CN113129113A - Geo-fence-based store matching method, system, device and storage medium - Google Patents
Geo-fence-based store matching method, system, device and storage medium Download PDFInfo
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Abstract
The invention provides a geo-fence based store matching method, a system, equipment and a storage medium, wherein the method comprises the following steps: monitoring a commodity browsing request of a user side, and determining a requested merchant corresponding to a commodity requested to be browsed according to the commodity browsing request; taking each store corresponding to the requested merchant as an alternative store, and acquiring geo-fence data of each alternative store; selecting a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores; and displaying the information of the matched store on the user side. According to the method and the system, the shops are automatically matched for the user based on the geo-fence data and the geographic position of the user, and the information of the matched shops is displayed on the user side for the user to select when the user places an order, so that the user does not need to manually judge the delivery range of the shops and manually select the shops, and the user is prevented from selecting the shop of a merchant beyond the delivery range.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a geo-fence-based store matching method, a geo-fence-based store matching system, geo-fence-based store matching equipment and a storage medium.
Background
At present, a merchant of an e-commerce platform part is in a store sales mode, a consumer selects commodities in a store to place an order on a terminal, and a dispatcher is arranged by the store or the platform is arranged to dispatch the commodities for a user. The dispatch range of stores depends on the dispatch capacity of the self-construction logistics, which is typically only a few kilometers. The consumer needs to judge the distance from the store to the consumer before ordering, and the operation is complex. In addition, the consumer address exceeds the selected store delivery range, so that the commodity purchase fails, and poor use experience is brought to the user.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a geo-fence-based store matching method, a geo-fence-based store matching system, a geo-fence-based store matching device and a storage medium, wherein stores are automatically matched for a user on the basis of geo-fence data and the geographic position of the user, manual selection by the user is not needed, and the user is prevented from selecting merchant stores beyond a delivery range.
The embodiment of the invention provides a geo-fence-based store matching method, which comprises the following steps:
monitoring a commodity browsing request of a user side, and determining a requested merchant corresponding to a commodity requested to be browsed according to the commodity browsing request;
taking each store corresponding to the requested merchant as an alternative store, and acquiring geo-fence data of each alternative store;
selecting a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores;
and displaying the information of the matched store on the user side.
In some embodiments, the monitoring the commodity browsing request at the user end includes the following steps:
and monitoring the commodity list browsing request or the commodity information browsing request of the user side.
In some embodiments, the monitoring the commodity browsing request at the user end includes the following steps:
monitoring a commodity browsing request of a user terminal aiming at a merchant, and determining the requested merchant according to the commodity browsing request; or
Monitoring a commodity browsing request of a user terminal aiming at a store, and determining a requested merchant to which a requested store corresponding to the commodity browsing request belongs.
In some embodiments, the selecting a matching store from the alternative stores based on the user geographic location and the geofence data for the alternative stores comprises:
and invoking a location-based service application to select a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores.
In some embodiments, the selecting a matching store from the alternative stores based on the user geographic location and the geofence data for the alternative stores comprises:
judging whether an alternative store with a geographic fence range covering the geographic position of the user exists or not;
if so, taking an alternative store with the geographic fence range covering the geographic position of the user as a matching store;
if not, it is determined that there is no matching store.
In some embodiments, the method further comprises the steps of:
the method comprises the steps that a server side obtains store data of a merchant, wherein the store data of the merchant comprises stores included by the merchant and geofence data of all stores;
and the server stores the store data of each merchant in a database.
In some embodiments, the server obtains store data of the merchant, including the following steps:
the server receives store information sent by a merchant end, wherein the store information comprises at least one of a store geographical position, a delivery radius and a delivery fence;
the server side judges whether the store information comprises a dispatching fence or not;
if the store information comprises a delivery fence, verifying the delivery fence by adopting a preset verification rule, and determining the geographic fence of the store according to the delivery fence which is verified successfully;
and if the store information does not comprise a delivery fence or the delivery fence fails to be checked, generating the geographic fence of the store according to the geographic position and the delivery radius of the store.
In some embodiments, after the server stores the store data of each merchant in the database, the method further includes the following steps:
and the server adds the labels of the first commercial tenants to the commercial tenants which accord with the first commercial tenant screening rule in the database according to a preset first commercial tenant screening rule, and adds the labels of the second commercial tenants to the commercial tenants which do not accord with the first commercial tenant screening rule in the database.
