CN110598934B - Method for recommending shopping routes and related device - Google Patents

Method for recommending shopping routes and related device Download PDF

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CN110598934B
CN110598934B CN201910872354.8A CN201910872354A CN110598934B CN 110598934 B CN110598934 B CN 110598934B CN 201910872354 A CN201910872354 A CN 201910872354A CN 110598934 B CN110598934 B CN 110598934B
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merchant
shopping
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shopping route
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CN110598934A (en
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田元
沈奕杰
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Tencent Technology Shenzhen Co Ltd
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations

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Abstract

The invention provides a method and related equipment for recommending a shopping route, wherein the method comprises the following steps: receiving a shopping route planning request sent by a consumer client, wherein the shopping route planning request comprises a shopping demand list of a target consumer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target consumer needs to purchase; acquiring the current position of a target consumer; determining a target market according to the current position of the target consumer; acquiring merchant information of a target market and layout information of the target market; determining a target merchant according to merchant information of a target market; generating a target shopping route according to the current position of the target consumer, the merchant information of at least one target merchant, the layout information of a target market and a shopping route planning target; the targeted shopping route is sent to the consumer client. Based on the scheme, the consumer can be guided to finish shopping quickly in the shopping place through the target shopping route.

Description

Method for recommending shopping routes and related device
Technical Field
The invention relates to the technical field of computers, in particular to a method for recommending a shopping route and related equipment.
Background
With the development of economy, the living standard of people is greatly improved, and shopping places such as superstores, supermarkets, airport duty-free shops and the like are gradually created. Taking a large-scale market as an example, in the large-scale market, the kinds of commodities placed in the large-scale market are various, and various commodities are distributed in different areas of the large-scale market, when a consumer enters the large-scale market, the consumer needs to search the commodity to be purchased according to the guidance or the mark of the market (such as a shopping guide plate hung at the door of the large-scale market, the elevator opening and the like) due to unfamiliarity with the distribution of the commodities, however, the guidance or the mark of the market often cannot clearly indicate the specific positions of various commodities, and a large amount of time and physical power are consumed in the process of searching the commodities by the consumer, so that the shopping time is too long, and a lot of precious time of the consumer is wasted invisibly.
Therefore, how to guide the consumer to complete shopping quickly in the shopping place becomes a problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention provides a method and a related device for recommending a shopping route, which are used for guiding a consumer to quickly finish shopping in a shopping place.
To achieve the above object, in one aspect, the present application provides a method for recommending a shopping route, comprising:
receiving a shopping route planning request sent by a customer client, wherein the shopping route planning request comprises a shopping demand list of a target customer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target customer needs to purchase;
acquiring the current position of the target consumer;
determining a target market according to the current position of the target consumer;
acquiring merchant information of the target market and layout information of the target market;
determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market;
generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target;
sending the target shopping route to the consumer client.
In yet another aspect, the present application further provides an apparatus for recommending a shopping route, including:
the system comprises a receiving unit, a display unit and a display unit, wherein the receiving unit is used for receiving a shopping route planning request sent by a consumer client, the shopping route planning request comprises a shopping demand list of a target consumer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target consumer needs to purchase;
a first obtaining unit, configured to obtain a current location of the target consumer;
the first determining unit is used for determining a target market according to the current position of the target consumer;
the second acquisition unit is used for acquiring the merchant information of the target market and the layout information of the target market;
the second determining unit is used for determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market;
a shopping route planning unit, configured to generate a target shopping route according to the current location of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall, and the shopping route planning target;
a sending unit for sending the target shopping route to the consumer client.
In another aspect, the present application further provides a server, including:
a processor and a memory;
wherein the processor is configured to execute a program stored in the memory;
the memory is to store a program to at least:
receiving a shopping route planning request sent by a consumer client, wherein the shopping route planning request comprises a shopping demand list of a target consumer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target consumer needs to purchase;
acquiring the current position of the target consumer;
determining a target market according to the current position of the target consumer;
acquiring merchant information of the target market and layout information of the target market;
determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market;
generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target;
sending the targeted shopping route to the consumer client.
