CN114491695A

CN114491695A - Article display method, article display device and server

Info

Publication number: CN114491695A
Application number: CN202210060776.7A
Authority: CN
Inventors: 周长江
Original assignee: Multipoint Shenzhen Digital Technology Co ltd
Current assignee: Multipoint Shenzhen Digital Technology Co ltd
Priority date: 2022-01-19
Filing date: 2022-01-19
Publication date: 2022-05-13

Abstract

The invention provides an article display method, an article display device and a server, wherein the article display method comprises the following steps: acquiring article information of an article to be displayed and a preset display rule tree; determining the estimated number of the surfaces of the articles to be displayed and a target shelf according to the article information and the display rule tree; determining an article display result according to preset display constraints and the estimated face position number; wherein the item display result comprises one or more of a shelf level, a bin order, and a face position of the items to be displayed in the target shelf. The invention can realize the automation of article display, and obviously improve the problems of low display efficiency, poor display normalization and the like caused by the limitation of manpower.

Description

Article display method, article display device and server

Technical Field

The invention relates to the technical field of data processing, in particular to an article display method, an article display device and a server.

Background

The rising of the mobile internet, the mature application of technologies such as big data and artificial intelligence on-line power supplier platforms also bring unprecedented opportunities and challenges to brand merchants, brand advertisements and effect advertisements can be gradually possible from the marketing perspective, in the digitalized wave tide, the deep understanding of a solution is achieved, and the brand merchants need to form substantial recognition from decision layers inside enterprises and the improvement of consciousness of functional departments, and are the key to the success or failure of new retail transformation. The new retail mode may include an unmanned supermarket/convenience store mode, an online-to-offline mode, a multi-point + offline-to-online mode, and the like.

At present, shelf display usually adopts a pure manual operation mode, for example, a display manager draws a drawing by using drawing software such as a drawing tool JDA according to own experience, and expresses the derived drawing to a store, and store personnel display commodities according to the drawing. However, the above operation flow has problems of breakage, inefficiency, etc., and since the experience of each display manager is different, standardized and standardized display of merchandise cannot be realized.

Disclosure of Invention

In view of the above, an object of the present invention is to provide a method, an apparatus, and a server for displaying an article, which can realize automation of article display and significantly improve problems such as low display efficiency and poor display standardization due to manpower limitation.

In a first aspect, an embodiment of the present invention provides an article display method, including: acquiring article information of an article to be displayed and a preset display rule tree; determining the estimated number of the surfaces of the articles to be displayed and a target shelf according to the article information and the display rule tree; determining an article display result according to preset display constraints and the estimated face position number; wherein the item display result comprises one or more of a shelf level, a bin order, and a face position of the items to be displayed in the target shelf.

In one embodiment, before the step of obtaining the item information of the item to be displayed and the preset display rule tree, the method further comprises: creating display rules in response to a rule creation operation acting on the graphical user interface; responding to attribute configuration operation aiming at the display rule, and determining the display attribute corresponding to the display rule; converting the display rule into a tree structure to obtain a display rule tree; wherein each node of the display rule tree corresponds to the display attribute.

In one embodiment, the step of determining an estimated number of faces and a target shelf for the item to be displayed based on the item information and the display rule tree comprises: establishing an association relation between the article information of the articles to be displayed and each node according to the display attribute corresponding to each node in the display rule tree; wherein the item information at least comprises an item attribute and an item index, and the item attribute at least comprises an item size; carrying out gridding processing on a shelf model corresponding to a candidate shelf, and determining the total linear meter corresponding to the candidate shelf; and determining the estimated face number and the target shelf of the to-be-displayed article based on the incidence relation of each node in the display rule tree and the total linear meter.

In one embodiment, the step of determining the estimated number of the faces of the item to be displayed based on the association relationship of each node in the display rule tree and the total linear meters comprises: recursion is carried out on the display rule tree, and whether the nodes in the display rule tree meet face position calculation conditions or not is judged according to the incidence relation of each node in the display rule tree; if so, allocating current linear meters for each item to be displayed based on the item size and the item index of each item to be displayed associated with the node; determining the remaining linear meters of the candidate shelves based on the current linear meter and the total linear meter corresponding to each item to be displayed; if the remaining linear meters are greater than a first linear meter threshold value, increasing the current linear meter of each item to be displayed based on the item size and item index of each item to be displayed associated with the node until the remaining linear meters are less than or equal to the first linear meter threshold value; determining the current linear meter of each article to be displayed as the estimated number of the face of each article to be displayed when the remaining linear meter is less than or equal to the preset linear meter threshold value; wherein the face position calculation condition at least comprises: the node is a terminal node, or the node is not a terminal node, the articles to be displayed associated with the node are displayed according to a specified display direction, the shelves are not specified for the articles to be displayed associated with the node, and the articles to be displayed associated with the node do not belong to the same article group, or the node is not a terminal node, the articles to be displayed associated with the node are displayed according to a non-specified display direction, the shelves are specified for the articles to be displayed associated with the node, and the articles to be displayed associated with the node do not belong to the same article group.

In one embodiment, the step of determining the target shelf of the item to be displayed based on the association relationship of each node in the display rule tree and the total linear meters comprises: calculating an average number of items per shelf level in the candidate shelves according to the total linear meters; recursion is carried out on the display rule tree, and whether the nodes in the display rule tree meet the shelf binding condition or not is judged according to the association relation of each node in the display rule tree; if so, determining a pre-allocated shelf for each of the items to be displayed associated with the node from the candidate shelves; judging whether the node executes shelf crossing processing or not according to the average article quantity; and if the node does not execute the cross-shelf processing, determining the pre-distribution of each item to be displayed as the target shelf of each item to be displayed.

In one embodiment, the method further comprises: determining a cross-shelf item from the items to be displayed associated with the node if the node performs the cross-shelf processing; judging whether the number of the shelf-crossing articles is 1 or not; if yes, determining a target shelf of the cross-shelf goods from the other candidate shelves according to the remaining linear meters of the other candidate shelves except the pre-distribution shelf; if not, determining the target shelf of the cross-shelf item from the other candidate shelves according to the distribution linear meters of the other candidate shelves except the pre-distribution shelf and a second linear meter threshold value.

In one embodiment, prior to the step of determining an item display result based on preset display constraints, the estimated number of faces, and the target shelf, the method further comprises: judging whether the estimated surface number of the to-be-displayed article and the target shelf meet a preset judgment coefficient; and if not, adjusting the estimated face position number of the article to be displayed or the target shelf.

