CN110839205A - WiFi-based resource recommendation method and device - Google Patents
WiFi-based resource recommendation method and device Download PDFInfo
- Publication number
- CN110839205A CN110839205A CN201911088857.2A CN201911088857A CN110839205A CN 110839205 A CN110839205 A CN 110839205A CN 201911088857 A CN201911088857 A CN 201911088857A CN 110839205 A CN110839205 A CN 110839205A
- Authority
- CN
- China
- Prior art keywords
- wifi
- intelligent terminal
- fingerprint data
- position information
- recommended
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
Abstract
The embodiment of the application discloses a resource recommendation method and device based on WiFi, wherein the method comprises the following steps: acquiring a positioning request of an intelligent terminal, wherein the positioning request comprises WiFi fingerprint data of the intelligent terminal; the WiFi fingerprint data is used for identifying the signal strength of WiFi found by the intelligent terminal; determining the position information of the intelligent terminal according to the WiFi fingerprint data; determining corresponding recommended resources according to the position information; and returning the recommended resources to the intelligent terminal. Accurate position location can be achieved according to the WiFi fingerprint data. After the position information of the intelligent terminal is determined, the recommended resource related to the position information can be determined according to the position information, and the resource recommendation based on the WiFi positioning function is realized by returning the recommended resource to the intelligent terminal, so that the application of the WiFi technology is enriched.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a WiFi-based resource recommendation method and apparatus.
Background
WiFi belongs to a wireless networking technology, and can be deployed through equipment such as a wireless router and provide internet access service for an intelligent terminal connected with WiFi.
Because the indoor personnel in public places are dense, the communication signal of the intelligent terminal is generally weak, and the high-quality internet surfing experience is difficult to provide. Therefore, the public places, especially the buildings, are mostly covered by the WiFi signals provided by the property and the business. The user can select to connect WiFi through the intelligent terminal so as to use the internet access service provided by WiFi.
At present, the application of the WiFi technology is mainly the internet access service in the above scenario, and the role is single.
Disclosure of Invention
In order to solve the technical problem, the application provides a resource recommendation method and device based on WiFi, and application of the WiFi technology is enriched.
The embodiment of the application discloses the following technical scheme:
in a first aspect, an embodiment of the present application provides a WiFi-based resource recommendation method, where the method includes:
acquiring a positioning request of an intelligent terminal, wherein the positioning request comprises WiFi fingerprint data of the intelligent terminal; the WiFi fingerprint data is used for identifying the signal strength of WiFi found by the intelligent terminal;
determining the position information of the intelligent terminal according to the WiFi fingerprint data;
determining corresponding recommended resources according to the position information;
and returning the recommended resources to the intelligent terminal.
In a second aspect, an embodiment of the present application provides a WiFi-based resource recommendation device, where the device includes an obtaining unit, a first determining unit, a second determining unit, and a returning unit:
the acquisition unit is used for acquiring a positioning request of the intelligent terminal, wherein the positioning request comprises WiFi fingerprint data of the intelligent terminal; the WiFi fingerprint data is used for identifying the signal strength of WiFi found by the intelligent terminal;
the first determining unit is used for determining the position information of the intelligent terminal according to the WiFi fingerprint data;
the second determining unit is used for determining the corresponding recommended resource according to the position information;
and the return unit is used for returning the recommended resources to the intelligent terminal.
In a third aspect, an embodiment of the present application provides an implementation device for a WiFi-based resource recommendation method, where the implementation device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the WiFi-based resource recommendation method of the first aspect according to instructions in the program code.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium is configured to store program codes, and the program codes are configured to execute the WiFi-based resource recommendation method according to the first aspect.
According to the technical scheme, when the positioning request of the intelligent terminal is obtained, the WiFi fingerprint data of WiFi signal strength which can be found by the intelligent terminal can be reflected when the intelligent terminal sends the positioning request can be determined through the positioning request. Accurate position location can be realized according to wiFi fingerprint data, even intelligent terminal is in intensive indoor, also can accurate definite intelligent terminal's positional information. After the position information of the intelligent terminal is determined, the recommended resource related to the position information can be determined according to the position information, and the resource recommendation based on the WiFi positioning function is realized by returning the recommended resource to the intelligent terminal, so that the application of the WiFi technology is enriched.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic view of an application scenario of a WiFi-based resource recommendation method according to an embodiment of the present application;
fig. 2 is a flowchart of a WiFi-based resource recommendation method provided in an embodiment of the present application;
fig. 3 is a flowchart of a method for generating a location fingerprint database according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a user interface provided by an embodiment of the present application;
fig. 5 is a flowchart of a WiFi-based resource recommendation method provided in an embodiment of the present application;
FIG. 6 is a schematic diagram of a user interface provided by an embodiment of the present application;
FIG. 7 is a flow chart of a product side method according to an embodiment of the present disclosure;
FIG. 8 is a schematic diagram of a product side application provided by an embodiment of the present application;
fig. 9a is a block diagram of a WiFi-based resource recommendation device according to an embodiment of the present application;
fig. 9b is a block diagram of a WiFi-based resource recommendation device according to an embodiment of the present application;
fig. 9c is a block diagram of a WiFi-based resource recommendation device according to an embodiment of the present application;
fig. 9d is a block diagram of a WiFi-based resource recommendation device according to an embodiment of the present application;
fig. 9e is a block diagram of a WiFi-based resource recommendation device according to an embodiment of the present application;
fig. 9f is a block diagram of a WiFi-based resource recommendation device according to an embodiment of the present application;
fig. 10 is a block diagram of an offline data device according to an embodiment of the present application;
fig. 11 is a block diagram of an implementation apparatus for an interactive function according to an embodiment of the present application;
fig. 12 is a block diagram of a server according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the accompanying drawings.
