CN112633907A - Article management method and device based on multi-objective optimization - Google Patents
Article management method and device based on multi-objective optimization Download PDFInfo
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Abstract
The invention discloses an article management method and device based on multi-objective optimization, and relates to the technical field of computers. One embodiment of the method comprises: receiving advertisement information, and classifying articles in the advertisement information into an advertisement article queue or a non-advertisement article queue according to article attributes; sorting the articles in the advertisement article queue according to the total amount of the article transaction, and further sorting the sorted articles based on the advertisement display income by using a preset display advertisement window; intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue; and sequencing the articles in the non-advertising article queue based on the total amount of the article transaction, and inserting the articles in the sequenced non-advertising article queue into the advertising article queue. Therefore, the implementation mode of the invention can realize the maximization of the advertising income and the GMV and realize the sequencing of the advertising articles and the non-advertising articles.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an article management method and device based on multi-objective optimization.
Background
As an e-commerce platform, goods GMV (total volume of business) is a core index for measuring platform competitiveness (market share), and advertisement revenue is the most important profit mode of the e-commerce platform, and the two targets are the most important pursued targets of the e-commerce platform.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
in the existing e-commerce platform, the advertisement articles are used for maximizing advertisement income, and the non-advertisement articles are used for maximizing GMV (Gaussian mixture model), so that how to maximize the advertisement income and the GMV is considered, and the problem that the sequencing of the advertisement articles and the non-advertisement articles is realized is urgently needed to be solved.
Disclosure of Invention
In view of this, embodiments of the present invention provide an article management method and apparatus based on multi-objective optimization, which can maximize advertising revenue and GMV, and implement the ordering of advertising articles and non-advertising articles.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided an article management method based on multi-objective optimization, including receiving advertisement information, classifying articles in the advertisement information into an advertisement article queue or a non-advertisement article queue according to article attributes; sorting the articles in the advertisement article queue according to the total amount of the article transaction, and further sorting the sorted articles based on the advertisement display income by using a preset display advertisement window; intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue; and sequencing the articles in the non-advertising article queue based on the total amount of the article transaction, and inserting the articles in the sequenced non-advertising article queue into the advertising article queue.
Optionally, sorting the sorted articles based on the advertisement display revenue by using a preset display advertisement window, including:
determining the articles in the advertisement article queue displayed in the current display advertisement window; the advertisement display window can display a preset number of articles;
sorting the currently displayed articles from large to small according to the advertisement display income; wherein, the advertisement display income is equal to the product of the item click-through rate estimated value and the advertiser bid;
and sliding the display advertisement window to display the articles in the next advertisement article queue, and repeating the steps until all the articles in the advertisement article queue are sorted based on the advertisement display income.
Optionally, inserting the items in the sorted non-advertising item queue into an advertising item queue, including:
respectively obtaining m articles and n articles in an advertisement article queue and a non-advertisement article queue;
respectively inserting n articles in the non-advertising article queue into the advertising article queue according to a preset position; wherein the preset position is the sum of m and n multiplied by the inserted position weight and multiplied by the number of items in the n non-advertising item queues.
In addition, according to an aspect of the embodiments of the present invention, there is provided an article management apparatus based on multi-objective optimization, including a receiving module, configured to receive advertisement information, and classify an article in the advertisement information into an advertisement article queue or a non-advertisement article queue according to an article attribute;
the processing module is used for sequencing the articles in the advertisement article queue according to the article transaction total amount, and further sequencing the sequenced articles based on the advertisement display income by utilizing a preset display advertisement window; intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue; ordering the items in the non-advertising item queue based on the item turnover;
and the integration module is used for inserting the items in the sequenced non-advertising item queue into the advertising item queue.
Optionally, the processing module sorts the sorted articles based on advertisement display revenue by using a preset display advertisement window, and includes:
determining the articles in the advertisement article queue displayed in the current display advertisement window; the advertisement display window can display a preset number of articles;
sorting the currently displayed articles from large to small according to the advertisement display income; wherein, the advertisement display income is equal to the product of the item click-through rate estimated value and the advertiser bid;
and sliding the display advertisement window to display the articles in the next advertisement article queue, and repeating the steps until all the articles in the advertisement article queue are sorted based on the advertisement display income.