In one embodiment, the array constraints include one or more of hierarchy constraints, bin order constraints, and face position constraints; the step of determining the product display result according to the preset display constraint and the estimated face number comprises the following steps: defining the level variable of the commodity to be displayed according to the estimated face position number; wherein the candidate level variable value of each of the level variables comprises a first value or a second value; determining a hierarchy evaluation function according to the hierarchy constraint and a first weight coefficient corresponding to the hierarchy constraint, and determining a target hierarchy variable value corresponding to each hierarchy variable by using the hierarchy evaluation function; wherein the target level variable value is used to characterize a shelf level of the item to be displayed in the target shelf; or, defining the bin position variable of the commodity to be displayed according to the estimated face position number; wherein the candidate bin variable value for each bin variable comprises a third value or a fourth value; determining a bin level evaluation function according to the display direction, the bin level sequence constraint and a second weight coefficient corresponding to the bin level sequence constraint, and determining a target bin level variable value corresponding to each bin level variable by using the bin level evaluation function; wherein the target bin variable value is used to characterize a bin order of the items to be displayed in the target shelf; or, defining the face position variable of the commodity to be displayed according to the estimated face position number; wherein the candidate face variable value of each face variable comprises a fifth numerical value or a sixth numerical value; determining a face position evaluation function according to the face position constraint and a third weight coefficient corresponding to the face position constraint, and determining a target face position variable value corresponding to each face position variable by using the face position evaluation function; wherein the target face level variable value is used to characterize the face level position of the item to be displayed in the target shelf.

In a second aspect, embodiments of the present invention also provide an article display apparatus, comprising: the display system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring article information of articles to be displayed and a preset display rule tree; the goods shelf determining module is used for determining the estimated number of the surfaces of the goods to be displayed and a target goods shelf according to the goods information and the display rule tree; the result determining module is used for determining an article display result according to preset display constraints and the estimated face position number; wherein the item display result comprises one or more of a shelf level, a bin order, and a face position of the items to be displayed in the target shelf.

In a third aspect, an embodiment of the present invention further provides a server, including a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.

In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement any one of the methods provided in the first aspect.

According to the article display method, the apparatus and the server provided by the embodiment of the invention, firstly, article information of an article to be displayed and a preset display rule tree are obtained, then, an estimated face number and a target shelf of the article to be displayed are determined according to the article information and the display rule tree, and finally, an article display result is determined according to preset display constraints and the estimated face number. Wherein the item display result comprises one or more of a shelf level, a bin order, and a face position of the items to be displayed in the target shelf. The method can determine the estimated face number and the target goods shelf according to the goods information and the display rule tree, and determine the goods display result by combining the display constraint on the basis.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic flow chart of a method of displaying an item according to an embodiment of the present invention;

FIG. 2 is an overall frame diagram of a method of displaying an article according to an embodiment of the present invention;

FIG. 3 is a schematic flow chart of another method of displaying an item according to an embodiment of the present invention;

FIG. 4 is a schematic view of an article attribute provided by an embodiment of the present invention;

FIG. 5 is a schematic illustration of an exhibition rule provided by an embodiment of the present invention;

FIG. 6 is a schematic flow chart of an expected face bits algorithm according to an embodiment of the present invention;

FIG. 7 is a schematic flow chart of a shelf assignment algorithm provided in accordance with an embodiment of the present invention;

FIG. 8 is a schematic flow chart of a cross-shelf algorithm according to an embodiment of the present invention;

FIG. 9 is a flowchart illustrating a result evaluation algorithm according to an embodiment of the present invention;

FIG. 10 is a flow diagram of a compute engine according to an embodiment of the present invention;

FIG. 11 is a schematic diagram of an article display apparatus according to an embodiment of the present invention;

fig. 12 is a schematic structural diagram of a server according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the embodiments, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Currently, new retail models, such as the unmanned supermarket/convenience store model (e.g., Amazon GO, etc.), the online-to-offline model (e.g., ali or kyoto, etc.), the multi-point + offline-to-online model, etc., are beginning to be well-sprayed. The existing shelf display scheme generally adopts pure manual operation and empirical operation, a display manager draws a drawing by using drawing software such as a drawing tool JDA according to self experience and expresses the derived drawing to a store, store personnel display commodities according to the drawing, the scheme has the problems of breakage, low efficiency and the like in the operation process, a closed loop is not formed, the display manager draws the drawing by using the drawing tool JDA according to the self experience and has large limitation, the experience of different display managers is different, the drawing result is difficult to achieve standardization and normalization, the display drawing manufactured simultaneously lacks data support, whether the optimal drawing is difficult to define, for example, the self sales volume of a certain commodity is poor, and more display resources are provided due to the integral aesthetic effect.

In addition, the display drawings still need a tool dragged by manpower, the data support of the whole process is lacked, the one-sidedness of personal experience can appear as a result, and due to the limitation of personal energy, the time consumption for displaying the drawings is long, and the response efficiency to the market is reduced.

Based on the above, the invention provides an article display method, an article display device and a server, which can realize article display automation and remarkably improve the problems of low display efficiency, poor display normalization and the like caused by manpower limitation.

To facilitate understanding of the present embodiment, a detailed description is first given of an article display method disclosed in the present embodiment, referring to a schematic flow chart of the article display method shown in fig. 1, the method mainly includes the following steps S102 to S106:

and step S102, acquiring article information of the articles to be displayed and a preset display rule tree. The article to be displayed may include a commodity, the article information may include an article attribute and an article index, the article attribute may include an article size (also referred to as an article specification), an article brand, a large article category, a small article category, an article series, an article height, and the like, the article index may be a CPI (yield ratio) index, and the CPI is a comprehensive judgment of the yield by using a DEA (Data envelope analysis) algorithm. The display rule tree is obtained by converting a preset display rule into a tree structure, each node of the display rule tree corresponds to a display attribute, the display attribute is a basic element of a display principle, and the display attribute is used for determining the outline of an article display result.

In one embodiment, an upload channel of item information may be provided for a user, such as manual input upload or code scanning upload, and a rule configuration control may be provided through a graphical user interface, and in response to an operation directed to the rule configuration control, a display rule is created and configured, and the configured display rule is converted into a tree structure, so as to obtain the display rule tree.