In yet another aspect, the present application further provides a computer-readable storage medium having stored thereon computer-executable instructions that, when loaded and executed by a processor, implement a method for recommending shopping routes as described above.
Compared with the prior art, the invention provides a method and related equipment for recommending a shopping route, wherein the method comprises the following steps: receiving a shopping route planning request sent by a customer client, wherein the shopping route planning request comprises a shopping demand list of a target customer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target customer needs to purchase; acquiring the current position of the target consumer; determining a target market according to the current position of the target consumer; acquiring merchant information of the target market and layout information of the target market; determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market; generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target; sending the target shopping route to the consumer client. Based on the scheme, the consumer can be guided to finish shopping quickly in the shopping place through the target shopping route.
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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, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a block diagram of a system for recommending shopping routes according to an embodiment of the present invention;
FIG. 2 is an alternative structure diagram of the system for recommending shopping routes according to the embodiment of the present invention applied to a blockchain system;
FIG. 3 is an alternative block structure according to an embodiment of the present invention;
FIG. 4 is a flow chart of a method for recommending a shopping route provided by an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating an application of a method for recommending a shopping route according to an embodiment of the present invention;
FIG. 6 is a block diagram of an apparatus for recommending a shopping route according to an embodiment of the present invention;
fig. 7 is a block diagram of a server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
For ease of understanding, the constituent architecture of the system to which the solution of the present application is applied will be described first. For example, referring to FIG. 1, a block diagram of a system for recommending shopping routes according to the present application is shown.
As can be seen from fig. 1, the system for recommending a shopping route includes a terminal device 10, a network 11, and a server 12. The network 11 serves as a medium for providing a communication link between the terminal device 10 and the server 12. Network 11 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others. The terminal device 10 may include a first terminal device and a second terminal device.
The consumer may use the first terminal device 101 to interact with the server 12 via the network 11 to receive or send messages or the like. The first terminal device 101 may have installed thereon a consumer client of the system for recommending a shopping route, and the consumer client may be implemented based on various applications, such as a shopping-type application, a social-type application, and the like. The merchant may use the second terminal device 102 to interact with the server 12 over the network 11 to receive or send messages or the like. The second terminal device 102 may be installed with a merchant client of a system for recommending a shopping route, and the merchant client may be of various types, such as a merchant client, a shopping mall client, and the like. Different merchant roles can use different merchant clients to input different information into the storage device corresponding to the server, for example, a person in a mall management department can use a mall client to input layout information of a mall, such as floor information included in the mall, merchant information included in each floor, position information of each merchant, elevator distribution information, stair distribution information, service counter distribution information, checkout counter distribution information and the like, the merchant can use the merchant client to input merchant information, the merchant information includes commodity information sold by the merchant and consumer density information in the merchant, and the commodity information includes commodity names, commodity inventory, commodity distribution positions, preferential activity information of commodities and the like.
The first terminal apparatus 101 may be hardware or software. When the first terminal device 101 is hardware, it may be various electronic devices, including but not limited to a smart phone, a tablet computer, an ultra-mobile personal computer (UMPC), a netbook, a Personal Digital Assistant (PDA), a laptop computer, and other electronic devices. When the first terminal apparatus 101 is software, it can be installed in the electronic apparatuses listed above. It may be implemented as a plurality of software or software modules (for example to provide distributed services) or as a single software or software module. The embodiment of the application does not set any limit to the specific type of the electronic device.
The second terminal device 102 may be hardware or software. When the second terminal device 102 is hardware, it can be various electronic devices, including but not limited to a smart phone, a tablet computer, an ultra-mobile personal computer (UMPC), a netbook, a Personal Digital Assistant (PDA), a laptop computer, a desktop computer, and other electronic devices. When the second terminal apparatus 102 is software, it can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. The embodiment of the application does not set any limit to the specific type of the electronic device.
