CN110645984B - Route updating method for mall, electronic device, and computer-readable medium - Google Patents
Route updating method for mall, electronic device, and computer-readable medium Download PDFInfo
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- CN110645984B CN110645984B CN201910915991.9A CN201910915991A CN110645984B CN 110645984 B CN110645984 B CN 110645984B CN 201910915991 A CN201910915991 A CN 201910915991A CN 110645984 B CN110645984 B CN 110645984B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
- G01C21/206—Instruments for performing navigational calculations specially adapted for indoor navigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/005—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 with correlation of navigation data from several sources, e.g. map or contour matching
Abstract
The embodiment of the application discloses a route updating method, electronic equipment and a computer readable medium for a mall. One embodiment of the route updating method for the mall comprises the following steps: providing at least one route to a user entering a mall; acquiring data of a user entering and exiting a store in a mall based on a selected route; the route selected by the user is adjusted based on the data. According to the method and the system for planning the shopping mall route, the mall route map can be automatically designed for the customer, the route map is updated in time according to the interests of the customer, the user is flexibly guided to move in the mall by means of planning of the route, the user is helped to effectively configure time and reasonably plan the route when facing a plurality of shopping resources, the user is helped to shop in a short time, and shopping experience of the user is improved.
Description
Technical Field
The present application relates to the field of computer technology, and in particular, to a route updating method, an electronic device, and a computer readable medium for a mall.
Background
With the high-speed development of economy, the living standard of people is greatly improved, and the scale of a large market or shopping mall is also increased. When a person walks through a shopping mall or shopping mall, the person is easy to lose direction and cannot find a wanted shop.
In addition, even without disorientation, it may occur that excessive time is spent in finding the store because of unfamiliar mall or shopping mall layout. For example, the user now has a store 1, the user wants to visit a nike, and the nike is on store 6. After the user climbs to 6 th floor and walks around the Naak shop, he wants to go to the Addi shop and see it, and the Addi shop is on 1 th floor of the mall. The user then returns from floor 6 to floor 1.
Disclosure of Invention
The embodiment of the application provides a route updating method, electronic equipment and a computer readable medium for a mall.
In a first aspect, some embodiments of the present application provide a route updating method for a mall, applied to a management device of the mall, the method including: providing at least one route to a user entering a mall; acquiring data of a user entering and exiting a store in a mall based on a selected route; the route selected by the user is adjusted based on the data.
In a second aspect, some embodiments of the present application provide a route updating method for a mall, applied to a mobile terminal located in the mall, the method comprising: receiving a first route provided by management equipment of a mall; receiving a second route provided by the management device during the navigation of the user based on the first route, wherein the second route is obtained by the management device through adjustment of the first route based on data of the user entering and exiting a store in the mall during the navigation; the user is navigated based on the second route.
In a third aspect, some embodiments of the present application provide an electronic device, comprising: one or more processors; and a storage device having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the method as described in the first or second aspect.
In a fourth aspect, some embodiments of the application provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method as described in the first or second aspect.
According to the route updating method, the electronic device and the computer readable medium for the mall, provided by the embodiment of the application, at least one route is provided for a user entering the mall, and then the route selected by the user is updated according to the data of the user entering and exiting the mall in the mall by referring to the selected route, so that a mall route map can be automatically designed for a customer, the route map is updated in time according to the interest of the customer, the user is flexibly guided to move in the mall by means of route planning, the user is helped to effectively configure time and reasonably plan the route when facing a plurality of shopping resources, the user is helped to visit the shop needing to be visited in a short time, and the shopping experience of the user is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which some embodiments of the present application may be applied;
FIG. 2 is a flow chart of one embodiment of a route update method for a mall in accordance with the present application;
fig. 3A to 3D are schematic views of an application scenario of a route update method for a mall according to the present application;
FIG. 4 is a flow chart of one embodiment of a route update method for a mall in accordance with the present application;
fig. 5 is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present application.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be noted that, for convenience of description, only the portions related to the present application are shown in the drawings.
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
FIG. 1 illustrates an exemplary system architecture 100 to which an embodiment of a route update method for a mall of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include a mobile terminal 101, a management device 102 of a mall, and a display device 103.