And step S104, determining the estimated face number and the target shelf of the to-be-displayed article according to the article information and the display rule tree. The estimated number of the faces is used for the number of the rows of the articles to be displayed on the target shelf. In one embodiment, an association between the item information and each node in the display rule tree may be established, and when the display rule tree is recurred, the estimated number of faces and the target shelf of the item to be displayed may be determined based on the association of each node.

And S106, determining an article display result according to the preset display constraint and the estimated face number. The display constraints comprise one or more of level constraints, bin order constraints and face position constraints, the product display result comprises one or more of a shelf level, a bin order and a face position of a product to be displayed in a target shelf, the product display result can adopt an image format, the shelf level is the Nth layer of the shelf, the bin order is virtual coordinates of the product relative to the target shelf and is used for representing the specific position of the product on the target shelf, and the face position is used for representing the specific position of each face on the target shelf. In one embodiment, a level merit function may be determined based on the level constraints, such that the level merit function is used to determine the shelf level of the item to be displayed in the target shelf; the bin evaluation function can be determined according to bin order constraint, so that the bin order of the articles to be displayed in the target shelf is determined by using the bin order function; a face position evaluation function may also be determined based on the face position constraint, such that the face position of the item to be displayed in the target shelf is determined using the face position evaluation function.

According to the article display method provided by the embodiment of the invention, the estimated face number and the target shelf can be determined according to the article information and the display rule tree, and the article display result is determined by combining the display constraint on the basis.

In order to facilitate understanding of the article display method provided in the foregoing embodiment, an overall frame diagram of the article display method is provided in the embodiment of the present invention as shown in fig. 2, and fig. 2 schematically illustrates an overall frame diagram including a base layer, a planning layer and an application layer, where the base layer is used for basic information management, the base information includes commodity attributes (that is, the above article attributes), custom display attributes, shelf resources, service indexes, and the like, the planning layer is used for display rule management, and includes a left-right-up-down operation mode, an attribute priority ranking, a dimension grouping, a module preview, and the like, the application layer includes an automatic planogram function and a one-key replacing function, and a display manager can perform operations such as fine adjustment of article display results, putting new articles on shelves, putting old articles off shelves, and the like through the one-key replacing function.

On the basis, the embodiment of the present invention further provides a flow chart diagram of another article display method as shown in fig. 3, where the algorithm includes two parts, namely a data conversion part and a calculation engine, the data conversion part is mainly used for converting the input display rule into a data structure identified by the calculation engine, and the data structure is used as an input parameter of the calculation engine, and the calculation engine is mainly used for solving an optimal article display result for each index within a limited time according to the display rule and outputting the article display result. FIG. 3 shows that the application layer includes an automatic illustration function and a substitution function, the data conversion includes display principle conversion, associated commodity attributes, associated commodity indexes, calculation of estimated positions of the commodity, and allocation of target shelves, and the calculation engine includes determination of commodity level, determination of commodity bin order, and determination of commodity position of the commodity.

In practical applications, the embodiment of the present invention further provides a schematic diagram of an article attribute as shown in fig. 4, where the article attribute may include a product code, a product country barcode, a product picture, a product MC, a product EMC, a product specification, a product package, a product supplier, a product brand, a product height value, a product series, and the like.

For the foregoing display principle conversion, an embodiment of the present invention provides an implementation manner of generating a display rule tree, specifically:

(1) the exposure rules are created in response to a rule creation operation that acts on the graphical user interface. In one embodiment, the graphical user interface may provide a rule creation control that, when a click operation is intercepted that acts on the rule creation control, will generate an initial exposure rule.

(2) And determining the display attribute corresponding to the display rule in response to the attribute configuration operation aiming at the display rule. The display attributes include commodity attributes, display modes, and priorities. For example, the display rules may include product category (i.e., medium category, small category separate display in a shelf group), product brand (i.e., concentrated display by brand, and brand display order may be specified), product format (i.e., product, such as cola large bottles, medium bottles, small bottles, etc., is displayed by same format), product packaging (i.e., product, such as potato chip bags, cans, is displayed by same package), product origin (i.e., product, such as red wine origin, is displayed by same color patch concentration, to improve display aesthetics), product price band (i.e., product is displayed by price band high, medium, low order). For example, a schematic of one display rule is shown in FIG. 5.

In practical application, according to the display priority, display modes of different attributes can be specified, and attribute values are sorted, grouped and configured according to a sub-principle. The graphical user interface may provide "blockiness," "display," "property grouping," "shelf count," "designated layer," "secondary priority rules," "sub-rules," and the like. For the block mode, the block display can be selected, the selected block display indicates that the same commodity can be displayed up and down (longitudinally expanded) on two adjacent shelves, and if the commodity is not selected, the commodity can only be transversely expanded in the same layer; for "display mode," one can choose "from left to right" or "from top to bottom," either to represent the item of the currently selected attribute (e.g., brand/specification), respectively, in order, from left to right or top to bottom (the order between attributes can be dragged across the system in the order); for the attribute grouping, a plurality of attributes can be set into one grouping, which means that a plurality of attributes in the same group are not distinguished from each other and are regarded as the same attribute; for the number of shelves, when the display mode from left to right is configured for the first time, the number of shelves occupied can be specified for a certain attribute/grouped commodity, and 0.5 is selected as the minimum unit; for the ' designated layer ', when the display mode from top to bottom ' is configured in a single shelf for the first time, a certain layer or layers of the shelf can be designated to be occupied for certain attribute/grouped commodities; for a "second-level priority rule", if all attributes/packets of a first priority rule have a common next-level refinement rule, then this rule may be configured as a second priority rule (which would apply to each attribute/packet of the first priority, respectively); for "sub-rules", if the attributes/groups of the first priority rule each have different refinement rules, then separate sub-rules need to be configured for each attribute/group. Sub-rules of high priority rules may be processed by the system before low priority rules (e.g., sub-rules of a first priority rule may be processed preferentially over sub-rules of a second priority rule).

(3) Converting the display rule into a tree structure to obtain a display rule tree; wherein, each node of the display rule tree corresponds to a display attribute.

For the foregoing step S104, an embodiment of the present invention further provides an implementation manner for determining an estimated number of faces and a target shelf of an item to be displayed according to item information and a display rule tree, including the following steps 1 to 3:

step 1, establishing an association relation between the article information of the articles to be displayed and each node according to the display attribute corresponding to each node in the display rule tree. The article information at least comprises article attributes and article indexes, and the article attributes at least comprise article sizes. Optionally, an association relationship between the commodity attribute and each node may be established first, and an association relationship between the CPI indicator and each node may be further established. Illustratively, the display rule tree includes two nodes, node a being associated with commodity 1 and node b being associated with commodity 2, node a in turn including node a1, node a2, and node a3, node a1 corresponding to the associated commodity 1, node a2 being associated with the canned commodity 1, and node a3 being associated with the canned commodity 1.