Optionally, the integrating module inserts the items in the sorted non-advertising item queue into an advertising item queue, including:
respectively obtaining m articles and n articles in an advertisement article queue and a non-advertisement article queue;
respectively inserting n articles in the non-advertising article queue into the advertising article queue according to a preset position; wherein the preset position is the sum of m and n multiplied by the inserted position weight and multiplied by the number of items in the n non-advertising item queues.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any of the multi-objective optimization-based item management embodiments described above.
According to another aspect of the embodiments of the present invention, there is also provided a computer readable medium, on which a computer program is stored, the program, when executed by a processor, implementing the method according to any one of the embodiments of article management based on multi-objective optimization.
One embodiment of the above invention has the following advantages or benefits: the method comprises the steps of receiving advertisement information, classifying articles in the advertisement information into an advertisement article queue or a non-advertisement article queue according to article attributes; sorting the articles in the advertisement article queue according to the total amount of the article transaction, and further sorting the sorted articles based on the advertisement display income by using a preset display advertisement window; intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue; and sequencing the articles in the non-advertising article queue based on the total amount of the article transaction, and inserting the articles in the sequenced non-advertising article queue into the advertising article queue. Therefore, the article management method and the article management device can realize advertisement display income and GMV target optimization.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of a main flow of an item management method based on multi-objective optimization according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a main flow of an item management method based on multi-objective optimization according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a main flow of sorting sorted items based on advertisement display revenue using a preset display advertisement window according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a main flow of inserting items in a sorted non-advertising item queue into an advertising item queue according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the major modules of an item management device based on multi-objective optimization, according to an embodiment of the present invention;
FIG. 6 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 7 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic view of a main flow of a multi-objective optimization-based item management method according to a first embodiment of the present invention, which may include:
step S101, receiving advertisement information, and classifying the articles in the advertisement information into an advertisement article queue or a non-advertisement article queue according to the article attributes.
And S102, sequencing the articles in the advertisement article queue according to the total amount of the article transaction, and sequencing the sequenced articles based on the advertisement display income by utilizing a preset display advertisement window.
Preferably, the advertisement display window can display a preset number of articles.
As a further embodiment of step S102, when the sorted items are sorted based on the advertisement display revenue by using the preset display advertisement window, the items in the advertisement item queue displayed in the current display advertisement window may be determined. And sorting the currently displayed articles from large to small according to the advertisement display income. And sliding the display advertisement window to display the articles in the next advertisement article queue, and repeating the steps until all the articles in the advertisement article queue are sorted based on the advertisement display income.
It is worth mentioning that the advertisement display window can display a preset number of articles. And the advertisement display revenue is equal to the product of the item click-through rate estimate and the advertiser bid.
And step S103, intercepting the article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue.
And step S104, sequencing the articles in the non-advertising article queue based on the article transaction total amount, and inserting the articles in the sequenced non-advertising article queue into the advertising article queue.
Preferably, when the items in the sorted non-advertising item queue are inserted into the advertising item queue, m items and n items can be obtained in the advertising item queue and the non-advertising item queue, respectively. And respectively inserting n articles in the non-advertising article queue into the advertising article queue according to the preset position.
Wherein the preset position is the sum of m and n multiplied by the inserted position weight and multiplied by the number of items in the n non-advertising item queues.
Fig. 2 is a schematic diagram of a main flow of a multi-objective optimization-based item management method according to a second embodiment of the present invention, which may include:
step S201, receiving advertisement information, and classifying the articles into an advertisement article queue or a non-advertisement article queue according to the deduction attribute.
In an embodiment, the fee deduction is classified as an advertising object queue, and the fee deduction is not classified as a non-advertising object queue.
Step S202, calculating the estimated value of the total volume of the goods in the advertisement goods queue and sequencing the goods from large to small.
