CN113538028A

CN113538028A - Advertisement putting method and device

Info

Publication number: CN113538028A
Application number: CN202010307680.7A
Authority: CN
Inventors: 鱼跃
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2020-04-17
Filing date: 2020-04-17
Publication date: 2021-10-22
Anticipated expiration: 2040-04-17
Also published as: CN113538028B

Abstract

The invention discloses a method and a device for advertisement putting, and relates to the technical field of computers. One embodiment of the method comprises: acquiring warehouse production information in response to the received delivery information of the advertisement with the warehouse; the release information at least comprises characteristic information; determining a warehouse task quantity pre-estimated value corresponding to the characteristic information according to warehouse production information and delivery information; determining a delivery strategy of the advertisement along with the warehouse according to the warehouse task quantity estimated value and the delivery information; and delivering the advertisement along with the warehouse according to a delivery strategy. This embodiment can be according to the characteristic information along with the storehouse advertisement and the production information in warehouse, utilizes the prediction model of configuration to predict and obtain the warehouse task volume corresponding with the advertisement characteristic, confirms the input strategy again in order to be used for the advertisement input to realize the accurate matching of advertisement and input warehouse, and then make the input of advertisement can match the user accurately, produce better advertisement effect, can also avoid the not enough or waste of material simultaneously.

Description

Advertisement putting method and device

Technical Field

The invention relates to the technical field of computers, in particular to a method and a device for advertisement putting.

Background

Under the commodity circulation advertisement putting scene, mainly include the advertisement of with the storehouse type and the advertisement of non-with the storehouse type, wherein with the storehouse advertisement mainly include: the delivery of the advertisement along with the package, the external package advertisement, the surface-mounted advertisement and the like is realized by depending on the logistics package of the order task in the warehouse, and the production condition of the order task in the warehouse needs to be considered when a delivery strategy of the advertisement along with the warehouse is formulated.

In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:

1) the method comprises the following steps that a worker estimates the future order task amount of a warehouse according to experience for serving as a reference along with the delivery of warehouse advertisements, and the condition of inaccurate estimation often occurs to cause the shortage or waste of delivered materials;

2) the early warning prompt is lacked for emergencies such as warehouse moving, personnel moving and the like, and the shortage or waste of the thrown materials is often caused by the emergencies;

3) in the prior art, only order task amount is usually considered, but characteristic factors of order tasks such as region characteristics, user characteristics and the like are lacked, so that the advertisement delivery is indiscriminately performed, and the users are difficult to be well matched, so that the advertisement effect is poor.

Disclosure of Invention

In view of this, embodiments of the present invention provide an advertisement delivery method and apparatus, which can estimate, according to feature information of an ad with a warehouse and production information of the warehouse, a warehouse task amount corresponding to features of the ad by using a configured estimation model, and further determine a delivery strategy for advertisement delivery according to the estimated warehouse task amount, so that the advertisement delivery can be more accurately matched to a user, and further a better advertisement effect can be generated, and meanwhile, material shortage or waste is avoided; early warning can be carried out by formulating an early warning rule, so that the putting strategy can be adjusted and updated in time, and the shortage or waste of materials is better avoided.

To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided an advertisement delivery method, including:

in response to the received putting information of the advertisement with the warehouse, acquiring warehouse production information; wherein the delivery information at least comprises: characteristic information; the warehouse production information at least comprises: task information;

determining a warehouse task quantity pre-estimated value corresponding to the characteristic information according to the warehouse production information and the delivery information;

determining a delivery strategy of the advertisement along with the warehouse according to the warehouse task quantity estimated value and the delivery information; and delivering the advertisement along with the warehouse according to the delivery strategy.

Optionally, the feature information includes: a combined feature formed by combining at least one candidate feature of the on-bin advertisements;

the candidate features include at least one of: user area, user gender, user credit, user consumption rating, user device type, item type.

Optionally, the task information includes: historical task information and task information to be produced; the delivery information further comprises: release time information;

determining a warehouse task quantity pre-estimated value corresponding to the characteristic information according to the warehouse production information and the delivery information, wherein the method comprises the following steps:

determining a historical task corresponding to the characteristic information in the historical task information as target historical task information; determining the task to be produced corresponding to the characteristic information in the task information to be produced as target task information to be produced of each warehouse;

taking the target historical task information and the target to-be-produced task information as input, and determining future task quantity estimation information by using an estimation model corresponding to the characteristic information; the future task amount prediction information comprises: the quantity value of the tasks corresponding to the characteristic information every day in a future preset time period;

determining the task quantity in the future task quantity estimation information during the release time as a first task quantity estimated value; and determining a warehouse task quantity estimated value according to the first task quantity estimated value.