The server 12 may be a server that provides various services, such as a backend server that provides support to the terminal device 10. The background server can respond to receiving the shopping demand list and the shopping route planning target sent by the first terminal device, respond to receiving the market information and the merchant information sent by the second terminal device, analyze and process the shopping demand list and the shopping route planning target sent by the first terminal device, and the market information and the merchant information sent by the second terminal device to obtain a processing result (for example, a shopping route to be recommended), and return the processing result to the first terminal device.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be noted that the method for recommending a shopping route provided in the embodiment of the present application is generally executed by the server 12, and accordingly, the device for recommending a shopping route is generally disposed in the server 12.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for an implementation.
Fig. 1 shows an alternative structure diagram of the system for recommending a shopping route, which is applied To a blockchain system, and referring To fig. 2, fig. 2 is an optional structural diagram of the system for recommending a shopping route, which is provided by the embodiment of the present invention, and is formed by a plurality of nodes (any type of computing device in an access network, such as a server and a user terminal) and a client, a Peer-To-Peer (P2P) network is formed between the nodes, and the P2P Protocol is an application layer Protocol running on top of a Transmission Control Protocol (TCP). In the system for recommending a shopping route, any machine such as a server, a terminal can join to become a node, and the node comprises a hardware layer, a middle layer, an operating system layer and an application layer.
Referring to the functions of each node in the blockchain system shown in fig. 2, the functions involved include:
1) Routing, a basic function that a node has, is used to support communication between nodes.
Besides the routing function, the node may also have the following functions:
2) The application is used for being deployed in a block chain, realizing specific services according to actual service requirements, recording data related to the realization functions to form recording data, carrying a digital signature in the recording data to represent a source of task data, and sending the recording data to other nodes in the block chain system, so that the other nodes add the recording data to a temporary block when the source and integrity of the recording data are verified successfully.
For example, the services implemented by the application include:
2.1 Wallet) for providing functions of transaction of electronic money, including initiating transaction (i.e. sending transaction record of current transaction to other nodes in the blockchain system, and storing record data of transaction into temporary blocks of blockchain as response of confirming transaction is valid after other nodes successfully verify; of course, the wallet also supports querying for remaining electronic money in the electronic money address;
2.2 Shared account book) is used for providing functions of operations such as storage, query and modification of account data, record data of the operations on the account data are sent to other nodes in the block chain system, and after the other nodes verify that the record data are valid, the record data are stored in a temporary block as a response for acknowledging that the account data are valid, and confirmation can be sent to the node initiating the operations.
2.3 Smart contracts, computerized agreements) that can enforce the terms of a contract, implemented by code deployed on a shared ledger for execution when certain conditions are met, for completing automated transactions according to actual business requirement code, e.g. querying the logistics status of goods purchased by a buyer, transferring the buyer's electronic money to the merchant's address after the buyer signs for goods; of course, intelligent contracts are not limited to executing contracts for trading, but may also execute contracts that process received information.
3) And the Block chain comprises a series of blocks (blocks) which are mutually connected according to the generated chronological order, new blocks cannot be removed once being added into the Block chain, and the blocks record the record data submitted by the nodes in the Block chain system.
Referring to fig. 3, fig. 3 is an optional schematic diagram of a Block Structure (Block Structure) according to an embodiment of the present invention, where each Block includes a hash value of a transaction record stored in the Block (hash value of the Block) and a hash value of a previous Block, and the blocks are connected by the hash values to form a Block chain. The block may include information such as a time stamp at the time of block generation. A block chain (Blockchain), which is essentially a decentralized database, is a string of data blocks associated by using cryptography, and each data block contains related information for verifying the validity (anti-counterfeiting) of the information and generating a next block.
Based on the system for recommending a shopping route shown in fig. 1, a method for recommending a shopping route provided by an embodiment of the present invention is described below in the perspective of a server.
Fig. 4 is a flowchart of a method for recommending a shopping route according to an embodiment of the present invention, and referring to fig. 4, the method may include:
s401: receiving a shopping route planning request sent by a customer client, wherein the shopping route planning request comprises a shopping demand list of a target customer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target customer needs to purchase.