In an embodiment, the pre-estimated value is obtained through a GMV model, wherein the GMV model pre-estimates the amount of the user to fill a transaction order after the user clicks the commodity. The GMV model can adopt a DCN model or a decision tree model and the like, and preferably adopts a DCN (full called Deep Cross Network) model.
Step S203, the sorted articles are sorted based on the advertisement display income by using a preset advertisement display window.
In an embodiment, a presentation advertisement window size window _ size is set, and the advertisement items are sorted by ecpm-ctr-bid within the presentation advertisement window. Where ctr (named Click Through Rate) is the pre-evaluation value of Click-Through Rate model to the product, and bid for advertiser. The advertising window is presented as a sliding window, sliding down one item at a time. The ecpm refers to the advertising revenue that can be obtained for every thousand impressions.
The click rate model is the probability that the user clicks the commodity after the commodity is displayed to the user. The click rate model can adopt a DCN (data communication Network) model or a decision tree model and the like, and preferably adopts a DCN (Deep Cross Network) model.
It can be seen that the optimization target of the advertisement article queue is the advertisement revenue, and meanwhile, the GMV is also considered, the GMV sequencing is firstly carried out on the advertisement article queue to optimize the GMV, a display advertisement window is arranged, the ecpm sequencing is carried out in the display advertisement window to optimize the advertisement revenue, the weight of the two optimization targets in the sequencing is determined by the size of the display advertisement window, and the optimization advertisement revenue is more obvious when the display advertisement window is larger. The advertising window is designed as a sliding window, each sliding of which screens out only one maximum ecpm value, while also screening out the lowest items that are listed in front but too low ecpm.
And step S204, intercepting the tail part of the advertisement article queue according to a preset threshold value alpha, and adding the tail part into the non-advertisement queue.
In an embodiment, only a few or a dozen recommended items need to be returned for one request of a user, while the advertisement item queue generally has hundreds of recommendations, the recommendation probability of the tail item as the final result is very low, but the tail item may contain an item with a larger GMV estimation value, and the item is added into the non-advertisement item queue, so that the candidate set of the non-advertisement item queue is increased, and the probability of recalling the item with more GMV is increased.
Preferably, the threshold α is between 0 and 1, truncated from the last of the queue of advertising items. Such as 0.6 or 0.7.
Step S205, based on the total amount of the goods transaction, the goods in the non-advertisement goods queue are sorted.
Step S206, inserting the items in the sorted non-advertising item queue into the advertising item queue.
Fig. 3 is a schematic diagram of a main process of sorting sorted articles based on advertisement display revenue by using a preset display advertisement window according to an embodiment of the present invention, which may include:
step S301, obtaining the articles in the advertisement article queue displayed in the current display advertisement window.
The advertisement display window can display a preset number of articles.
Step S302, calculating the advertisement display income of the articles displayed in the current display advertisement window.
Wherein the advertisement display revenue is equal to the product of the item click-through rate estimate and the advertiser bid.
Step S303, according to the advertisement display income, the currently displayed articles are sorted from big to small.
And step S304, sliding the advertisement window, judging whether the next article exists in the advertisement article queue, if so, returning to the step S301, otherwise, executing the step S305.
For example: the method comprises the steps that 15 articles are in the advertisement article queue in total, a display advertisement window is set to be capable of displaying 10 articles, after the first 10 articles are sorted according to ecpm, the highest order of the ecpm value is screened out to be the first one, then the sliding display advertisement window slides downwards for 1, the articles with the first order of 2-10 plus the 11 th article are sorted, and the article with the highest ecpm value is selected to be the second one of the sorts.
Step S305, finishing the sorting of all the articles in the advertisement article queue based on the advertisement display income.
FIG. 4 is a schematic diagram of a main process for inserting items in a sorted non-advertising item queue into an advertising item queue according to an embodiment of the present invention, which may include:
step S401, m articles in the advertisement article queue are obtained, and n articles in the non-advertisement article queue are obtained.
Step S402, calculating the positions of the n articles respectively inserted into the advertisement article queue.