The existing WiFi technology is mainly applied to providing internet access services in public places, after a user is connected to WiFi through an intelligent terminal, the intelligent terminal lacks information feedback for WiFi connection, and simultaneously, the attribute information such as signal strength, WiFi name and the like of the WiFi is also lack of reasonable utilization, so that the application range of the WiFi technology is narrow, and the effect is single.
In order to solve the above technical problem, an embodiment of the present application provides a WiFi-based resource recommendation method, which may position a user location by using attribute information included in WiFi, perform resource recommendation according to the user location, and expand an application of a WiFi technology.
It will be appreciated that the method may be applied to a server, such as a location server providing location services.
In order to facilitate understanding of the technical solution of the present application, a WiFi-based resource recommendation method provided in the embodiments of the present application is introduced below in combination with an actual application scenario.
Referring to fig. 1, fig. 1 is a schematic view of an application scenario of a WiFi-based resource recommendation method provided in an embodiment of the present application. The application scenario includes a server 101 and an intelligent terminal 102. When the intelligent terminal 102 is in the WiFi connection state, the server 101 obtains a positioning request of the intelligent terminal device. And the positioning request comprises WiFi fingerprint data of the intelligent terminal. The WiFi fingerprint data is a set of WiFi with a plurality of different signal strengths that the smart terminal can recognize, and one WiFi fingerprint data includes names of a plurality of WiFi and respective signal strengths. For example, when the smart terminal is located in a certain commercial street, the WiFi fingerprint data sent to the server may include: WiFi (signal strength of 3) in a clothing store, WiFi (signal strength of 2) in a shoe and bag store, WiFi (signal strength of 4) in a snack store and WiFi (signal strength of 1) in a movie theater. Because the distances between each geographical position and each WiFi signal source are different, the received WiFI signals and the respective signal strengths are also different, so that the combination of the WiFi signal strengths on each geographical position is unique, and WiFi fingerprint data corresponding to each geographical position are formed. Therefore, after acquiring the WiFi fingerprint data sent by the smart terminal 102, the server 101 may determine the location information of the smart terminal 102 through the data.
After the server 101 determines the location information of the intelligent terminal 102, the corresponding recommended resource is determined according to the location information. Recommended resources refer to various types of resources in the vicinity of the determined location of the smart terminal 102, including various types of resources or a particular scene resource. Type resources include parent-child resources, dietary resources, lodging resources, etc., such as which restaurants, hotels, fairs, etc. are nearby; the specific scene resource can be a specific tourist attraction, a specific characteristic menu, etc.
After determining the recommended resources, the server 101 returns the recommended resources to the intelligent terminal 102, so that the user can acquire resource information related to the position of the user in a WiFi connection state, and convenience is provided for the user to go out.
The position of the user is determined by utilizing the WiFi fingerprint information in the positioning request sent by the intelligent terminal, and the recommended resource corresponding to the position is provided for the user, so that the user can better adapt to and be familiar with the scene, the application level of the WiFi technology is expanded, and the application mode of the WiFi technology is enriched.
Next, a WiFi-based resource recommendation method provided by the embodiments of the present application will be described with reference to the drawings.
Referring to fig. 2, fig. 2 shows a flowchart of a WiFi-based resource recommendation method, the method comprising:
s201: and the intelligent terminal sends a positioning request to the server.
When the intelligent terminal is in a WiFi connection state, in order to acquire peripheral resource information of the position, the intelligent terminal sends a positioning request to the server, and the positioning request comprises WiFi fingerprint data corresponding to the position of the intelligent terminal. The WiFi signal names which can be received by the intelligent terminal and the strength of the WiFi signals are included in the WiFi fingerprint data.
In a possible implementation manner, in order to enable a user to quickly and timely acquire peripheral resource information, the intelligent terminal may send a positioning request to the server when the WiFi is connected.
