CN111263300A

CN111263300A - Method and device for determining category of wireless network, electronic equipment and storage medium

Info

Publication number: CN111263300A
Application number: CN201811463495.6A
Authority: CN
Inventors: 唐甜田; 卓呈祥
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2018-11-30
Filing date: 2018-11-30
Publication date: 2020-06-09

Abstract

The embodiment of the application provides a method and a device for determining the category of a wireless network, electronic equipment and a storage medium, and relates to the technical field of Internet. The method comprises the following steps: when a user terminal of a user is connected with a target wireless network, acquiring the current position of the user; and determining the category of the target wireless network at least based on the attribute information corresponding to the current position. Therefore, the type of the target wireless network is determined by acquiring the current position of the user when the user terminal of the user is connected with the target wireless network and then based on the attribute information corresponding to the current position of the user, compared with the mode of manually marking the type of the wireless network in the prior art, the method and the device can automatically identify the type of the wireless network, and the efficiency of identifying the type of the wireless network is improved.

Description

Method and device for determining category of wireless network, electronic equipment and storage medium

Technical Field

The present application relates to the field of internet technologies, and in particular, to a method and an apparatus for determining a category of a wireless network, an electronic device, and a storage medium.

Background

Most of application software in the existing user terminal collects relevant information of a wireless network (WiFi) connected by the user terminal, so that users who are connected with the same WiFi together can be counted based on the information, and direct relationship networks of the users, such as family relationships, co-worker relationships and the like, can be mined. However, home WiFi or work WiFi is only a part, even a small part, of the wireless network connected by the user, and the user is usually connected with some merchant WiFi, public WiFi, etc., and the user relationship mined by such WiFi is not firm. In this case, identifying WiFi's own information becomes a key, and is of great significance whether to do social contact or business recommendation. Therefore, the user relationship can be mined for accurately using relevant information of the WiFi by identifying the category of the WiFi, however, the identification of the category of the WiFi at present usually adopts a mode of manually labeling the category of the WiFi, which is time-consuming and labor-consuming, and because the coverage area of the WiFi is large and the number is large, the mode of manually labeling the category of the WiFi is inefficient.

Disclosure of Invention

The embodiment of the application aims to provide a method and a device for determining the category of a wireless network, electronic equipment and a storage medium.

In a first aspect, an embodiment of the present application provides a method for determining a category of a wireless network, where the method includes: when a user terminal of a user is connected with a target wireless network, acquiring the current position of the user; and determining the category of the target wireless network at least based on the attribute information corresponding to the current position.

In the implementation process, the current position of the user when the user terminal of the user is connected with the target wireless network is obtained, and then the type of the target wireless network is determined based on the attribute information corresponding to the current position of the user.

In one possible design, acquiring a current location of a user when the user terminal of the user connects to a target wireless network includes: when a user terminal of a user is connected with a target wireless network, the current position of the user when the user executes order operation is obtained.

In the implementation process, when the user terminal is connected with the target wireless network, the current position of the user when the user executes the order request operation is obtained, so that the behavior of the user in connecting the wireless network and the behavior of the user in executing the order request operation can be associated, and the statistics of the related information of the wireless network is facilitated.

In a possible design, before determining the category of the target wireless network based on at least attribute information corresponding to the current location, the current location is a location where the user is located when the user performs an order request operation, the method further includes: acquiring an order starting position input by the user at the user terminal when the user executes the order request operation; determining the category of the target wireless network at least based on the attribute information corresponding to the current position, including: and determining the category of the target wireless network based on the attribute information corresponding to the current position and the attribute information corresponding to the order starting position.

In the implementation process, when the category of the target wireless network cannot be determined based on the attribute information corresponding to the current position, the category of the target wireless network can be determined together at least based on the attribute information corresponding to the current position and the attribute information corresponding to the order starting position, so that the accuracy of identifying the category of the wireless network is improved.

In one possible design, the attribute information is a point of interest (POI) category corresponding to a location, and determining the category of the target wireless network based on at least the attribute information corresponding to the current location and the attribute information corresponding to the order starting point location includes: judging whether the POI category corresponding to the current position is a category meeting a preset condition, wherein the preset condition refers to that the POI category corresponding to the position is a category with representation of user behavior interest and/or habits; and if not, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

In the implementation process, when the POI category corresponding to the current position is judged to be unavailable, the category of the target wireless network can be determined to be the POI category corresponding to the order starting position, and therefore the accuracy of identifying the category of the wireless network is improved.

In one possible design, determining the category of the target wireless network as the POI category corresponding to the order starting point location includes: acquiring the distance between the current position and the starting position of the order; and if the distance is smaller than or equal to the preset distance, determining the category of the target wireless network to be the POI category corresponding to the starting position of the order.

In the implementation process, the distance between the current position and the order starting position is judged to prevent the problem that the POI category corresponding to the order starting position is inaccurate when the POI category is determined as the category of the target wireless network when the distance is long.

In one possible design, after obtaining the distance between the current position and the order starting position, the method further includes: if the distance is greater than the preset distance, acquiring a target position closest to the current position, wherein the distance between the target position and the current position is less than or equal to the preset distance; and determining the category of the target wireless network as the POI category corresponding to the target position.

In the implementation process, if the POI category corresponding to the current position and the POI category corresponding to the order starting position are not available to be used as the category of the target wireless network, the POI category corresponding to the target position closer to the current position can be used as the category of the target wireless network, so that the category of the target wireless network can meet the preset condition, and powerful data support is provided for subsequent analysis of user behavior interest.

In one possible design, determining the category of the target wireless network as the POI category corresponding to the order starting point location includes: judging whether the POI category corresponding to the order starting position is a category meeting the preset condition or not; if yes, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

In the implementation process, if the POI category corresponding to the order starting position meets the preset condition, the category of the target wireless network is determined to be the POI category corresponding to the order starting position, so that the category of the target wireless network can meet the preset condition, and powerful data support is provided for subsequent analysis of user behavior interest.

In a possible design, before determining the category of the target wireless network based on at least attribute information corresponding to the current location, the current location is a location where the user is located when the user performs an order completion operation, the method further includes: obtaining an order end point position contained in an order after the order is completed; determining the category of the target wireless network at least based on the attribute information corresponding to the current position, including: and determining the category of the target wireless network based on the attribute information corresponding to the current position and the attribute information corresponding to the order end position.

