CN110851717A - Method, device and medium for recommending mini bin - Google Patents
Method, device and medium for recommending mini bin Download PDFInfo
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Abstract
The invention relates to a method, equipment and a medium for recommending mini bins, which comprises the steps of obtaining the current position of a user through communication connection established between the mini bins and a mini bin booking system in advance; acquiring a candidate website set according to the website information matched with the current position of the user; the storage data corresponding to each candidate mini bin in the candidate website set is checked through a reservation interface of a communication connection mini bin reservation system; screening candidate mini bin positions according to the warehousing data to generate a mini bin position recommendation result; and feeding back the recommended mini bin contained in the mini bin recommendation result. Through the scheme, the interested peripheral bin type and bin information are displayed to the user, and the user is helped to select the proper warehousing position and warehousing type.
Description
Technical Field
The invention belongs to the field of intelligent warehousing, and particularly relates to a method, equipment and medium for recommending mini bins.
Background
Along with the development of mobile internet technology, intelligent warehousing under the sharing economy becomes a new logistics form, and the requirement of different demand crowds on warehousing can be greatly met, so that the method is simple, fast and efficient, and the cost of warehousing logistics can be effectively reduced. Most of the existing intelligent warehouses adopt an online operation mode and an offline site mode of the Internet, so that the management cost of the warehouse can be greatly reduced. People can access the online operation interface in the form of internet or mobile network, and can browse the introduction of the corresponding bin type, the information of the rest bins, and the operations of booking, placing orders, settling accounts and the like on the operation interface. However, how to reasonably analyze the operation records of the user and make up the hysteresis defect of the existing warehousing recommendation method to help the user to reasonably select a proper warehousing type becomes one of the technical problems to be solved by the intelligent warehousing industry. Therefore, in long-term research and development, a recommendation method for mini bins is urgently needed to solve the above technical problems.
Disclosure of Invention
In order to solve the problems, the invention provides a method, equipment and a medium for recommending mini bins, which solve the technical problem that the recommendation method in the prior art has hysteresis so as to help a user to reasonably select a proper storage type.
The invention solves the technical problems by the following technical means:
a method of recommendation of mini-bins, the method comprising:
acquiring the current position of a user through communication connection established between the mini bin reservation system and the mini bin reservation system in advance;
acquiring a candidate website set according to the website information matched with the current position of the user;
checking warehousing data corresponding to each candidate mini bin in the candidate website set through a booking interface of the communication connection mini bin booking system;
screening candidate mini bin positions according to the warehousing data to generate a mini bin position recommendation result;
and feeding back the recommended mini bin contained in the mini bin recommendation result.
Preferably, the feedback mini bin recommendation result further includes, after the recommended mini bin included in the feedback mini bin recommendation result:
receiving a mini bin selection result returned by a terminal, wherein the mini bin selection result is generated by the terminal through responding to a mini bin recommendation result and triggering selection operation;
and sending the mini bin selection result to the operation background so that the operation background carries out scheduling arrangement according to the mini bin selection result.
Preferably, the acquiring the website information of the current position of the matched user includes:
positioning the current position of a user, and displaying all the network points covering the current position of the user in a preset area range;
and sequencing the network points covering the current position of the user according to the sequence of the distance from the current position of the user to obtain the network point information matched with the current position of the user.
Preferably, the step of obtaining a candidate website set according to the website information matching the current position of the user includes:
determining a target website set based on the website information matched with the current position of the user;
and acquiring bin use conditions corresponding to all mini bins in the target network point set, and screening network points containing empty mini bins as candidate network points based on the bin use conditions to form the candidate network point set.
Preferably, the obtaining of each candidate mini bin in the candidate mesh points includes: determining each candidate mesh point in the candidate mesh point set, and defining the mini bin contained in each candidate mesh point as a candidate mini bin;
the checking the warehousing data corresponding to each candidate mini bin in the candidate website set comprises: bearing weight of mini-bay, bay price, booking time and bay type. Preferably, the step of screening candidate mini bins according to the warehousing data to generate a mini bin recommendation result includes:
comparing the warehousing data corresponding to each candidate mini bin in the candidate network points with a preset threshold respectively, and determining the mini bins meeting the preset threshold;
and defining the mini bin meeting the preset threshold value as a target bin, and generating a mini bin recommendation result according to the target bin.