It can be understood that, when it is required to provide personalized recommended resources for the user, in order to identify the identity characteristics of the user, the location request sent by the intelligent terminal may further include a user identifier.
In one implementation, the server may further filter the received WiFi fingerprint data, and filter out problematic fingerprint data and incomplete fingerprint data therein, for example, WiFi fingerprint data lacking a WiFi name or part of WiFi signal strength, so as to perform subsequent WiFi fingerprint data comparison.
S202: and the server determines the position information of the intelligent terminal according to the WiFi fingerprint data.
After receiving the position information sent by the intelligent terminal, the server determines the geographical position of the intelligent terminal according to the WiFi fingerprint data in the intelligent terminal.
In a possible implementation manner, an offline data system is provided inside the server, the offline data system includes a positioning fingerprint database, and the positioning fingerprint database includes WiFi fingerprint data corresponding to each geographic location. The step of generating the location fingerprint database is shown in fig. 3, and includes:
s301: and receiving the reported WiFi fingerprint data.
The offline data system receives WiFi fingerprint data reported by various software, such as a WiFi housekeeper, a mobile phone housekeeper and the like. It can be understood that the reported WiFi fingerprint data includes not only the signal strength of each WiFi, but also the geographical location of the terminal where the software for reporting the WiFi fingerprint data is installed.
S302: preprocessing WiFi fingerprint data
After the offline data system receives the reported WiFi fingerprint data, the data are preprocessed, some invalid dirty data in the received WiFi data are removed, for example, some data with fuzzy WiFi names, missing signal strength, lack of position information and the like, and valuable WiFi fingerprint data are reserved.
S303: and carrying out format conversion on the WiFi fingerprint data.
After the offline data system acquires valuable WiFi fingerprint data, format conversion is carried out on the WiFi fingerprint data, and the WiFi fingerprint data are converted into format information capable of being stored.
S304: and compressing the WiFi fingerprint data.
After the offline data system performs format conversion on the WiFi fingerprint data, in order to save storage space and store more data, the WiFi fingerprint data may be compressed.
S305: and storing the WiFi fingerprint data into a positioning fingerprint database.
It can be understood that the location fingerprint database stores compressed WiFi fingerprint data and location information corresponding to the data.
After receiving the WiFi fingerprint data, the server compares the WiFi fingerprint data with WiFi fingerprints in the positioning fingerprint database, finds out the same WiFi fingerprint data in the positioning fingerprint database, and then obtains corresponding position information from the data in the database, so that the position information of the intelligent terminal is determined.
S203: and the server determines the corresponding recommended resource according to the position information.
And after the server determines the position information of the intelligent terminal, determining the corresponding recommended resource according to the position information. The recommended resources may include various consumer places, entertainment facilities, etc. around the location information, such as movie theaters, restaurants, etc., among others. The recommended resource can be a kind of resource, such as a catering resource, an entertainment facility resource and the like; or may be a particular resource such as a particular casino, mall, etc.
In a possible implementation manner, the server may determine a region type where the intelligent terminal is located according to the location information, and determine the corresponding recommended resource according to the location information and the region type corresponding to the location information. The region type refers to the type of the position where the position information is located, for example, the type of the intelligent terminal located in a restaurant, a shopping mall, a movie theater, and the like. When the intelligent terminal is positioned in a restaurant, the fact that the user of the intelligent terminal has high probability of being WiFi connected when the user has a meal in the restaurant is shown, and at the moment, the server can determine places where the users around the restaurant frequently go after having a meal, such as a cinema and a singing hall, as recommended resources, and does not recommend resource information of the restaurant and the like any more; when the intelligent terminal is located at an airport, the user of the intelligent terminal can be a passenger just getting off an airplane, and WiFi is connected to the airport, and the server can determine restaurants, hotels and the like around the airport as recommended resources.
In a possible implementation manner, the server may determine, according to the user identifier and the location information, the corresponding recommended resource in the positioning request received by the server. The user identifier may include work performed by the user, age, sex, family condition, and the like. The server can judge the crowd category, such as business people, parents and the like, to which the user belongs according to the user identification. When the server judges that the user is a parent and the geographic position is located in a shopping mall, as shown in fig. 4, the mother and infant supply shop and the parent-child entertainment facilities in the shopping mall can be determined as recommended resources, the user can see the recommended resources of the peripheral mother and infant supply shop, the parent-child interaction experience shop and the parent-child facilities from the intelligent terminal, and further, the user can check which shops, scores of the shops, per capita consumption information and the like included by the user by clicking a check button.
In a possible implementation manner, the server may further specify a resource classification according to the user identifier, and determine recommended resources from the resources under the specified resource classification. For example, when the server determines that the user is a business person according to the user identifier, the specified resource classification may be a business person classification, the business person classification may include a bookstore, a coffee shop, a competitive western style restaurant and the like, and the server determines the resource recommended to the user according to the location information in the business person classification.