The user may interact with the management device 102 and the display device 103 of the mall using the mobile terminal 101 to receive or send messages or the like. The mobile terminal 101 may have installed thereon various communication client applications such as a navigation-type application, a social application, an instant messaging tool, a browser application, a shopping-type application, a search-type application, a mailbox client, and the like.
The mobile terminal 101 may be hardware or software. When the mobile terminal 101 is hardware, it may be various electronic devices with a display screen including, but not limited to, a smart phone, a tablet computer, a personal digital assistant (Personal Digital Assistant, PDA), and the like. When the mobile terminals 101, 102, 103 are software, they can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., to provide distributed services), or as a single software or software module. The present application is not particularly limited herein.
The management device 102 may be hardware or software. When the management device 102 is hardware, it may be an electronic device that provides support for mall management, including but not limited to a laptop portable computer, desktop computer, and the like. When the management device 102 is software, it can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., to provide distributed services), or as a single software or software module. The present application is not particularly limited herein.
The display device 103 may be various display screens in a mall for displaying routes to customers.
It should be noted that, the route updating method for a mall provided by the embodiment of the present application may be executed by the management device 102 or may be executed by the mobile terminal 101.
It should be understood that the number of mobile terminals, management devices and display devices in fig. 1 is merely illustrative. There may be any suitable number of mobile terminals, management devices and display devices, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a route update method for a mall in accordance with the present application is shown. The route updating method for the mall may be applied to a management device of the mall, and may include the following steps 201 to 203:
step 201, providing at least one route to a user entering a mall.
In this embodiment, an execution subject (e.g., the management device 102 shown in fig. 1) of a route update method for a mall may provide at least one route to a user who enters the mall. For example, the management device 102 of the mall may send multiple routes to the mobile terminal (e.g., mobile terminal 101 shown in fig. 1) of user a entering the mall for selection by user a. Thus, user A may select one of the routes and navigate to the store of the mall according to the selected route.
Here, a mall may refer to a venue comprising several physical stores or stores, including but not limited to: malls, shopping centers, etc.
In this embodiment, the at least one route may be generated by the execution subject based on historical data of stores that the user is shopping, or may be generated by the execution subject using information submitted by the user (for example, information that can embody the intention of the user).
Although it is described above that the at least one route is provided to the user by transmitting the at least one route to the mobile terminal held by the user, the present application is not limited thereto.
In some alternative implementations of this embodiment, the at least one route may also be provided to the user entering the mall by: and displaying the at least one route on a large screen at the entrance of the mall. The advantage of this implementation is that the recommended route can be obtained even if the user does not carry the mobile terminal.
In some optional implementations of this embodiment, the at least one route may be generated by:
first, historical data of users entering and exiting stores in the mall are obtained. For example, cameras are installed at each shop in the mall, and history data of the user entering and exiting the shop can be determined according to images acquired by the cameras. Here, the history data may be data including that the user entered and exited the store in the mall within a preset period of time (e.g., data that the user entered and exited the store in the mall the previous week or month), or may be data including that the user entered and exited the store in the mall before the current time entered the mall (e.g., data that the user entered and exited the store in the mall the day and earlier).
And a second step of selecting at least one store matching the user from a plurality of stores in the mall by using the acquired history data. For example, selecting a store in which the user purchased an item, or selecting a store in which the user has stayed in the store for more than half an hour, etc. Here, a store matching a user may refer to the user being interested in the store, or the store conforming to the user's shopping preferences.
And thirdly, generating at least one route by using the selected at least one shop. For example, one or more routes are generated based on information such as the number of stores selected, the location of the store, the store category, and the current location of the user.
In this implementation, the route is generated using historical data of the user entering and exiting the store in the current mall, so that the generated route more meets the shopping needs of the user.
Alternatively, in the first step, the history data of the user entering and exiting the store in the mall may be obtained as follows: firstly, acquiring identity information submitted by the user through scanning a graphic code provided by the mall, and then acquiring historical data matched with the identity information.
