CN111932345A - Information pushing method and device - Google Patents
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- G—PHYSICS
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- 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
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- G06Q30/0631—Item recommendations
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- G—PHYSICS
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- 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
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Abstract
The present specification provides an information push method and an information push device, wherein the information push method includes: acquiring purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information; acquiring supplier information of related suppliers and sellers and historical transaction information of the suppliers and the sellers according to the purchase object information; determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information; determining a recommended transaction price of the supplier to be pushed for the purchasing object according to target historical transaction information related to the first class of objects in the historical transaction information; and pushing the supplier to be pushed and the recommended transaction price to the purchasing party. According to the information pushing method, the historical data information is used for recommending high-quality suppliers and high-quality sellers and expected transaction prices, so that purchasing behaviors are efficient, economic and transparent, and the transaction efficiency of the purchasing behaviors is improved.
Description
Technical Field
The present disclosure relates to the field of information processing technologies, and in particular, to an information push method. The specification also relates to an information pushing device, a computing device and a computer readable storage medium.
Background
With the improvement and development of the purchasing system, the specialization, informatization and centralization of bid-inviting purchase are promoted in order, and the development of a purchasing platform is greatly promoted. In turn, as the purchasing platform develops towards intellectualization and big data, the purchasing party is prompted to use an on-line bidding and bidding mode to attract supply and marketing suppliers nationwide to quote, and finally, purchasing is carried out on the low-priced and high-priced users.
With the continuous development of the platform, the number of buyers and sellers is increased exponentially, but the problems of unsmooth information exchange between the buyers and the sellers and low transaction efficiency exist. Firstly, a purchasing party cannot acquire high-quality supplier and seller information in time, and the success rate and the transaction efficiency of purchasing behaviors are difficult to ensure; secondly, suppliers and sellers can not obtain bidding information in time, resulting in lost business opportunity. At present, a purchasing platform on the market does not have intelligent identification recommendation capability in a bidding stage, transverse data in the platform cannot be intercommunicated, information of buyers and sellers cannot be effectively exchanged, and platform data is directly wasted in an idle mode. The user has extremely low two-way selection efficiency, and finally the platform has poor use experience.
Disclosure of Invention
In view of this, the embodiments of the present specification provide an information pushing method. The present specification also relates to an information pushing apparatus, a computing device, and a computer-readable storage medium to solve the technical problems in the prior art.
According to a first aspect of embodiments of the present specification, there is provided an information pushing method, including:
acquiring purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information;
acquiring supplier information of related suppliers and sellers and historical transaction information of the suppliers and the sellers according to the purchase object information;
determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
determining a recommended transaction price of the supplier and seller to be pushed for a purchasing object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchasing object belong to the same class;
and pushing the supplier to be pushed and the recommended transaction price to the purchasing party.
Optionally, the target historical transaction information is historical transaction information of the to-be-pushed seller, and determining a recommended transaction price of the to-be-pushed seller for the purchase object according to the target historical transaction information related to the first class of object in the historical transaction information includes:
and acquiring the historical transaction price of the supplier to be pushed for the first class of objects in the historical transaction information, and determining the recommended transaction price of the supplier to be pushed for the purchasing object by adopting a preset first value-taking rule according to the historical transaction price.
Optionally, the supplier information includes dynamic supply information of suppliers and historical reference information of preset types extracted from historical data of suppliers, and the determining of the suppliers to be pushed according to the weights of the purchase information, the supplier information, and the supplier information includes:
obtaining the matching degree of the dynamic supply information and the purchasing information;
and determining suppliers to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information.
Optionally, the information pushing method further includes:
receiving a deletion and/or a sorting of the dynamic provisioning information and the historical reference information by a purchasing party;
adjusting the weight of the dynamic provisioning information and the weight of the historical reference information according to the pruning and/or ranking.
Optionally, the information pushing method further includes:
and correcting the category to which the purchase object belongs.
Optionally, the information pushing method further includes:
determining the historical average delivery cycle of the supplier to be pushed according to the historical transaction information;
and pushing the historical average delivery cycle to a purchasing party.
Optionally, determining the supplier to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information, and the weight of the historical reference information includes:
determining a recommended value corresponding to each supplier and seller by using a preset second value-taking rule according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information;
and sequencing suppliers according to the recommended value, and determining a preset number of suppliers as the suppliers to be pushed according to the sequencing result.
Optionally, the information pushing method further includes:
and respectively determining corresponding second value-taking rules aiming at each item of dynamic supply information and historical reference information, wherein the second value-taking rules are determined according to the matching degree of each item of dynamic supply information and the purchase information or the historical data of suppliers and sellers.
Optionally, the information pushing method further includes: and dynamically updating historical data and historical transaction information of the supplier and the seller according to the user behavior, and storing the updated historical data and historical transaction information to the local.