Optionally, before determining the warehouse task quantity pre-estimated value corresponding to the feature information according to the task information and the delivery information, the method further includes:

confirming that the task information contains the features to be selected; pre-configuring a pre-estimation model corresponding to the characteristic information;

and if the task information does not contain the candidate features, constructing an association relation between the candidate features and the task information.

Optionally, the warehouse production information further comprises: resource information; the delivery information further comprises: advertisement type information of the on-bin advertisements;

determining a warehouse task quantity estimated value according to the first task quantity estimated value, wherein the method comprises the following steps:

and using the first task amount estimated value as a warehouse task amount estimated value, or,

determining the advertisement processing amount of the advertisement with the bin in the warehouse in the putting time according to the resource information and the advertisement type information in the putting time; taking the product of the advertisement processing capacity and a preset processing elasticity coefficient as a second task capacity estimated value; and taking the smaller value of the first task amount estimated value and the second task amount estimated value as the warehouse task amount estimated value.

Optionally, the warehouse production information further comprises: occupied information; the delivery information further comprises: putting a total quantity value;

determining the delivery strategy of the advertisement along with the warehouse according to the warehouse task quantity estimated value and the delivery information, wherein the method comprises the following steps:

determining available task quantity pre-estimated values in the warehouse task quantity pre-estimated values according to the occupied information;

sorting according to the high-to-low estimated values of the available task quantities of all the warehouses, and selecting the first n warehouses as target delivery warehouses; the sum of the available task quantity estimated values of all the target delivery warehouses is not less than the total delivery quantity value;

and determining the putting quantity of the advertisement with the bin to the target putting warehouse according to the available task quantity estimated value of the target putting warehouse.

Optionally, before sorting according to the estimated value of the available task amount of each warehouse from high to low, and selecting the top n warehouses as target delivery warehouses, the method further comprises:

confirming that the sum of the available task quantity estimated values of all the warehouses is not less than the total delivery quantity value; if not, the user can not select the specific application,

and updating the releasing information.

Optionally, the method for advertisement delivery provided according to the embodiment of the present invention further includes:

setting early warning rules for the warehouse production information and the delivery information;

and when the warehouse production information and the delivery information trigger early warning according to the early warning rule, updating the delivery strategy of the advertisement along with the warehouse according to the advertisement delivery method.

According to still another aspect of the embodiments of the present invention, there is provided an apparatus for advertisement delivery, including:

the acquisition module is used for responding to the received delivery information of the advertisements along with the warehouse and acquiring the production information of the warehouse; wherein the delivery information at least comprises: characteristic information; the warehouse production information at least comprises: task information;

the estimation module is used for determining a warehouse task amount estimated value corresponding to the characteristic information according to the warehouse production information and the delivery information;

the strategy determining module is used for determining the delivery strategy of the advertisement along with the warehouse according to the warehouse task quantity estimated value and the delivery information; and delivering the advertisement along with the warehouse according to the delivery strategy.

the estimation module determines a warehouse task quantity estimated value corresponding to the characteristic information according to the warehouse production information and the delivery information, and comprises the following steps:

Optionally, before the pre-estimation module determines the warehouse task quantity pre-estimation value corresponding to the feature information according to the task information and the delivery information, the pre-estimation module further includes:

the estimation module determines a warehouse task quantity estimated value according to the first task quantity estimated value, and comprises the following steps:

the strategy determining module determines the delivery strategy of the advertisement with the warehouse according to the warehouse task quantity estimated value and the delivery information, and comprises the following steps:

Optionally, before the determining the strategy module sorts the available task amount pre-estimated values of the warehouses from high to low and selects the top n warehouses as target delivery warehouses, the determining strategy module further includes:

and updating the releasing information.

Optionally, the apparatus for advertisement delivery provided according to the embodiment of the present invention further includes: an early warning module;

the early warning module is used for setting early warning rules for the warehouse production information and the delivery information;

when the early warning module determines that the warehouse production information and the delivery information trigger early warning according to the early warning rule, the decision strategy module updates the delivery strategy of the advertisement along with the warehouse according to the advertisement delivery method.