And 2, carrying out gridding treatment on the shelf model corresponding to the candidate shelf to determine the total linear meter corresponding to the candidate shelf. In one embodiment, the shelf model may be gridded according to preset grid parameters, for example, the shelf width is 90cm, the height is 120cm, and 3 layers are used, and dividing the shelf model by 1cm will result in 270 grids, so as to obtain the total linear meter of the candidate shelf as 270 and the linear meter of each layer as 90.

And 3, determining the estimated number of the surfaces of the articles to be displayed and a target shelf based on the incidence relation and the total linear meter of each node in the display rule tree. For ease of understanding, embodiments of the present invention provide embodiments for determining the estimated number of faces of items to be displayed and the target shelf, respectively, see modes one through two as follows:

in the first mode, the estimated face number of the article to be displayed is determined, and in practical application, the core logic of an expected face number algorithm (also called as a recursive self-grinding fairness algorithm) adopted for calculating the estimated face number is divided into three aspects: at least one face position of each commodity is guaranteed preferentially; consider the maximum minimum face-bit constraint (imported configuration); the face-to-face ratio of CPI high and low commodities is guaranteed to be 2:1 as much as possible. The estimated face digit of each commodity is calculated by a recursive self-grinding fairness algorithm, and the method can specifically take the following steps 3.1.1 to 3.1.5:

and 3.1.1, recursively displaying the rule tree, and judging whether the nodes in the display rule tree meet the face position calculation condition or not according to the incidence relation of each node in the display rule tree. Wherein, the face position calculation condition at least comprises: the nodes are terminal nodes, or the nodes are not terminal nodes, the articles to be displayed associated with the nodes are displayed according to the appointed display direction, the shelves are not appointed for the articles to be displayed associated with the nodes, and the articles to be displayed associated with the nodes do not belong to the same article group, or the nodes are not terminal nodes, the articles to be displayed associated with the nodes are displayed according to the unspecified display direction, the shelves are appointed for the articles to be displayed associated with the nodes, and the articles to be displayed associated with the nodes do not belong to the same article group. The display direction may include, among other things, a landscape display (such as a left-to-right display) and a portrait display (such as a top-to-bottom display).

In practical application, when the node does not satisfy the face bit calculation condition, the rule tree continues to be recursively displayed until the node satisfies the face bit calculation condition.

And 3.1.2, if so, allocating the current linear meter for each item to be displayed based on the item size and the item index of each item to be displayed associated with the node. The linear meter of each commodity is equal to the commodity width plus the commodity spacing. For example, assuming that the total linear meter is 100cm, the width of each commodity 1 is 10cm, the width of each commodity 2 is 20cm, and the distance between the commodities is 0cm, when the current linear meter is allocated to a commodity, the commodity 1 is firstly allocated with a face position by default, that is, the current linear meter is 10cm, and the commodity 2 is firstly allocated with a face position by default, that is, the current linear meter is 20 cm.

And 3.1.3, determining the remaining linear meters of the candidate shelves based on the current linear meters and the total linear meters corresponding to each article to be displayed. Continuing with the above example, the remaining linear meter may be determined to be 70 cm.

And 3.1.4, if the remaining linear meters are larger than the first linear meter threshold value, increasing the current linear meters of each item to be displayed based on the item size and the item index of each item to be displayed associated with the node until the remaining linear meters are smaller than or equal to the first linear meter threshold value. Continuing to refer to the above example, the first preset linear meter may be set to 0cm, for example, a face position is continuously allocated to the commodity 1, that is, the current linear meter is 20cm, a face position is allocated to the commodity 2, that is, the current linear meter is 40cm, the remaining linear meter may be determined to be 40cm, and it is determined that the remaining linear meter is greater than the first linear meter threshold value by 0 cm; continuously allocating a face position for the commodity 1, namely the current linear meter is 30cm, allocating a face position for the commodity 2, namely the current linear meter is 60cm, determining the remaining linear meter to be 10cm, and determining that the remaining linear meter is greater than the first linear meter threshold value by 0 cm; and continuously allocating a face position for the commodity 1, namely the current linear meter is 40cm, determining that the remaining linear meter is 0, and stopping allocation.

And 3.1.5, determining the current linear meter of each article to be displayed as the estimated face digit of each article to be displayed when the residual linear meter is less than or equal to the preset linear meter threshold value. Continuing with the above example, the estimated number of faces for item 1 is determined to be 4 and the estimated number of faces for item 2 is determined to be 3.

For easy understanding, referring to the schematic flow chart of the expected face bit algorithm shown in fig. 6, the method mainly includes the following steps S602 to S622:

step S602, shelf meshing.

Step S604, recursively array the rule tree.

Step S606, determine whether the node is a terminal node (also called a leaf node). If yes, go to step S622; if not, step S608 is performed.

Step S608 determines whether or not the display mode is a landscape display. If yes, go to step S610; if not, step S614 is performed.

In step S610, it is determined whether or not a shelf is designated. If yes, go to step S604; if not, step S612 is performed.

Step S612, determine whether there is only one packet. If yes, go to step S604; if not, step S622 is performed.

In step S614, it is determined whether a layer is designated. If yes, go to step S616; if not, step S618 is executed.

Step S616, allocate linear meters longitudinally.

In step S618, it is determined whether there is only one packet. If yes, go to step S604; if not, step S620 is executed.

Step S620, calculate linear meters for each group separately.

In step S622, the estimated number of the face of each commodity is determined.

In a second mode, a target shelf of the articles to be displayed is determined, and in practical application, the core steps of the algorithm for determining the target shelf are divided into four parts: virtual gridding of the goods shelf, namely mapping the real goods shelf into a virtual goods shelf consisting of 1cm squares; recursively distributing target shelves by the recursive display rule tree; the distribution logic of the cross-shelf can adopt a similarity algorithm; the distribution result is judged by adopting a backtracking algorithm. The following steps 3.2.1 to 3.2.9 can be specifically added:

and 3.2.1, calculating the average quantity of the items of each shelf level in the candidate shelves according to the total linear meters.