In the implementation process, in order to obtain more data volume, the location where the user is located when the user performs order completion operation may also be obtained, and then the category of the target wireless network is determined based on the attribute information corresponding to the location, so that the category of the target wireless network may be determined based on more data.

In one possible design, the determining, by the current location, a category of the target wireless network based on at least attribute information corresponding to the current location, where the user is located when the user performs an order cancellation operation, includes: and determining the category of the target wireless network based on the attribute information corresponding to the position of the user when the user executes the order cancellation operation.

In the implementation process, the category of the target wireless network is determined based on the attribute information corresponding to the position where the user is located when the user performs the order cancellation operation, so that the category of the target wireless network can be determined based on more data.

In one possible design, after determining the category of the target wireless network based on at least attribute information corresponding to the current location, the method further includes: acquiring all categories marked for the target wireless network; counting the number of the same category in all the categories; selecting the largest number of categories as the primary categories for the target wireless network.

In the implementation process, as the types of the target wireless network are possibly determined to be different based on different positions, all the types of the target wireless network can be counted, and then the main type of the target wireless network is determined, so that the main type of the target wireless network can be determined based on a large amount of data, and the accuracy of determining the type of the wireless network is improved.

In a second aspect, an embodiment of the present application provides a category determining apparatus for a wireless network, where the apparatus includes: the system comprises a user position acquisition module, a target wireless network acquisition module and a target wireless network acquisition module, wherein the user position acquisition module is used for acquiring the current position of a user when the user terminal of the user is connected with the target wireless network; and the category determining module is used for determining the category of the target wireless network at least based on the attribute information corresponding to the current position.

In a possible design, the user location obtaining module is specifically configured to, when a user terminal of a user connects to a target wireless network, obtain a current location where the user is currently located when the user performs an order operation.

In one possible design, the current location is a location where the user is located when the user performs an order request operation, and the apparatus further includes: an order starting point position obtaining module, configured to obtain an order starting point position input by the user at the user terminal when the user performs the order request operation; the category determining module is further configured to determine a category of the target wireless network based on the attribute information corresponding to the current location and the attribute information corresponding to the order starting point location.

In one possible design, the attribute information is a point of interest (POI) category corresponding to a position, and the category determination module is further configured to determine whether the POI category corresponding to the current position is a category meeting a preset condition, where the preset condition indicates that the POI category corresponding to the position is a category having an interest and/or habit representing a user behavior; and if not, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

In a possible design, the category determining module is further configured to obtain a distance between the current location and the order starting point location; and if the distance is smaller than or equal to the preset distance, determining the category of the target wireless network to be the POI category corresponding to the starting position of the order.

In a possible design, the category determining module is further configured to determine whether the POI category corresponding to the order starting position is a category that meets the preset condition; if yes, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

In one possible design, the current location is a location where the user was when the user performed an order completion operation, and the apparatus further includes: the order end position acquisition module is used for acquiring an order end position contained in the order after the order is completed; the category determining module is further configured to determine a category of the target wireless network based on the attribute information corresponding to the current location and the attribute information corresponding to the order destination location.

In a possible design, the current location is a location where the user is located when the user performs an order cancellation operation, and the category determining module is further configured to determine a category of the target wireless network based on attribute information corresponding to the location where the user is located when the user performs the order cancellation operation.

In one possible design, the apparatus further includes: a main category determining module, configured to obtain all categories marked for the target wireless network; counting the number of the same category in all the categories; selecting the largest number of categories as the primary categories for the target wireless network.

In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, where the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the method as provided in the first aspect are executed.

In a fourth aspect, embodiments of the present application provide a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the steps in the method as provided in the first aspect.

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

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

FIG. 1 is a block diagram of a network appointment system according to some embodiments of the present application;

FIG. 2 illustrates a schematic diagram of exemplary hardware and software components of an electronic device that may implement the concepts of the present application, according to some embodiments of the present application;

fig. 3 is a flowchart of a method for determining a category of a wireless network according to an embodiment of the present application;

fig. 4 is a block diagram of a category determining apparatus of a wireless network according to an embodiment of the present disclosure.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

To enable those skilled in the art to utilize the present disclosure, the following embodiments are presented in conjunction with a specific application scenario, "network appointment service. It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Although the present application is described primarily in the context of a network appointment service, it should be understood that this is merely one exemplary embodiment. The application can be applied to any other traffic type. For example, the present application may be applied to different transportation system environments, including terrestrial, marine, or airborne, among others, or any combination thereof. The vehicle of the transportation system may include a taxi, a private car, a windmill, a bus, a train, a bullet train, a high speed rail, a subway, a ship, an airplane, a spacecraft, a hot air balloon, or an unmanned vehicle, etc., or any combination thereof. The present application may also include any service system for providing services, for example, a system for sending and/or receiving couriers, a service system for business transactions between buyers and sellers. Applications of the system or method of the present application may include web pages, plug-ins for browsers, client terminals, customization systems, internal analysis systems, or artificial intelligence robots, among others, or any combination thereof.

It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.

The terms "passenger," "requestor," "service person," "service requestor," and "customer" are used interchangeably in this application to refer to an individual, entity, or tool that can request or order a service. The terms "driver," "provider," "service provider," and "provider" are used interchangeably in this application to refer to an individual, entity, or tool that can provide a service. The term "user" in this application may refer to an individual, entity or tool that requests a service, subscribes to a service, provides a service, or facilitates the provision of a service. For example, the user may be a passenger, a driver, an operator, etc., or any combination thereof. In the present application, "passenger" and "passenger terminal" may be used interchangeably, and "driver" and "driver terminal" may be used interchangeably.

The terms "service request" and "order" are used interchangeably herein to refer to a request initiated by a passenger, a service requester, a driver, a service provider, or a supplier, the like, or any combination thereof. Accepting the "service request" or "order" may be a passenger, a service requester, a driver, a service provider, a supplier, or the like, or any combination thereof. The service request may be charged or free.

The Positioning technology used in the present application may be based on a Global Positioning System (GPS), a Global Navigation Satellite System (GLONASS), a COMPASS Navigation System (COMPASS), a galileo Positioning System, a Quasi-Zenith Satellite System (QZSS), a Wireless Fidelity (WiFi) Positioning technology, or the like, or any combination thereof. One or more of the above-described positioning systems may be used interchangeably in this application.