Further, the generating of the mini bin recommendation result according to the target bin includes:
defining the warehousing data of the target bin as standard bin data;
calculating a related node ranking value of the standard position data according to the incidence relation between the standard position data and the related nodes;
filtering nodes with the ranking values not meeting requirements to obtain a relevant subgraph of the standard bin data;
constructing an adjacent vector of the target bin by using adjacent objects of the target bin in the related subgraph;
calculating the similarity of the adjacent vectors to obtain recommended related data, and optimizing the current adjacent vector according to the recommended related data to obtain a recommendation engine;
and integrating the relevant subgraphs of the standard bin data and the corresponding recommendation engine to obtain the mini bin recommendation result.
Further, the scheduling arrangement of the operation background according to the mini bin selection result comprises:
distributing mini bin positions by using a centralized distribution principle, or combining bin bodies;
the method of combining a cartridge body comprises: the bin bodies positioned at the corresponding positions of the upper layer and the lower layer are vertically combined or adjacent bin bodies on the same layer are spliced left and right by adopting a mode of extracting the partition plates of the isolation bin positions.
Preferably, the mini-bin reservation system comprises: background scheduling equipment, a reservation interface, mini-bin peripheral infrastructure, access control equipment and map navigation equipment.
Preferably, the feedback mini bin recommendation result further includes, after the recommended mini bin included in the feedback mini bin recommendation result:
receiving a re-recommendation message sent by the terminal according to the mini bin recommendation result, and extracting user demand information from the re-recommendation message;
correcting the mini bin recommendation result according to the extracted user demand information to generate a secondary recommendation result;
and feeding back the recommended mini bin included in the secondary recommendation result to the terminal.
Further, the method further comprises:
re-acquiring the current position of the user, and judging whether the user deviates from the mesh point area range corresponding to the recommended mini bin according to the acquired current position of the user;
if so, sending a destination change request to the terminal, and receiving site change information returned by the terminal in response to the site change request, so as to re-recommend the bin to the terminal according to the site change information.
A mini-bin recommendation device comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of claims 1-8.
A computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of claims 1-8.
The invention has the beneficial effects that:
the invention provides a method, equipment and a medium for recommending mini bins, which solve the technical problem that the recommendation method in the prior art has hysteresis. The scheme of the invention can reasonably recommend at least two storage websites around the user according to the position of the user, the storage types possibly interested by the user in the storage websites, the number of the rest bins corresponding to the storage types and the related policy information, and can help the user to better select the proper mini bins, thereby avoiding the problem of overlong time consumption caused by the fact that the user proposes the predetermined requirement, improving the operation experience of the user on an operation interface, indirectly promoting the user to select the storage websites or select the types and the number of the storages, and optimizing the use efficiency and the management efficiency of the bins in a single website.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a flow chart of an implementation method for a logistics bid trading service provided by the invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to specifically understand the technical solutions provided by the present invention, the technical solutions of the present invention will be described and illustrated in detail in the following examples. It is apparent that the embodiments provided by the present invention are not limited to the specific details familiar to those skilled in the art. The following detailed description of the preferred embodiments of the invention is intended to provide further embodiments of the invention in addition to those described herein.
The invention provides a method for recommending mini bins as shown in fig. 1, which comprises the following steps:
s1, obtaining the current position of the user through the communication connection established between the mini bin reservation system and the mini bin reservation system in advance;
s2, acquiring a candidate website set according to the website information matched with the current position of the user;
s3, checking warehousing data corresponding to each candidate mini bin in the candidate website set through a booking interface of the communication connection mini bin booking system;
s4, screening candidate mini bins according to the warehousing data to generate a mini bin recommendation result;
s5 feeds back the recommended mini bin included in the mini bin recommendation.
The mini-bin reservation system described in step S1 includes a background scheduling device, a reservation interface, a mini-bin peripheral infrastructure, an access control device, a map navigation device, and the like.
In step S2, the acquiring of the website information matching the current location of the user includes:
positioning the current position of a user, and displaying all the network points covering the current position of the user in a preset area range;
and sequencing the network points covering the current position of the user according to the sequence of the distance from the current position of the user to obtain the network point information matched with the current position of the user.
Step S2, according to the network point information of the matching user current position, the step of obtaining the candidate network point set includes:
determining a target website set based on the website information matched with the current position of the user;
and acquiring bin use conditions corresponding to all mini bins in the target network point set, and screening network points containing empty mini bins as candidate network points based on the bin use conditions to form the candidate network point set.