And 3.2.2, recursively displaying the rule tree, and judging whether the nodes in the display rule tree meet the shelf binding condition or not according to the incidence relation of each node in the display rule tree. The shelf binding conditions may also include that the nodes are terminal nodes, or are not terminal nodes, are arranged horizontally, and the recursion rule tree cycle ends, or are not terminal nodes, are arranged vertically, and the recursion rule tree cycle ends.

Step 3.2.3, if so, determining a pre-assigned shelf for each item to be displayed associated with the node from the candidate shelves. In one embodiment, the pre-dispensing shelves may be determined in a left-to-right order if arranged laterally.

And 3.2.4, judging whether the node executes cross-shelf processing according to the average article quantity.

At step 3.2.5, if the node is not performing cross-shelf processing, the pre-allocation of each item to be displayed is obtained and determined to be the target shelf for each item to be displayed.

Step 3.2.6, if the node performs cross-shelf processing, cross-shelf items are determined from the items to be displayed associated with the node.

And 3.2.7, judging whether the number of the cross-shelf articles is 1.

If so, a target shelf for the cross-shelf item is determined from the remaining candidate shelves, based on the remaining linear meters of the remaining candidate shelves except for the pre-assigned shelf, step 3.2.8. For example, when the number of cross-shelf products is 1, a target shelf having a large dimension may be selected from the left and right shelves, and when the number of cross-shelf products is plural, the target shelf having a large proportion of the number of products allocated to the left and right shelves may be selected.

If not, the target shelf of the cross-shelf item is determined from the remaining candidate shelves based on the allocated linear meters of the remaining candidate shelves except the pre-allocated shelf and the second linear meter threshold, step 3.2.9. Wherein the second linear meter threshold may also be referred to as an error value. Illustratively, if the leftmost cross-shelf is assigned a linear meter less than the error value, or the rightmost cross-shelf is assigned a linear meter less than the error value, the shelf will be released (i.e., the item to be displayed bound to the shelf is determined), if not, if the leftmost cross-shelf is assigned a linear meter greater than or equal to the error value and the rightmost cross-shelf is assigned a linear meter greater than or equal to the error value, a pre-assigned shelf for cross-shelf items will be determined from the shelves.

To facilitate understanding of the above embodiments, the embodiment of the present invention provides a schematic flowchart of a shelf allocation algorithm as shown in fig. 7, and the method mainly includes the following steps S702 to S730:

step S702, shelf meshing.

Step S704, calculate the average number of commodities per layer.

Step S706, recursively array the rule tree.

In step S708, it is determined whether the node is a leaf node. If yes, go to step S726; if not, step S710 is performed.

Step S710, determine whether to arrange horizontally. If so, go to step S712; if not, go to step S718;

step S712, loop processing the sub-rule.

In step S714, it is determined whether the loop is ended. If yes, go to step S716; if not, step S712 is performed. In one embodiment, the end of the loop is determined when recursion is made to a leaf node.

In step S716, the pre-allocation shelf is determined.

In step S718, the display rule columns are shifted. Since the horizontal arrangement is not adopted, but the vertical arrangement is adopted, the display rule columns need to be shifted, so that the converted display rule can be applied to the vertical arrangement.

Step S720, the sub-rules are circularly processed.

In step S722, it is determined whether or not the loop is ended. If yes, go to step S724; if not, go to step S720.

Step S724, a rule tree is constructed.

In step S726, it is determined whether or not the shelf crossing processing is performed. If yes, go to step S728; if not, step S730 is performed.

In step S728, the shelf crossing information is retained and the shelf crossing algorithm is executed.

In step S730, the pre-assigned shelf is determined as the target shelf.

For the shelf crossing algorithm of the foregoing step S728, the embodiment of the present invention further provides a flow chart of the shelf crossing algorithm as shown in fig. 8, where the method mainly includes the following steps S802 to S818:

step S802, cross-shelf processing.

In step S804, it is determined whether the number of shelves is 1. If yes, go to step S806; if not, step S812 is performed.

In step S806, it is determined whether the number of cross-shelf products is 1. If yes, go to step S808; if not, go to step S810.

And step S808, obtaining the cross-shelf commodity with the left shelf and the right shelf being long for a meter.

In step S810, the cross-shelf commodity is obtained with a large proportion of the number of the commodities allocated to the left and right shelves.

In step S812, it is determined whether the leftmost shelf allocation linear meter is less than the error value. If yes, go to step S816; if not, go to step S814.

Step S814, determine whether the rightmost shelf-spanning distribution length is less than the error value. If yes, go to step S816; if not, step S818 is performed.

Step S816 releases the shelf.

In step S818, a shelf assignment algorithm is executed.

Considering that the shelf allocation algorithm is allocated according to the finest granularity of each rule, the estimated surface number and the target shelf which are possibly allocated finally are not reasonable, for example, the existing 100 commodities are bound on the shelf a, and 40 commodities are bound on the shelf b, the allocation result is poor in rationality, and in order to avoid the situation as much as possible, the embodiment of the invention also provides an implementation mode for studying and judging the estimated surface number and the target shelf, and the estimated surface number and the target shelf of the to-be-displayed articles can be judged whether to meet the judgment of the preset judgment coefficient, and when the preset judgment coefficient is not met, the estimated surface number or the target shelf of the to-be-displayed articles is adjusted. For easy understanding, refer to a schematic flow chart of a result judging algorithm shown in fig. 9, the method mainly includes the following steps S902 to S916:

and step S902, judging shelf allocation results.

In step S904, it is determined whether the recursion exceeds three levels. If yes, ending; if not, step S906 is performed.

Step S906, it is determined whether there is only one sub-packet. If yes, go to step S902; if not, step S908 is performed.

Step S908, loop the sub-rule.

In step S910, it is determined whether the sub-rule is looped over. If yes, go to step S912; if not, step S908 is performed.

In step S912, it is determined whether or not the shelf is crossed. If so, step S914 is performed.

In step S914, it is determined whether the evaluation coefficient is satisfied. If yes, go to step S916; if not, step S902 is executed.

In step S916, shelves are allocated according to dimensions such as the number of shelf products and the number of shelves in the group.