One aspect of the application relates to a category determination method for a wireless network, which can determine the category of a target wireless network at least based on attribute information corresponding to a current position by acquiring the current position of a user when the user terminal of the user is connected with the target wireless network, so that the category of the target wireless network can be automatically identified, and data assistance can be provided for subsequent analysis of interests and hobbies of the user by identifying the category of the target wireless network connected with the user.

Before the application is filed, the category of the wireless network is identified in the prior art by adopting a manual labeling mode, that is, the category of the wireless network is identified manually by acquiring the wireless network connected by a user, so that the category of the wireless network is correspondingly labeled, and data assistance is provided for subsequently mining the relationship network of the user, the interest of the user and the like. However, the method for determining the category of the wireless network can automatically determine the category of the target wireless network, so that the efficiency of identifying the category of the wireless network is improved.

Fig. 1 is a block diagram of a network appointment system 100 according to some embodiments of the present application. For example, the network appointment system 100 may be an online transportation service platform for transportation services such as taxis, designated driving services, express, carpools, bus services, driver rentals, or regular bus services, or any combination thereof. The networked car appointment system 100 may include one or more of a server 110, a network 120, a service requester terminal 130, a service provider terminal 140, and a database 150, and the server 110 may include a processor therein to perform instruction operations.

In some embodiments, the server 110 may be a single server or a group of servers. The set of servers can be centralized or distributed (e.g., the servers 110 can be a distributed system). In some embodiments, the server 110 may be local or remote to the terminal. For example, the server 110 may access information and/or data stored in the service requester terminal 130, the service provider terminal 140, or the database 150, or any combination thereof, via the network 120. As another example, the server 110 may be directly connected to at least one of the service requester terminal 130, the service provider terminal 140, and the database 150 to access stored information and/or data. In some embodiments, the server 110 may be implemented on a cloud platform; by way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud (community cloud), a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof. In some embodiments, the server 110 may be implemented on an electronic device 200 having one or more of the components shown in FIG. 2 in the present application.

In some embodiments, the server 110 may include a processor. The processor may process information and/or data related to the service request to perform one or more of the functions described herein. For example, the processor may determine the target vehicle based on a service request obtained from the service requester terminal 130. In some embodiments, a processor may include one or more processing cores (e.g., a single-core processor (S) or a multi-core processor (S)). Merely by way of example, a Processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a reduced Instruction Set computer (reduced Instruction Set computer), a microprocessor, or the like, or any combination thereof.

Network 120 may be used for the exchange of information and/or data. In some embodiments, one or more components (e.g., server 110, service requester terminal 130, service provider terminal 140, and database 150) in the networked car appointment system 100 may send information and/or data to other components. For example, the server 110 may obtain a service request from the service requester terminal 130 via the network 120. In some embodiments, the network 120 may be any type of wired or wireless network, or combination thereof. Merely by way of example, Network 120 may include a wired Network, a Wireless Network, a fiber optic Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a ZigBee Network, a Near Field Communication (NFC) Network, or the like, or any combination thereof. In some embodiments, network 120 may include one or more network access points. For example, the network 120 may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of the networked car reservation system 100 may connect to the network 120 to exchange data and/or information.

In some embodiments, the user of the service requestor terminal 130 may be someone other than the actual demander of the service. For example, the user a of the service requester terminal 130 may use the service requester terminal 130 to initiate a service request for the service actual demander B (for example, the user a may call a car for his friend B), or receive service information or instructions from the server 110. In some embodiments, the user of the service provider terminal 140 may be the actual provider of the service or may be another person than the actual provider of the service. For example, user C of the service provider terminal 140 may use the service provider terminal 140 to receive a service request serviced by the service provider entity D (e.g., user C may pick up an order for driver D employed by user C), and/or information or instructions from the server 110. In some embodiments, "service requester" and "service requester terminal" may be used interchangeably, and "service provider" and "service provider terminal" may be used interchangeably.

In some embodiments, the service requester terminal 130 may comprise a mobile device, a tablet computer, a laptop computer, or a built-in device in a motor vehicle, etc., or any combination thereof. In some embodiments, the mobile device may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include smart lighting devices, control devices for smart electrical devices, smart monitoring devices, smart televisions, smart cameras, or walkie-talkies, or the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, and the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, or a point of sale (POS) device, or the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like. In some embodiments, the built-in devices in the motor vehicle may include an on-board computer, an on-board television, and the like. In some embodiments, the service requester terminal 130 may be a device having a location technology for locating the location of the service requester and/or service requester terminal.

In some embodiments, the service provider terminal 140 may be a similar or identical device as the service requestor terminal 130. In some embodiments, the service provider terminal 140 may be a device with location technology for locating the location of the service provider and/or the service provider terminal. In some embodiments, the service requester terminal 130 and/or the service provider terminal 140 may communicate with other locating devices to determine the location of the service requester, service requester terminal 130, service provider, or service provider terminal 140, or any combination thereof. In some embodiments, the service requester terminal 130 and/or the service provider terminal 140 may transmit the location information to the server 110.

Database 150 may store data and/or instructions. In some embodiments, the database 150 may store data obtained from the service requester terminal 130 and/or the service provider terminal 140. In some embodiments, database 150 may store data and/or instructions for the exemplary methods described herein. In some embodiments, database 150 may include mass storage, removable storage, volatile Read-write Memory, or Read-Only Memory (ROM), among others, or any combination thereof. By way of example, mass storage may include magnetic disks, optical disks, solid state drives, and the like; removable memory may include flash drives, floppy disks, optical disks, memory cards, zip disks, tapes, and the like; volatile read-write Memory may include Random Access Memory (RAM); the RAM may include Dynamic RAM (DRAM), Double data Rate Synchronous Dynamic RAM (DDR SDRAM); static RAM (SRAM), Thyristor-Based Random Access Memory (T-RAM), Zero-capacitor RAM (Zero-RAM), and the like. By way of example, ROMs may include Mask Read-Only memories (MROMs), Programmable ROMs (PROMs), Erasable Programmable ROMs (PERROMs), Electrically Erasable Programmable ROMs (EEPROMs), compact disk ROMs (CD-ROMs), digital versatile disks (ROMs), and the like. In some embodiments, database 150 may be implemented on a cloud platform. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, across clouds, multiple clouds, or the like, or any combination thereof.