In this embodiment, the shopping requirement list of the target consumer is a predetermined list of goods that need to be purchased by the target consumer, which includes at least one goods that the target consumer needs to purchase, such as bread, banana, beef jerky, yogurt, and ashitable eye cream. The shopping route planning aims at the conditions which need to be met by the shopping route expected to be recommended by the target consumer, and the conditions comprise shortest time, shortest route, avoidance of repeated upstairs and downstairs and the like. The target consumer can input at least one commodity needing to be purchased through the consumer client, and the consumer client can generate a shopping demand list of the target consumer and send the generated shopping demand list of the target consumer to the server. In addition, the consumer client can preset a plurality of shopping route planning target options, the target consumer can select one of the shopping route planning target options, and the consumer client can send the shopping route planning target selected by the target consumer to the server. Referring to fig. 5, fig. 5 is a schematic view of an application example of the method for recommending a shopping route according to the present embodiment, in which a page of a consumer client is shown.
S402: and acquiring the current position of the target consumer.
In this embodiment, the current location of the target consumer is the current location of the terminal device installed with the consumer client carried by the target consumer. The terminal equipment can acquire the current position through a positioning module of the terminal equipment and report the position to the server.
S403: and determining a target market according to the current position of the target consumer.
In this embodiment, the mall closest to the current location of the target consumer may be selected as the target mall.
S404: and acquiring the merchant information of the target market and the layout information of the target market.
In this embodiment, the server may obtain, from the storage device corresponding to the server, the merchant information of the target mall and the layout information of the target mall, the merchant information of the target mall may be entered into the storage device by a merchant of the target mall using a merchant client, the merchant information of the target mall includes information of a commodity sold by the merchant and information of density of consumers in the merchant, and the commodity information includes a commodity name, a commodity inventory, a commodity distribution position, discount activity information of the commodity, settlement restriction information of the commodity, and the like. The layout information of the target market can be input into the storage device by a manager of a management department of the target market by using a market client, the layout information of the target market comprises floor information, merchant information included in each floor, position information of each merchant, elevator distribution information, stair distribution information, service counter distribution information, clearing counter distribution information and the like of each floor.
S405: and determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market.
In this embodiment, after obtaining the merchant information of the target mall, the server may determine at least one target merchant matching the at least one product in the target mall according to the merchant information of the target mall. In this embodiment, the at least one target merchant in the target mall matched with the at least one item refers to a merchant selling items including one or more items in the at least one item.
For example, at least one commodity that the target consumer needs to purchase includes the eye cream of ashland indigo, and the commodity sold by the ashland indigo special cabinet in the target market includes the eye cream of ashland indigo, then the ashland indigo special cabinet is at least one target merchant matched with the at least one commodity in the target market.
It should be noted that, when some of the at least one article is sold in a plurality of merchants, in this case, one merchant may be determined as the target merchant. When a merchant is determined as a target merchant, the number of commodities in the commodities sold by each merchant, including the at least one commodity, can be considered, and the merchant with the largest number of commodities in the at least one commodity is selected as the target merchant, so that a consumer can complete the purchase of a plurality of commodities at one merchant, and time can be saved compared with the situation that a plurality of merchants respectively purchase the commodities.
In some optional implementation manners of this embodiment, determining at least one target merchant matching the at least one item in the target mall according to the merchant information of the target mall includes: for one of the at least one item: determining a merchant comprising the commodity as a candidate merchant; when the candidate commercial tenant is one, determining that the candidate commercial tenant is a target commercial tenant matched with the commodity in the target market; and when the candidate merchants are multiple, selecting the merchant with the largest number of commodities in the sold commodities from the candidate merchants as a target merchant.
For example, at least one commodity that a target consumer needs to purchase includes bread, bananas, beef jerky and yogurt, and the commodities sold in the xx bakery and the xx supermarket in the target market include bread, but the commodities sold in the xx supermarket also include bananas, beef jerky and yogurt, and then the xx supermarket is selected as a target merchant matching the at least one commodity.
S406: and generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target.
In this embodiment, a target shopping route may be generated by using a preset path planning algorithm according to the current location of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall, and the shopping route planning target. The preset path planning algorithm can be any one or more of Dijkstra algorithm, bellman-Ford algorithm, johnson algorithm, floyd-Warshall algorithm, SPFA algorithm and A search algorithm.
S407: sending the targeted shopping route to the consumer client.
