not repeated here.
Further, an embodiment of the present application also discloses a computer-readable storage medium for storing a computer program, where the computer program is executed by a processor to implement the method for pushing information disclosed in the foregoing embodiment.
For the specific process of the above method for pushing information, reference may be made to the corresponding content disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The foregoing detailed description is directed to a computer device, a method, an apparatus, and a medium for pushing information provided by the present application, and specific examples are applied in the present application to explain the principles and implementations of the present application, and the descriptions of the foregoing examples are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A computer device for pushing information, comprising:
the purchasing information acquisition module is used for acquiring purchasing information issued by a purchasing party;
the supplier and seller information acquisition module is used for acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally;
the information matching module is used for matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each matching information;
the pushing supplier determining module is used for determining suppliers to be pushed according to the matching degree and weight of each matching information, the historical reference information and the weight of the historical reference information;
and the information pushing module is used for pushing the supplier to be pushed to the user terminal of the purchasing party.
2. A push information computer device as claimed in claim 1, wherein the information matching module comprises:
the information extraction submodule is used for extracting the key words of the purchasing information and the supplier and seller information;
and the information matching submodule is used for matching the extracted keywords to obtain the matching information and the matching degree corresponding to each item of matching information.
3. A push information computer arrangement according to claim 1,
the push supplier determining module is specifically configured to determine a recommended value corresponding to each supplier according to the matching degree and weight of each matching information, the historical reference information and the weight thereof, determine a recommended value corresponding to each supplier according to a preset value-taking rule, sort the suppliers according to the recommended values, and determine a preset number of suppliers as the suppliers to be pushed according to a sorting result.
4. A push messaging computer device as in claim 3, further comprising:
the value rule determining module is specifically used for determining a value rule corresponding to each preset recommended reference dimension; the preset recommendation reference dimension comprises the matching information and the historical reference information; and the value-taking rule is determined according to the matching degree or historical data.
5. The push information computer device of claim 4, wherein the push supplier determination module further comprises:
and the value-taking rule searching submodule is used for searching the value-taking rules corresponding to the matching information and the historical reference information so as to determine the recommended value corresponding to each supplier and seller by using the searched value-taking rules.
6. A push messaging computer device as in claim 1, further comprising:
and the supplier historical data updating module is used for updating the historical data of the suppliers in real time according to the user behavior and storing the updated historical data to the local.
7. A computer apparatus for pushing information according to any one of claims 1 to 6, wherein the information pushing module further comprises:
and the purchasing information pushing submodule is used for pushing corresponding purchasing information to the user terminal of the supplier to be pushed.
8. A method for pushing information, comprising:
acquiring purchasing information issued by a purchasing party;
acquiring supplier and seller information; the supplier information comprises real-time supply information of suppliers and historical reference information of preset types extracted from historical data of the suppliers stored locally;
matching the purchasing information with the supplier and seller information to obtain matching information and matching degree corresponding to each matching information;
determining suppliers to be pushed according to the matching degree and weight of each item of matching information, the historical reference information and the weight of the historical reference information;
and pushing the supplier to be pushed to a user terminal of a purchasing party.
9. An apparatus for pushing information, comprising a processor and a memory; wherein the content of the first and second substances,
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the method of pushing information according to claim 8.