In some embodiments, a database 150 may be connected to the network 120 to communicate with one or more components of the networked car appointment system 100 (e.g., the server 110, the service requester terminal 130, the service provider terminal 140, etc.). One or more components of the networked car appointment system 100 may access data or instructions stored in the database 150 via the network 120. In some embodiments, the database 150 may be directly connected to one or more components in the networked car appointment system 100 (e.g., the server 110, the service requester terminal 130, the service provider terminal 140, etc.); alternatively, in some embodiments, database 150 may also be part of server 110.

In some embodiments, one or more components (e.g., server 110, service requester terminal 130, service provider terminal 140, etc.) in the networked car appointment system 100 may have access to the database 150. In some embodiments, one or more components in network appointment system 100 may read and/or modify information related to the service requester, the service provider, or the public, or any combination thereof, when certain conditions are met. For example, server 110 may read and/or modify information for one or more users after receiving a service request. As another example, the service provider terminal 140 may access information related to the service requester when receiving the service request from the service requester terminal 130, but the service provider terminal 140 may not modify the related information of the service requester.

In some embodiments, the exchange of information by one or more components in the networked car appointment system 100 may be accomplished by requesting a service. The object of the service request may be any product. In some embodiments, the product may be a tangible product or a non-physical product. Tangible products may include food, pharmaceuticals, commodities, chemical products, appliances, clothing, automobiles, homes, or luxury goods, and the like, or any combination thereof. The non-material product may include a service product, a financial product, a knowledge product, an internet product, or the like, or any combination thereof. The internet product may include a stand-alone host product, a network product, a mobile internet product, a commercial host product, an embedded product, or the like, or any combination thereof. The internet product may be used in software, programs, or systems of the mobile terminal, etc., or any combination thereof. The mobile terminal may include a tablet, a laptop, a mobile phone, a Personal Digital Assistant (PDA), a smart watch, a Point of sale (POS) device, a vehicle-mounted computer, a vehicle-mounted television, a wearable device, or the like, or any combination thereof. The internet product may be, for example, any software and/or application used in a computer or mobile phone. The software and/or applications may relate to social interaction, shopping, transportation, entertainment time, learning, or investment, or the like, or any combination thereof. In some embodiments, the transportation-related software and/or applications may include travel software and/or applications, vehicle dispatch software and/or applications, mapping software and/or applications, and the like. In the vehicle scheduling software and/or application, the vehicle may include a horse, a carriage, a human powered vehicle (e.g., unicycle, bicycle, tricycle, etc.), an automobile (e.g., taxi, bus, privatege, etc.), a train, a subway, a ship, an airplane (e.g., airplane, helicopter, space shuttle, rocket, hot air balloon, etc.), etc., or any combination thereof.

Fig. 2 illustrates a schematic diagram of exemplary hardware and software components of an electronic device 200 of a server 110, a service requester terminal 130, a service provider terminal 140, which may implement the concepts of the present application, according to some embodiments of the present application. For example, a processor may be used on the electronic device 200 and to perform the functions herein.

The electronic device 200 may be a general purpose computer or a special purpose computer, both of which may be used to implement the wireless network category determination method of the present application. Although only a single computer is shown, for convenience, the functions described herein may be implemented in a distributed fashion across multiple similar platforms to balance processing loads.

For example, the electronic device 200 may include a network port 210 connected to a network, one or more processors 220 for executing program instructions, a communication bus 230, and a different form of storage medium 240, such as a disk, ROM, or RAM, or any combination thereof. Illustratively, the computer platform may also include program instructions stored in ROM, RAM, or other types of non-transitory storage media, or any combination thereof. The method of the present application may be implemented in accordance with these program instructions. The electronic device 200 also includes an Input/Output (I/O) interface 250 between the computer and other Input/Output devices (e.g., keyboard, display screen).

For ease of illustration, only one processor is depicted in the electronic device 200. However, it should be noted that the electronic device 200 in the present application may also comprise a plurality of processors, and thus the steps performed by one processor described in the present application may also be performed by a plurality of processors in combination or individually. For example, if the processor of the electronic device 200 executes steps a and B, it should be understood that steps a and B may also be executed by two different processors together or separately in one processor. For example, a first processor performs step a and a second processor performs step B, or the first processor and the second processor perform steps a and B together.

Referring to fig. 3, fig. 3 is a flowchart of a method for determining a category of a wireless network according to an embodiment of the present application, where the method is applicable to the server, and the method includes the following steps:

step S110: when a user terminal of a user is connected with a target wireless network, the current position of the user is obtained.

The user terminal is generally connected with a wireless network through a wireless access point, the wireless access point is an access point of the wireless network and is commonly called a 'hot spot', route switching and access integrated equipment and pure access point equipment are mainly used, the integrated equipment performs access and routing work, the pure access equipment is only responsible for access of a wireless client, and the pure access equipment is usually used as the wireless network for expansion.

The wireless network in this embodiment refers to a network implemented by using a wireless communication technology, i.e., WiFi, and includes both a global voice and data network that allows a user to establish a long-distance wireless connection, and an infrared technology and a radio frequency technology that are optimized for a short-distance wireless connection. WiFi is a common wireless network, and with popularization of WiFi, users can be connected with free WiFi to surf the internet at any time outside basically.

In order to acquire the current position of the user when the user connects to the WiFi, that is, when the server detects that the user terminal of the user connects to the target wireless network through the wireless access point, the current position of the user can be acquired through the positioning technology.

The target wireless network is for a wireless network to which a user terminal of a certain user is currently connected, for example, for the user terminal 1, the wireless network 1 to which the user terminal is currently connected is called a target wireless network, and for the user terminal 2, the wireless network 2 to which the user terminal is currently connected can also be called a target wireless network.

It should be noted that, since general user terminals are all carried by users, obtaining the current location of the user is obtaining the current location of the user terminal.

Step S120: and determining the category of the target wireless network at least based on the attribute information corresponding to the current position.