In this embodiment, after the target shopping route is generated, the target shopping route may be sent to a consumer client, where the consumer client includes a navigation module, and the navigation module may navigate a target consumer based on the target shopping route. Referring to FIG. 5, FIG. 5 illustrates a navigation page of the consumer client in which a targeted shopping route (not shown in FIG. 5) may be presented.
The embodiment provides a method for recommending a shopping route, which comprises the following steps: receiving a shopping route planning request sent by a consumer client, wherein the shopping route planning request comprises a shopping demand list of a target consumer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target consumer needs to purchase; acquiring the current position of the target consumer; determining a target market according to the current position of the target consumer; acquiring merchant information of the target market and layout information of the target market; determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market; generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target; sending the target shopping route to the consumer client. Based on the scheme, the consumer can be guided to finish shopping quickly in the shopping place through the target shopping route.
In some optional implementations of the various embodiments of the method for recommending a shopping route provided by the present application, the generating a target shopping route according to the current location of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall, and the shopping route planning target includes:
and taking the current position of the target consumer as a starting point, taking the position of the at least one target merchant as a passing point, combining merchant information of the at least one target merchant and layout information of the target market, and connecting the starting point and the passing point according to the shopping route planning target to generate a target shopping route, wherein the shopping route planning target comprises any one of shortest time, shortest route and repeated going upstairs and downstairs as far as possible.
In some optional implementations of various embodiments of the method for recommending a shopping route provided by the present application, the generating a target shopping route according to the shopping route planning target and connecting the starting point and the passing point by combining the merchant information of the at least one target merchant and the layout information of the target mall includes:
obtaining inventory information of the at least one commodity sold by the at least one target merchant, and/or settlement restriction information of the commodity sold by the at least one target merchant, and/or consumer density information in the at least one target merchant;
and generating a target shopping route according to the shopping route planning target to connect the starting point and the passing point in combination with the commodity inventory information in the at least one commodity sold by the at least one target merchant and/or the settlement limit information of the commodity sold by the at least one target merchant and/or the consumer density information in the at least one target merchant and the layout information of the target shopping mall.
For example, some merchants with higher consumer density may be connected behind merchants with lower consumer density, and some merchants with fewer inventory may be connected in front of merchants with higher inventory.
In some optional implementations of various embodiments of the method for recommending shopping routes provided herein, after the sending the targeted shopping route to the consumer client, the method further comprises:
receiving a shopping route updating instruction sent by a customer client, wherein the shopping route updating instruction is used for indicating the shopping demand list and/or the shopping route planning target is changed;
in response to the shopping route updating instruction, updating the target shopping route according to the changed shopping demand list and/or the shopping route planning target;
and sending the updated target shopping route to the customer client.
It should be noted that the shopping demand list may be changed by adding or deleting the commodity information.
In some optional implementations of various embodiments of the method for recommending shopping routes provided herein, after the sending the targeted shopping route to the consumer client, the method further comprises:
receiving a merchant information updating instruction sent by a merchant client, wherein the merchant information updating instruction is used for indicating the commodity inventory information in the at least one commodity sold by the at least one target merchant, and/or the settlement limiting information of the commodity in the at least one commodity sold by the at least one target merchant, and/or the consumer density information in the at least one target merchant changes;
in response to a merchant information updating request instruction, updating the target shopping route according to changed commodity inventory information in the at least one commodity sold by the at least one target merchant and/or settlement limit information of the commodity sold by the at least one target merchant and/or consumer density information in the at least one target merchant;
and sending the updated target shopping route to the customer client.
The apparatus for recommending a shopping route according to an embodiment of the present invention is described below, and the apparatus for recommending a shopping route described below may be referred to in correspondence with the method for recommending a shopping route.