According to another aspect of the embodiments of the present invention, there is provided an electronic device for advertisement delivery, 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 for advertisement delivery provided by the present invention.

According to yet another aspect of the embodiments of the present invention, there is provided a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the method of advertisement delivery provided by the present invention.

One embodiment of the above invention has the following advantages or benefits: because the technical means that the warehouse task quantity corresponding to the characteristics of the advertisement is estimated by using the configured estimation model according to the characteristic information of the along-warehouse advertisement and the production information of the warehouse, and the delivery strategy is determined according to the estimated warehouse task quantity for advertisement delivery is adopted, the technical problems of insufficient delivered materials or waste caused by that workers determine the advertisement delivery strategy according to experience in the prior art and poor advertisement effect caused by not considering the characteristic factors of order tasks are solved, so that the delivery of the advertisement can be matched with users more accurately, better advertisement effect is generated, and the technical effect of insufficient materials or waste is avoided; and because an early warning rule is formulated for early warning, the technical problem that the fed materials are insufficient or wasted due to lack of early warning prompts in the prior art is solved, and the technical effects of timely adjusting and updating the feeding strategy and better avoiding the insufficiency or waste of the materials are achieved.

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 a method of advertisement delivery according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of the main steps for determining a first task volume estimate in a method for advertisement delivery according to an embodiment of the present invention;

fig. 3 is a schematic diagram illustrating main steps of configuring a predictive model corresponding to the feature information in a method for advertisement delivery according to an embodiment of the present invention;

fig. 4 is a schematic diagram of main steps of constructing an association relationship between newly-added candidate features and task information in a method for advertisement delivery according to an embodiment of the present invention;

fig. 5 is a schematic diagram of a visualization interface showing the forecasted conditions of the task amount of each warehouse (the forecasted values of the task amount of each warehouse and the forecasted values of the available task amount) in the method for advertisement delivery according to the embodiment of the present invention;

fig. 6 is a schematic diagram illustrating main steps of an early warning method in a method for advertisement delivery according to an embodiment of the present invention;

FIG. 7 is a block diagram of a method of advertisement delivery, according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of the main steps of a method for advertisement delivery according to an embodiment of the present invention;

FIG. 9 is a schematic diagram of the main modules of an apparatus for advertisement delivery, according to an embodiment of the present invention;

FIG. 10 is a schematic diagram of major functional modules of a management platform for advertisement delivery according to an embodiment of the present invention;

FIG. 11 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;

fig. 12 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present 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 diagram of a main flow of a method for advertisement delivery according to an embodiment of the present invention, as shown in fig. 1, including:

s101, responding to received advertisement putting information with a warehouse, and acquiring warehouse production information; wherein the delivery information at least comprises: characteristic information; the warehouse production information at least comprises: task information;

step S102, determining a warehouse task quantity pre-estimated value corresponding to the characteristic information according to the warehouse production information and the delivery information;

step S103, determining a delivery strategy of the advertisement along with the warehouse according to the warehouse task quantity estimated value and the delivery information; and delivering the advertisement along with the warehouse according to the delivery strategy.

The on-bin advertisements may be advertisements implemented depending on logistics packages produced in the warehouse based on order tasks, and the advertisement types of the on-bin advertisements may include: advertising along with the package of small gifts and pasters, sticker advertising attached to the package, advertising in brochures, light paper products and the like placed in the package, advertising in customized packaging boxes and the like;

the delivery information of the on-bin advertisements can be basic information about the on-bin advertisements provided by the people responsible for the advertisements, such as delivery time of the advertisements, delivery quantity of the advertisements, characteristic information of the advertisements and the like; for example, the ad placement time may be monday, tuesday, wednesday, or 20 consecutive days starting on a day in the future for 5 weeks; the putting amount can be preset advertisement putting quantity information, for example, eight hundred customized packaging boxes can be preset for putting and using, or three thousand gifts and three thousand brochures can be preset for putting and putting into the same package, or one sticker can be preset for putting and using on twenty thousand packages and the other sticker can be preset for putting and using on the other twenty thousand packages;