In some embodiments, the method further comprises the steps of:
and calling the location-based service application, acquiring store data of the first merchant from the server, storing the store data in a user-side memory, and establishing an index for the store data of the first merchant in the user-side memory.
In some embodiments, the obtaining geo-fence data for each of the alternative stores comprises:
judging whether the memory of the user side stores the geo-fence data of each store in the requested merchant;
if yes, acquiring the geo-fence data of the alternative store from a user-side memory;
and if not, the user side acquires the geo-fence data of the alternative store from the database.
In some embodiments, after the monitoring of the product browsing request at the user end, the method further includes the following steps:
judging whether the user side stores the addressee of the user;
if yes, determining the geographic position of the user according to the receiving address;
if not, positioning the user side, and determining the geographic position of the user according to the current positioning result of the user side.
In some embodiments, the displaying the information of the matching store at the user end includes the following steps:
judging whether a matching store exists or not;
if the matching store exists, calculating the distance between the position of the matching store and the user geographic position, and displaying the distance between the matching store and the user geographic position on the user side;
and if not, displaying a no-match store notification on the user side.
The embodiment of the invention also provides a geo-fence-based store matching system, which is applied to the geo-fence-based store matching method, and the system comprises the following steps:
the request monitoring module is used for monitoring a commodity browsing request of a user side and determining a requested merchant corresponding to the commodity requested to be browsed according to the commodity browsing request;
the data acquisition module is used for taking each store corresponding to the requested merchant as an alternative store and acquiring the geo-fence data of each alternative store when a commodity browsing request of a user side is monitored;
the store matching module is used for selecting a matching store from the alternative stores according to the user geographic position and the geo-fence data of the alternative stores;
and the information pushing module is used for displaying the information of the matched store on the user side.
An embodiment of the present invention further provides a geo-fence based store matching device, including:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the geo-fence based store matching method via execution of the executable instructions.
Embodiments of the present invention also provide a computer-readable storage medium for storing a program, which when executed by a processor implements the steps of the geo-fence based store matching method.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
The geo-fence-based store matching method, system, device and storage medium of the invention have the following beneficial effects:
according to the method and the system, when the user browses commodities at the user terminal is monitored, the corresponding merchant is determined according to the commodities browsed by the user, then the geo-fence data of each store of the merchant is obtained, store matching is carried out based on the user geographical position and the geo-fence data of the alternative stores, the obtained matching stores are stores with the user geographical position within the geo-fence range, namely the user geographical position is within the store dispatching range, the matching stores can meet the dispatching requirement of the user, then the information of the matching stores is displayed at the user terminal for the user to select when the user places an order, so that the user does not need to manually judge the dispatching range of the stores and manually select the stores, and commodity purchasing failure caused by the fact that the user selects the store beyond the dispatching range is avoided.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings.
FIG. 1 is a flow chart of a geo-fence based store matching method of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a matching store of an embodiment of the present invention;
FIG. 3 is a schematic diagram of a matching store of an embodiment of the present invention;
FIG. 4 is a flow chart of pre-storing store data for various merchants, according to an embodiment of the present invention;
FIG. 5 is a flow chart of one embodiment of the present invention for obtaining geofence data for each of the alternate stores;
FIG. 6 is a schematic block diagram of a geo-fence based store matching system according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a geo-fence based store matching device, in accordance with an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the steps. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
As shown in fig. 1, an embodiment of the present invention provides a geo-fence based store matching method, including the following steps:
s100: monitoring a commodity browsing request of a user side, and determining a requested merchant corresponding to a commodity requested to be browsed according to the commodity browsing request;
in this embodiment, the step S100: monitoring a commodity browsing request of a user side, comprising: and monitoring the commodity list browsing request or the commodity information browsing request of the user side. The commodity list browsing request is that the user requests to browse all commodity lists of a merchant or commodity lists of a certain category, and the commodity information browsing request is that the user requests to browse detailed information of a commodity. Therefore, when a user clicks to enter a commodity list of a merchant or the user clicks a detail page of a certain commodity directly from a recommendation page, the commodity belongs to a commodity browsing request;
s200: taking each store corresponding to the requested merchant as an alternative store, and acquiring geo-fence data of each alternative store;
because more than one store is opened by a plurality of merchants online, one or more stores corresponding to the requested merchant may be provided;
s300: selecting a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores;
s400: and displaying the information of the matching stores on the user side, wherein the information of the matching stores can comprise at least one of various information such as store names, store IDs, store addresses, store profiles and the like of the matching stores.