Optionally, the information pushing method further includes: and pushing corresponding purchasing information to the to-be-pushed supplier and seller.
According to a second aspect of embodiments herein, there is provided an information pushing apparatus including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire purchasing information issued by a purchasing party, and the purchasing information comprises purchasing object information;
the second acquisition module is configured to acquire related supplier information of suppliers and seller and historical transaction information of the suppliers and sellers according to the purchase object information;
the first determination module is configured to determine suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
a second determination module configured to determine a recommended transaction price of the supplier and seller to be pushed for a purchase object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchase object belong to the same class;
the first pushing module is configured to push the supplier to be pushed and the recommended transaction price to the buyer.
Optionally, the target historical transaction information is historical transaction information of the supplier to be pushed, and the second determining module is further configured to:
and acquiring the historical transaction price of the supplier to be pushed for the first class of objects in the historical transaction information, and determining the recommended transaction price of the supplier to be pushed for the purchasing object by adopting a preset first value-taking rule according to the historical transaction price.
Optionally, the supplier information includes dynamic supply information of suppliers and historical reference information of a preset type extracted from historical data of suppliers, and the first determination module is further configured to:
obtaining the matching degree of the dynamic supply information and the purchasing information;
and determining suppliers to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information.
Optionally, the information pushing apparatus further includes:
a receiving module configured to receive a pruning and/or ranking of the dynamic provisioning information and the historical reference information by a purchasing party;
an adjusting module configured to adjust the weight of the dynamic provisioning information and the weight of the historical reference information according to the pruning and/or ranking.
Optionally, the information pushing apparatus further includes:
and the correcting module is configured to correct the category to which the purchasing object belongs.
Optionally, the information pushing apparatus further includes:
a third determination module configured to determine a historical average delivery period of the to-be-pushed supplier based on the historical transaction information;
a second push module configured to push the historical average delivery cycle to a purchaser.
Optionally, the first determining module is further configured to:
determining a recommended value corresponding to each supplier and seller by using a preset second value-taking rule according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information;
and sequencing suppliers according to the recommended value, and determining a preset number of suppliers as the suppliers to be pushed according to the sequencing result.
Optionally, the information pushing apparatus further includes:
and the fourth determination module is configured to determine a corresponding second value-taking rule respectively for each item of dynamic supply information and the historical reference information, wherein the second value-taking rule is determined according to the matching degree of each item of dynamic supply information and the purchase information or the historical data of the supplier and the seller.
Optionally, the information pushing apparatus further includes:
and the storage module is configured to dynamically update the historical data and the historical transaction information of the supplier and the seller according to the user behavior and store the updated historical data and the updated historical transaction information to the local.
Optionally, the information pushing apparatus further includes:
and the third pushing module is configured to push corresponding purchasing information to the to-be-pushed supplier and seller.
According to a third aspect of embodiments herein, there is provided a computing device comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions, and the processor is configured to execute the computer-executable instructions to implement the method of:
acquiring purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information;
acquiring supplier information of related suppliers and sellers and historical transaction information of the suppliers and the sellers according to the purchase object information;
determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
determining a recommended transaction price of the supplier and seller to be pushed for a purchasing object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchasing object belong to the same class;
and pushing the supplier to be pushed and the recommended transaction price to the purchasing party.
According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of any of the information push methods.
The information pushing method provided by the specification acquires purchasing information issued by a purchasing party; acquiring supplier information of related suppliers and seller information and historical transaction information of the suppliers and the sellers according to the purchasing object information included in the purchasing information; determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information; determining a recommended transaction price of the supplier to be pushed for the purchasing object according to target historical transaction information related to the first class of objects in the historical transaction information; and pushing the supplier to be pushed and the recommended transaction price to the purchasing party. According to the information pushing method, the historical data information is used for recommending high-quality suppliers and high-quality sellers and expected transaction prices, so that purchasing behaviors are efficient, economic and transparent, and the transaction efficiency of the purchasing behaviors is improved.
Drawings
Fig. 1 is a flowchart illustrating an information pushing method provided in an embodiment of the present specification;
fig. 2 illustrates an operation flow between a purchasing party and a supplier and a seller and a platform in an information push method provided by an embodiment of the present specification;
fig. 3 shows an information extraction flowchart in an information pushing method provided by an embodiment of the present specification;
FIG. 4 is a flowchart illustrating a recommendation process of an intelligent algorithm in an information pushing method provided in an embodiment of the present specification;
fig. 5 is a schematic diagram illustrating a buyer presentation interface provided in an information push method provided in an embodiment of the present specification;
fig. 6 is a schematic structural diagram illustrating an information pushing apparatus according to an embodiment of the present disclosure;
fig. 7 shows a block diagram of a computing device according to an embodiment of the present specification.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, as those skilled in the art will be able to make and use the present disclosure without departing from the spirit and scope of the present disclosure.