in some embodiments, the characteristic information of the on-bin advertisement may be: a combined feature formed by combining at least one candidate feature of the advertisement; the candidate features may be article features corresponding to the advertisement and targeted user features, and may include at least one of the following: user area, user gender, user credit, user consumption rating, user device type, item type, etc.;

the following illustrates the characteristic information of the advertisement:

the candidate features of a particular on-demand ad include: the user area is northeast, the gender of the user is female, the type of the article is a mother-infant article type, the type of the user equipment is an ios platform user, and the credit of the user is a medium credit or above, so that the feature information of the advertisement can be a combination formed by three features of the northeast area, the female and the mother-infant article type, can also be a combination formed by two features of the northeast area and the mother-infant article type, and can also be a combination formed by the northeast area, the mother-infant article type, the ios platform user, the medium credit or above four features.

The warehouse production information may be information for describing warehouse production conditions, such as resource information of a warehouse, occupied information of the warehouse for scheduled advertisements, task information of the warehouse, and the like; for example, the resource information of the warehouse may include the size of the warehouse (e.g., whether the warehouse is a comprehensive warehouse or a single-type warehouse, the storage amount information of the warehouse, etc.), the capability of the warehouse for advertisement placement processing (e.g., the number of brochures that can be arranged in one day, the number of advertisement stickers that can be pasted in one day), the environment information of the warehouse resource (e.g., the convenience of traffic around the warehouse, the number of transportation devices equipped in the warehouse, whether the warehouse has a move plan or a personnel change plan in the near term, etc.); the occupied information of the warehouse for the scheduled advertisements can be the date and the occupied amount information of the warehouse occupied by the scheduled advertisements;

the task information of the warehouse can be order task information generated by the warehouse based on an order submitted by a user, and can comprise historical task information, task information to be produced and the like; the historical task information can be acquired from a preset offline database, and the to-be-produced task information can be an order task which is generated for an order submitted by a user but is not processed for delivery; the task information can also comprise the information of the characteristics to be selected;

according to the production information of the warehouse, the characteristic information of the advertisement is considered, the future task quantity of the warehouse is estimated by using a configured estimation model, and the task quantity corresponding to the characteristic information in the advertisement putting time period is obtained and used as a pre-estimated value of the task quantity of the warehouse; and then determining a delivery strategy (such as selecting a delivery warehouse and determining a delivery amount), and delivering the advertisement with the warehouse.

According to the method, the warehouse task quantity corresponding to the advertisement characteristics can be estimated by using the configured estimation model according to the characteristic information of the along-warehouse advertisements and the production information of the warehouse, and then the delivery strategy is determined according to the estimated warehouse task quantity for advertisement delivery so as to realize accurate matching of the advertisements and the delivery warehouse, so that the delivery of the advertisements can be accurately matched with users, a better advertisement effect is generated, and meanwhile, the shortage or waste of materials can be avoided.

In some embodiments, determining a warehouse task quantity pre-estimation value corresponding to the characteristic information according to the warehouse production information and the delivery information includes:

Fig. 2 is a schematic diagram of main steps of determining a first task amount estimated value in a method for advertisement delivery according to an embodiment of the present invention, as shown in fig. 2, including:

step S201, obtaining historical task information from a historical database;

s202, determining target historical task information from historical tasks based on the characteristic information of the advertisement with the bin;

step S203, acquiring task information to be produced from a real-time database; the method comprises the steps that a high-throughput distributed publishing and subscribing message system kafka can be used for receiving order information of a user, determining task information to be produced according to the order information, and storing the task information into a real-time database for obtaining;

s204, determining target to-be-produced task information from the to-be-produced tasks based on the characteristic information of the along-bin advertisements;

the sequence of the steps S201 to S202 and the sequence of the steps S203 to S204 can be unfixed or can be carried out simultaneously;

step S205, determining future task quantity estimation information according to the target historical task information and the target to-be-produced task information by using a preset estimation model corresponding to the characteristic information, and storing the future task quantity estimation information into an offline database;

and S206, acquiring future task quantity estimated information from the off-line database, determining the task quantity in the release time period from the future task quantity estimated information as a first task quantity estimated value according to release time information, and storing the first task quantity estimated value in an advertisement release management platform service library for subsequent use.