As an example, the mall B is provided with a prompt "scan two-dimensional code, acquire a recommended street route" and a two-dimensional code at a striking position. Thus, after entering the mall B, the user a scans the two-dimensional code provided by the mall B according to the prompt. Therefore, part of personal information (such as a mobile phone number) of the user A can be acquired under the condition that the user A is authorized, and further, historical data matched with the personal information can be acquired.
In the implementation mode, because the identity information provided by the user is adopted for identity matching, more accurate historical data can be obtained, and the accuracy of the generated route can be improved.
Alternatively, in the first step, the history data of the user entering and exiting the store in the mall may be obtained as follows: firstly, acquiring a facial image of a user, then carrying out face recognition on the facial image, determining identity information of the user, and finally, acquiring historical data matched with the determined identity information from a local or remote (e.g. server).
As an example, mall B is provided with a camera at the entrance. When the user A enters the mall B, the camera can acquire the facial image of the user A and conduct face recognition, and the identity information of the user A is determined according to the recognition result, so that the history data matched with the identity information is obtained.
In the implementation mode, the historical data is acquired through face recognition, and the historical data can be matched without acquiring the identity information of the user, so that the problem that the historical data cannot be acquired due to the fact that the user is inconvenient to provide the identity information can be avoided.
Alternatively, in the second step, the above-described history data may include store information (e.g., store name or number) of a user entering the store, time information of entering and exiting the store (e.g., time of entering the store, and time of leaving the store).
Correspondingly, the second step may specifically include:
first, for each store recorded in the history data, a first time period in which the user stays in the store (i.e., a difference between a time point when the user leaves the store and a time point when the user enters the store), a second time period in which the user enters the store last time (e.g., a difference between a current time point and a time point when the user enters the store last time, a difference between a current time point and a time point when the user leaves the store last time, etc.), and a value of interest of the user in the store is determined based on information of the first time period and the second time period. Here, the interest value may be used to characterize the degree to which the user is interested in the store.
Then, at least one of the following is selected from the shops of the mall: at least one store of the history data record (for example, a store that the user has visited last time); at least one store identical to the category of stores having an interest value greater than or equal to the preset value, and at least one store similar to the category of stores having an interest value greater than or equal to the preset value.
As an example, assume that three stores of store a, store B, and store C are recorded in the history. The above-mentioned executionThe line body can respectively determine that the stay time of the user D in each store is t 1 、t 2 And t 3 User D has a time period T since last entering store A to now 1 The time period from the last time of entering store B to the present of user D is T 2 User D has a time period T since last entering store C to now 3 . The user D's interest value in each store can be calculated by the following formula (1):
S＝p 1 ×t+p 2 ×T (1)
wherein S is the interest value of the user to the store, p 1 、p 2 、p 3 And T is the time length of the user staying in the store, and T is the time length from the last time the user enters the store to the current moment.
In general, a longer user dwell time represents a greater user interest in the store, and a higher frequency of user entry into and exit from the store (a smaller duration from the current time) represents a greater user interest in the store. By this implementation, stores of interest to the user can be accurately selected.
Alternatively, in the second step, the above-described history data may include store information (e.g., store name or number) of a user entering a store, time information of entering and exiting the store (e.g., time of entering the store and time of leaving the store), and information of whether or not to shop.
In this implementation, the information of whether the user is shopping in the store may be generated by detecting whether the user is making a payment action in the store. For example, cameras are generally provided at the cashier's desks of a store, and the collected images are recognized to determine whether the user is paying (for example, if the user is recognized to pay cash, swipe a card, scan a two-dimensional code of a cash deposit, etc., the user can be determined to shop at the store).
In addition, information about whether the user is shopping in the store may be determined by comparing whether the items carried before and after the user enters and exits the store are changed. The present application is not particularly limited thereto.
Correspondingly, the second step may specifically include:
first, for each store recorded in the history data, a first time period in which the user stays in the store (i.e., a difference between a time of leaving the store and a time of entering the store), a second time period from a time of last entering the store (e.g., a difference between a current time and a time of last entering the store, a difference between a current time and a time of last leaving the store, etc.), and a value of interest of the user in the store is determined based on the above-described first time period, second time period, and information of whether or not the shopper is three-dimensional. Here, the interest value may be used to characterize the degree to which the user is interested in the store.