10. A computer-readable storage medium for storing a computer program, wherein the computer program when executed by a processor implements the method of pushing information according to claim 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911252170.8A CN111080409A (en) | 2019-12-09 | 2019-12-09 | Computer device, method, equipment and medium for pushing information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911252170.8A CN111080409A (en) | 2019-12-09 | 2019-12-09 | Computer device, method, equipment and medium for pushing information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111080409A true CN111080409A (en) | 2020-04-28 |
Family
ID=70313443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911252170.8A Pending CN111080409A (en) | 2019-12-09 | 2019-12-09 | Computer device, method, equipment and medium for pushing information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111080409A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111882391A (en) * | 2020-07-25 | 2020-11-03 | 广州城市职业学院 | BIM intelligent system of auxiliary bid procurement system |
| CN111932345A (en) * | 2020-08-17 | 2020-11-13 | 政采云有限公司 | Information pushing method and device |
| CN112465592A (en) * | 2020-11-26 | 2021-03-09 | 珠海新海通电子商务有限公司 | Intelligent commodity recommending method based on platform |
| CN112528143A (en) * | 2020-12-02 | 2021-03-19 | 洲际传媒信息技术(辽宁)有限公司 | Intelligent pushing method and system for price inquiring order |
| CN112560433A (en) * | 2020-12-15 | 2021-03-26 | 北京百炼智能科技有限公司 | Information processing method and device |
| CN113687876A (en) * | 2021-08-17 | 2021-11-23 | 华北电力大学（保定） | Information processing method, automatic driving control method and electronic equipment |
| CN114387010A (en) * | 2021-12-07 | 2022-04-22 | 北京隆道网络科技有限公司 | Information pushing method and system based on supply chain management |
| CN117422378A (en) * | 2023-10-30 | 2024-01-19 | 龙腾数科技术有限公司 | Intelligent management method and system for purchase supply |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050177507A1 (en) * | 2001-02-05 | 2005-08-11 | Notiva Corporation | Method and system for processing transactions |
| US20130262104A1 (en) * | 2012-03-28 | 2013-10-03 | Subhash Makhija | Procurement System |
| WO2015163493A1 (en) * | 2014-04-21 | 2015-10-29 | 정재석 | Service relay method considering matching degree and system according to same |
| CN105956896A (en) * | 2016-04-15 | 2016-09-21 | 郑州悉知信息科技股份有限公司 | Purchasing method, server and terminal equipment |
| CN105956817A (en) * | 2016-07-22 | 2016-09-21 | 深圳市赛普爱德科技股份有限公司 | Bidding management method for purchase supplier |
| CN107292530A (en) * | 2017-07-03 | 2017-10-24 | 诚品优选（北京）电子商务有限公司 | Intelligent purchase of goods and materials method, service end and intelligent purchase of goods and materials system |
| CN108537623A (en) * | 2018-03-07 | 2018-09-14 | 中国电能成套设备有限公司 | Supplier recommends method and system in a kind of e-commerce |
| CN109727096A (en) * | 2018-12-29 | 2019-05-07 | 物融通科技有限责任公司 | Materials for capital construction purchasing management method and system suitable for internet |
| US20190205993A1 (en) * | 2017-12-29 | 2019-07-04 | The Beans | Transaction data categorizer system and method |
| CN110223141A (en) * | 2019-05-24 | 2019-09-10 | 深圳市彬讯科技有限公司 | A kind of matching process, device, computer equipment and storage medium |
-
2019
- 2019-12-09 CN CN201911252170.8A patent/CN111080409A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050177507A1 (en) * | 2001-02-05 | 2005-08-11 | Notiva Corporation | Method and system for processing transactions |
| US20130262104A1 (en) * | 2012-03-28 | 2013-10-03 | Subhash Makhija | Procurement System |
| WO2015163493A1 (en) * | 2014-04-21 | 2015-10-29 | 정재석 | Service relay method considering matching degree and system according to same |
| CN105956896A (en) * | 2016-04-15 | 2016-09-21 | 郑州悉知信息科技股份有限公司 | Purchasing method, server and terminal equipment |
| CN105956817A (en) * | 2016-07-22 | 2016-09-21 | 深圳市赛普爱德科技股份有限公司 | Bidding management method for purchase supplier |
| CN107292530A (en) * | 2017-07-03 | 2017-10-24 | 诚品优选（北京）电子商务有限公司 | Intelligent purchase of goods and materials method, service end and intelligent purchase of goods and materials system |
| US20190205993A1 (en) * | 2017-12-29 | 2019-07-04 | The Beans | Transaction data categorizer system and method |
| CN108537623A (en) * | 2018-03-07 | 2018-09-14 | 中国电能成套设备有限公司 | Supplier recommends method and system in a kind of e-commerce |