In some embodiments, before determining the warehouse task quantity pre-estimation value corresponding to the feature information according to the task information and the delivery information, the method further includes:

In some practical cases, the situation that the task information does not contain the features to be selected of the advertisements with the bins exists; when the task item information in the task contains the feature information to be selected, determining the feature information to be selected contained in the task information according to the feature to be selected in the task item information; or when the task item information in the task does not contain the candidate feature information, an association relationship between the task item and the candidate feature can be established for the task item (for example, the infant milk powder and the item type can be associated, and the one-piece dress and the gender are associated), and then the candidate feature information contained in the task information is determined according to the candidate feature information in the task item information.

Fig. 3 is a schematic diagram of main steps of configuring a pre-estimation model corresponding to the feature information in a method for advertisement delivery according to an embodiment of the present invention, including:

s301, receiving an instruction for configuring a pre-estimation model;

s302, selecting features to be selected to determine feature information of the advertisement with the bin;

step S303, judging whether the audit is passed, specifically, whether a similar feature combination exists or whether the selected feature to be selected can be acquired from the task information can be audited; if the verification is not passed, executing step S302 to reselect the feature to be selected; if the audit is passed, executing step S304;

s304, configuring an estimation model corresponding to the characteristic information, specifically, configuring various data required for subsequent development;

step S305, after confirming that the development of the pre-estimated model corresponding to the feature information is completed, the process is ended.

Fig. 4 is a schematic diagram of main steps of constructing an association relationship between newly-added candidate features and task information in an advertisement delivery method according to an embodiment of the present invention, where the method includes:

step S401, receiving an instruction for increasing the features to be selected;

step S402, determining newly added features to be selected, and submitting information of the newly added features, such as feature identification, feature name, feature description and the like;

step S403, determining whether the audit is passed, specifically, whether similar features to be selected already exist or whether newly added features to be selected are related to the task information may be audited; if the verification is not passed, executing step S402 to re-determine the newly added features; if the audit is passed, executing step S404;

step S404, adding a query rule script of the newly added features to construct an incidence relation with the task information, specifically, defining the rule script of the newly added features to be queried, defining a filtering statement and the like;

and S405, after confirming that the association relation between the newly-added features to be selected and the task information is established, ending the process.

In some embodiments, determining a warehouse workload estimate from the first workload estimate comprises:

The advertisement throughput may be regarded as a value for measuring the capability of the warehouse for advertisement delivery processing, and the factors involved in determining the advertisement throughput may include: the number value of the single individual processing the advertisement every day, the number value of the single individual arranged in the warehouse, the advertisement processing difficulty coefficient, the warehouse coefficient and the like; wherein, a single individual can be a worker and/or a machine device for processing the advertisement, the difficulty of processing different kinds of advertisements can be quantized into an advertisement processing difficulty coefficient, and the warehouse resource environment value can be quantized into a warehouse coefficient;

the preset processing elasticity coefficient can be adjusted according to the actual situation;

and taking the smaller value of the first task amount estimated value and the second task amount estimated value as the warehouse task amount estimated value, so that the advertisement putting can be better completed on time and in quantity.

In some embodiments of the present invention, the,

The occupied information can comprise occupied task amount information of the warehouse, characteristic information of advertisements occupying the task amount and the like;

the target delivery warehouse is determined according to the method, so that the warehouse with a larger available task amount estimated value can be determined as the target delivery warehouse, and the number of the target delivery warehouses is reduced as much as possible under the condition that the total advertisement delivery amount is fixed, so that the effect of centralized use of resources is achieved;

in some preferred embodiments, the auditing can be carried out after the putting strategy of the advertisement with the bin is determined so as to optimize the putting strategy.

Fig. 5 is a schematic view of a visualization interface showing the task amount estimation of each warehouse in the method for advertisement delivery according to the embodiment of the present invention, as shown in fig. 5, which is a schematic view showing the available task amount estimation corresponding to the advertisement feature information with the warehouse and the occupied percentage of each warehouse per day in a period from 8 # to 12 # of a month; and the task quantity estimated value corresponding to the characteristic information of each warehouse in the future every day and the historical task information corresponding to the characteristic information of each warehouse in the past every day can be displayed on the interface in a selected mode.

In some embodiments, before sorting according to the estimated value of the available task amount of each warehouse from high to low, and selecting the top n warehouses as target delivery warehouses, the method further comprises:

confirming that the sum of the available task quantity estimated values of all the warehouses is not less than the total delivery quantity value; and if not, updating the releasing information.