Then, at least one of the following is selected from the shops of the mall: at least one store of the history data record (for example, a store that the user has visited last time); at least one store identical to the category of stores having an interest value greater than or equal to the preset value, and at least one store similar to the category of stores having an interest value greater than or equal to the preset value.
Still taking the above example as an example, assume that user D has not purchased an item in stores a and C and purchased an item in store B. The user D's interest value in each store can be calculated by the following formula (2):
S＝p 1 ×t+p 2 ×T+p 3 ×Y (2)
where Y represents whether the user is shopping (e.g., 1 represents shopping, 0 represents non-shopping).
The inventor has made extensive studies to find out whether shopping is more likely to show that the user is interested in the store. Therefore, by this implementation, the store in which the user is interested can be selected more accurately.
Optionally, the third step may specifically include:
first, store information and/or store push information of at least one store selected in the second step is acquired. Here, the store information may include information of a location of the store, a category of the store, etc., and the store push information may include, but is not limited to, advertisement, new products when a season, discount information, etc.
Then, one or more routes are generated according to the number of selected shops, the shop information and/or the shop pushing information and the current position of the user.
In the implementation mode, store information and/or store pushing information are/is contained in the generated route, so that more abundant information can be displayed when a user is navigated, and the user can conveniently and pointedly enter and exit the store.
Although the above implementation describes selecting a store and generating a route based on historical data for the store, the present application is not limited thereto. It should be appreciated that other ways of generating the route may be employed, such as generating a recommended route based on historical data of the user visiting other stores within the mall.
In some optional implementations of this embodiment, the at least one route may be generated by:
first, historical data of users entering and exiting stores in other markets is obtained. For example, the executing entity may obtain, through a server, historical data of the user a entering and exiting the store in the store C (the current store is B).
And secondly, selecting at least one store which is interested by the user from a plurality of stores in the current market by using the acquired historical data. For example, selecting a store similar to a store in which the user purchased the item, or selecting a store similar to a store in which the user has stayed in the store for more than half an hour, and so on.
And thirdly, generating at least one route by using the selected at least one shop. For example, one or more routes are generated based on information such as the number of stores selected, the location of the store, the store category, and the current location of the user.
By acquiring the historical data of the user shopping other markets to select the stores and generate the routes, the interested routes can be recommended to the user when the user enters the market for the first time, so that the use experience of the user is improved, and the problem that the user leaves due to the fact that the route cannot be generated because the historical data of the current market is not available or the recommended route is not interested is avoided.
Step 202, obtaining data of a user entering and exiting a store in a mall based on a selected route.
In this embodiment, after the user selects a route from the at least one route, the user may visit a store in the mall according to an instruction of the selected route. An execution subject (e.g., the management device 102 shown in fig. 1) of the route updating method for a mall may acquire (e.g., acquire in real time or acquire every preset time interval) data of a user entering and exiting a store within the mall under the instruction of the selected route. The data may include information such as the length of time the user remains in the store and/or whether the user is shopping.
Step 203, adjusting the route selected by the user based on the data.
In the present embodiment, the execution subject (e.g., the management device 102 shown in fig. 1) of the route updating method for a mall may adjust the route selected by the user based on the data acquired in step 202.
In some optional implementations of this embodiment, step 203 may specifically include:
first, it is determined whether the user has purchased a store at the present location based on the data obtained in step 202. Alternatively, when the user leaves the store immediately after the data is periodically acquired, it is determined whether the user has made a purchase in the previous store.
Second, if the user has made a purchase in the current store (or the previous store), a store having a different category from the current store (or the previous store) is recommended to the user. For example, the current store is a store of athletic apparel categories, and the user may be recommended a store of forward-looking categories.
And thirdly, updating the route based on the selection of the recommended store by the user.
Generally, after a user purchases an item of a certain category, the user may not purchase the item of the same category, so by recommending stores of other categories to the user, the user time can be saved, and the user experience (especially if there are stores of the same category that have not been entered in the route selected by the user) can be improved.
In some optional implementations of this embodiment, step 203 may specifically further include:
fourth, if the user does not shop at the current store (or the previous store), it is determined whether the time period for the user to stay at the current store (or the previous store) exceeds a preset time period (for example, 30 minutes).