The store matching method of the invention determines the corresponding merchant according to the goods browsed by the user when the user browses the goods at the user end is monitored through the step S100, then, acquiring geo-fence data of each store of the merchant through step S200, and performing store matching based on the user geographical position and the geo-fence data of the alternative store through step S300, wherein the obtained matching store is the store with the user geographical position within the geo-fence range, i.e., the user's geographic location is within the delivery range of the store, the matching store can satisfy the user's delivery requirements, then, the information of the matching store is displayed on the user side through step S400 for the user to select when ordering, therefore, the user does not need to manually judge the delivery range of the store and manually select the store, and the failure of commodity purchase caused by the fact that the user selects the merchant store beyond the delivery range is avoided.
In this embodiment, the user refers to a consumer ordering goods on an e-commerce platform. The user side refers to terminal equipment such as a mobile phone, a tablet computer and a notebook computer used by a user. The geo-fence-based store matching method can be deployed in a server at an e-commerce platform end, and can provide a service interface for commodity browsing and store information pushing for a user end. When the user browses the commodities at the E-commerce platform end through the user end, the steps from S100 to S400 are adopted to automatically match and recommend stores for the user. In another alternative embodiment, the geo-fence based store matching method may also be deployed in a separate server, which is capable of communicating with the e-commerce platform and the user terminal, acquiring operation data of the user, merchant data, store data of the merchant, and the like from the e-commerce platform, and sending information of the matching store to the user terminal after obtaining the matching store. In another alternative embodiment, the geo-fence based store matching method may also be deployed at the user end, where the user end directly monitors the commodity browsing request of the user, and after store matching, directly displays the information of the matching store in a commodity ordering page at the user end. In another alternative embodiment, steps S100 to S400 may also be respectively deployed at different ends, for example, S100 is deployed at the e-commerce platform end, S200 to S400 is deployed at the user end, or S100 and S200 are deployed at the e-commerce platform end, S300 and S400 are deployed at the user end, and so on. The geo-fence data of each store can be pre-stored in a database for query and invocation by a server or a client deployed with the geo-fence based store matching method.
In this embodiment, the step S100: monitoring a commodity browsing request of a user side, comprising the following steps:
monitoring a commodity browsing request of a user terminal aiming at a merchant, and determining the requested merchant according to the commodity browsing request; or
Monitoring a commodity browsing request of a user terminal aiming at a store, and determining a requested merchant to which a requested store corresponding to the commodity browsing request belongs.
For example, if the user selects a merchant a to request browsing of the merchandise or merchandise list thereof, it may be determined that the requested merchant is merchant a, and then the stores a1, a2, A3 corresponding to the requested merchant a are used as alternative stores through step S200. If the user directly selects one store a1 to request browsing of his/her merchandise, considering that this store a1 may not necessarily satisfy the distribution requirement of the user, or that this store a1 may not be the closest to the user among all stores included in the corresponding store a, the requested store a to which the requested store belongs may also be determined according to the store a1, and then the stores a1, a2, A3 corresponding to the requested store a are further used as alternative stores through step S200.
In this embodiment, the geographic location of the user may be a recipient address set by the user or a geographic location obtained by locating the user. The step S100: after monitoring the commodity browsing request of the user side, the method further comprises the step of acquiring the geographical position of the user, and specifically comprises the following steps:
judging whether the user side stores the addressee of the user;
if yes, determining the geographic position of the user according to the receiving address;
if not, positioning the user side, and determining the geographic position of the user according to the current positioning result of the user side.
In this embodiment, the step S300: selecting a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores, comprising the steps of:
and calling a Location Based Service (LBS) to select a matching store from the alternative stores according to the geographic position of the user and the geo-fence data of the alternative stores. Here, the location-based service application is invoked, either by the user side or by the server side, so as to select a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores.
When implemented by the user side in step S300, the user side invokes the location based service application to select a matching store. The user side can load at least part of the geo-fence data of the stores of the merchants into the memory of the user side in advance, construct an R-tree index, support coordinate query, and provide geo-fence matching service based on the application memory, so that matching of the stores in step S300 can be quickly realized. Therefore, the high-availability, low-time-delay and multi-concurrency online dispatching fence matching service can be realized.