The attribute information corresponding to the location may be a Point of Interest (POI) corresponding to the current location, where the POI is an information Point, for example, a bubble icon is generally used on an electronic map to represent the POI, such as a sight spot, a government agency, a company, a market, a restaurant, and the like on the electronic map, and these may be POIs.

Of course, the attribute information corresponding to the location may also be other information, for example, the category to which the name corresponding to the location belongs, such as the road at the location XX intersection, the business building at the location XX building, the movie theater at the location XX theater, and the entertainment venue at the location XX theater.

After obtaining the attribute information corresponding to the current location of the user, the category of the target wireless network may be determined based on the attribute information corresponding to the current location, and it may be understood that the attribute information corresponding to the current location may be used as the category of the target wireless network. For example, if a user drinks coffee in a coffee shop and connects WiFi of the coffee shop, the current location of the user is obtained through a positioning technology and is the location of the coffee shop, the corresponding attribute information may be the coffee shop or the entertainment place, and then the category of the WiFi may be automatically labeled as the coffee shop or the entertainment place.

It should be noted that, a unified standard may be adopted for determining the attribute information corresponding to the location, for example, the POIs corresponding to the location are all adopted as the attribute information corresponding to the location, and then the POIs corresponding to the location are taken as the category of the WiFi.

Therefore, in this embodiment, when the user terminal of the user is connected to the target wireless network, the current location of the user can be obtained, and then the category of the target wireless network is determined based on the attribute information corresponding to the current location, so that the category of the target wireless network can be automatically identified.

In a possible implementation manner, in order to implement the analysis of the travel behavior of the user, when a user terminal of the user connects to the target wireless network, the current location where the user is currently located when the user performs order operation may be obtained, and then the category of the target wireless network may be determined based on the current location where the user is currently located.

The order execution operation of the user may be an operation of triggering an order request service at the user terminal, an operation of triggering an order completion service at the user terminal, an operation of triggering an order cancellation service at the user terminal, and the like, and the order service may be a network appointment service, a take-out service, a transaction service, and the like.

If the server detects that the user executes order operation and the current user terminal is connected with the target wireless network, the current position where the user is located currently can be obtained through a positioning technology, and then attribute information corresponding to the current position is obtained, so that the category of the target wireless network can be marked as the attribute information corresponding to the current position.

Therefore, when the user terminal is connected with the target wireless network, the current position of the user when the user executes the order request operation is obtained, so that the behavior of the user for connecting the wireless network and the behavior of the user for executing the order request operation can be associated, and the statistics of the related information of the wireless network is facilitated.

In the following, a manner of determining a type of a target wireless network based on attribute information corresponding to a current location where a user is currently located when the user executes the three types of order operations is described, and for convenience of description, the following described embodiments all use a network car booking service as an example, and certainly define a network car booking service scenario.

The first method is as follows: when the current position is a position where the user is located when the user performs an order request operation, that is, when the user performs a taxi taking, the user may input a starting point position and an ending point position of the taxi taking at the user terminal, where the starting point position may be a current position where the user is currently located obtained based on a positioning technology, that is, the starting point position of the taxi taking is consistent with the current position of the user, but there may be a case where the starting point position of the taxi taking is inconsistent with the current position of the user, and at this time, the server may obtain an order starting point position (that is, the starting point position of the taxi taking) input by the user on the user terminal, and then may determine the category of the target wireless network based on attribute information corresponding to the current position and attribute information corresponding to the.

Specifically, taking the attribute information as the POI category corresponding to the location as an example, if the current location is xx building, and the xx building may not be able to identify the POI category, at this time, it may be determined whether the attribute information corresponding to the current location can be identified first, and if the attribute information cannot be identified, the order starting point location is obtained, so that the order starting point location input by the driver is generally an address of a building or a merchant with a landmark property, so that the POI category corresponding to the order starting point location is easily identified, and therefore, when the attribute information corresponding to the current location cannot be identified, the attribute information corresponding to the order starting point location may be used as the category of the target wireless network.

Therefore, when the category of the target wireless network cannot be determined based on the attribute information of the current position, the category of the target wireless network can be determined together based on the attribute information corresponding to the current position and the attribute information corresponding to the order starting position, and the accuracy of identifying the category of the wireless network is improved.

Or, if the POI category corresponding to the current location can be identified, but if some POI categories are taken as categories of the wireless network, there is not much effect on subsequent behavioral interest analysis on the user, so it can be further determined whether the POI category corresponding to the current location is a category that meets a preset condition, where the preset condition is that the POI category corresponding to the location is a category that has a behavioral interest and/or habit representing the user. It can be understood that, since each location has a corresponding POI category in the electronic map, but the POI categories are roads, certain lanes, certain unidentified convenience stores, or business businesses that only know names (cannot identify business of the business), for example, these categories may be taken as categories that are excluded from the preset conditions, that is, other categories that can be used to represent behavioral interests and/or habits of the user, such as scenic spots, movie theaters, coffee shops, etc., besides these categories, if the POI category corresponding to the current location is these categories, it is indicated that the POI category corresponding to the current location satisfies the preset conditions, and of course, the above-mentioned categories that are excluded from the preset conditions may be defined according to time requirements.

Therefore, when the POI category corresponding to the current position is judged to be unavailable, the category of the target wireless network can be determined to be the POI category corresponding to the starting position of the order, and therefore the accuracy of identifying the category of the wireless network is improved.

In addition, considering that the distance between the order starting position and the current position of the user may be far away, if the user takes a car for another person, or the user needs to get to the order starting position and then take the car, if the distance between the order starting position and the current position is far away, it is obviously inaccurate to take the POI category corresponding to the order starting position as the category of the target wireless network, it may be further determined whether the distance between the current position and the order starting position is less than or equal to the preset distance, and if the distance between the current position and the order starting position is less than or equal to the preset distance, it is determined that the category of the target wireless network is the POI category corresponding to the order starting position.

The preset distance may be set according to an actual situation, for example, the preset distance may be 30 meters, 50 meters, 100 meters, and the like, and when the distance between the current position and the order starting position is less than or equal to the preset distance, the POI category corresponding to the order starting position is used as the category of the target wireless network, so that the accuracy of the category of the target wireless network can be ensured, and the problem that when the distance is long, if the POI category corresponding to the order starting position is determined as the category of the target wireless network, the POI category is inaccurate is solved.