And fifthly, if the stay time of the user in the current store (or the previous store) exceeds the preset time, recommending at least one store which is the same as or similar to the category of the current store to the user. For example, if the current store is a store of sports apparel, the user may continue to be recommended the store of sports apparel.
Sixth, the route is updated based on the user's selection of the recommended store.
If the user stays in the store for a long time but does not shop, it may mean that the user does not find the favorite item, and by recommending the store of the same/similar type to the user, the user is facilitated to find the item to be purchased as soon as possible.
In some optional implementations of this embodiment, the at least one route may be generated by:
first, shopping preference information of a user is acquired. Here, the shopping preference information of the user may be determined based on the historical shopping behavior information of the user, or may be determined based on information submitted by the user.
Then, at least one store matching the shopping preference information is selected from a plurality of stores in the store.
Finally, at least one route is generated using the selected at least one store.
In this implementation, since the shopping preference information of the user is acquired (i.e., the shopping preference of the user can be determined without further data processing of the acquired information), the speed of generating the route can be increased.
Optionally, the route updating method for the mall may further include: based on the data of the user entering and exiting the store in the mall, shopping preference information of the user is updated. Through the implementation mode, shopping preference information of the user can be continuously perfected, and therefore accuracy of the follow-up recommended route can be improved.
In addition, since the execution subject processes the history data of the user going in and out of the store in advance, even when the data amount of the history data is relatively large, the route can be generated relatively quickly.
In the embodiment, after the route is provided for the user entering the mall, the route provided for the user is updated according to the shopping behavior data of the user in the mall, so that the user can find the desired shop, and the user time is saved.
With continued reference to fig. 3A to 3D, one application scenario of the route update method for a mall according to the present application is shown. In this application scenario, first, as shown in fig. 3A, a user 301 enters an XX mall, and scans a two-dimensional code 302 on a screen with a mobile phone according to a prompt of a large screen of the mall, so as to obtain a recommended route. Thereafter, as shown in FIG. 3B, user 301 proceeds to and from the stores of the XX mall in sequence as indicated by selected route 304. Where the marker 303 represents the current location of the user 301. When the user 301 stays in the store 305 for more than 30 minutes and no shopping does occur, a recommendation prompt pops up on the collection screen, recommending the store (such as Li Ning store, nike store, addison store, etc.) of the same kind as the store 305 to the user 301, and the user 301 selects the store 306, as shown in fig. 3C. Finally, as shown in FIG. 3D, the route provided to the user is adjusted according to the store 306 selected by the user so that the user continues to visit the store within the XX mall according to the new route 307.
According to the route updating method for the mall, at least one route is provided for the user entering the mall, and then the route selected by the user is updated according to the data that the user enters and exits the mall through referring to the selected route, so that a mall route map can be automatically designed for the customer, the route map is updated in time according to the interest of the customer, the user is flexibly guided to move in the mall by means of route planning, the user is helped to effectively configure time and reasonably plan the route when facing a plurality of shopping resources, the user is helped to visit the shop needing to be visited in a short time, and shopping experience of the user is improved.
With continued reference to FIG. 4, a flow 400 of one embodiment of a route update method for a mall in accordance with the present application is shown. The route updating method for the mall can be applied to a mobile terminal located in the mall, and can include the following steps 401 to 403:
step 401, a first route provided by a management device of a mall is received.
In this embodiment, when the holding user of the mobile terminal enters the mall, the execution subject of the route updating method for the mall (for example, the mobile terminal 101 shown in fig. 1) may receive the first route provided by the management device (for example, the management device 102 shown in fig. 1) of the mall. Here, the first route may be generated by the management apparatus of the mall based on the history data of the shop being browsed by the user, or may be generated by using information submitted by the user (for example, information capable of embodying the user's intention).
Step 402, during navigation of the user based on the first route, receiving a second route provided by the management device.
In this embodiment, an execution subject (for example, the mobile terminal 101 shown in fig. 1) of the route updating method for a mall may navigate a user according to the first route described above. For example, the user's current location and the first route are displayed on a screen in real time so that the user can enter and exit a store within the mall under the direction of the first route.