When the sum of the available task quantity estimated values of all the warehouses is smaller than the total delivery quantity value, the sum of the available task quantity estimated values of all the warehouses can be enabled to be not smaller than the total delivery quantity value in a mode of increasing the delivery time, and/or reselecting characteristic information, and/or the smaller total delivery quantity value.

In some embodiments, the method for advertisement delivery provided by the embodiment of the present invention further includes:

The early warning rules may include early warning for values, early warning for notifications of emergency, early warning for notifications of checks or checks at a fixed frequency, early warning for setting custom rules, etc.

Fig. 6 is a schematic diagram illustrating main steps of an early warning method in a method for advertisement delivery according to an embodiment of the present invention, and as shown in fig. 6, the early warning type may include: informing and early warning of advertisement putting progress, informing and early warning of emergency, early warning of insufficiency of actual value of daily warehouse task amount, early warning of overtime audit and early warning of self-defined rules; the early warning method mainly comprises the following steps:

step S601, receiving an early warning message;

step S602, judging whether the release strategy needs to be updated according to the early warning message; if yes, go to step S603; if not, go to step S606;

step S603, determining a new delivery strategy according to the advertisement delivery method in the invention;

step S604, auditing the new release strategy;

step S605, updating the putting information and/or warehouse production information;

and step S606, feeding back the early warning content.

FIG. 7 is a block diagram of a method of advertisement delivery, according to an embodiment of the present invention; the method comprises the following steps: a received order task component 701, a message processing flow system 702, a real-time order processing component 703, a real-time table 704, an offline order analysis component 705, an offline library 706, an advertisement delivery management platform 707, and a configuration library 708; wherein,

the receive order task component 701 may send the order task message to the message processing flow system 702 for processing;

the real-time order processing component 703 may consume the user order task information in the message processing flow system 702, process and generate an order task characteristic width table, and store the order task characteristic width table in the real-time table 704;

the offline order analysis component 705 can perform offline analysis on the historical task information and the to-be-produced task information in the message processing flow system 702, estimate the future task amount according to the historical task information and the to-be-produced task information, and store the estimated future task amount in the offline library 706;

the advertisement delivery management platform 707 can be regarded as a background management system of the method of the present invention, and is responsible for maintaining the whole life cycle of the advertisement project, and performs data intercommunication with the configuration library 708;

the configuration library 708 can be in data communication with the real-time table 704 and the offline library 706;

the method for advertisement delivery in the invention can be realized by the above framework mode.

Fig. 8 is a schematic diagram of main steps of a method for advertisement delivery according to an embodiment of the present invention, including:

step S801, receiving delivery information of the advertisement along with the warehouse;

step S802, warehouse production information is obtained;

step S803, inquiring and pre-estimating according to the characteristic information;

step S804, displaying target historical task information corresponding to the characteristic information for reference;

step S805, judging whether an estimated model corresponding to the characteristic information exists, if so, executing step S806, and if not, executing step S809;

step S806, displaying the task quantity estimation condition corresponding to the characteristic information in each warehouse by using the estimation model;

step S804 and steps S805 to S806 may be performed simultaneously, and their respective executions may not be affected by each other;

step S807, determining a delivery strategy of the advertisement along with the warehouse;

step S808, checking the release strategy and judging whether the release strategy is correct or not; if yes, the process is determined to be finished, and if not, the step S807 is repeated to re-determine the release strategy;

step S809, judging whether the task information has the characteristics to be selected of the advertisements along with the warehouse, if so, executing step S810, and if not, executing step S811;

step S810, configuring a pre-estimation model corresponding to the characteristic information;

and S811, displaying the task quantity estimation condition corresponding to the characteristic information in each warehouse by using the estimation model.

Fig. 9 is a schematic diagram of main blocks of an apparatus for advertisement delivery according to an embodiment of the present invention, and as shown in fig. 9, the apparatus 900 for advertisement delivery includes:

an obtaining module 901, configured to obtain warehouse production information in response to received delivery information of an advertisement with a warehouse; wherein the delivery information at least comprises: characteristic information; the warehouse production information at least comprises: task information;

the pre-estimation module 902 is configured to determine a warehouse task amount pre-estimation value corresponding to the characteristic information according to the warehouse production information and the delivery information;

a policy determining module 903, configured to determine a delivery policy of the ad-along-warehouse according to the warehouse task amount pre-estimated value and the delivery information; and delivering the advertisement along with the warehouse according to the delivery strategy.