Obtaining each candidate mini bin in the candidate mesh points comprises: determining each candidate mesh point in the candidate mesh point set, and defining the mini bin contained in each candidate mesh point as a candidate mini bin;
in step S3, the checking the warehousing data corresponding to each candidate mini bin in the candidate website set includes: bearing weight of mini-bay, bay price, booking time and bay type. Further, the step of screening candidate mini-bins according to the warehousing data to generate a mini-bin recommendation result comprises:
comparing warehousing data corresponding to each candidate mini bin in the candidate mini network points with a preset threshold respectively, and determining the mini bin meeting the preset threshold;
and defining the mini bin meeting a preset threshold value as a target bin, and generating a mini bin recommendation result according to the target bin.
Wherein, generating the mini bin recommendation result according to the target bin comprises:
defining the warehousing data of the target bin as standard bin data;
calculating a related node ranking value of the standard position data according to the incidence relation between the standard position data and the related nodes;
filtering nodes with the ranking values not meeting requirements to obtain a relevant subgraph of the standard bin data;
constructing an adjacent vector of the target bin by using adjacent objects of the target bin in the related subgraph;
calculating the similarity of adjacent vectors to obtain recommended related data, and optimizing the current adjacent vector according to the recommended related data to obtain a recommendation engine;
and integrating the relevant subgraphs of the standard bin data and the corresponding recommendation engine to obtain the mini bin recommendation result.
In step S5, the feedback of the recommended mini bin included in the mini bin recommendation result further includes:
receiving a mini bin selection result returned by a terminal, wherein the mini bin selection result is generated by the terminal through responding to a mini bin recommendation result and triggering selection operation;
and sending the mini bin selection result to the operation background so that the operation background carries out scheduling arrangement according to the mini bin selection result.
The scheduling arrangement of the operation background according to the mini bin selection result comprises the following steps:
distributing mini bin positions by using a centralized distribution principle, or combining bin bodies; the bin level is divided into: small, medium, large and extra large bins. The method of combining a cartridge body comprises: the bin bodies positioned at the corresponding positions of the upper layer and the lower layer are vertically combined or adjacent bin bodies on the same layer are spliced left and right by adopting a mode of extracting the partition plates of the isolation bin positions.
Further, feeding back the recommended mini bin included in the mini bin recommendation result further includes:
the receiving terminal extracts user demand information from the re-recommendation message according to the re-recommendation message sent by the mini bin recommendation result;
correcting the mini bin recommendation result according to the extracted user demand information to generate a secondary recommendation result;
and feeding back the recommended mini bin included in the secondary recommendation result to the terminal.
In addition, the method for recommending the mini bin provided by the invention further comprises the following steps:
re-acquiring the current position of the user, and judging whether the user deviates from the mesh point area range corresponding to the recommended mini bin according to the acquired current position of the user;
if so, sending a destination change request to the terminal, and receiving site change information returned by the terminal in response to the site change request, so as to re-recommend the bin to the terminal according to the site change information.
The method further comprises the following steps: invoking a social application, and establishing a communication connection between the mini-bin reservation system and the terminal through the invocation of the social application so that the mini-bin reservation system can recommend a mini-bin to the terminal through the communication connection.
Based on the same inventive concept, the invention also provides a recommendation device of the mini bin, which comprises: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method of claims S1-S5.
A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of claims S1-S5.
Example 1: a bin recommendation method is provided, which comprises the following steps:
1. transmitting destination information and a current location of the user to a mini-bin reservation system;
first, the location information of the terminal used by the user needs to be obtained, and as can be seen from the above paragraphs, the terminal used by the user includes various mobile terminals, computers, and the like. The system needs to acquire physical location information from the terminal, for example, the system may call positioning modules such as a GPS module and a beidou module through an APP on the mobile terminal to acquire the location information, or may acquire rough physical location information through a mobile network, a WIFI network, and the like where the mobile terminal is located. If the system can not realize the acquisition of the position information through the terminal, the user needs to realize manual positioning through an operation interface, and corresponding position information is obtained in a manual selection mode.
2. Receiving a mini bin recommendation result returned by the mini bin booking system, wherein the mini bin recommendation result is generated by screening candidate mini bins by the mini bin booking system according to a preset threshold of relevant data corresponding to each candidate mini bin in a candidate website set; the candidate website set is acquired by a mini bin reservation system according to destination information and the current position of the user;
3. and displaying the recommended mini bin in a display interface of the terminal according to the mini bin recommendation result.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting the protection scope thereof, and although the present application is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: numerous variations, modifications, and equivalents will occur to those skilled in the art upon reading the present application and are within the scope of the claims appended hereto.