In one possible implementation, the recommended resources may include services provided by points of interest determined by the server based on the location information. A Point of interest (POI) refers to a place with rich address and scene information, such as a large commercial square, a large amusement park, and the like. In order to determine the interest point according to the location information, in a possible implementation manner, a first corresponding relationship between WiFi fingerprint data and the interest point may be established, a second corresponding relationship between the interest point and a service may be established according to the service provided by the interest point, and an association library may be established according to the first corresponding relationship and the second corresponding relationship, where the association library includes corresponding relationships among WiFi fingerprint data, the interest point, and the service. Wherein, determining the corresponding recommended resource according to the position information comprises: determining corresponding recommended resources by searching the association library according to the position information; the recommended resources include points of interest and/or services.
The offline data system in the server can bind the WiFI fingerprint data with the geographic position around the interest point with the interest point according to the position of the interest point to form a corresponding relation. Meanwhile, in order to determine the services which can be provided by the interest points, the offline data system can acquire the service information included by the interest points and bind the service information with the interest points to form a corresponding relation between the services and the interest points, so that when the server acquires the recommended resources according to the WiFi fingerprint data, the interest points can be determined according to the position information, the service information is further acquired according to the interest points, and the corresponding relation among the WiFi fingerprint data, the interest points and the services is further formed.
Wherein, the position of the interest point can be crawled by a crawler technology; the service information corresponding to the interest points can be acquired by integrating the third-party service data. In addition, the service provided by the point of interest often has a corresponding service page, e.g., a restaurant in a commercial area has a page containing information on dishes, business hours, floor locations, etc. The service page can enable the user to know the service provided by the interest point more clearly and in detail, and therefore the server can add the service page into the recommended resource and send the recommended resource to the intelligent terminal of the user. In order to realize the correspondence between the service page and the service, an offline data system in the server can crawl the information of the service page through an entity crawler and bind the service page with the service to form the correspondence between the service and the service page. It can be understood that the server can bind any service with its service page and send it to the intelligent terminal as a recommended resource, not just the service provided by the point of interest.
It can be understood that not all the points of interest need to be recommended, and some points of interest cannot be recommended as recommended resources, for example, public offices and private residences also include rich address and scene information, but cannot be recommended as recommended resources. Therefore, the offline data system in the server may further include a blacklist function, and these points of interest that cannot be used as recommended resources are listed in a blacklist, and the points of interest listed in the blacklist are not identified and are not recommended to the user.
S204: and the server returns the recommended resources to the intelligent terminal.
And after determining the recommended resources, the server returns the determined recommended resources to the intelligent terminal.
According to the technical scheme, when the positioning request of the intelligent terminal is obtained, the WiFi fingerprint data of WiFi signal strength which can be found by the intelligent terminal can be reflected when the intelligent terminal sends the positioning request can be determined through the positioning request. Accurate position location can be realized according to wiFi fingerprint data, even intelligent terminal is in intensive indoor, also can accurate definite intelligent terminal's positional information. After the position information of the intelligent terminal is determined, the recommended resource related to the position information can be determined according to the position information, and the resource recommendation based on the WiFi positioning function is realized by returning the recommended resource to the intelligent terminal, so that the application of the WiFi technology is enriched.
Next, a WiFi-based resource recommendation method provided in the embodiment of the present application will be introduced in combination with an actual application scenario. In the application scene, the scene where the user is located is a restaurant, the intelligent terminal is an intelligent mobile phone, and the server is a positioning server. When a user has a meal in a restaurant, the WiFi in the restaurant is connected by using the smart phone, and when the connection is successful, the smart phone sends a positioning request to the positioning server. Referring to fig. 5, a flowchart of the WiFi-based resource recommendation method is shown, and the method includes:
s501: the positioning server obtains a positioning request.
The positioning request comprises WiFi data fingerprint information of the user, and the WiFi data fingerprint information comprises WiFi signal intensity of a restaurant and WiFi signal intensity of peripheral shops which can be received by the user.
S502: and the positioning server determines the position information of the smart phone according to the WiFi fingerprint data in the positioning request.
After receiving a positioning request sent by the smart phone, the positioning server determines that the smart phone is located in the restaurant through WiFi fingerprint data in the positioning request.
S503: and the positioning server determines the region type of the region where the smart phone is located according to the position information.
And the positioning server determines the region type of the region where the smart phone is located as a restaurant according to the position confidence.
S504: and the positioning server determines recommended resources according to the position information and the region type.
After the positioning server determines that the region type of the region where the smart phone is located is a restaurant, the positioning server determines that resources of the restaurant and the diet type are not recommended, and recommends the region types of the movie theatre, the song hall, the shopping mall and the like which are frequently visited by the user after having dinner, and then determines that the recommended resources are the movie theatre, the song hall and the shopping mall around the smart device according to the position information of the smart device. The recommended resources include surrounding resources such as a cinema, a singing hall and a shopping mall, and also include a specific large cinema and a large shopping mall.