Fig. 6 is a block diagram of a structure of an apparatus for recommending a shopping route according to an embodiment of the present invention, where the counting apparatus may specifically be a server, and referring to fig. 6, the apparatus may include:
the system comprises a receiving unit 61, a shopping route planning unit and a display unit, wherein the receiving unit 61 is used for receiving a shopping route planning request sent by a customer client, the shopping route planning request comprises a shopping demand list of a target customer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target customer needs to purchase;
a first obtaining unit 62, configured to obtain a current location of the target consumer;
a first determining unit 63, configured to determine a target mall according to the current location of the target consumer;
a second obtaining unit 64, configured to obtain merchant information of the target mall and layout information of the target mall;
a second determining unit 65, configured to determine, according to the merchant information of the target shopping mall, at least one target merchant matching the at least one item in the target shopping mall;
a shopping route planning unit 66, configured to generate a target shopping route according to the current location of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall, and the shopping route planning target;
a sending unit 67 for sending the target shopping route to the consumer client.
In some optional implementation manners of this embodiment, the second determining unit is specifically configured to:
for one of the at least one item:
determining a merchant comprising the commodity as a candidate merchant;
when the candidate commercial tenant is one, determining that the candidate commercial tenant is a target commercial tenant matched with the commodity in the target market;
and when the candidate merchants are multiple, selecting the merchant with the largest number of commodities in the sold commodities from the candidate merchants as a target merchant.
In some optional implementations of this embodiment, the shopping route planning unit is specifically configured to:
and taking the current position of the target consumer as a starting point, taking the position of the at least one target merchant as a passing point, combining merchant information of the at least one target merchant and layout information of the target market, and connecting the starting point and the passing point according to the shopping route planning target to generate a target shopping route, wherein the shopping route planning target comprises any one of shortest time, shortest route and repeated going upstairs and downstairs as far as possible.
In some optional implementations of this embodiment, the shopping route planning unit is specifically configured to:
acquiring commodity inventory information in the at least one commodity sold by the at least one target merchant, and/or settlement limit information of the commodity sold by the at least one target merchant, and/or consumer density information in the at least one target merchant;
and generating a target shopping route according to the shopping route planning target to connect the starting point and the passing point in combination with the commodity inventory information in the at least one commodity sold by the at least one target merchant and/or the settlement limit information of the commodity sold by the at least one target merchant and/or the consumer density information in the at least one target merchant and the layout information of the target shopping mall.
In some optional implementations of this embodiment, the apparatus further includes:
a first shopping route updating unit, configured to receive a shopping route updating instruction sent by a consumer client after the target shopping route is sent to the consumer client, where the shopping route updating instruction is used to indicate the shopping requirement list and/or the shopping route planning target changes; in response to the shopping route updating instruction, updating the target shopping route according to the changed shopping demand list and/or the shopping route planning target; and sending the updated target shopping route to the customer client.
In some optional implementations of this embodiment, the apparatus further includes:
a second shopping route updating unit, configured to receive a merchant information updating instruction sent by a merchant client after the target shopping route is sent to the consumer client, where the merchant information updating instruction is used to indicate that the at least one item sold by the at least one target merchant is the item inventory information, and/or the settlement limit information of the item sold by the at least one target merchant is the item sold by the at least one target merchant, and/or the consumer density information in the at least one target merchant changes; in response to a merchant information updating request instruction, updating the target shopping route according to changed commodity inventory information in the at least one commodity sold by the at least one target merchant and/or settlement limit information of the commodity sold by the at least one target merchant and/or consumer density information in the at least one target merchant; and sending the updated target shopping route to the customer client.
It should be noted that specific function implementation of each unit is described in detail in the foregoing embodiment, and this embodiment is not described again.
On the other hand, the present application also provides a server, as shown in fig. 7, which shows a schematic structural diagram of the server of the present application, and the server 1100 of this embodiment may include: a processor 1101 and a memory 1102.
Optionally, the server may further comprise a communication interface 1103, an input unit 1104 and a display 1105 and a communication bus 1106.
The processor 1101, the memory 1102, the communication interface 1103, the input unit 1104, and the display 1105 all communicate with each other via a communication bus 1106.
In this embodiment, the processor 1101 may be a Central Processing Unit (CPU), an asic (application specific integrated circuit), a digital signal processor, an off-the-shelf programmable gate array or other programmable logic device.
The processor may call a program stored in the memory 1102. In particular, the processor may perform the operations performed by the server in an embodiment of the method for recommending shopping routes.