The terminology used in the description of the one or more embodiments is for the purpose of describing the particular embodiments only and is not intended to be limiting of the description of the one or more embodiments. As used in one or more embodiments of the present specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It will be understood that, although the terms first, second, etc. may be used herein in one or more embodiments to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first can also be referred to as a second and, similarly, a second can also be referred to as a first without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In the actual business of bidding and bidding procurement, the insufficient information exchange between the procurement party and the supplier and seller is the most critical reason for low transaction efficiency, and finally, the procurement party cannot complete bidding examination according to the capability of the supplier and seller, but actually, a large amount of data available for the supplier and seller to examine exists in the platform. Therefore, based on big data thinking, the bid commodity is identified in the bid bidding and bid procurement process, the platform historical data is utilized, the expected transaction price of the high-quality supplier and seller and the bid commodity is recommended and displayed according to an intelligent algorithm recommendation mode, and the high efficiency and economy of bid behavior are guaranteed.
In the present specification, an information pushing method is provided, and the present specification relates to an information pushing apparatus, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.
Fig. 1 shows a flowchart of an information pushing method provided in an embodiment of the present specification, which specifically includes steps 102 to 110.
Step 102: the method comprises the steps of obtaining purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information.
The purchasing party publishes purchasing information on a purchasing platform, wherein the purchasing information can include but is not limited to purchasing units, purchasing commodities, expected commodity unit price, purchasing quantity, locations of the purchasing units, purchasing time limit, selection preference, limiting conditions and the like, purchasing objects are purchasing commodities, and the purchasing information includes information about the purchasing commodities.
Step 104: and acquiring the supplier information of the related supplier and seller and the historical transaction information of the supplier and seller according to the purchase object information.
The associated supplier is the supplier for the at least one purchased item from the purchasing party in the list of items sold. The supplier information is information related to suppliers, including dynamic supply information of suppliers and historical reference information of a preset type extracted from historical data of suppliers. The historical transaction information includes information such as the transaction history of the supplier and seller, the transaction price, etc.
In particular embodiments, the dynamic supply information may include, but is not limited to, supply and sale goods of the supplier, price of the supply and sale goods, inventory of the goods, location of the supplier and the seller, distance between the supplier and the buyer, service capability (whether to deliver goods to home), and provision of services and corresponding service terms, such as provision of after-sale service and corresponding free service terms. The historical reference information includes, but is not limited to, evaluation information of the supplier and the seller, total historical bid-winning times, historical bid-winning times of the buyer for which the purchase message is issued at this time, average duration of the supplier and the seller in the historical transaction, and the like.
Step 106: and determining the supplier to be pushed according to the weights of the purchase information, the supplier information and the seller information.
In an embodiment of the present specification, step 106 may be implemented by:
obtaining the matching degree of the dynamic supply information and the purchasing information;
and determining suppliers to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information.
Specifically, determining the supplier to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information, and the weight of the historical reference information may be implemented as follows:
determining a recommended value corresponding to each supplier and seller by using a preset value-taking rule according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information;
and sequencing suppliers according to the recommended value, and determining a preset number of suppliers as the suppliers to be pushed according to the sequencing result.
In an embodiment of the present specification, a corresponding value-taking rule is determined for each item of dynamic supply information and historical reference information, respectively, where the value-taking rule is determined according to a matching degree between each item of dynamic supply information and the purchase information or historical data of suppliers and distributors.
The following describes determining the score of the dynamic provisioning information according to the value rule corresponding to each item of dynamic provisioning information and the matching degree of the dynamic provisioning information and the purchasing information. Taking a commodity list in the dynamic supply information as an example, the purchase information comprises all planned purchased commodities, the dynamic supply information comprises supply and sale commodities, if the supply and sale commodity list of the supply and sale merchant comprises all planned purchased commodities, the score of the dynamic supply information is 100, and if the supply and sale commodity list of the supply and sale merchant comprises part or none of the planned purchased commodities, the score is 0. Taking the unit price of the commodity in the dynamic supply information as an example, the purchase information includes information of unit price of the expected commodity, if all commodities of the suppliers and the sellers do not exceed the unit price of the expected commodity, the score of the dynamic supply information is 100 points, if 80% of the commodities of the suppliers and the sellers do not exceed the unit price of the expected commodity, the score of the dynamic supply information is 80 points, if 50% of the commodities of the suppliers and the sellers do not exceed the unit price of the expected commodity, the score of the dynamic supply information is 60 points, and if 50% of the commodities exceed the unit price of the expected commodity, the score of the dynamic supply information is 0 points.