S505: and the positioning server returns recommended resources to the smart phone.
And after determining the recommended resources, the positioning server returns the recommended resources to the smart phone. After the smart phone receives the recommended resources, the user can see the resource information of nearby cinemas, music halls and shopping malls from the smart phone interface, as shown in fig. 6.
Next, a product side application scenario of the WiFi-based resource recommendation method provided in the embodiment of the present application will be described with reference to the drawings. As shown in fig. 7, the product side method includes:
s701: the user uses the intelligent terminal to connect with WiFi.
When the user generates a WiFi connection requirement, the user uses the intelligent terminal to connect WiFi in the scene.
S702: and the user checks the recommended resources on the intelligent terminal.
And the user uses the intelligent terminal to receive and check the recommended resources returned by the server. As different users have different requirements, the user can selectively obtain the resource information required by the user from the recommended resource, as shown in fig. 8, fig. 8 is a flow chart of the product and the user experience, and as can be seen from the figure, the product can meet different requirements of different users.
Next, based on the WiFi-based resource recommendation method provided in the foregoing embodiment, an embodiment of the present application further provides a WiFi-based resource recommendation device 900, referring to fig. 9a, the device includes an obtaining unit 901, a first determining unit 902, a second determining unit 903, and a returning unit 904:
an obtaining unit 901, configured to obtain a location request of an intelligent terminal, where the location request includes WiFi fingerprint data of the intelligent terminal; the WiFi fingerprint data is used for identifying the signal strength of WiFi found by the intelligent terminal;
a first determining unit 902, configured to determine location information of the intelligent terminal according to the WiFi fingerprint data;
a second determining unit 903, configured to determine a corresponding recommended resource according to the location information;
a returning unit 904, configured to return the recommended resource to the intelligent terminal.
The third determining unit is configured to determine, according to the location information, a region type of a region where the intelligent terminal is located;
the second determining unit 903 is specifically configured to:
and determining corresponding recommended resources according to the position information and the region type corresponding to the position information.
In one implementation, referring to fig. 9b, the apparatus 900 further comprises a third determining unit 905:
a third determining unit 905, configured to determine, according to the position information, a region type of a region where the intelligent terminal is located;
the second determining unit 903 is specifically configured to:
and determining the corresponding recommended resources according to the position information and the region type corresponding to the position information.
In one implementation, the location request further includes a user identifier, and the second determining unit is specifically configured to:
and determining corresponding recommended resources according to the user identification and the position information.
In one implementation, the recommended resources are recommended resources under a specified resource classification; the assigned resource category is determined based on the user identification.
In one implementation, the recommended resources include services provided through points of interest, the points of interest being determined based on the location information.
In one implementation, the location request is obtained when the smart terminal is connected to WiFi.
In one implementation, referring to fig. 9c, the apparatus 900 further includes a first establishing unit 906, a second establishing unit 907, and a third establishing unit 908:
a first establishing unit 906, configured to establish a first corresponding relationship between WiFi fingerprint data and a point of interest;
a second establishing unit 907, configured to establish a second correspondence between the point of interest and the service according to the service provided by the point of interest;
a third establishing unit 908, configured to establish an association library according to the first corresponding relationship and the second corresponding relationship, where the association library includes corresponding relationships among WiFi fingerprint data, points of interest, and services;
the second determining unit 903 is specifically configured to:
determining corresponding recommended resources by searching the association library according to the position information; the recommended resources include points of interest and/or services.
In an implementation manner, the first establishing unit 906 is specifically configured to:
establishing a first corresponding relation between WiFi fingerprint data and the interest points through the crawled interest point positions;
the second establishing unit 907 is specifically configured to:
acquiring services provided by the interest points by integrating third-party service data;
and establishing a second corresponding relation between the interest points and the services according to the services provided by the interest points.
In one implementation, referring to fig. 9d, the apparatus 900 further includes a binding unit 909:
and a binding unit 909, configured to crawl relevant service page information, integrate and access a service page of a third party, and bind the service page with a service.
In one implementation, referring to fig. 9e, the apparatus 900 further includes a screening unit 910:
a filtering unit 910, configured to filter out problematic WiFi fingerprint data and incomplete WiFi fingerprint data.
In one implementation, referring to fig. 9f, the second determining unit 903 further includes a blacklist storage unit 911 and an interest point determining unit 912:
a blacklist storage unit 911 for storing points of interest that do not need to be identified;
an interest point determining unit 912, configured to determine interest points other than the blacklist according to the location information.