The memory 1102 is used for storing one or more programs, which may include program codes including computer operation instructions, and in this embodiment, the memory stores at least the programs for implementing the following functions:
receiving a shopping route planning request sent by a customer client, wherein the shopping route planning request comprises a shopping demand list of a target customer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target customer needs to purchase;
acquiring the current position of the target consumer;
determining a target market according to the current position of the target consumer;
acquiring merchant information of the target market and layout information of the target market;
determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market;
generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target;
sending the targeted shopping route to the consumer client.
In one possible implementation, the memory 1102 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs required for at least one function (such as an image playing function, etc.), and the like; the storage data area may store data created during use of the computer, such as user data, user access data, as well as audio, video, image data, and the like.
Further, the memory 1102 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device or other volatile solid-state storage device.
The communication interface 1103 may be an interface of a communication module, such as an interface of a GSM module.
The present application may also include a display 1104 and an input unit 1105, and the like.
Of course, the structure of the server shown in fig. 7 does not constitute a limitation on the server in the embodiment of the present application, and the server may include more or less components than those shown in fig. 7 in practical applications, or some components may be combined.
In another aspect, the present application further provides a computer-readable storage medium, where computer-executable instructions are stored, and when being loaded and executed by a processor, the computer-readable storage medium implements the method for recommending a shopping route, which is performed by a server according to any one of the above embodiments.
It should be noted that, in this specification, each embodiment is described in a progressive manner, and each embodiment focuses on differences from other embodiments, and portions that are the same as and similar to each other in each embodiment may be referred to. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.

Claims (9)

1. A method for recommending a shopping route, comprising:
receiving a shopping route planning request sent by a customer client, wherein the shopping route planning request comprises a shopping demand list of a target customer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target customer needs to purchase; the shopping route planning objective includes: repeat upstairs and downstairs are avoided as much as possible;
acquiring the current position of the target consumer;
determining a target market according to the current position of the target consumer;
acquiring merchant information of the target market and layout information of the target market;
determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market, including: aiming at one commodity in the at least one commodity, determining a merchant comprising the one commodity in the sold commodity as a candidate merchant, and when the candidate merchants are multiple, selecting the merchant comprising the largest number of commodities in the at least one commodity in the sold commodity as a target merchant so that a consumer can complete the purchase of multiple commodities at one merchant;
generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target;
sending the target shopping route to the consumer client;
receiving a shopping route updating instruction sent by a customer client, wherein the shopping route updating instruction is used for indicating the shopping demand list and/or the shopping route planning target is changed; the shopping demand list is changed, including adding commodity information or deleting commodity information;
in response to the shopping route updating instruction, updating the target shopping route according to the changed shopping demand list and/or the shopping route planning target;
and sending the updated target shopping route to the customer client.
2. The method of claim 1, wherein determining at least one target merchant in the target mall that matches the at least one item according to merchant information of the target mall, further comprises:
and when the candidate commercial tenant is one, determining that the candidate commercial tenant is a target commercial tenant matched with the commodity in the target market.
3. The method of claim 1, wherein generating a target shopping route based on the current location of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall, and the shopping route planning target comprises:
and taking the current position of the target consumer as a starting point, taking the position of the at least one target merchant as a passing point, combining the merchant information of the at least one target merchant and the layout information of the target market, and connecting the starting point and the passing point according to the shopping route planning target to generate a target shopping route, wherein the shopping route planning target further comprises any one of the shortest time and the shortest route.
4. The method of claim 3, wherein the generating a target shopping route according to the target of the shopping route planning target to connect the starting point and the passing point by combining the merchant information of the at least one target merchant and the layout information of the target mall comprises:
acquiring commodity inventory information in the at least one commodity sold by the at least one target merchant, and/or settlement limit information of the commodity sold by the at least one target merchant, and/or consumer density information in the at least one target merchant;
and generating a target shopping route according to the shopping route planning target, wherein the target shopping route is connected with the starting point and the passing point in combination with the commodity inventory information of the at least one commodity sold by the at least one target merchant, and/or the settlement limit information of the commodity sold by the at least one target merchant, and/or the consumer density information in the at least one target merchant and the layout information of the target shopping mall.