During the navigation, the execution body may receive a second route provided by the management device. Here, the second route may be adjusted by the management apparatus to the first route based on data of the user entering and exiting the store in the mall during navigation.
For example, after the user purchases the article in one store, the management apparatus may delete the store (store that the user has not entered) identical/similar to the store category among the stores indicated by the first route, generate the second route, and provide the second route to the mobile terminal.
Step 403, navigating the user based on the second route.
In this embodiment, the execution subject of the route updating method for a mall (e.g., the mobile terminal 101 shown in fig. 1) may continue to navigate the user according to the second route received in step 402.
In some optional implementations of this embodiment, the first route is presented in the mobile terminal in the form of a navigation map. Corresponding to the implementation manner, the route updating method for the mall may further include the steps of:
first, store information and/or store push information of a store for generating the first route provided by a management apparatus of a store is received. Here, the store information may include information of a location of the store, a category of the store, etc., and the store push information may include, but is not limited to, advertisement, new products when a season, discount information, etc.
And displaying store information and/or store pushing information corresponding to the store icon at a preset position of the store icon in the navigation map. For example, store information and/or store push information is presented next to the store icon, or only summary information or titles of the store information and/or store push information are presented, and the user can view details by clicking on the summary information or titles.
In the implementation mode, store information and/or store pushing information of the stores are displayed while navigation routes are displayed, so that richer information can be displayed for the user, and the user can conveniently get in and out of the stores more pertinently.
According to the route updating method for the mall, the user is navigated by receiving the first route provided by the mall, then the second route which is adjusted by the mall according to the data of the shop in the mall and the first route and is received by the mall during navigation, and the user is continuously navigated according to the second route, so that a mall route map can be automatically designed for the customer, the route map is updated in time according to the interest of the customer, the user is flexibly guided to move in the mall by means of route planning, the user can effectively configure time and reasonably plan the route when facing a plurality of shopping resources, the user can visit the shop which needs to be stroked in a short time, and the shopping experience of the user is improved.
Referring now to fig. 5, a schematic diagram of an electronic device (e.g., terminals 101, 102, 103 shown in fig. 1) 500 suitable for use in implementing embodiments of the present application is shown. The electronic device 500 shown in fig. 5 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in fig. 5, the electronic device 500 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 501, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following devices may be connected to the I/O interface 505 in general: input devices 506 including, for example, a touch screen, keys, etc.; an output device 507 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; a storage device 508 including, for example, a memory card or the like; and communication means 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 shows an electronic device 500 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 5 may represent one device or a plurality of devices as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or from the storage means 508, or from the ROM 502. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 501. It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In an embodiment of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. Whereas in embodiments of the present disclosure, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the management device or the mobile terminal; or may exist alone without being assembled into the management device or the mobile terminal. The computer-readable medium carries one or more programs that, when executed by the management device, cause the management device to: providing at least one route to a user entering a mall; acquiring data of a user entering and exiting a store in a mall based on a selected route; the route selected by the user is adjusted based on the data. When the one or more programs described above are executed by the mobile terminal, the mobile terminal is caused to: receiving a first route provided by management equipment of a mall; receiving a second route provided by the management device during the navigation of the user based on the first route, wherein the second route is obtained by the management device through adjustment of the first route based on data of the user entering and exiting a store in the mall during the navigation; the user is navigated based on the second route.
Computer program code for carrying out operations of embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the application referred to in this disclosure is not limited to the specific combination of features described above, but encompasses other embodiments in which features described above or their equivalents may be combined in any way without departing from the spirit of the application. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Claims (12)
1. A route updating method for a mall, applied to a management device of the mall, the method comprising:
providing at least one route to a user entering the mall;
acquiring data of the user entering and exiting the store in the mall based on the selected route;
adjusting the user-selected route based on the data;
wherein the at least one route is generated by:
acquiring historical data of the user entering and exiting a store in the store, wherein the historical data comprises store information of the user entering the store, time information of entering and exiting the store and information of whether shopping is performed;
for each store of the history data record, determining a first time length for the user to stay in the store, a second time length from last entering and exiting the store, and determining an interest value of the user in the store based on the first time length, the second time length and information of shopping or not;
selecting at least one of the following from the plurality of stores:
at least one store having the same category as stores having an interest value greater than or equal to a preset value;
at least one store similar to the category of stores having an interest value greater than or equal to a preset value;
at least one route is generated based on the at least one store.