And similarly, 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. Taking the total historical bid-winning times in the historical reference information as an example, if the historical bid-winning times of the suppliers are more than or equal to 10, the score of the historical reference information is 100, if the historical bid-winning times of the suppliers are more than or equal to 5 and less than or equal to 10, the score of the historical reference information is 80, and if the historical bid-winning times are less than 5, the score of the historical reference information is 0. The above value-taking rules and score calculation methods are only examples, and do not limit the present specification, and other value-taking rules and score calculation methods may be adopted.
And then, performing weighted operation on the determined score of each item of information according to the corresponding weight of each item of information to obtain a recommended value corresponding to the supplier and the seller, namely, the recommended value is the sum of the score of the single item of information and the weight of the single item of information. The recommendation ranking is sorted from high to low by taking the recommendation value as a dimension, and the top 10 of the recommendation ranking or the top 5 of the recommendation ranking can be recommended.
Step 108: and determining a recommended transaction price of the supplier and seller to be pushed for the purchasing object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchasing object belong to the same class.
Each object is provided with a respective classification label, for example, the classification label of the object can be a desk, a chair, a display card, a telephone, a display and the like. And determining the recommended transaction price of the pushed supplier and seller for the purchase object according to the historical transaction information of the objects in the same category with the same classification label. In this specification, the recommended transaction price may be a price interval, and is not necessarily a specific value.
In an embodiment of the present specification, the target historical transaction information is the historical transaction information of the supplier to be pushed, and step 108 may be implemented by:
and acquiring the historical transaction price of the to-be-pushed supplier for the first class of objects in the historical transaction information, and determining the recommended transaction price of the to-be-pushed supplier for the purchasing object by adopting a preset value-taking rule according to the historical transaction price.
In this embodiment, the historical transaction information is the historical transaction information of the suppliers to be pushed, and the recommended transaction price of the suppliers to the buyers for the purchase object is determined by averaging or weighting the historical transaction prices according to the historical transaction prices of the objects of each supplier to be pushed, which belong to the same category as the purchase object, or by averaging or weighting after removing the highest value and the lowest value of the historical transaction prices of the purchase object.
Step 110: and pushing the supplier to be pushed and the recommended transaction price to the purchasing party.
In an embodiment of the present specification, the suppliers and sellers to be pushed may be pushed to the buyer in a one-to-one correspondence with the recommended transaction price.
According to the information pushing method, the historical data information is used for recommending high-quality suppliers and high-quality sellers and expected transaction prices, so that purchasing behaviors are efficient, economic and transparent, and the transaction efficiency of the purchasing behaviors is improved.
In an embodiment of the present specification, the information pushing method further includes:
receiving deletion and/or sorting of the dynamic supply information and the historical reference information by the purchasing party;
and adjusting the weight of the dynamic supply information and the weight of the historical reference information according to the deletion and/or the sorting.
The purchasing party can delete the dynamic supply information and the historical reference information according to the requirement, and the weight of each item of information is adjusted after deletion. The dynamic supply information and the historical reference information can be ranked according to the attention degree of the dynamic supply information and the historical reference information, and the weight of each item of information is adjusted according to the ranking, so that personalized recommendation according to the requirements of purchasing parties is realized.
In an embodiment of the present specification, the information pushing method further includes:
and correcting the category to which the purchase object belongs.
By utilizing an internet mode, historical user data of a platform is taken as a main part, and a classification label of a purchase object is corrected by platform operation as an auxiliary part, so that the reliability of data is quantized, that is, the data is continuously corrected while the data volume is large enough, and a benign data ecological cycle is formed.
In an embodiment of the present specification, the information pushing method further includes:
determining the historical average delivery cycle of the supplier to be pushed according to the historical transaction information;
and pushing the historical average delivery cycle to a purchasing party.
In practical application, the average delivery cycle of the supplier can be obtained as the historical average delivery cycle by obtaining the time from the behavior of purchasing determined by a buyer in a manner of making a money or the like to the delivery completion of the supplier in all transaction lists or in the transaction list of the recent predetermined time period according to the transaction history in the historical transaction information of the supplier. Therefore, the buyer can conveniently select the supplier and the seller under the condition of considering the self purchasing term.
In an embodiment of the present specification, the information pushing method further includes: and dynamically updating historical data and historical transaction information of the supplier and the seller according to the user behavior, and storing the updated historical data and historical transaction information to the local.
And storing the historical data and the historical transaction information to the local to finish big data precipitation, and finishing accurate recommendation by using the historical data. This approach greatly increases the profitability of the local data, turning negative assets into positive assets. In addition, the operation capacity of the platform is decoupled from the user amount, and the operation cost of an official platform is reduced.