The on-bin advertisements may be advertisements implemented depending on logistics packages produced in the warehouse based on order tasks, and the types of on-bin advertisements may include: advertising along with the package of small gifts and pasters, sticker advertising attached to the package, advertising in brochures, light paper products and the like placed in the package, advertising in customized packaging boxes and the like;

in some embodiments, the characteristic information of the on-bin advertisement may be: a combined feature formed by combining at least one candidate feature of the advertisement; the candidate features may be article features corresponding to the advertisement and targeted user features, and may include at least one of the following: user area, user gender, user credit, user consumption rating, user device type, item type, etc.; the following illustrates the characteristic information of the advertisement:

In some embodiments, the task information includes: historical task information and task information to be produced; the delivery information further comprises: release time information;

the estimation module 902 determines a warehouse task amount estimation value corresponding to the characteristic information according to the warehouse production information and the delivery information, and includes:

In some embodiments, before determining the warehouse task quantity pre-estimation value corresponding to the feature information according to the task information and the delivery information, the pre-estimation module 902 further includes:

In some embodiments, the warehouse production information further comprises: resource information; the delivery information further comprises: advertisement type information of the on-bin advertisements;

the estimation module 902 determines a warehouse task quantity estimated value according to the first task quantity estimated value, including:

In some embodiments, the warehouse production information further comprises: occupied information; the delivery information further comprises: putting a total quantity value;

the policy determining module 903 determines the delivery policy of the advertisement with the warehouse according to the warehouse task amount pre-estimated value and the delivery information, and the policy determining module includes:

In some embodiments, the determining policy module 903 further includes, before sorting according to the estimated value of the available task amount of each warehouse from high to low, and selecting the top n warehouses as target delivery warehouses:

In some embodiments, the apparatus for advertisement delivery provided by the embodiment of the present invention further includes: an early warning module 904;

the early warning module 904 is configured to set an early warning rule for the warehouse production information and the delivery information;

when the early warning module 904 determines that the warehouse production information and the delivery information trigger early warning according to the early warning rule, the determination policy module 903 updates the delivery policy of the on-board advertisement according to the advertisement delivery method.

Fig. 10 is a schematic diagram of main functional modules of a management platform for advertisement placement according to an embodiment of the present invention, and as shown in fig. 10, the management platform 1000 for advertisement placement includes:

the service module 1001 includes: a delivery item information management unit 10011, a delivery policy management unit 10012, and an invoice receipt management unit 10013;

a base module 1002, comprising: a basic resource management unit 10021, a characteristic information management unit 10022, and a warehouse task amount management unit 10023;

a permission and approval module 1003 and a monitoring and early warning module 1004;

wherein, the basic module 1002 can serve the business module 1001;

the base resource management unit 10021 may include: advertisement putting information management, warehouse production information management, other resource management and the like; the feature information management unit 10022 may include: managing the characteristics to be selected, managing an estimation model and the like; the warehouse task amount management unit 10023 may include: the method comprises the steps of warehouse task amount estimation condition management, recheck management of warehouse task amount estimation and the like.

Fig. 11 illustrates an exemplary system architecture 1100 for a method of advertisement placement or a device for advertisement placement to which embodiments of the present invention may be applied.

As shown in fig. 11, the system architecture 1100 may include

terminal devices

1101, 1102, 1103, a network 1104, and a server 1105. The network 1104 is a medium to provide communication links between the

terminal devices

1101, 1102, 1103 and the server 1105. Network 1104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

A user may use

terminal devices

1101, 1102, 1103 to interact with a server 1105 over a network 1104 to receive or send messages or the like. Various communication client applications, such as a shopping application, a web browser application, a search application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the

terminal devices

1101, 1102, 1103.

The

terminal devices

1101, 1102, 1103 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 1105 may be a server that provides various services, such as a background management server that supports shopping websites browsed by users using the

terminal apparatuses

1101, 1102, 1103. The background management server can analyze and process the received data such as the product information inquiry request and feed back the processing result to the terminal equipment.