In one implementation, referring to fig. 10, the first determining unit 902 further includes an offline data device 1000, and the offline data device 1000 includes a receiving unit 1001, a reported data preprocessing unit 1002, a format conversion unit 1003, a fingerprint compression unit 1004, a fingerprint storage unit 1005, and a location fingerprint library 1006:
a receiving unit 1001, configured to receive reported WiFi fingerprint data;
a reported data preprocessing unit 1002, configured to preprocess WiFi fingerprint data;
a format conversion unit 1003, configured to perform format conversion on the WiFi fingerprint data;
a fingerprint compression unit 1004 for compressing WiFi fingerprint data;
a fingerprint storage unit 1005 for storing WiFi fingerprint data.
The embodiment of the application also provides an implementation device for the WiFi-based resource recommendation method, and the implementation device for the WiFi-based resource recommendation method is introduced below with reference to the accompanying drawings. Referring to fig. 11, an implementation device 1500 for a WiFi-based resource recommendation method is provided in an embodiment of the present application, where the device 1500 may also be a terminal device, and the terminal device may be any intelligent terminal including a mobile phone, a tablet computer, a Personal Digital Assistant (PDA for short), a Point of Sales (POS for short), a vehicle-mounted computer, and the terminal device is taken as a mobile phone as an example:
fig. 11 is a block diagram illustrating a partial structure of a mobile phone related to a terminal device provided in an embodiment of the present application. Referring to fig. 11, the cellular phone includes: a Radio Frequency (RF) circuit 1510, a memory 1520, an input unit 1530, a display unit 1540, a sensor 1550, an audio circuit 1560, a wireless fidelity (WiFi) module 1570, a processor 1580, and a power supply 1590. Those skilled in the art will appreciate that the handset configuration shown in fig. 11 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile phone in detail with reference to fig. 11:
the RF circuit 1510 may be configured to receive and transmit signals during information transmission and reception or during a call, and in particular, receive downlink information of a base station and then process the received downlink information to the processor 1580; in addition, the data for designing uplink is transmitted to the base station. In general, RF circuit 1510 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, RF circuit 1510 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), and the like.
The memory 1520 may be used to store software programs and modules, and the processor 1580 performs various functional applications and data processing of the cellular phone by operating the software programs and modules stored in the memory 1520. The memory 1520 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 1520 may include high-speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The input unit 1530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 1530 may include a touch panel 1531 and other input devices 1532. The touch panel 1531, also referred to as a touch screen, can collect touch operations of a user (e.g., operations of the user on or near the touch panel 1531 using any suitable object or accessory such as a finger or a stylus) and drive corresponding connection devices according to a preset program. Alternatively, the touch panel 1531 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, and sends the touch point coordinates to the processor 1580, and can receive and execute commands sent by the processor 1580. In addition, the touch panel 1531 may be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 1530 may include other input devices 1532 in addition to the touch panel 1531. In particular, other input devices 1532 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 1540 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The Display unit 1540 may include a Display panel 1541, and optionally, the Display panel 1541 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 1531 may cover the display panel 1541, and when the touch panel 1531 detects a touch operation on or near the touch panel 1531, the touch operation is transmitted to the processor 1580 to determine the type of the touch event, and then the processor 1580 provides a corresponding visual output on the display panel 1541 according to the type of the touch event. Although in fig. 11, the touch panel 1531 and the display panel 1541 are two separate components to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 1531 and the display panel 1541 may be integrated to implement the input and output functions of the mobile phone.
The handset can also include at least one sensor 1550, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display panel 1541 according to the brightness of ambient light and a proximity sensor that turns off the display panel 1541 and/or the backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through a WiFi module 1570, and provides wireless broadband internet access for the user. Although fig. 11 shows WiFi module 1570, it is understood that it does not belong to the essential components of the handset and may be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 1580 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 1520 and calling data stored in the memory 1520, thereby integrally monitoring the mobile phone. Optionally, the processor 1580 may include one or more processing units; preferably, the processor 1580 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, and the like, and a modem processor, which mainly handles wireless communications. It is to be appreciated that the modem processor may not be integrated into the processor 1580.
The handset also includes a power supply 1590 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 1580 via a power management system to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.
In this embodiment, the processor 1580 included in the terminal device further has the following functions:
acquiring a positioning request of an intelligent terminal, wherein the positioning request comprises WiFi fingerprint data of the intelligent terminal; the WiFi fingerprint data is used for identifying the signal strength of WiFi found by the intelligent terminal;
determining the position information of the intelligent terminal according to the WiFi fingerprint data;
determining corresponding recommended resources according to the position information;
and returning the recommended resources to the intelligent terminal.