In one embodiment, the display constraints include one or more of a hierarchy constraint, a bin order constraint and a face position constraint, and the core idea of determining the product display result is: defining variables, establishing constraints and an objective function. Specifically explained is: and abstracting the service requirement into a most value formula, and solving the optimum by utilizing linear programming through constraint conditions. The optimal solution of each step is taken as the input parameter of the next link for repeated convergence and the most value is taken, such as a flow diagram of a calculation engine shown in fig. 10. For ease of understanding, embodiments of the present invention provide an implementation for determining an article display result according to preset display constraints and an estimated face digit, as shown in (a) to (b):

determining the level of the commodity, which can be seen in the following steps a1 to a 2:

a1, defining the level variable of the commodity to be displayed according to the estimated face digit; the candidate level variable value of each level variable includes a first value or a second value, the first value may be 0, and the second value may be 1, where 0 indicates non-compliance and 1 indicates compliance. Illustratively, m surface positions of the commodity s in the nth bin of the l layer are set as a variable X _ s _ l _ n _ m, and the variable is set as X _100_1_1_1, that is, the first surface position of the commodity 100 in the first bin of the first layer, if the result is 0, the commodity cannot be placed, and if the result is 1, the commodity can be placed.

Step a2, determining a hierarchy evaluation function according to the hierarchy constraint and the first weight coefficient corresponding to the hierarchy constraint, and determining a target hierarchy variable value corresponding to each hierarchy variable by using the hierarchy evaluation function. Wherein the target level variable value is used to characterize the shelf level of the item to be displayed in the target shelf. The hierarchical constraints may include: (1) bin number limitation: the bin with a large number of planning surface positions is large; (2) and (3) rule constraint: grouping alignment aggregation constraint, and intra-group aggregation; (3) and (3) restricting the utilization rate of each layer of shelves: the width of the layer is not exceeded, and the layer cannot be empty, accounting for 90% -100%; (4) the commodity surface number of each layer is as same as possible: for the case of only upper and lower rules or no rules; (5) block shape as little as possible: this rule is derived based on display principles and experience. The hierarchy evaluation function may include weight coefficients corresponding to each item of the hierarchy constraint and the hierarchy constraint, so that the candidate hierarchy variable value corresponding to the maximum value of the sum value is determined as the target hierarchy variable value based on the sum value corresponding to when the hierarchy variable is calculated as the different candidate hierarchy variable values.

(II) determining the commodity level, which can be seen in the following steps b 1-b 2:

and b1, defining the bin position variable of the commodity to be displayed according to the estimated face position number. Wherein the candidate bin variable value for each bin variable comprises a third value or a fourth value. The third value may be 0, and the fourth value may be 1. Illustratively, the bin variables include that the nth bin of the commodity s at the l + -1 layer is a variable X _ s _ l _ n, and the variable can be selected to be 0 or 1.

And b2, determining a bin level evaluation function according to the display direction, the bin level sequence constraint and the second weight coefficient corresponding to the bin level sequence constraint, and determining a target bin level variable value corresponding to each bin level variable by using the bin level evaluation function. Wherein the target bin variable value is used to characterize the bin order of the items to be displayed in the target shelf. In the display direction, i.e., horizontal display or vertical display, the bin order constraint may include: (1) bin number restriction: the bin numbers of the same layer cannot be repeated; only one same commodity bin number is provided on the same layer; left and right rules (the left bin is smaller than the right bin); (2) the bin positions are adjacent: the same commodity bins are closely adjacent. The bin evaluation function may include an objective function 1 for vertical placement and an objective function 2 for horizontal placement. Objective function 1 constraint: (a) the commodities in the same group are as close together as possible; (b) and the commodities of the same group on the same layer are continuous. The objective function 2 limits: (1) the smaller the bin number with more sku bins in the group; (b) the smaller the bin number with more sku plan levels in the group is; (c) the sku bin numbers within the group are close to the default sku height order.

(III) determining the commodity level, which can be seen in the following steps c1 to c 2:

and c1, defining the face position variable of the commodity to be displayed according to the estimated face position number. The candidate face variable value of each face variable includes a fifth numerical value or a sixth numerical value, the fifth numerical value may be 0, and the sixth numerical value may be 1. For example, the face-bit variable may be that the commodity s is variable X _ s in m face bits, and the variable may select the values mixFace and maxFace.

And c2, determining a face position evaluation function according to the face position constraint and the third weight coefficient corresponding to the face position constraint, and determining the target face position variable value corresponding to each face position variable by using the face position evaluation function. Wherein the target face level variable value is used for representing the face level position of the article to be displayed in the target shelf. The face position constraint comprises: (1) and (3) rule constraint: grouping alignment aggregation constraint, and intra-group aggregation; (2) the layer has commodities and the commodities of the layer are not all current groups to find all commodities needing to be ahead; (3) the same layer surface positions are equal as much as possible: the relationship of the number of the face bits of the same bin number and the same n is satisfied, and the relationship of the number of the face bits is planned; (4) the occupied linear meters of the commodities with the minimum area number in different groups are the same as much as possible, so that the same width among different groups is ensured; (5) limiting the maximum and minimum face proportion: limiting the maximum and minimum face number; the number of the surface positions is more than 1 as much as possible; (6) and (3) restricting the utilization rate of each layer of shelves: the width of the layer is not exceeded, and the layer cannot be empty, accounting for 90-100 percent. The face evaluation function comprises weight coefficients corresponding to each item face position constraint and the face position constraint, so that the candidate face variable value corresponding to the maximum value of the sum value is determined as the target face variable value based on the corresponding sum value when the face variable is calculated to be different candidate face variable values.

Compared with the manual drawing in the prior art, the article display method provided by the embodiment of the invention has at least the characteristics shown in the following table 1:

TABLE 1

In summary, the article display method provided by the embodiment of the invention has the following characteristics:

a) CPI index: and calculating according to the input-output ratio of the display resources to obtain the display resources serving as an element for calculating the expected face position.

b) Calculating an expected face bit algorithm; a fairness algorithm based on CPI + goods linear meters expects the face bits to be one of the entries of the automatic planogram.

c) A shelf allocation algorithm; a grid-based allocation algorithm splits the items to each individual shelf.

d) The cross-shelf allocation algorithm: a scoring algorithm for result set backtracking is to perform rule backtracking from a new cross-shelf result set (commodities are distributed to two adjacent shelves) and perform shelf distribution on the commodities across the shelf.

e) Linear programming-defining variables, establishing constraints and abstracting expressions; the core implementation of automatic graph displaying.