2. The method of claim 1, wherein the obtaining historical data of the user entering and exiting the store in the mall comprises:
acquiring identity information submitted by the user through scanning a graphic code provided by the mall;
and acquiring historical data matched with the identity information.
3. The method of claim 1, wherein the obtaining historical data of the user entering and exiting the store in the mall comprises:
collecting a facial image of the user;
performing face recognition on the face image, and determining identity information of the user;
and acquiring historical data matched with the identity information.
4. The method of claim 1, wherein said providing at least one route to a user entering said mall comprises:
acquiring historical data of the user entering and exiting stores in other markets;
selecting at least one store of interest to the user from a plurality of stores of a current store based on the historical data;
at least one route is generated based on the at least one store.
5. The method of claim 1, wherein said adjusting said user-selected route based on said data comprises:
determining, based on the data, whether the user has purchased a store;
if the user has purchased the store at the current store, recommending stores with different categories from the current store to the user;
the route is updated based on the user's selection of a recommended store.
6. The method of claim 5, wherein said adjusting said user-selected route based on said data further comprises:
if the user does not shop in the current store, determining whether the stay time of the user in the current store exceeds a preset time;
if the stay time of the user in the current store exceeds the preset time, recommending at least one store which is the same as or similar to the category of the current store to the user;
the route is updated based on the user's selection of a recommended store.
7. The method of claim 1, wherein the at least one route is generated by:
acquiring shopping preference information of the user;
selecting at least one store matching the shopping preference information from a plurality of stores of the mall;
at least one route is generated based on the at least one store.
8. The method of claim 7, wherein the method further comprises:
and updating shopping preference information of the user based on data of the user entering and exiting the store in the mall.
9. A route updating method for a mall, applied to a mobile terminal located in the mall, the method comprising:
receiving a first route provided by a management device of the mall, wherein the first route is a route selected by a user from at least one route provided by the management device of the mall, the at least one route being generated by: acquiring historical data of the user entering and exiting a store in the store, wherein the historical data comprises store information of the user entering the store, time information of entering and exiting the store and information of whether shopping is performed; for each store of the history data record, determining a first time length for the user to stay in the store, a second time length from last entering and exiting the store, and determining an interest value of the user in the store based on the first time length, the second time length and information of shopping or not; selecting at least one of the following from the plurality of stores: at least one store having the same category as stores having an interest value greater than or equal to a preset value; at least one store similar to the category of stores having an interest value greater than or equal to a preset value; generating at least one route based on the at least one store;
receiving a second route provided by the management device during navigation of the user based on the first route, wherein the second route is obtained by the management device through adjustment of the first route based on data of the user entering and exiting a store in the mall during navigation;
and navigating the user based on the second route.
10. The method of claim 9, wherein the first route is presented at the mobile terminal in the form of a navigation map, the method further comprising:
receiving store information and/or store pushing information of stores for generating the first route, which are provided by the management equipment;
displaying store information and/or store pushing information corresponding to the store icon at a preset position of the store icon in the navigation map.
11. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-10.
12. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-10.