Claims (10)
1. A method for recommending mini-bins, the method comprising:
acquiring the current position of a user through communication connection established between the mini bin reservation system and the mini bin reservation system in advance;
acquiring a candidate website set according to the website information matched with the current position of the user;
checking warehousing data corresponding to each candidate mini bin in the candidate website set through a booking interface of the communication connection mini bin booking system;
screening candidate mini bin positions according to the warehousing data to generate a mini bin position recommendation result;
and feeding back the recommended mini bin contained in the mini bin recommendation result.
2. The method of claim 1, wherein the feeding back the mini-bin recommendation includes, after the recommended mini-bin, further comprising:
receiving a mini bin selection result returned by a terminal, wherein the mini bin selection result is generated by the terminal through responding to a mini bin recommendation result and triggering selection operation;
sending the mini bin selection result to the operation background so that the operation background carries out scheduling arrangement according to the mini bin selection result;
the scheduling arrangement of the operation background according to the mini bin selection result comprises the following steps:
distributing mini bin positions by using a centralized distribution principle, or combining bin bodies;
the method of combining a cartridge body comprises: the bin bodies positioned at the corresponding positions of the upper layer and the lower layer are vertically combined or adjacent bin bodies on the same layer are spliced left and right by adopting a mode of extracting the partition plates of the isolation bin positions.
3. The method of claim 1, wherein obtaining website information that matches the current location of the user comprises:
positioning the current position of a user, and displaying all the network points covering the current position of the user in a preset area range;
sorting all the network points covering the current position of the user according to the sequence of distance from the current position of the user to obtain the network point information matched with the current position of the user;
the step of acquiring the candidate website set according to the website information matched with the current position of the user comprises the following steps:
determining a target website set based on the website information matched with the current position of the user;
and acquiring bin use conditions corresponding to all mini bins in the target network point set, and screening network points containing empty mini bins as candidate network points based on the bin use conditions to form the candidate network point set.
4. The method of claim 1, wherein obtaining each candidate mini-bin in the candidate mesh points comprises: determining each candidate mesh point in the candidate mesh point set, and defining the mini bin contained in each candidate mesh point as a candidate mini bin;
the checking the warehousing data corresponding to each candidate mini bin in the candidate website set comprises: bearing weight of mini-bay, bay price, booking time and bay type.
5. The method of claim 1, wherein the step of performing a screening of candidate mini-bins based on the warehouse data to generate a mini-bin recommendation comprises:
comparing the warehousing data corresponding to each candidate mini bin in the candidate network points with a preset threshold respectively, and determining the mini bins meeting the preset threshold;
defining the mini bin meeting the preset threshold as a target bin, and generating a mini bin recommendation result according to the target bin;
the generating of the mini bin recommendation result according to the target bin includes:
defining the warehousing data of the target bin as standard bin data;
calculating a related node ranking value of the standard position data according to the incidence relation between the standard position data and the related nodes;
filtering nodes with the ranking values not meeting requirements to obtain a relevant subgraph of the standard bin data;
constructing an adjacent vector of the target bin by using adjacent objects of the target bin in the related subgraph;
calculating the similarity of the adjacent vectors to obtain recommended related data, and optimizing the current adjacent vector according to the recommended related data to obtain a recommendation engine;
and integrating the relevant subgraphs of the standard bin data and the corresponding recommendation engine to obtain the mini bin recommendation result.
6. The method of claim 1, wherein the mini-bin reservation system comprises: background scheduling equipment, a reservation interface, mini-bin peripheral infrastructure, access control equipment and map navigation equipment.
7. The method of claim 1, wherein the feeding back the mini-bin recommendation includes, after the recommended mini-bin, further comprising:
receiving a re-recommendation message sent by the terminal according to the mini bin recommendation result, and extracting user demand information from the re-recommendation message;
correcting the mini bin recommendation result according to the extracted user demand information to generate a secondary recommendation result;
and feeding back the recommended mini bin included in the secondary recommendation result to the terminal.
8. The method of claim 7, wherein the method further comprises:
re-acquiring the current position of the user, and judging whether the user deviates from the mesh point area range corresponding to the recommended mini bin according to the acquired current position of the user;
if so, sending a destination change request to the terminal, and receiving site change information returned by the terminal in response to the site change request, so as to re-recommend the bin to the terminal according to the site change information.
9. A mini-bin recommendation device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of claims 1-8.
10. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of claims 1-8.
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| 李星: "基于地理位置和口碑传播的HC迷你仓营销策略设计及改进建议", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113393004A (en) * | 2021-06-10 | 2021-09-14 | 上海掌小门教育科技有限公司 | Method, device and medium for acquiring seats of study room based on mobile terminal |
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Application publication date: 20200228 |