In an embodiment, the location of the non-advertised item insertion is index ═ m + n × w ×, where ni is the number of items taken out of the n non-advertised items, and w is the weight of the inserted location. The larger w, the more backward the rank, the smaller n the fewer items inserted.
Preferably, if it is more obvious to optimize the GMV target, the value of w can be set smaller and n can be set larger, otherwise, the optimization is the advertisement revenue.
Step S403, inserting n items in the non-advertisement item queue into the advertisement item queue respectively.
In summary, the object management method based on multi-objective optimization of the present invention enables GMV optimization to be considered for the advertisement object queue, and achieves GMV optimization to a certain extent, and the advertisement object queue inserts the tail part into the non-advertisement object queue by truncation, so as to increase the candidate set of the non-advertisement object queue and optimize the GMV objective of the non-advertisement object queue. In addition, the advertisement article queue adopts a sliding mode to display the advertisement window, and the larger the display advertisement window is, the more the advertisement display revenue tends to be optimized, otherwise, the GMV is optimized. And the advertisement revenue can be optimized by adjusting the weight w of the mixed insertion position, wherein the larger the weight is, the more backward the position of the non-advertisement object is inserted, and otherwise, the GMV is optimized.
Fig. 5 is a multi-objective optimization-based article management device according to an embodiment of the present invention, and as shown in fig. 5, the multi-objective optimization-based article management device 500 includes a receiving module 501, a processing module 502 and an integrating module 503. The receiving module 501 is configured to receive advertisement information, and classify an item in the advertisement information into an advertisement item queue or a non-advertisement item queue according to an item attribute. The processing module 502 is configured to sort the articles in the advertisement article queue according to the total amount of the article transaction, and further sort the sorted articles based on the advertisement display income by using a preset display advertisement window; intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue; the items in the non-advertised item queue are sorted based on the item turnover. The consolidation module 503 is used to insert the items in the sorted non-advertising item queue into the advertising item queue.
Preferably, when the processing module 502 sorts the sorted articles based on the advertisement display income by using the preset advertisement display window, the specific implementation process may include:
determining the articles in the advertisement article queue displayed in the current display advertisement window; the advertisement display window can display a preset number of articles.
Sorting the currently displayed articles from large to small according to the advertisement display income; wherein the advertisement display revenue is equal to the product of the item click-through rate estimate and the advertiser bid.
And sliding the display advertisement window to display the articles in the next advertisement article queue, and repeating the steps until all the articles in the advertisement article queue are sorted based on the advertisement display income.
It is worth mentioning that the advertisement display window can display a preset number of articles.
As another embodiment, the integrating module 503 may obtain m items and n items in the advertisement item queue and the non-advertisement item queue respectively when inserting the items in the sorted non-advertisement item queue into the advertisement item queue. Respectively inserting n articles in the non-advertising article queue into the advertising article queue according to a preset position; wherein the preset position is the sum of m and n multiplied by the inserted position weight and multiplied by the number of items in the n non-advertising item queues.
It should be noted that the article management method based on multi-objective optimization and the article management device based on multi-objective optimization according to the present invention have corresponding relationship in specific implementation content, and therefore, the repeated content is not described again.
FIG. 6 illustrates an exemplary system architecture 600 of a multi-objective optimization-based item management method or a multi-objective optimization-based item management device to which embodiments of the present invention may be applied.
As shown in fig. 6, the system architecture 600 may include terminal devices 601, 602, 603, a network 604, and a server 605. The network 604 serves to provide a medium for communication links between the terminal devices 601, 602, 603 and the server 605. Network 604 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 601, 602, 603 to interact with the server 605 via the network 604 to receive or send messages or the like. The terminal devices 601, 602, 603 may have installed thereon various communication client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 601, 602, 603 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 605 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 601, 602, 603. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the multi-objective optimization-based item management method provided by the embodiment of the present invention is generally executed by the server 605, and accordingly, an item management apparatus based on multi-objective optimization is generally disposed in the server 605.