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| CN114526751A (en) * | 2021-01-11 | 2022-05-24 | 李高云 | Trajectory movement analysis system based on data visualization |
| CN112992021A (en) * | 2021-03-08 | 2021-06-18 | 合肥工业大学 | Intelligent scenic spot navigation system and use method |
| CN113591017B (en) * | 2021-07-29 | 2024-02-27 | 杭州脸脸会网络技术有限公司 | Method, system, device and readable storage medium for indoor navigation |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682395A (en) * | 2011-03-15 | 2012-09-19 | 微软公司 | Virtual shopping assistance |
| WO2013126763A1 (en) * | 2012-02-22 | 2013-08-29 | Ebay Inc. | Systems and methods for in-vehicle navigated shopping |
| CN104820863A (en) * | 2015-03-27 | 2015-08-05 | 北京智慧图科技有限责任公司 | Consumer portrait generation method and device |
| CN105095987A (en) * | 2015-06-30 | 2015-11-25 | 北京奇虎科技有限公司 | Shopping navigation method, server for shopping navigation and client terminal |
| JP2016177581A (en) * | 2015-03-20 | 2016-10-06 | 株式会社リコー | Information providing system, information processing system, and program |
| CN106803196A (en) * | 2017-01-23 | 2017-06-06 | 努比亚技术有限公司 | The recommendation method and mobile terminal of a kind of retail shop's information |
| CN106937253A (en) * | 2017-04-17 | 2017-07-07 | 上海汇纳信息科技股份有限公司 | A kind of customer's determination methods and system, server |
| CN107665469A (en) * | 2017-09-30 | 2018-02-06 | 广州云移信息科技有限公司 | Information Authentication method and system in a kind of shop |
| CN107687856A (en) * | 2017-08-23 | 2018-02-13 | 长沙稻冰工程技术有限公司 | Air navigation aid, terminal and computer-readable storage medium based on electronic map |
| CN108898103A (en) * | 2018-06-29 | 2018-11-27 | 深圳市宝视达广告控股有限公司 | A kind of acquiring and processing method, device and server to shop consumer information and a kind of storage medium |
| CN109465818A (en) * | 2017-09-08 | 2019-03-15 | 株式会社日立大厦系统 | Robot management system and Method of Commodity Recommendation |
| CN110231026A (en) * | 2019-06-20 | 2019-09-13 | 浙江口碑网络技术有限公司 | In conjunction with the shop route recommendation method and device of location information |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9830638B2 (en) * | 2012-11-30 | 2017-11-28 | At&T Intellectual Property I, L.P. | Managing vendor inventory information and shopping navigation routes based upon shopping list contents |
-
2019
- 2019-09-26 CN CN201910915991.9A patent/CN110645984B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682395A (en) * | 2011-03-15 | 2012-09-19 | 微软公司 | Virtual shopping assistance |
| WO2013126763A1 (en) * | 2012-02-22 | 2013-08-29 | Ebay Inc. | Systems and methods for in-vehicle navigated shopping |
| JP2016177581A (en) * | 2015-03-20 | 2016-10-06 | 株式会社リコー | Information providing system, information processing system, and program |
| CN104820863A (en) * | 2015-03-27 | 2015-08-05 | 北京智慧图科技有限责任公司 | Consumer portrait generation method and device |
| CN105095987A (en) * | 2015-06-30 | 2015-11-25 | 北京奇虎科技有限公司 | Shopping navigation method, server for shopping navigation and client terminal |
| CN106803196A (en) * | 2017-01-23 | 2017-06-06 | 努比亚技术有限公司 | The recommendation method and mobile terminal of a kind of retail shop's information |
| CN106937253A (en) * | 2017-04-17 | 2017-07-07 | 上海汇纳信息科技股份有限公司 | A kind of customer's determination methods and system, server |
| CN107687856A (en) * | 2017-08-23 | 2018-02-13 | 长沙稻冰工程技术有限公司 | Air navigation aid, terminal and computer-readable storage medium based on electronic map |
| CN109465818A (en) * | 2017-09-08 | 2019-03-15 | 株式会社日立大厦系统 | Robot management system and Method of Commodity Recommendation |
| CN107665469A (en) * | 2017-09-30 | 2018-02-06 | 广州云移信息科技有限公司 | Information Authentication method and system in a kind of shop |
| CN108898103A (en) * | 2018-06-29 | 2018-11-27 | 深圳市宝视达广告控股有限公司 | A kind of acquiring and processing method, device and server to shop consumer information and a kind of storage medium |
| CN110231026A (en) * | 2019-06-20 | 2019-09-13 | 浙江口碑网络技术有限公司 | In conjunction with the shop route recommendation method and device of location information |
Non-Patent Citations (2)
| Title |
|---|
| 杨雪 ; 周天墨 ; 刘洪岐 ; .购物广场导航系统中路径分析和ComGIS应用实现.地理空间信息.2011,(第04期),全文. * |
| 购物广场导航系统中路径分析和ComGIS应用实现;杨雪;周天墨;刘洪岐;;地理空间信息(第04期);全文 * |
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