Referring to fig. 12, fig. 12 is a block diagram of a server 1600 provided in this embodiment, and the server 1600 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 1622 (e.g., one or more processors) and a memory 1632, and one or more storage media 1630 (e.g., one or more mass storage devices) storing an application program 1642 or data 1644. Memory 1632 and storage media 1630 may be transient or persistent storage, among others. The program stored on the storage medium 1630 may include one or more modules (not shown), each of which may include a sequence of instructions operating on a server. Further, central processing unit 1622 may be configured to communicate with storage medium 1630 to execute a series of instruction operations on storage medium 1630 at server 1600.
The server 1600 may also include one or more power supplies 1626, one or more wired or wireless network interfaces 1650, one or more input-output interfaces 1658, and/or one or more operating systems 1641, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The steps performed by the server in the above embodiment may be based on the server structure shown in fig. 12.
The embodiment of the present application further provides a computer-readable storage medium for storing a program code, where the program code is configured to execute any one implementation of the implementation methods of the WiFi-based resource recommendation method described in the foregoing embodiments.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium may be at least one of the following media: various media that can store program codes, such as read-only memory (ROM), RAM, magnetic disk, or optical disk.
It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should 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.
Claims (10)
1. A WiFi-based resource recommendation method, comprising:
acquiring a positioning request of an intelligent terminal, wherein the positioning request comprises WiFi fingerprint data of the intelligent terminal; the WiFi fingerprint data is used for identifying the signal strength of WiFi found by the intelligent terminal;
determining the position information of the intelligent terminal according to the WiFi fingerprint data;
determining corresponding recommended resources according to the position information;
and returning the recommended resources to the intelligent terminal.
2. The method of claim 1, further comprising:
determining the region type of the region where the intelligent terminal is located according to the position information;
the determining the corresponding recommended resource according to the position information includes:
and determining corresponding recommended resources according to the position information and the region type corresponding to the position information.
3. The method of claim 1, wherein the location request further comprises a user identifier, and wherein determining the corresponding recommended resource according to the location information comprises:
and determining corresponding recommended resources according to the user identification and the position information.
4. The method of claim 3, wherein the recommended resource is a recommended resource under a specified resource classification; the specified resource classification is determined according to the user identification.
5. The method of any of claims 1-4, wherein the recommended resources include services provided through points of interest, the points of interest being determined based on the location information.
6. The method according to any one of claims 1-4, wherein the location request is obtained when the smart terminal is connected to WiFi.
7. The method of claim 1, further comprising:
establishing a first corresponding relation between WiFi fingerprint data and interest points;
establishing a second corresponding relation between the interest points and the services according to the services provided by the interest points;
establishing an association library according to the first corresponding relation and the second corresponding relation, wherein the association library comprises corresponding relations among WiFi fingerprint data, interest points and services;
the determining the corresponding recommended resource according to the position information includes:
determining corresponding recommended resources by searching the association library according to the position information; the recommended resources include points of interest and/or services.
8. The method of claim 7, wherein establishing the first correspondence between the WiFi fingerprint data and the point of interest comprises:
establishing a first corresponding relation between WiFi fingerprint data and the interest points through the crawled interest point positions;
the establishing of the second corresponding relationship between the interest points and the services according to the services provided by the interest points comprises the following steps:
acquiring services provided by the interest points by integrating third-party service data;
and establishing a second corresponding relation between the interest points and the services according to the services provided by the interest points.
9. A WiFi-based resource recommendation device is characterized by comprising an acquisition unit, a first determination unit, a second determination unit and a return unit:
the acquisition unit is used for acquiring a positioning request of the intelligent terminal, wherein the positioning request comprises WiFi fingerprint data of the intelligent terminal; the WiFi fingerprint data is used for identifying the signal strength of WiFi found by the intelligent terminal;
the first determining unit is used for determining the position information of the intelligent terminal according to the WiFi fingerprint data;
the second determining unit is used for determining the corresponding recommended resource according to the position information;
and the return unit is used for returning the recommended resources to the intelligent terminal.