Of course, if the distance between the current position of the user and the starting position of the order is greater than the preset distance, the target position closest to the current position is obtained, and the distance between the target position and the current position is smaller than or equal to the preset distance, the category of the target wireless network is determined to be the POI category corresponding to the target position, so that the category of the target wireless network can meet the preset condition, and powerful data support is provided for subsequent analysis of user behavior interest.

Specifically, if the preset distance is set to 100 meters, if the distance between the current position and the order starting position is greater than 100 meters, at this time, in order to ensure the accuracy of the category of the target wireless network, it is obvious that the POI category corresponding to the order starting position cannot be adopted as the category of the target wireless network, but the POI category corresponding to the current position does not satisfy the preset condition, that is, the POI category corresponding to the current position cannot be identified, or does not satisfy the category set in the preset condition, the target position meeting the preset condition in the periphery of the current position can be obtained, that is, the POI category corresponding to the target position is the category set in the preset condition, and the POI category corresponding to the target position can be taken as the category of the target wireless network.

For example, when the current location is the xx intersection, the corresponding POI category is a road, which obviously does not satisfy the preset condition, the order starting point is an xx shop 150 meters away from the xx intersection, and obviously the order starting point also does not satisfy the condition, so that the target location closest to the current location can be searched at this time, for example, a plurality of locations within a preset distance from the current location can be detected, then distances between the plurality of locations and the current location are calculated, and then the location with the smallest distance to the current location is obtained as the target location, if it is detected that xx buildings and xx convenience stores are located around the current location, and the POI category corresponding to the xx building is an office building, the category corresponding to the xx convenience store is a convenience store, which all satisfy the preset condition, then the distances between the xx building and the current location are calculated, and the distances between the xx convenience stores and the current location are calculated, then comparing the distance, and taking the minimum distance as the target position closest to the current position.

In a possible implementation manner, in the process of taking the POI category corresponding to the order starting position as the category of the target wireless network, in order to ensure that the POI category corresponding to the order starting position meets the category of the preset condition, it may be further determined whether the POI category corresponding to the order starting position meets the category of the preset condition, and if so, the category of the target wireless network is determined to be the POI category corresponding to the order starting position, so that the category of the target wireless network can meet the preset condition, and a powerful data support is provided for subsequent analysis of user behavioral interest.

The mode that the POI category corresponding to the order starting position is the category that meets the preset condition is consistent with the above-mentioned mode that the POI category corresponding to the current position is the category that meets the preset condition, and is not described herein in detail.

Of course, it can be understood that, if the POI category corresponding to the order starting position does not satisfy the category of the preset condition, the above-mentioned target position with the closest distance around the current position may be detected, and the POI category corresponding to the target position may be used as the category of the target wireless network.

The method is characterized in that the current position of the user is the position of the user when the user executes the order request operation, and the type of the target wireless network is determined based on the attribute information corresponding to the current position and the attribute information corresponding to the starting position of the order input by the user at the user terminal when the user executes the order request operation, so that the type of the target wireless network can be more accurately determined, and powerful data support is provided for the user behavior or the relationship network mining of the user based on the type of the wireless network.

The second method comprises the following steps: the current position of the user can also be the position of the user when the user performs order operation, for example, when the user completes car service, the user can check prompt information for completing the car service at a user terminal, or the server can acquire order ending operation triggered by the driver through a driver terminal, at this time, the server can acquire the current position of the user, and then the type of the target wireless network is determined based on attribute information corresponding to the current position.

Of course, the implementation manner in the second implementation manner may also include the implementation manner in the first implementation manner, for example, the order end position included in the order after the order is completed may also be an order end position input by the user when the order request operation is performed, and of course, the order end position may also be a trip destination changed by the user in the trip process, and the trip destination is the order end position. The category of the target wireless network may then be determined based on the attribute information corresponding to the current location and the attribute information corresponding to the order destination location.

The type of the target wireless network may be determined to be similar to the specific implementation manner in the first manner based on the attribute information corresponding to the current position and the attribute information corresponding to the order destination position, and for brevity of description, redundant description is not repeated here.

The third method comprises the following steps: when the current position of the user is the position of the user when the user performs the order cancellation operation, the type of the target wireless network can be determined based on attribute information corresponding to the position of the user when the user performs the order cancellation operation, and the position of the user when the user performs the order cancellation operation by the user before the order is started may be the position of the user when the user performs the order cancellation operation before the order is started, or may be the position of the user when the user performs the order cancellation operation in the process after the order is started but before the order is not completed.

Of course, when the user performs the order cancel operation, the location where the user is located is the current location, and the category of the target wireless network may be determined according to the attribute information corresponding to the current location, and of course, the location where the user performs the order cancel operation may be the location where the user performs the order request operation, or a location that is not far away from the location where the user performs the order request operation. However, if the user performs the order cancellation operation and cancels the order cancellation operation during the course of the trip, the type of the target wireless network may be determined based on the attribute information corresponding to the current location.

For example, when the attribute information corresponding to the position where the user is located when the user performs the order cancellation operation cannot be determined, a target position around the position that meets a preset condition may also be obtained, and the category of the target wireless network is determined based on the attribute information corresponding to the target position, and for simplicity of description, specific implementation of other embodiments is not described in detail herein.

Therefore, in order to obtain more data volume, the location where the user is located when the user performs the order completion operation or the order cancellation operation may also be obtained, and then the category of the target wireless network may be determined based on the attribute information corresponding to the location, so that the category of the target wireless network may be determined based on more data.

In addition, on the basis of any of the above embodiments, after determining the category of the target wireless network based on at least the attribute information of the current location, the method further includes: and acquiring all the categories marked on the target wireless network, then counting the number of the same categories in all the categories, and selecting the category with the largest number as the main category of the target wireless network.

Therefore, because the types of the target wireless network may be determined to be different based on different positions, all the types of the target wireless network can be counted, and then the main type of the target wireless network can be determined, so that the main type of the target wireless network can be determined based on a large amount of data, and the accuracy of determining the type of the wireless network is improved.

For example, for a network appointment service scenario, the server may obtain a plurality of service orders for the network appointment, where each service order includes a category of a wireless network to which the user connects when performing the request order operation, and/or a category of a wireless network to which the user connects when performing the order cancellation operation, and/or a category of a wireless network to which the user connects when performing the order completion operation.