In an embodiment of the present specification, the information pushing method further includes: and pushing corresponding purchasing information to the to-be-pushed supplier and seller. And after the list of the suppliers to be pushed is obtained, pushing corresponding purchasing information to the suppliers to be pushed. Therefore, high-quality suppliers and sellers can obtain purchasing information in time, information interaction between a purchasing party and the suppliers and sellers is realized, and the success rate and the transaction efficiency of purchasing behaviors are improved.
Fig. 2 illustrates an operation flow between a purchasing party and a supplier and a platform in an information pushing method provided by an embodiment of the present specification. As shown in fig. 2, a buyer initiates bidding, a platform checks the bidding of the buyer, then the platform distributes bidding information, the platform acquires relevant information of the buyer, a supplier and a seller and a purchased commodity and sends the information to an intelligent algorithm module according to categories, the platform recommends the supplier and the transaction price in the process of the supplier responding to the quotation, then the bidding result is reviewed, the result is disclosed and the purchase is executed.
In an embodiment, the information pushing apparatus of this specification is applied to a government purchasing platform, see fig. 3, and fig. 3 shows an information extraction flow chart in the information pushing method provided in an embodiment of this specification, in a government unit side 301, a government registers an account number, supplements user information, and then issues purchasing information, so that the platform acquires corresponding purchasing information, then the platform extracts information, specifically extracts keywords from the purchasing information, where the extracted government side keyword information includes purchasing units, purchasing commodities, unit prices of expected commodities, purchasing quantities, locations of purchasing units, purchasing time limits, selection preferences, limiting conditions, and the like, and then the government unit side screens suppliers, successfully tenders and trades, completes commodity reception, and then evaluates the experience of suppliers and tenders, and issues new bidding information. At the supplier and seller side 302, the supplier and seller registers and logs in, the user information is supplemented, the commodity is sold on shelves, the price and the inventory are supplemented, the commodity is successfully bid, traded and delivered, and the commodity delivery is completed, so that the platform acquires the supplier and seller information, then the platform extracts the supplier and seller information, specifically, keywords are extracted from the supplier and seller information, and the extracted supplier and seller keyword information comprises the commodity to be sold, the price of the commodity to be sold, the commodity inventory, the location of the supplier and seller, the distance between the supplier and the buyer, the service provision and the corresponding service period (after-sale maintenance service and corresponding free maintenance period), the service capacity (whether the commodity is delivered to the home), the latest period of the purchase and other purchase requirements, and in addition, the historical transaction information (transaction history, transaction price and the like) of the supplier is acquired. On the platform side 303, the platform operator configures a classification tag for the goods for identifying the category of the goods.
Government units, suppliers and platform operators can continuously generate data in the process of using platform products, the platform can continuously extract and arrange user historical data to form different information types, and finally the different information types are collected and enter the intelligent algorithm module. For example, the extracted procurement information, supplier and seller information, historical transaction information, and commodity classification labels are input to the intelligent algorithm module.
The massive historical data of the platform does not exist as redundant information any more, but becomes information with profitability. In the process of data collection and arrangement, at least a plurality of channels such as supplier transaction information, purchasing unit information, a commodity inventory system, online commodity real-time prices and the like need to be opened, and the capability of communicating a plurality of backgrounds is also beneficial to forward development of the platform.
Fig. 4 shows an intelligent algorithm recommendation flow chart in the information push method provided in an embodiment of the present specification, referring to fig. 4, information extracted by a platform is input into an intelligent algorithm module, data identification and conversion are performed, matching degrees of various suppliers and sellers are calculated, a recommended supplier and seller list is determined according to weight scores, then commodity classification is compared, a recommended bargain price interval of purchased commodities is obtained according to historical bargain prices of commodities of the same category, then the platform performs information display, and a government unit side displays high-quality supplier information and the recommended bargain price interval. The information is collected, extracted and converted by a platform and then input to an intelligent algorithm module, and a recommended supplier and seller is obtained in a weight calculation mode; and after obtaining the supplier and seller list, obtaining the historical transaction price of the same type of purchased commodities of the suppliers and sellers, and obtaining the recommended transaction price interval of the current purchased commodity. The intelligent algorithm module performs weighting calculation by combining multiple kinds of information of the platform, and the effectiveness of the recommendation information is guaranteed. And the recommendation algorithm can be optimized and the precision can be improved by increasing the number of users, the operation data of the users, the number of commodities and the like. The continuously improved recommendation precision can also improve the viscosity of the user, attract the entrance of new users and finally achieve the aim of improving the market share; by utilizing the internet and the platform big data technology, the commodity price tends to be stable, and the sustainable development of the platform trading behavior is ensured. Meanwhile, the recommendation of high-quality merchants can promote the merchants to be good and bad, and the benign competition of the merchants is guided.