5. The method of claim 4, wherein after the sending the targeted shopping route to the consumer client, the method further comprises:
receiving a merchant information updating instruction sent by a merchant client, wherein the merchant information updating instruction is used for indicating the commodity inventory information in the at least one commodity sold by the at least one target merchant, and/or the settlement limit information of the commodity sold by the at least one target merchant, and/or the consumer density information in the at least one target merchant is changed;
in response to the merchant information updating request instruction, updating the target shopping route according to the changed commodity inventory information in the at least one commodity sold by the at least one target merchant, and/or the settlement limiting information of the commodity in the at least one commodity sold by the at least one target merchant, and/or the consumer density information in the at least one target merchant;
and sending the updated target shopping route to the customer client.
6. The method according to any one of claims 1 to 5, characterized in that the execution subject of the method is one node in a block chain.
7. An apparatus for recommending a shopping route, comprising:
the system comprises a receiving unit, a processing unit and a display unit, wherein the receiving unit is used for receiving a shopping route planning request sent by a consumer client, the shopping route planning request comprises a shopping demand list of a target consumer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target consumer needs to purchase; the shopping route planning objective includes: repeat upstairs and downstairs are avoided as much as possible;
a first obtaining unit, configured to obtain a current location of the target consumer;
the first determining unit is used for determining a target market according to the current position of the target consumer;
the second acquisition unit is used for acquiring the merchant information of the target market and the layout information of the target market;
the second determining unit is configured to determine, according to the merchant information of the target mall, at least one target merchant matching the at least one item in the target mall, and includes: for one commodity in the at least one commodity, determining a merchant comprising the one commodity in the sold commodity as a candidate merchant, and when the candidate merchants are multiple, selecting the merchant comprising the largest number of commodities in the at least one commodity in the sold commodity as a target merchant so that a consumer can complete the purchase of multiple commodities at one merchant;
a shopping route planning unit, configured to generate a target shopping route according to the current location of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall, and the shopping route planning target;
a sending unit for sending the target shopping route to the consumer client;
the first shopping route updating unit is used for receiving a shopping route updating instruction sent by a customer client, and the shopping route updating instruction is used for indicating the shopping demand list and/or the shopping route planning target is changed; the shopping demand list is changed, including adding commodity information or deleting commodity information; in response to the shopping route updating instruction, updating the target shopping route according to the changed shopping demand list and/or the shopping route planning target; and sending the updated target shopping route to the customer client.
8. A server, comprising:
a processor and a memory;
wherein the processor is configured to execute a program stored in the memory;
the memory is for storing a program for at least:
receiving a shopping route planning request sent by a consumer client, wherein the shopping route planning request comprises a shopping demand list of a target consumer and a shopping route planning target, and the shopping demand list comprises at least one commodity which the target consumer needs to purchase; the shopping route planning objective includes: repeated upstairs and downstairs are avoided as much as possible;
acquiring the current position of the target consumer;
determining a target market according to the current position of the target consumer;
acquiring merchant information of the target market and layout information of the target market;
determining at least one target merchant matched with the at least one commodity in the target market according to the merchant information of the target market, wherein the method comprises the following steps: for one commodity in the at least one commodity, determining a merchant comprising the one commodity in the sold commodity as a candidate merchant, and when the candidate merchants are multiple, selecting the merchant comprising the largest number of commodities in the at least one commodity in the sold commodity as a target merchant so that a consumer can complete the purchase of multiple commodities at one merchant;
generating a target shopping route according to the current position of the target consumer, the merchant information of the at least one target merchant, the layout information of the target mall and the shopping route planning target;
sending the targeted shopping route to the consumer client;
receiving a shopping route updating instruction sent by a customer client, wherein the shopping route updating instruction is used for indicating the shopping demand list and/or the shopping route planning target is changed; the shopping demand list is changed, including adding commodity information or deleting commodity information;
in response to the shopping route updating instruction, updating the target shopping route according to the changed shopping demand list and/or the shopping route planning target;
and sending the updated target shopping route to the customer client.
9. A computer-readable storage medium having stored thereon computer-executable instructions which, when loaded and executed by a processor, carry out a method for recommending shopping routes according to any of claims 1 to 6.
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