Therefore, each wireless network may correspond to a plurality of categories, for example, for a target wireless network, three categories of movie theaters, shopping malls and xx convenience stores may be counted from a plurality of orders, where if the number of movie theater categories corresponding to the target wireless network in the plurality of orders is 50, the number of shopping malls is 40, and the number of xx convenience store categories is 23, the movie theater categories may be used as the primary category of the target wireless network, and of course, the target wireless network may also have a secondary category, which may be a plurality of secondary categories, such as the secondary category of the target wireless network is a shopping mall and an xx convenience store.

For example, in a certain order, the order information includes an order issuing time (i.e., a time when the user performs an order requesting operation), a time when the user terminal connects to the wireless network, an order starting position, a name of the wireless network at a current location where the user is currently located, an identifier of the user terminal, a transmitting position of the wireless network, and a category of the wireless network, and may further include a time when the user performs an order completing operation, a time when the user terminal connects to the wireless network, an order ending position, a current location where the user is located when the user performs an order completing operation, a transmitting position of the wireless network connected to the user terminal, a name of the wireless network, and a category of the wireless network. Of course, if the user cancels the order in the middle, the order information includes some information when the user performs the order request operation, and may further include the time when the user performs the order cancellation operation, the time of the wireless network to which the user terminal is connected, the current location of the user, the name and the transmission location of the wireless network, the category, and the like.

In order to facilitate statistics, the obtained orders are orders of a complete trip, that is, the orders include some information when the user performs an order request operation and some information when the user performs an order completion operation, and in the orders, the order in which the difference between the time when the user performs the order request operation and the time of the wireless network connected to the user terminal of the user is within a preset time and the difference between the current position of the user and the transmitting position of the wireless network is within a preset distance can be deleted.

The order with the time difference between the time for the user to execute the order request operation and the time of the wireless network connected with the user terminal of the user being the preset time is selected to avoid that the time for the user to execute the order operation and the time for the wireless network connection have too great difference to cause the position of the user to possibly change, so that the category of the wireless network recorded in the order is wrong, and the difference between the current position of the user and the transmitting position of the wireless network is the preset distance to avoid that the category of the wireless network recorded in the order is wrong if the current position of the user is too far away from the transmitting position of the wireless network.

The method for obtaining the transmitting position of the wireless network comprises the following steps: and acquiring logs through the wireless network to obtain the name of the wireless network when the user terminal of the user is connected with the wireless network, the position of the user and the time of connecting the user terminal with the wireless network.

For a target unable network, the time and the position of a plurality of user terminals connecting with the target wireless network and the name of the target wireless network can be obtained, and since the user terminals of the users can be connected with the target wireless network at different positions, the central point of the positions where the user terminals are connected with the target wireless network can be used as the transmitting position of the target wireless network.

When the wireless network category in the deleted multiple orders is counted, for a target wireless network, the order number of the target wireless network connected when the user performs the order request operation is counted, the category of the target wireless network is obtained from the orders, then the category with the largest number is used as the main category of the target wireless network, in order to further confirm the main category of the target wireless network, the order number of the target wireless network connected when the user performs the order completion operation can also be counted, then the category of the target wireless network is obtained from the orders, the category with the largest number is used as the main category of the target wireless network, then the two main categories are compared, if the two main categories are the same, the main category is used as the final main category of the target wireless network, and if the two main categories are different, it indicates that the primary category of the target wireless network may be inaccurate, and further more orders may be counted to finally obtain the primary category of the target wireless network.

Referring to fig. 4, fig. 4 is a block diagram illustrating a structure of an apparatus 300 for determining a category of a wireless network according to an embodiment of the present application, the apparatus including:

a user location obtaining module 310, configured to obtain a current location of a user when a user terminal of the user connects to a target wireless network;

a category determining module 320, configured to determine a category of the target wireless network based on at least the attribute information corresponding to the current location.

In a possible design, the user location obtaining module 310 is specifically configured to, when a user terminal of a user connects to a target wireless network, obtain a current location where the user is currently located when the user performs an order operation.

In one possible design, the current location is a location where the user is located when the user performs an order request operation, and the apparatus further includes:

an order starting point position obtaining module, configured to obtain an order starting point position input by the user at the user terminal when the user performs the order request operation;

the category determining module 320 is further configured to determine a category of the target wireless network based on the attribute information corresponding to the current location and the attribute information corresponding to the order starting point location.

In a possible design, the attribute information is a POI category of a point of interest corresponding to a location, and the category determining module 320 is further configured to determine whether the POI category corresponding to the current location is a category that meets a preset condition, where the preset condition indicates that the POI category corresponding to the location is a category that has an interest and/or habit representing a user behavior; and if not, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

In a possible design, the category determining module 320 is further configured to obtain a distance between the current location and the order starting point location; and if the distance is smaller than or equal to the preset distance, determining the category of the target wireless network to be the POI category corresponding to the starting position of the order.

In a possible design, the category determining module 320 is further configured to determine whether the POI category corresponding to the order starting position is a category meeting the preset condition; if yes, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

In one possible design, the current location is a location where the user was when the user performed an order completion operation, and the apparatus further includes: the order end position acquisition module is used for acquiring an order end position contained in the order after the order is completed; the category determining module 320 is further configured to determine a category of the target wireless network based on the attribute information corresponding to the current location and the attribute information corresponding to the order destination location.

In a possible design, the current location is a location where the user is located when the user performs an order cancellation operation, and the category determining module 320 is further configured to determine the category of the target wireless network based on attribute information corresponding to the location where the user is located when the user performs the order cancellation operation.

In one possible design, the apparatus further includes: a master category determining module 320, configured to obtain all categories marked for the target wireless network; counting the number of the same category in all the categories; selecting the largest number of categories as the primary categories for the target wireless network.

The embodiment of the present application provides a readable storage medium, and when being executed by a processor, the computer program performs the method process performed by the electronic device in the method embodiment shown in fig. 3.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method, and will not be described in too much detail herein.