Fig. 5 is a schematic diagram illustrating a purchasing party display interface provided in the information pushing method according to an embodiment of the present disclosure, where in a process of responding to a quote by a supplier after the purchasing information of the purchasing party is published, a platform displays a recommended dealer to the purchasing party and displays a recommended transaction price. The purchasing party can send an invitation to the supplier and the seller according to the list of the recommended suppliers and the seller shown on the interface, and the supplier and the seller are invited to participate in bidding, or the platform can push corresponding purchasing information to the purchasing party, so that the economy and the efficiency of bidding behaviors are guaranteed. In addition, the information pushing method avoids the problem of cost sinking caused by information asymmetry. By utilizing the dealer recommendation and the price recommendation, the purchasing behavior is more fair and transparent, the use threshold of staffs of the purchasing party is also reduced, the flat price bidding and purchasing can be ensured by utilizing the recommendation information, and the actual benefit of the purchasing party is ensured. On one hand, the decision efficiency can be improved, and the bidding behavior with low price and high quality can be ensured only by selecting according to the recommendation; on the other hand, the related knowledge threshold of a decision maker can be reduced, the tenderer is not required to have the commercial knowledge of related products, and the cost increase caused by no specialization is avoided.
In an embodiment of the present specification, after determining a list of recommended suppliers, identifying a role of a platform user, if the list is a government unit, pushing a matching list of suppliers to the platform user, if the list is a supplier, determining whether the list is in the recommended list, if the list is yes, pushing purchasing plan information to the platform user, if the list is not in the recommended list, not pushing a corresponding purchasing plan to the platform user, and if the platform user is satisfied with a recommended scheme, contacting the other party through a communication interface provided by the platform to perform purchasing negotiation.
Corresponding to the above method embodiment, the present specification further provides an information pushing apparatus embodiment, and fig. 6 shows a schematic structural diagram of an information pushing apparatus provided in an embodiment of the present specification. As shown in fig. 6, the apparatus includes:
a first obtaining module 602 configured to obtain purchase information issued by a purchasing party, wherein the purchase information includes purchase object information;
a second obtaining module 604, configured to obtain supplier information of a related supplier and seller and historical transaction information of the supplier and seller according to the purchase object information;
a first determining module 606 configured to determine suppliers and distributors to be pushed according to weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
a second determining module 608 configured to determine a recommended transaction price for the purchasing object by the to-be-pushed supplier according to target historical transaction information related to a first category of objects in the historical transaction information, wherein the first category of objects and the purchasing object belong to the same category;
a first pushing module 610 configured to push the supplier to be pushed and the recommended transaction price to the buyer.
The information pushing device according to the description recommends high-quality suppliers and prospective transaction prices by using the historical data information, so that the purchasing behavior is efficient, economic and transparent, and the transaction efficiency of the purchasing behavior is improved.
Optionally, the target historical transaction information is historical transaction information of the supplier to be pushed, and the second determining module is further configured to:
and acquiring the historical transaction price of the supplier to be pushed for the first class of objects in the historical transaction information, and determining the recommended transaction price of the supplier to be pushed for the purchasing object by adopting a preset first value-taking rule according to the historical transaction price.
Optionally, the supplier information includes dynamic supply information of suppliers and historical reference information of a preset type extracted from historical data of suppliers, and the first determination module is further configured to:
obtaining the matching degree of the dynamic supply information and the purchasing information;
and determining suppliers to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information.
Optionally, the information pushing apparatus further includes:
a receiving module configured to receive a pruning and/or ranking of the dynamic provisioning information and the historical reference information by a purchasing party;
an adjusting module configured to adjust the weight of the dynamic provisioning information and the weight of the historical reference information according to the pruning and/or ranking.
Optionally, the information pushing apparatus further includes:
and the correcting module is configured to correct the category to which the purchasing object belongs.
Optionally, the information pushing apparatus further includes:
a third determination module configured to determine a historical average delivery period of the to-be-pushed supplier based on the historical transaction information;
a second push module configured to push the historical average delivery cycle to a purchaser.
Optionally, the first determining module is further configured to:
determining a recommended value corresponding to each supplier and seller by using a preset second value-taking rule according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information;
and sequencing suppliers according to the recommended value, and determining a preset number of suppliers as the suppliers to be pushed according to the sequencing result.
Optionally, the information pushing apparatus further includes:
and the fourth determination module is configured to determine a corresponding second value-taking rule respectively for each item of dynamic supply information and the historical reference information, wherein the second value-taking rule is determined according to the matching degree of each item of dynamic supply information and the purchase information or the historical data of the supplier and the seller.
Optionally, the information pushing apparatus further includes:
and the storage module is configured to dynamically update the historical data and the historical transaction information of the supplier and the seller according to the user behavior and store the updated historical data and the updated historical transaction information to the local.
Optionally, the information pushing apparatus further includes:
and the third pushing module is configured to push corresponding purchasing information to the to-be-pushed supplier and seller.