It should be noted that the method for advertisement delivery provided by the embodiment of the present invention is generally executed by the server 1105, and accordingly, the apparatus for advertisement delivery is generally disposed in the server 1105.

It should be understood that the number of terminal devices, networks, and servers in fig. 11 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to FIG. 12, shown is a block diagram of a computer system 1200 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 12 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.

As shown in fig. 12, the computer system 1200 includes a Central Processing Unit (CPU)1201, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)1202 or a program loaded from a storage section 1208 into a Random Access Memory (RAM) 1203. In the RAM 1203, various programs and data necessary for the operation of the system 1200 are also stored. The CPU 1201, ROM 1202, and RAM 1203 are connected to each other by a bus 1204. An input/output (I/O) interface 1205 is also connected to bus 1204.

The following components are connected to the I/O interface 1205: an input section 1206 including a keyboard, a mouse, and the like; an output portion 1207 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 1208 including a hard disk and the like; and a communication section 1209 including a network interface card such as a LAN card, a modem, or the like. The communication section 1209 performs communication processing via a network such as the internet. A driver 1210 is also connected to the I/O interface 1205 as needed. A removable medium 1211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is mounted on the drive 1210 as necessary, so that a computer program read out therefrom is mounted into the storage section 1208 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 may be downloaded and installed from a network through the communication section 1209, and/or installed from the removable medium 1211. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 1201.

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 comprises an acquisition module, an estimation module, a strategy determination module and an early warning 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: s101, responding to received advertisement putting information with a warehouse, and acquiring warehouse production information; wherein the delivery information at least comprises: characteristic information; the warehouse production information at least comprises: task information; step S102, determining a warehouse task quantity pre-estimated value corresponding to the characteristic information according to the warehouse production information and the delivery information; step S103, determining a delivery strategy of the advertisement along with the warehouse according to the warehouse task quantity estimated value and the delivery information; and delivering the advertisement along with the warehouse according to the delivery strategy.

According to the technical scheme of the embodiment of the invention, the warehouse task quantity corresponding to the characteristics of the advertisement can be estimated by using the configured estimation model according to the characteristic information of the along-warehouse advertisement and the production information of the warehouse, and then the delivery strategy can be determined according to the estimated warehouse task quantity for advertisement delivery, so that the advertisement delivery can be more accurately matched with the user, a better advertisement effect can be generated, and meanwhile, the shortage or waste of materials is avoided; early warning can be carried out by formulating an early warning rule, so that the putting strategy can be adjusted and updated in time, and the shortage or waste of materials is better avoided.

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

1. A method of advertisement placement, comprising:

2. The method of claim 1, wherein the feature information comprises: a combined feature formed by combining at least one candidate feature of the on-bin advertisements;

3. The method of claim 2, wherein the task information comprises: historical task information and task information to be produced; the delivery information further comprises: release time information;

4. The method of claim 3, further comprising, prior to determining a warehouse task volume estimate corresponding to the characterizing information based on the task information and the placement information:

5. The method of claim 4, wherein the warehouse production information further comprises: resource information; the delivery information further comprises: advertisement type information of the on-bin advertisements;

determining the advertisement processing amount of the advertisement with the bin in the warehouse in the delivery time according to the resource information and the advertisement type information; taking the product of the advertisement processing capacity and a preset processing elasticity coefficient as a second task capacity estimated value; and taking the smaller value of the first task amount estimated value and the second task amount estimated value as the warehouse task amount estimated value.

6. The method of claim 5, wherein the warehouse production information further comprises: occupied information; the delivery information further comprises: putting a total quantity value;

7. The method of claim 6, further comprising, before sorting the forecasted values of available task volume for each warehouse from high to low and selecting the top n warehouses as target delivery warehouses:

and updating the releasing information.

8. The method of claims 1-7, further comprising:

when the warehouse production information and the delivery information trigger early warning according to the early warning rule, updating the delivery strategy of the advertisement along with the warehouse according to the method of any one of claims 1 to 6.

9. An apparatus for advertisement placement, comprising:

10. The apparatus of claim 9, further comprising: an early warning module;

when the early warning module determines that the warehouse production information and the delivery information trigger early warning according to the early warning rule, the determination strategy module updates the delivery strategy of the on-board advertisement according to the method of any one of claims 1 to 6.

11. An electronic device for advertisement delivery, 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 1-8.

12. 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 1-8.