In summary, embodiments of the present application provide a method, an apparatus, an electronic device, and a storage medium for determining a category of a wireless network, where the method obtains a current location of a user when a user terminal of the user connects to a target wireless network, and then determines a category of the target wireless network based on at least attribute information corresponding to the current location. Therefore, the type of the target wireless network is determined by acquiring the current position of the user when the user terminal of the user is connected with the target wireless network and then based on the attribute information corresponding to the current position of the user, compared with the mode of manually marking the type of the wireless network in the prior art, the method and the device can automatically identify the type of the wireless network, and the efficiency of identifying the type of the wireless network is improved.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. 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.

In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

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

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims

1. A method for class determination for a wireless network, the method comprising:

when a user terminal of a user is connected with a target wireless network, acquiring the current position of the user;

and determining the category of the target wireless network at least based on the attribute information corresponding to the current position.

2. The method of claim 1, wherein obtaining the current location of the user when the user terminal of the user connects to the target wireless network comprises:

when a user terminal of a user is connected with a target wireless network, the current position of the user when the user executes order operation is obtained.

3. The method according to claim 2, wherein the current location is a location where the user is located when the user performs the order request operation, and before determining the category of the target wireless network based on at least attribute information corresponding to the current location, the method further comprises:

acquiring an order starting position input by the user at the user terminal when the user executes the order request operation;

determining the category of the target wireless network at least based on the attribute information corresponding to the current position, including:

and determining the category of the target wireless network based on the attribute information corresponding to the current position and the attribute information corresponding to the order starting position.

4. The method of claim 3, wherein the attribute information is a POI (point of interest) category corresponding to a location, and determining the category of the target wireless network based on at least the attribute information corresponding to the current location and the attribute information corresponding to the order starting point location comprises:

judging whether the POI category corresponding to the current position is a category meeting a preset condition, wherein the preset condition refers to that the POI category corresponding to the position is a category with representation of user behavior interest and/or habits;

and if not, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

5. The method of claim 4, wherein determining the category of the target wireless network as the POI category corresponding to the order starting point location comprises:

acquiring the distance between the current position and the starting position of the order;

and if the distance is smaller than or equal to the preset distance, determining the category of the target wireless network to be the POI category corresponding to the starting position of the order.

6. The method of claim 5, wherein after obtaining the distance between the current location and the order starting location, further comprising:

if the distance is greater than the preset distance, acquiring a target position closest to the current position, wherein the distance between the target position and the current position is less than or equal to the preset distance;

and determining the category of the target wireless network as the POI category corresponding to the target position.

7. The method of claim 4, wherein determining the category of the target wireless network as the POI category corresponding to the order starting point location comprises:

judging whether the POI category corresponding to the order starting position is a category meeting the preset condition or not;

if yes, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

8. The method of claim 2, wherein the current location is a location where the user is located when the user performs an order completion operation, and before determining the category of the target wireless network based on at least attribute information corresponding to the current location, the method further comprises:

obtaining an order end point position contained in an order after the order is completed;

and determining the category of the target wireless network based on the attribute information corresponding to the current position and the attribute information corresponding to the order end position.

9. The method of claim 2, wherein the determining the category of the target wireless network based on at least attribute information corresponding to the current location, where the current location is a location where the user is located when the user performs an order cancellation operation, comprises:

and determining the category of the target wireless network based on the attribute information corresponding to the position of the user when the user executes the order cancellation operation.

10. The method according to any of claims 1-9, wherein after determining the category of the target wireless network based on at least the attribute information corresponding to the current location, further comprising:

acquiring all categories marked for the target wireless network;

counting the number of the same category in all the categories;

selecting the largest number of categories as the primary categories for the target wireless network.

11. An apparatus for class determination for a wireless network, the apparatus comprising:

the system comprises a user position acquisition module, a target wireless network acquisition module and a target wireless network acquisition module, wherein the user position acquisition module is used for acquiring the current position of a user when the user terminal of the user is connected with the target wireless network;

and the category determining module is used for determining the category of the target wireless network at least based on the attribute information corresponding to the current position.

12. The apparatus according to claim 11, wherein the user location obtaining module is specifically configured to, when a user terminal of a user connects to a target wireless network, obtain a current location where the user is currently located when the user performs an order operation.

13. The apparatus of claim 12, wherein the current location is a location where the user was when the user performed the order request operation, the apparatus further comprising:

the category determining module is further configured to determine a category of the target wireless network based on the attribute information corresponding to the current location and the attribute information corresponding to the order starting point location.

14. The apparatus according to claim 13, wherein the attribute information is a POI category of a point of interest corresponding to a location, and the category determining module is further configured to determine whether the POI category corresponding to the current location is a category that meets a preset condition, where the preset condition indicates that the POI category corresponding to the location is a category that has an interest and/or habit representing a user behavior; and if not, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

15. The apparatus of claim 14, wherein the category determining module is further configured to obtain a distance between the current location and the order starting location; and if the distance is smaller than or equal to the preset distance, determining the category of the target wireless network to be the POI category corresponding to the starting position of the order.

16. The apparatus according to claim 15, wherein the category determining module is further configured to, if the distance is greater than the preset distance, obtain a target location closest to the current location, where a distance between the target location and the current location is less than or equal to the preset distance; and determining the category of the target wireless network as the POI category corresponding to the target position.

17. The apparatus according to claim 14, wherein the category determining module is further configured to determine whether the POI category corresponding to the order starting point location is a category that meets the preset condition; if yes, determining the category of the target wireless network as the POI category corresponding to the order starting point position.

18. The apparatus of claim 12, wherein the current location is a location where the user was when the user performed an order completion operation, the apparatus further comprising:

the order end position acquisition module is used for acquiring an order end position contained in the order after the order is completed;

the category determining module is further configured to determine a category of the target wireless network based on the attribute information corresponding to the current location and the attribute information corresponding to the order destination location.

19. The apparatus according to claim 12, wherein the current location is a location where the user is located when the user performs the order cancellation operation, and the category determining module is further configured to determine the category of the target wireless network based on attribute information corresponding to the location where the user is located when the user performs the order cancellation operation.

20. The apparatus of any of claims 11-19, further comprising:

a main category determining module, configured to obtain all categories marked for the target wireless network; counting the number of the same category in all the categories; selecting the largest number of categories as the primary categories for the target wireless network.

21. An electronic device comprising a processor and a memory, said memory storing computer readable instructions which, when executed by said processor, perform the steps of the method of any of claims 1-10.

22. A readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 10.