In an embodiment, the system deployment mode of the information pushing apparatus of the present specification adopts the following manner: the database deployment is placed on a cloud server, rather than on a centralized server, such as a base information base deployed by province. Therefore, the information of the databases in all the areas is communicated, and the information is not limited by a certain financial division and a certain province, but information sharing can be realized by one network nationwide.
The above is a schematic scheme of an information pushing apparatus of this embodiment. It should be noted that the technical solution of the information pushing apparatus and the technical solution of the information pushing method belong to the same concept, and details that are not described in detail in the technical solution of the information pushing apparatus can be referred to the description of the technical solution of the information pushing method.
Fig. 7 illustrates a block diagram of a computing device 700 provided according to an embodiment of the present description. The components of the computing device 700 include, but are not limited to, memory 710 and a processor 720. Processor 720 is coupled to memory 710 via bus 730, and database 750 is used to store data.
Computing device 700 also includes access device 740, access device 740 enabling computing device 700 to communicate via one or more networks 760. Examples of such networks include the Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the internet. Access device 740 may include one or more of any type of network interface, e.g., a Network Interface Card (NIC), wired or wireless, such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a bluetooth interface, a Near Field Communication (NFC) interface, and so forth.
In one embodiment of the present description, the above-described components of computing device 700, as well as other components not shown in FIG. 7, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device architecture shown in FIG. 7 is for purposes of example only and is not limiting as to the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 700 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smartphone), wearable computing device (e.g., smartwatch, smartglasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or PC. Computing device 700 may also be a mobile or stationary server.
Wherein processor 720 is configured to execute the following computer-executable instructions:
acquiring purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information;
acquiring supplier information of related suppliers and sellers and historical transaction information of the suppliers and the sellers according to the purchase object information;
determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
determining a recommended transaction price of the supplier and seller to be pushed for a purchasing object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchasing object belong to the same class;
and pushing the supplier to be pushed and the recommended transaction price to the purchasing party.
The above is an illustrative scheme of a computing device of the present embodiment. It should be noted that the technical solution of the computing device and the technical solution of the information pushing method belong to the same concept, and details that are not described in detail in the technical solution of the computing device can be referred to the description of the technical solution of the information pushing method.
An embodiment of the present specification also provides a computer readable storage medium storing computer instructions that, when executed by a processor, are operable to:
acquiring purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information;
acquiring supplier information of related suppliers and sellers and historical transaction information of the suppliers and the sellers according to the purchase object information;
determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
determining a recommended transaction price of the supplier and seller to be pushed for a purchasing object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchasing object belong to the same class;
and pushing the supplier to be pushed and the recommended transaction price to the purchasing party.
The above is an illustrative scheme of a computer-readable storage medium of the present embodiment. It should be noted that the technical solution of the storage medium belongs to the same concept as the technical solution of the information push method, and details that are not described in detail in the technical solution of the storage medium can be referred to the description of the technical solution of the information push method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The computer instructions comprise computer program code which may be in the form of source code, object code, an executable file or some intermediate form, or the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present disclosure is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present disclosure. Further, those skilled in the art should also appreciate that the embodiments described in this specification are preferred embodiments and that acts and modules referred to are not necessarily required for this description.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are intended only to aid in the description of the specification. Alternative embodiments are not exhaustive and do not limit the invention to the precise embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the specification and its practical application, to thereby enable others skilled in the art to best understand the specification and its practical application. The specification is limited only by the claims and their full scope and equivalents.
Claims (20)
1. An information pushing method, comprising:
acquiring purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information;
acquiring supplier information of related suppliers and sellers and historical transaction information of the suppliers and the sellers according to the purchase object information;
determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
determining a recommended transaction price of the supplier and seller to be pushed for a purchasing object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchasing object belong to the same class;
and pushing the supplier to be pushed and the recommended transaction price to the purchasing party.
2. The information pushing method according to claim 1, wherein the target historical transaction information is historical transaction information of the to-be-pushed seller, and determining the recommended transaction price of the to-be-pushed seller for a purchase object according to target historical transaction information related to a first class of objects in the historical transaction information comprises:
and acquiring the historical transaction price of the supplier to be pushed for the first class of objects in the historical transaction information, and determining the recommended transaction price of the supplier to be pushed for the purchasing object by adopting a preset first value-taking rule according to the historical transaction price.
3. The information push method according to claim 1, wherein the supplier information includes dynamic supply information of suppliers and historical reference information of preset types extracted from historical data of suppliers, and determining suppliers to be pushed according to weights of the purchase information, the supplier information and the supplier information includes:
obtaining the matching degree of the dynamic supply information and the purchasing information;
and determining suppliers to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information.