In this embodiment, the step S300: selecting a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores, comprising the steps of:
judging whether an alternative store with a geographic fence range covering the geographic position of the user exists or not;
if so, taking an alternative store with the geographic fence range covering the geographic position of the user as a matching store;
if not, it is determined that there is no matching store.
Fig. 2 is a schematic diagram of a store selected to match. For example, the user browses the merchandise of the merchant B. The merchant B sets three stores B1, B2 and B3 in the city where the user U is located, wherein a shadow area with the stores as the center is a corresponding geo-fence range. As can be seen in fig. 2, the geo-fenced extent of stores B1, B2 covers the geographic location of user U, and thus stores B1, B2 are the matching stores for user U, who may successfully purchase the item if placed an order at store B1 or store B2. While the geofence range of store B3 does not cover the geographic location of user U, i.e., store B3 cannot meet the dispatch needs of user U.
As shown in fig. 3, is a schematic diagram of another alternative matching store. Taking the example that the user browses the commodities of the merchant C, the merchant C is provided with two stores C1 and C2 in the city where the user U is located, wherein a shadow area with the stores as the center is a corresponding geo-fence range. As can be seen from fig. 3, the geo-fence ranges of stores C1 and C2 do not cover the geographic location of user U, that is, stores C1 and C2 cannot meet the delivery requirement of user U, and at this time, a matching store cannot be found, and the user may be notified that current merchant C does not have a matching store.
In the example of fig. 2, after determining stores B1 and B2 as matching stores, distances B1U and B2U of the matching stores from the user's geographic location may be further calculated and also displayed at the user's end. After the user sees the displayed store distance at the user side, the user can preferentially select the matching store closest to the user side so as to obtain faster delivery timeliness. In the example of fig. 3, the user may be notified that the current merchant C does not have a matching store because no matching store can be found.
Therefore, in this embodiment, the step S400: displaying the information of the matched store at a user side, comprising the following steps:
judging whether a matching store exists or not;
if the matching store exists, calculating the distance between the position of the matching store and the user geographic position, and displaying the distance between the matching store and the user geographic position on the user side; when the distance is displayed, the matching stores can be further displayed after being sorted according to the sequence from near to far, and a user can conveniently and quickly select the matching store closest to the distance; even if only one matching store exists, the distance between the matching store and the geographic position of the user can be displayed, so that the user can conveniently refer to the matching store;
if not, a no match store notification is presented to the user side and a suggestion to the user to change the recipient address or browse other merchant's merchandise may be displayed.
Therefore, the embodiment can provide high-availability, low-delay and multi-concurrency online delivery fence matching service, output stores and distances supporting delivery of the geographic position of the user, provide stores nearest to the user for the user to select reference, and timely feed back the user to select commodities of other merchants if stores providing delivery capability cannot be found.
As shown in fig. 4, in this embodiment, the store matching method further includes pre-storing store data of each merchant, and specifically includes the following steps:
s510: the method comprises the steps that a server side obtains store data of a merchant, wherein the store data of the merchant comprises stores included by the merchant and geofence data of all stores; the service end can be a server of the e-commerce platform, or can be an independent server which can communicate with the e-commerce platform and the user end;
s520: the server side carries out verification and standardization processing on the store data, and concretely comprises the operations of verifying the geo-fence, converting longitude and latitude standards, correcting graphs and the like;
s530: and the server stores the store data of each merchant in a database for subsequent query of the store data and matching of the stores and the user.
The storage structure of the store electronic fence data may be, for example, in the form of table 1 below:
TABLE 1 electronic fence data Structure
In this embodiment, the step S510: the method for acquiring the store data of the merchant by the server comprises the following steps:
the server receives store information sent by a merchant end, wherein the store information comprises at least one of a store geographical position, a delivery radius and a delivery fence; specifically, a merchant can enter store information in an E-commerce platform background through a merchant terminal, and a server terminal obtains the store information entered by the merchant;
the server side judges whether the store information comprises a dispatching fence or not;
if the store information comprises a delivery fence, verifying the delivery fence by adopting a preset verification rule, and determining the geographic fence of the store according to the delivery fence which is verified successfully;
and if the store information does not comprise a delivery fence or the delivery fence fails to be verified, generating the geographic fence of the store according to the geographic position and the delivery radius of the store, namely, defining the delivery range of the store according to the geographic position and the delivery radius of the store and generating the geographic fence of the store according to the delivery range.