With respect to the article display method provided by the foregoing embodiment, an embodiment of the present invention further provides an article display apparatus, and referring to a schematic structural diagram of an article display apparatus shown in fig. 11, the apparatus mainly includes the following parts:

an obtaining module 1102, configured to obtain article information of an article to be displayed and a preset display rule tree;

the goods shelf determining module 1104 is used for determining the estimated number of the surfaces of the goods to be displayed and a target goods shelf according to the goods information and the display rule tree;

a result determining module 1106, configured to determine an article display result according to a preset display constraint and the estimated face position number; wherein the product display result comprises one or more of shelf level, bin order and face position of the product to be displayed in the target shelf.

The article display device provided by the embodiment of the invention can determine the estimated face number and the target shelf according to the article information and the display rule tree, and determine the article display result by combining the display constraint on the basis.

In one embodiment, the apparatus further includes a rule transformation module configured to: creating display rules in response to a rule creation operation acting on the graphical user interface; responding to attribute configuration operation aiming at the display rule, and determining the display attribute corresponding to the display rule; converting the display rule into a tree structure to obtain a display rule tree; wherein, each node of the display rule tree corresponds to a display attribute.

In one embodiment, the shelf determination module 1104 is further configured to: establishing an association relation between the article information of the articles to be displayed and each node according to the display attribute corresponding to each node in the display rule tree; the article information at least comprises article attributes and article indexes, and the article attributes at least comprise article sizes; carrying out gridding processing on the shelf model corresponding to the candidate shelf to determine the total linear meter corresponding to the candidate shelf; and determining the estimated face number and the target shelf of the to-be-displayed article based on the incidence relation and the total linear meter of each node in the display rule tree.

In one embodiment, the shelf determination module 1104 is further configured to: the recursive display rule tree judges whether the nodes in the display rule tree meet face position calculation conditions or not according to the incidence relation of each node in the display rule tree; if so, allocating the current linear meter for each article to be displayed based on the article size and the article index of each article to be displayed associated with the node; determining the remaining linear meters of the candidate shelf based on the current linear meter and the total linear meter corresponding to each article to be displayed; if the remaining linear meters are larger than the first linear meter threshold value, increasing the current linear meters of each item to be displayed based on the item size and the item index of each item to be displayed associated with the node until the remaining linear meters are smaller than or equal to the first linear meter threshold value; determining the current linear meter of each article to be displayed as the estimated face number of each article to be displayed when the remaining linear meters are less than or equal to the preset linear meter threshold value; wherein, the face position calculation condition at least comprises: the nodes are terminal nodes, or the nodes are not terminal nodes, the articles to be displayed associated with the nodes are displayed according to the appointed display direction, the shelves are not appointed for the articles to be displayed associated with the nodes, and the articles to be displayed associated with the nodes do not belong to the same article group, or the nodes are not terminal nodes, the articles to be displayed associated with the nodes are displayed according to the unspecified display direction, the shelves are appointed for the articles to be displayed associated with the nodes, and the articles to be displayed associated with the nodes do not belong to the same article group.

In one embodiment, the shelf determination module 1104 is further configured to: calculating the average quantity of the items of each shelf level in the candidate shelves according to the total linear meters; the recursive display rule tree judges whether the nodes in the display rule tree meet the shelf binding condition or not according to the incidence relation of each node in the display rule tree; if so, determining a pre-allocated shelf for each item to be displayed associated with the node from the candidate shelves; judging whether the nodes execute shelf crossing processing or not according to the average article quantity; if the node does not perform cross-shelf processing, the pre-allocation of each item to be displayed is obtained and determined as the target shelf of each item to be displayed.

In one embodiment, the shelf determination module 1104 is further configured to: determining a cross-shelf item from the items to be displayed associated with the node if the node performs cross-shelf processing; judging whether the number of the goods crossing shelves is 1 or not; if yes, determining a target shelf of the cross-shelf goods from the other candidate shelves according to the remaining linear meters of the other candidate shelves except the pre-distribution shelf; if not, determining target shelves of the cross-shelf items from the other candidate shelves according to the distribution linear meters of the other candidate shelves except the pre-distribution shelf and the second linear meter threshold value.

In one embodiment, the shelf determination module 1104 is further configured to: judging whether the estimated surface number of the to-be-displayed article and the target shelf meet the preset judgment coefficient; if not, adjusting the estimated number of the surface of the article to be displayed or the target shelf.

In one embodiment, the display constraints include one or more of a hierarchy constraint, a bin order constraint, and a face position constraint; the result determination module 1106 is further configured to: defining the level variable of the commodity to be displayed according to the estimated face digit; wherein the candidate level variable value of each level variable comprises a first value or a second value; determining a hierarchy evaluation function according to the hierarchy constraint and a first weight coefficient corresponding to the hierarchy constraint, and determining a target hierarchy variable value corresponding to each hierarchy variable by using the hierarchy evaluation function; the target level variable value is used for representing the shelf level of the goods to be displayed in the target shelf; or defining the bin position variable of the commodity to be displayed according to the estimated face position number; wherein the candidate bin variable value of each bin variable comprises a third value or a fourth value; determining a bin level evaluation function according to the display direction, the bin level sequence constraint and a second weight coefficient corresponding to the bin level sequence constraint, and determining a target bin level variable value corresponding to each bin level variable by using the bin level evaluation function; the target bin level variable value is used for representing the bin level sequence of the goods to be displayed in the target shelf; or, defining the face position variable of the commodity to be displayed according to the estimated face position number; the candidate face variable value of each face variable comprises a fifth numerical value or a sixth numerical value; determining a face position evaluation function according to the face position constraint and a third weight coefficient corresponding to the face position constraint, and determining a target face position variable value corresponding to each face position variable by using the face position evaluation function; wherein the target face level variable value is used for representing the face level position of the article to be displayed in the target shelf.

The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.

The embodiment of the invention provides a server, which particularly comprises a processor and a memory; the memory has stored thereon a computer program which, when executed by the processor, performs the method of any of the above embodiments.

Fig. 12 is a schematic structural diagram of a server according to an embodiment of the present invention, where the server 100 includes: a processor 120, a memory 121, a bus 122 and a communication interface 123, wherein the processor 120, the communication interface 123 and the memory 121 are connected through the bus 122; the processor 120 is used to execute executable modules, such as computer programs, stored in the memory 121.

The Memory 121 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 123 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like may be used.

The bus 122 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 12, but that does not indicate only one bus or one type of bus.

The memory 121 is configured to store a program, and the processor 120 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 120, or implemented by the processor 120.

The processor 120 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 120. The Processor 120 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 121, and the processor 120 reads the information in the memory 121 and completes the steps of the method in combination with the hardware thereof.