It should be understood that the number of terminal devices, networks, and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 1208 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data necessary for the operation of the system 700 are also stored. The CPU1201, the ROM1202, and the RAM703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 701.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a receiving module, a processing module, and an integration module. Wherein the names of the modules do not in some cases constitute a limitation of the module itself.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: receiving advertisement information, and classifying articles in the advertisement information into an advertisement article queue or a non-advertisement article queue according to article attributes; sorting the articles in the advertisement article queue according to the total amount of the article transaction, and further sorting the sorted articles based on the advertisement display income by using a preset display advertisement window; intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue; and sequencing the articles in the non-advertising article queue based on the total amount of the article transaction, and inserting the articles in the sequenced non-advertising article queue into the advertising article queue.
According to the technical scheme of the embodiment of the invention, the advertising income and GMV can be maximized, and the sequencing of the advertising articles and the non-advertising articles is realized.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An item management method based on multi-objective optimization is characterized by comprising the following steps:
receiving advertisement information, and classifying articles in the advertisement information into an advertisement article queue or a non-advertisement article queue according to article attributes;
sorting the articles in the advertisement article queue according to the total amount of the article transaction, and further sorting the sorted articles based on the advertisement display income by using a preset display advertisement window;
intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue;
and sequencing the articles in the non-advertising article queue based on the total amount of the article transaction, and inserting the articles in the sequenced non-advertising article queue into the advertising article queue.
2. The method of claim 1, wherein ranking the ranked items based on advertising display revenue using a preset display advertising window comprises:
determining the articles in the advertisement article queue displayed in the current display advertisement window; the advertisement display window can display a preset number of articles;
sorting the currently displayed articles from large to small according to the advertisement display income; wherein, the advertisement display income is equal to the product of the item click-through rate estimated value and the advertiser bid;
and sliding the display advertisement window to display the articles in the next advertisement article queue, and repeating the steps until all the articles in the advertisement article queue are sorted based on the advertisement display income.
3. The method of claim 1 or 2, wherein inserting the items in the ordered non-advertised item queue into the advertised item queue comprises:
respectively obtaining m articles and n articles in an advertisement article queue and a non-advertisement article queue;
respectively inserting n articles in the non-advertising article queue into the advertising article queue according to a preset position; wherein the preset position is the sum of m and n multiplied by the inserted position weight and multiplied by the number of items in the n non-advertising item queues.
4. An article management device based on multi-objective optimization, comprising:
the receiving module is used for receiving the advertising information and classifying the articles in the advertising information into an advertising article queue or a non-advertising article queue according to the article attributes;
the processing module is used for sequencing the articles in the advertisement article queue according to the article transaction total amount, and further sequencing the sequenced articles based on the advertisement display income by utilizing a preset display advertisement window; intercepting an article at the tail part of the advertisement article queue according to a preset threshold value so as to add the article into the non-advertisement article queue; ordering the items in the non-advertising item queue based on the item turnover;
and the integration module is used for inserting the items in the sequenced non-advertising item queue into the advertising item queue.
5. The apparatus of claim 4, wherein the processing module sorts the sorted items based on advertisement display revenue using a preset display advertisement window, comprising:
determining the articles in the advertisement article queue displayed in the current display advertisement window; the advertisement display window can display a preset number of articles;
sorting the currently displayed articles from large to small according to the advertisement display income; wherein, the advertisement display income is equal to the product of the item click-through rate estimated value and the advertiser bid;
and sliding the display advertisement window to display the articles in the next advertisement article queue, and repeating the steps until all the articles in the advertisement article queue are sorted based on the advertisement display income.
6. The apparatus of claim 4 or 5, wherein the integration module inserts the items in the sorted non-advertising item queue into an advertising item queue, comprising:
respectively obtaining m articles and n articles in an advertisement article queue and a non-advertisement article queue;
respectively inserting n articles in the non-advertising article queue into the advertising article queue according to a preset position; wherein the preset position is the sum of m and n multiplied by the inserted position weight and multiplied by the number of items in the n non-advertising item queues.
7. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-3.
8. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-3.
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