In this embodiment, the step S530: after the server stores the store data of each merchant in the database, the merchant can be further classified, specifically, the method includes the following steps:
and the server adds the labels of the first commercial tenants to the commercial tenants which accord with the first commercial tenant screening rule in the database according to a preset first commercial tenant screening rule, and adds the labels of the second commercial tenants to the commercial tenants which do not accord with the first commercial tenant screening rule in the database.
In this embodiment, the geofence-based store matching method further comprises the steps of:
the user side or the server side calls the location-based service application, the store data of the first merchant is obtained from the server side and stored in the memory of the user side, and an index is established for the store data of the first merchant in the memory of the user side.
Thus, as shown in fig. 5, the step S200 of acquiring the geo-fence data of each alternative store before store matching is performed includes the following steps:
s210: judging whether the memory of the user side stores the geo-fence data of each store in the requested merchant;
s220: if the memory of the user side stores the geo-fence data of each store in the requested merchant, acquiring the geo-fence data of the alternative store from the memory of the user side, and then performing online store matching based on the acquired geo-fence data of the alternative store, wherein the method has higher availability and lower time delay, and for the user, the waiting time is shorter and the experience is better;
s230: and if the memory of the user side does not store the geo-fence data of each store in the requested merchant, the user side acquires the geo-fence data of the alternative store from a database.
Therefore, by adopting this method, when the store is matched in step S300, the source of acquiring the geo-fence data may be different according to whether there is store geo-fence data of the merchant in the memory of the user side. For a first merchant, the geo-fence data of the store is not only stored in the database, but also loaded to the memory of the user side in advance, so that the access is more convenient, and the user side can more quickly acquire the geo-fence data and perform the action of store matching. For a second merchant, the geofence data for his store is only stored in the database, and therefore needs to be retrieved from the database.
In an embodiment, the first merchant screening rule is that the traffic volume and/or the data call volume of the merchant reaches a preset threshold value within a preset time range. The business volume is the order placing quantity or the deal order quantity of the commodity in the merchant, and the data call quantity is the number of times of the shop data call of the merchant. Therefore, the invention can adopt the position-based service application to load the geo-fence data of hot spot merchants with large business volume and/or large call volume to the user terminal memory in advance, construct R tree index and support coordinate query, thereby providing the geo-fence matching service based on the application memory. For cold data with small traffic and/or small call volume, a database-based geo-fence matching service is provided.
In other alternative embodiments, the first merchant screening rule may also be other types of rules, for example, the first merchant screening rule is set such that the merchant registration time reaches a certain age, or the first merchant screening rule is set such that the merchant liveness reaches a preset threshold, and so on. Or different first merchant screening rules may be set for different users, for example, if some users tend to select goods of hot merchants, the first merchant screening rules may be set within a preset time range, the business volume and/or the data call volume of a merchant reaches a preset threshold, and if some users tend to select stable merchants with longer registration time, the first merchant screening rules may be set such that the merchant registration time reaches a certain age.
As shown in fig. 6, an embodiment of the present invention further provides a geofence-based store matching system, which is applied to the geofence-based store matching method, and the system includes:
the request monitoring module M100 is used for monitoring a commodity browsing request of a user side and determining a requested merchant corresponding to a commodity requested to browse according to the commodity browsing request;
the data acquisition module M200 is configured to, when a commodity browsing request of a user side is monitored, take each store corresponding to the requested merchant as an alternative store, and acquire geo-fence data of each alternative store;
the store matching module M300 is used for selecting a matching store from the alternative stores according to the user geographic position and the geo-fence data of the alternative stores;
and the information pushing module M400 is configured to display the information of the matching store on the user side.
The store matching system of the invention determines the corresponding commercial tenant according to the commodity browsed by the user when the request monitoring module M100 monitors that the user browses the commodity at the user end, then acquires the geo-fence data of each store of the merchant through the data acquisition module M200, and store matching is performed by the store matching module M300 based on the user geographic location and the geo-fence data of the alternative stores, the obtained matching store is the store whose user geographic location is within the geo-fence range, i.e., the user's geographic location is within the delivery range of the store, the matching store can satisfy the user's delivery requirements, then the information of the matched store is displayed on the user side through the information pushing module M400 for the user to select when ordering, therefore, the user does not need to manually judge the delivery range of the store and manually select the store, and the failure of commodity purchase caused by the fact that the user selects the merchant store beyond the delivery range is avoided.