The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the foregoing method embodiment, which is not described herein again.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method of displaying an item, comprising:

acquiring article information of an article to be displayed and a preset display rule tree;

determining the estimated number of the surfaces of the articles to be displayed and a target shelf according to the article information and the display rule tree;

determining an article display result according to preset display constraints and the estimated face position number; wherein the item display result comprises one or more of a shelf level, a bin order, and a face position of the items to be displayed in the target shelf.

2. The method of claim 1, wherein prior to the step of obtaining item information and a preset display rule tree for an item to be displayed, the method further comprises:

creating display rules in response to a rule creation operation acting on the graphical user interface;

responding to attribute configuration operation aiming at the display rule, and determining the display attribute corresponding to the display rule;

converting the display rule into a tree structure to obtain a display rule tree; wherein each node of the display rule tree corresponds to the display attribute.

3. The method of claim 2, wherein the step of determining the estimated number of faces and target shelves for the item to be displayed based on the item information and the display rule tree comprises:

establishing an association relation between the article information of the articles to be displayed and each node according to the display attribute corresponding to each node in the display rule tree; wherein the item information at least comprises an item attribute and an item index, and the item attribute at least comprises an item size;

carrying out gridding processing on a shelf model corresponding to a candidate shelf, and determining the total linear meter corresponding to the candidate shelf;

and determining the estimated face number and the target shelf of the to-be-displayed article based on the incidence relation of each node in the display rule tree and the total linear meter.

4. The method of claim 3, wherein the step of determining the estimated number of faces of the item to be displayed based on the association of each node in the display rule tree and the total linear meters comprises:

recursion is carried out on the display rule tree, and whether the nodes in the display rule tree meet face position calculation conditions or not is judged according to the incidence relation of each node in the display rule tree;

if so, allocating current linear meters for each item to be displayed based on the item size and the item index of each item to be displayed associated with the node;

determining the remaining linear meters of the candidate shelves based on the current linear meter and the total linear meter corresponding to each item to be displayed;

if the remaining linear meters are greater than a first linear meter threshold value, increasing the current linear meter of each item to be displayed based on the item size and item index of each item to be displayed associated with the node until the remaining linear meters are less than or equal to the first linear meter threshold value;

determining the current linear meter of each article to be displayed as the estimated number of the face of each article to be displayed when the remaining linear meters are less than or equal to a preset linear meter threshold value;

wherein the face position calculation condition at least comprises: the node is a terminal node, or the node is not a terminal node, the articles to be displayed associated with the node are displayed according to a specified display direction, the shelves are not specified for the articles to be displayed associated with the node, and the articles to be displayed associated with the node do not belong to the same article group, or the node is not a terminal node, the articles to be displayed associated with the node are displayed according to a non-specified display direction, the shelves are specified for the articles to be displayed associated with the node, and the articles to be displayed associated with the node do not belong to the same article group.

5. The method of claim 3, wherein the step of determining the target shelf of the item to be displayed based on the association of each node in the display rule tree and the total linear meters comprises:

calculating an average number of items per shelf level in the candidate shelves according to the total linear meters;

recursion is carried out on the display rule tree, and whether the nodes in the display rule tree meet the shelf binding condition or not is judged according to the association relation of each node in the display rule tree;

if so, determining a pre-allocated shelf for each of the items to be displayed associated with the node from the candidate shelves;

judging whether the node executes shelf crossing processing or not according to the average article quantity;

and if the node does not execute the cross-shelf processing, determining the pre-distribution of each item to be displayed as the target shelf of each item to be displayed.

6. The method of claim 5, further comprising:

determining a cross-shelf item from the items to be displayed associated with the node if the node performs the cross-shelf processing;

judging whether the number of the shelf-crossing articles is 1 or not;

if yes, determining a target shelf of the cross-shelf goods from the other candidate shelves according to the remaining linear meters of the other candidate shelves except the pre-distribution shelf;

if not, determining the target shelf of the cross-shelf item from the other candidate shelves according to the distribution linear meters of the other candidate shelves except the pre-distribution shelf and a second linear meter threshold value.

7. The method of claim 1, wherein prior to the step of determining an item display result based on preset display constraints, the estimated number of faces, and the target shelf, the method further comprises:

judging whether the estimated surface number of the to-be-displayed article and the target shelf meet a preset judgment coefficient;

and if not, adjusting the estimated face position number of the article to be displayed or the target shelf.

8. The method of claim 1, wherein the array constraints comprise one or more of hierarchy constraints, bin order constraints, and face position constraints;

the step of determining the product display result according to the preset display constraint and the estimated face number comprises the following steps:

defining a hierarchy variable of the goods to be displayed according to the estimated face position number; wherein the candidate level variable value of each of the level variables comprises a first value or a second value;

determining a hierarchy evaluation function according to the hierarchy constraint and a first weight coefficient corresponding to the hierarchy constraint, and determining a target hierarchy variable value corresponding to each hierarchy variable by using the hierarchy evaluation function; wherein the target level variable value is used to characterize a shelf level of the item to be displayed in the target shelf;

or, defining the bin position variable of the commodity to be displayed according to the estimated face position number; wherein the candidate bin variable value for each bin variable comprises a third value or a fourth value;

determining bin level evaluation functions according to the display direction, the bin level sequence constraints and second weight coefficients corresponding to the bin level sequence constraints, and determining target bin level variable values corresponding to the bin level variables by using the bin level evaluation functions; wherein the target bin variable value is used to characterize a bin order of the items to be displayed in the target shelf;

or, defining the face position variable of the commodity to be displayed according to the estimated face position number; wherein the candidate face variable value of each face variable comprises a fifth numerical value or a sixth numerical value;

determining a face position evaluation function according to the face position constraint and a third weight coefficient corresponding to the face position constraint, and determining a target face position variable value corresponding to each face position variable by using the face position evaluation function; wherein the target face level variable value is used to characterize the face level position of the item to be displayed in the target shelf.

9. An article display apparatus, comprising:

the display system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring article information of articles to be displayed and a preset display rule tree;

the goods shelf determining module is used for determining the estimated number of the surfaces of the goods to be displayed and a target goods shelf according to the goods information and the display rule tree;

the result determining module is used for determining an article display result according to preset display constraints and the estimated face position number; wherein the item display result comprises one or more of a shelf level, a bin order, and a face position of the items to be displayed in the target shelf.

10. A server comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 8.