4. The information pushing method according to claim 3, further comprising:
receiving a deletion and/or a sorting of the dynamic provisioning information and the historical reference information by a purchasing party;
adjusting the weight of the dynamic provisioning information and the weight of the historical reference information according to the pruning and/or ranking.
5. The information pushing method according to claim 1 or 2, further comprising:
and correcting the category to which the purchase object belongs.
6. The information pushing method according to claim 3, further comprising:
determining the historical average delivery cycle of the supplier to be pushed according to the historical transaction information;
and pushing the historical average delivery cycle to a purchasing party.
7. The information pushing method according to claim 3, wherein determining the supplier to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information, and the weight of the historical reference information comprises:
determining a recommended value corresponding to each supplier and seller by using a preset second value-taking rule according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information;
and sequencing suppliers according to the recommended value, and determining a preset number of suppliers as the suppliers to be pushed according to the sequencing result.
8. The information pushing method according to claim 7, further comprising:
and respectively determining corresponding second value-taking rules aiming at each item of dynamic supply information and historical reference information, wherein the second value-taking rules are determined according to the matching degree of each item of dynamic supply information and the purchase information or the historical data of suppliers and sellers.
9. The information pushing method according to claim 1 or 2, further comprising: and dynamically updating historical data and historical transaction information of the supplier and the seller according to the user behavior, and storing the updated historical data and historical transaction information to the local.
10. The information pushing method according to claim 1 or 2, further comprising: and pushing corresponding purchasing information to the to-be-pushed supplier and seller.
11. An information pushing apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is configured to acquire purchasing information issued by a purchasing party, and the purchasing information comprises purchasing object information;
the second acquisition module is configured to acquire related supplier information of suppliers and seller and historical transaction information of the suppliers and sellers according to the purchase object information;
the first determination module is configured to determine suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
a second determination module configured to determine a recommended transaction price of the supplier and seller to be pushed for a purchase object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchase object belong to the same class;
the first pushing module is configured to push the supplier to be pushed and the recommended transaction price to the buyer.
12. The information pushing device according to claim 11, wherein the target historical transaction information is historical transaction information of the supplier to be pushed, and the second determining module is further configured to:
and acquiring the historical transaction price of the supplier to be pushed for the first class of objects in the historical transaction information, and determining the recommended transaction price of the supplier to be pushed for the purchasing object by adopting a preset first value-taking rule according to the historical transaction price.
13. The information pushing device according to claim 11, wherein the supplier information includes dynamic supply information of suppliers and historical reference information of a preset type extracted from historical data of suppliers, and the first determining module is further configured to:
obtaining the matching degree of the dynamic supply information and the purchasing information;
and determining suppliers to be pushed according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information.
14. The information push device according to claim 13, further comprising:
a receiving module configured to receive a pruning and/or ranking of the dynamic provisioning information and the historical reference information by a purchasing party;
an adjusting module configured to adjust the weight of the dynamic provisioning information and the weight of the historical reference information according to the pruning and/or ranking.
15. The information pushing device according to claim 11 or 12, further comprising:
and the correcting module is configured to correct the category to which the purchasing object belongs.
16. The information push device according to claim 13, further comprising:
a third determination module configured to determine a historical average delivery period of the to-be-pushed supplier based on the historical transaction information;
a second push module configured to push the historical average delivery cycle to a purchaser.
17. The information push device according to claim 13, wherein the first determination module is further configured to:
determining a recommended value corresponding to each supplier and seller by using a preset second value-taking rule according to the matching degree, the weight of the dynamic supply information, the historical reference information and the weight of the historical reference information;
and sequencing suppliers according to the recommended value, and determining a preset number of suppliers as the suppliers to be pushed according to the sequencing result.
18. The information push device of claim 17, further comprising:
and the fourth determination module is configured to determine a corresponding second value-taking rule respectively for each item of dynamic supply information and the historical reference information, wherein the second value-taking rule is determined according to the matching degree of each item of dynamic supply information and the purchase information or the historical data of the supplier and the seller.
19. A computing device, comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions, and the processor is configured to execute the computer-executable instructions to implement the method of:
acquiring purchasing information issued by a purchasing party, wherein the purchasing information comprises purchasing object information;
acquiring supplier information of related suppliers and sellers and historical transaction information of the suppliers and the sellers according to the purchase object information;
determining suppliers and distributors to be pushed according to the weights of the purchase information, the supplier and distributor information and the supplier and distributor information;
determining a recommended transaction price of the supplier and seller to be pushed for a purchasing object according to target historical transaction information related to a first class of objects in the historical transaction information, wherein the first class of objects and the purchasing object belong to the same class;
and pushing the supplier to be pushed and the recommended transaction price to the purchasing party.
20. A computer-readable storage medium storing computer instructions, which when executed by a processor implement the steps of the information pushing method according to any one of claims 1 to 10.
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