The functions of the modules in the store matching system of the present invention can be implemented by the specific implementation of the steps of the store matching method, and are not described herein again.
In this embodiment, the store matching system further includes a data storage module, configured to store data of each merchant in advance, specifically, to obtain store data of the merchant, where the store data of the merchant includes stores included by the merchant and geo-fence data of each store; performing verification and standardization processing on the store data, specifically, performing operations such as verification, longitude and latitude standard conversion, graphic correction and the like on the geo-fence; and storing the store data of each merchant in a database for subsequent query of the store data and matching of the stores and the user.
In this embodiment, the store matching system further includes a merchant classification module, configured to add a first merchant tag to a merchant that meets the first merchant screening rule in the database according to a preset first merchant screening rule, and add a second merchant tag to a merchant that does not meet the first merchant screening rule in the database. The first merchant screening rule may adopt several rules listed in the embodiment of the store matching method, but the present invention is not limited thereto.
In this embodiment, the data storage module is further configured to invoke a location-based service application, obtain store data of the first merchant from the server, store the store data in the user-side memory, and establish an index for the store data of the first merchant in the user-side memory.
The geo-fence-based store matching system can be deployed in a server at an e-commerce platform end, and can provide a service interface for commodity browsing and store information pushing for a user end. When the user browses the commodities at the E-commerce platform end through the user end, stores are automatically matched and recommended for the user. In other alternative embodiments, the geo-fence based store matching system may also be deployed in a single server, which is capable of communicating with the e-commerce platform and the user terminal, acquiring operation data of the user, merchant data, store data of the merchant, and the like from the e-commerce platform, and sending information of the matching store to the user terminal after obtaining the matching store. In another alternative embodiment, the geo-fence based store matching system may also be deployed at the user end, and the user end directly monitors the commodity browsing request of the user, and after store matching, directly displays the information of the matching store in the commodity ordering page at the user end. In another alternative embodiment, the modules may also be respectively deployed at different ends, for example, the request monitoring module M100 is deployed at an e-commerce platform end, the data obtaining module M200, the store matching module M300, and the information pushing module M400 are deployed at a user end, or the request monitoring module M100 and the data obtaining module M200 are deployed at the e-commerce platform end, the store matching module M300 and the information pushing module M400 are deployed at the user end, and so on. Geofence data for individual stores can be pre-stored in a database that can be in communication with the geofence-based store matching system.
The embodiment of the invention also provides a geo-fence based store matching device, which comprises a processor; a memory having stored therein executable instructions of the processor; wherein the processor is configured to perform the steps of the geo-fence based store matching method via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" platform.
An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 7. The electronic device 600 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 7, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 that connects the various system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
Wherein the memory unit stores program code executable by the processing unit 610 to cause the processing unit 610 to perform steps according to various exemplary embodiments of the present invention as described in the geofence-based store matching methods section above of this specification. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
In the geofence-based store matching apparatus, the program in the memory, when executed by the processor, implements the steps of the geofence-based store matching method, and thus the computer storage medium may also achieve the technical effects of the geofence-based store matching method described above.
Embodiments of the present invention also provide a computer-readable storage medium for storing a program, which when executed by a processor implements the steps of the geo-fence based store matching method. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the invention as described in the geofence-based store matching method section above of this specification when the program product is executed on the terminal device.
Referring to fig. 8, a program product 800 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be executed on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a 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 readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like 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 computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The program in the computer storage medium, when executed by a processor, performs the steps of the geofence-based store matching method, and thus the computer storage medium may also achieve the technical effects of the geofence-based store matching method described above.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (15)
1. A geo-fence based store matching method, the method comprising:
monitoring a commodity browsing request of a user side, and determining a requested merchant corresponding to a commodity requested to be browsed according to the commodity browsing request;
taking each store corresponding to the requested merchant as an alternative store, and acquiring geo-fence data of each alternative store;
selecting a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores;
and displaying the information of the matched store on the user side.
2. The geo-fence based store matching method as recited in claim 1, wherein said listening to a customer-side merchandise browsing request comprises the steps of:
and monitoring the commodity list browsing request or the commodity information browsing request of the user side.