| CN109727096A (en) * | 2018-12-29 | 2019-05-07 | 物融通科技有限责任公司 | Materials for capital construction purchasing management method and system suitable for internet |
| CN110223141A (en) * | 2019-05-24 | 2019-09-10 | 深圳市彬讯科技有限公司 | A kind of matching process, device, computer equipment and storage medium |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111882391A (en) * | 2020-07-25 | 2020-11-03 | 广州城市职业学院 | BIM intelligent system of auxiliary bid procurement system |
| CN111932345A (en) * | 2020-08-17 | 2020-11-13 | 政采云有限公司 | Information pushing method and device |
| CN112465592A (en) * | 2020-11-26 | 2021-03-09 | 珠海新海通电子商务有限公司 | Intelligent commodity recommending method based on platform |
| CN112528143A (en) * | 2020-12-02 | 2021-03-19 | 洲际传媒信息技术(辽宁)有限公司 | Intelligent pushing method and system for price inquiring order |
| CN112560433A (en) * | 2020-12-15 | 2021-03-26 | 北京百炼智能科技有限公司 | Information processing method and device |
| CN112560433B (en) * | 2020-12-15 | 2024-04-19 | 北京百炼智能科技有限公司 | Information processing method and device |
| CN113687876A (en) * | 2021-08-17 | 2021-11-23 | 华北电力大学（保定） | Information processing method, automatic driving control method and electronic equipment |
| CN113687876B (en) * | 2021-08-17 | 2023-05-23 | 华北电力大学（保定） | Information processing method, automatic driving control method and electronic device |
| CN114387010A (en) * | 2021-12-07 | 2022-04-22 | 北京隆道网络科技有限公司 | Information pushing method and system based on supply chain management |
| CN114387010B (en) * | 2021-12-07 | 2022-07-12 | 北京隆道网络科技有限公司 | Information pushing method and system based on supply chain management |
| CN117422378A (en) * | 2023-10-30 | 2024-01-19 | 龙腾数科技术有限公司 | Intelligent management method and system for purchase supply |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111080409A (en) | Computer device, method, equipment and medium for pushing information | |
| CN110222272B (en) | Potential customer mining and recommending method | |
| US20200065750A1 (en) | Inventory management system and method thereof | |
| CN112837118B (en) | Commodity recommendation method and device for enterprise users | |
| CN103890762A (en) | Information processing device, information processing method, information processing program, and recording medium | |
| CN104462333A (en) | Shopping search recommending and alarming method and system | |
| CN110111179B (en) | Drug combination recommendation method and device and computer readable storage medium | |
| CN107679103B (en) | Attribute analysis method and system for entity | |
| CN116308684B (en) | Online shopping platform store information pushing method and system | |
| CN109711917B (en) | Information pushing method and device | |
| CN104408648A (en) | Method and device for choosing items | |
| US20150178768A1 (en) | System and method for intermediating electronic commerce using offline transaction information | |
| CN112102031A (en) | Recommendation method, recommendation device and terminal equipment | |
| CN111932345A (en) | Information pushing method and device | |
| CN114820123A (en) | Group purchase commodity recommendation method, device, equipment and storage medium | |
| CN111429214A (en) | Transaction data-based buyer and seller matching method and device | |
| KR20220026255A (en) | Recommendation System for Health Supplement by Using Big Data | |
| CN109767299B (en) | Demand information providing method and apparatus, storage medium, and electronic device | |
| CN104331823B (en) | It is determined that the method and device for the middle keyword reservation price that releases news | |
| CN116402569A (en) | Commodity recommendation method, device and system based on knowledge graph and storage medium | |
| CN114219589B (en) | Virtual entity object generation and page display method and device and electronic equipment | |
| US20190087890A1 (en) | Purchase guide information providing system with intelligent selecting functions mounted and method therefor | |
| CN110110222B (en) | Target object determination method and device and computer storage medium | |
| CN114996579A (en) | Information pushing method and device, electronic equipment and computer readable medium | |
| CN113781171A (en) | Information pushing method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200428 |
|
| RJ01 | Rejection of invention patent application after publication |