3. The geo-fence based store matching method as recited in claim 1, wherein said listening to a customer-side merchandise browsing request comprises the steps of:
monitoring a commodity browsing request of a user terminal aiming at a merchant, and determining the requested merchant according to the commodity browsing request; or
Monitoring a commodity browsing request of a user terminal aiming at a store, and determining a requested merchant to which a requested store corresponding to the commodity browsing request belongs.
4. The geo-fence based store matching method according to claim 1, wherein said selecting a matching store from said alternative stores based on a user geo-location and geo-fence data of said alternative stores comprises the steps of:
and invoking a location-based service application to select a matching store from the alternative stores according to the user geographic location and the geo-fence data of the alternative stores.
5. The geo-fence based store matching method according to claim 1, wherein said selecting a matching store from said alternative stores based on a user geo-location and geo-fence data of said alternative stores comprises the steps of:
judging whether an alternative store with a geographic fence range covering the geographic position of the user exists or not;
if so, taking an alternative store with the geographic fence range covering the geographic position of the user as a matching store;
if not, it is determined that there is no matching store.
6. The geo-fence based store matching method as recited in claim 1, further comprising the steps of:
the method comprises the steps that a server side obtains store data of a merchant, wherein the store data of the merchant comprises stores included by the merchant and geofence data of all stores;
and the server stores the store data of each merchant in a database.
7. The geo-fence based store matching method as recited in claim 6, wherein the server obtains store data of the merchant, comprising the steps of:
the server receives store information sent by a merchant end, wherein the store information comprises at least one of a store geographical position, a delivery radius and a delivery fence;
the server side judges whether the store information comprises a dispatching fence or not;
if the store information comprises a delivery fence, verifying the delivery fence by adopting a preset verification rule, and determining the geographic fence of the store according to the delivery fence which is verified successfully;
and if the store information does not comprise a delivery fence or the delivery fence fails to be checked, generating the geographic fence of the store according to the geographic position and the delivery radius of the store.
8. The geo-fence based store matching method as recited in claim 7, wherein after the server stores store data of stores of various merchants in the database, the method further comprises the following steps:
and the server adds the labels of the first commercial tenants to the commercial tenants which accord with the first commercial tenant screening rule in the database according to a preset first commercial tenant screening rule, and adds the labels of the second commercial tenants to the commercial tenants which do not accord with the first commercial tenant screening rule in the database.
9. The geo-fence based store matching method as recited in claim 8, further comprising the steps of:
and calling the location-based service application, acquiring store data of the first merchant from the server, storing the store data in a user-side memory, and establishing an index for the store data of the first merchant in the user-side memory.
10. The geo-fence based store matching method as recited in claim 9, wherein said obtaining geo-fence data for each of said alternative stores comprises the steps of:
judging whether the memory of the user side stores the geo-fence data of each store in the requested merchant;
if yes, acquiring the geo-fence data of the alternative store from a user-side memory;
and if not, the user side acquires the geo-fence data of the alternative store from the database.
11. The geo-fence based store matching method as recited in claim 1, further comprising the following steps after said monitoring a user-side product browsing request:
judging whether the user side stores the addressee of the user;
if yes, determining the geographic position of the user according to the receiving address;
if not, positioning the user side, and determining the geographic position of the user according to the current positioning result of the user side.
12. The geo-fence based store matching method as claimed in claim 1, wherein displaying the information of the matching store to a user side comprises the steps of:
judging whether a matching store exists or not;
if the matching store exists, calculating the distance between the position of the matching store and the user geographic position, and displaying the distance between the matching store and the user geographic position on the user side;
and if not, displaying a no-match store notification on the user side.
13. A geofence-based store matching system, for use in the geofence-based store matching method of any of claims 1-12, the system comprising:
the request monitoring module is used for monitoring a commodity browsing request of a user side and determining a requested merchant corresponding to the commodity requested to be browsed according to the commodity browsing request;
the data acquisition module is used for taking each store corresponding to the requested merchant as an alternative store and acquiring the geo-fence data of each alternative store when a commodity browsing request of a user side is monitored;
the store matching module is used for selecting a matching store from the alternative stores according to the user geographic position and the geo-fence data of the alternative stores;
and the information pushing module is used for displaying the information of the matched store on the user side.
14. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory having stored thereon a computer program that, when executed by the processor, performs the geofence-based store matching method of any of claims 1-12.
15. A computer storage medium, characterized in that a computer program is stored which, when being executed by a processor, performs the geofence-based store matching method of any of claims 1-12.
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