10. An apparatus for WiFi-based resource recommendation, the apparatus comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the WiFi-based resource recommendation method of claims 1-6 according to instructions in the program code.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911088857.2A CN110839205A (en) | 2019-11-08 | 2019-11-08 | WiFi-based resource recommendation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911088857.2A CN110839205A (en) | 2019-11-08 | 2019-11-08 | WiFi-based resource recommendation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110839205A true CN110839205A (en) | 2020-02-25 |
Family
ID=69574970
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911088857.2A Pending CN110839205A (en) | 2019-11-08 | 2019-11-08 | WiFi-based resource recommendation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110839205A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113438614A (en) * | 2021-06-29 | 2021-09-24 | Oppo广东移动通信有限公司 | Flow package obtaining method and device, terminal and storage medium |
| CN116184312A (en) * | 2022-12-22 | 2023-05-30 | 泰州雷德波达定位导航科技有限公司 | Indoor crowdsourcing fingerprint library construction method based on semantic Wi-Fi |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103402177A (en) * | 2013-08-02 | 2013-11-20 | 南京市海聚信息科技有限公司 | Information pushing system of WiFi (wireless fidelity) terminal and implementation method thereof |
| US20150120180A1 (en) * | 2013-10-30 | 2015-04-30 | Samsung Electronics Co., Ltd. | Method and apparatus for providing location based service |
| CN106102000A (en) * | 2016-05-30 | 2016-11-09 | 浙江每日互动网络科技股份有限公司 | A kind of based on the method for scene residing for WIFI face sketch recognition user |
| CN106792477A (en) * | 2017-01-11 | 2017-05-31 | 广东小天才科技有限公司 | The bluetooth localization method and device of a kind of mobile terminal |
| WO2018057466A1 (en) * | 2016-09-23 | 2018-03-29 | Qualcomm Incorporated | Method and apparatus for beacon data collection |
| CN108683985A (en) * | 2018-04-27 | 2018-10-19 | 深圳市交投科技有限公司 | A kind of WIFI location fingerprints point prescreening method and storage medium |
| CN109218987A (en) * | 2018-09-28 | 2019-01-15 | Oppo广东移动通信有限公司 | Information processing method, device, terminal and storage medium |
| CN109275090A (en) * | 2018-09-28 | 2019-01-25 | Oppo广东移动通信有限公司 | Information processing method, device, terminal and storage medium |
| CN110399570A (en) * | 2019-07-24 | 2019-11-01 | 腾讯科技（深圳）有限公司 | Geographic object recommended method, device and storage medium |
-
2019
- 2019-11-08 CN CN201911088857.2A patent/CN110839205A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103402177A (en) * | 2013-08-02 | 2013-11-20 | 南京市海聚信息科技有限公司 | Information pushing system of WiFi (wireless fidelity) terminal and implementation method thereof |
| US20150120180A1 (en) * | 2013-10-30 | 2015-04-30 | Samsung Electronics Co., Ltd. | Method and apparatus for providing location based service |
| CN106102000A (en) * | 2016-05-30 | 2016-11-09 | 浙江每日互动网络科技股份有限公司 | A kind of based on the method for scene residing for WIFI face sketch recognition user |
| WO2018057466A1 (en) * | 2016-09-23 | 2018-03-29 | Qualcomm Incorporated | Method and apparatus for beacon data collection |
| CN106792477A (en) * | 2017-01-11 | 2017-05-31 | 广东小天才科技有限公司 | The bluetooth localization method and device of a kind of mobile terminal |
| CN108683985A (en) * | 2018-04-27 | 2018-10-19 | 深圳市交投科技有限公司 | A kind of WIFI location fingerprints point prescreening method and storage medium |
| CN109218987A (en) * | 2018-09-28 | 2019-01-15 | Oppo广东移动通信有限公司 | Information processing method, device, terminal and storage medium |
| CN109275090A (en) * | 2018-09-28 | 2019-01-25 | Oppo广东移动通信有限公司 | Information processing method, device, terminal and storage medium |
| CN110399570A (en) * | 2019-07-24 | 2019-11-01 | 腾讯科技（深圳）有限公司 | Geographic object recommended method, device and storage medium |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113438614A (en) * | 2021-06-29 | 2021-09-24 | Oppo广东移动通信有限公司 | Flow package obtaining method and device, terminal and storage medium |
| CN116184312A (en) * | 2022-12-22 | 2023-05-30 | 泰州雷德波达定位导航科技有限公司 | Indoor crowdsourcing fingerprint library construction method based on semantic Wi-Fi |
| CN116184312B (en) * | 2022-12-22 | 2023-11-21 | 泰州雷德波达定位导航科技有限公司 | Indoor crowdsourcing fingerprint library construction method based on semantic Wi-Fi |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2676501B1 (en) | Methods, apparatuses and computer program products for providing a private and efficient geolocation system | |
| CN111182453B (en) | Positioning method, positioning device, electronic equipment and storage medium | |
| EP2891347B1 (en) | Discovery method and system for discovery | |
| JP6312716B2 (en) | Method, apparatus and medium for determining a position of a mobile device within an indoor environment | |
| KR101895455B1 (en) | Method and apparatus for providing semantic location in electronic device | |
| US10854009B2 (en) | Method, apparatus, and system for obtaining virtual object, and storage medium | |
| KR20180035103A (en) | Information display method and apparatus | |
| CN110399570B (en) | Geographic object recommendation method, device and storage medium | |
| CN106714277B (en) | Network connection method and terminal | |
| CN105303591B (en) | Method, terminal and server for superimposing location information on jigsaw puzzle | |
| CN108197934A (en) | A kind of method of payment and terminal device | |
| CN112312308A (en) | Indoor positioning method and terminal equipment | |
| CN110839205A (en) | WiFi-based resource recommendation method and device | |
| CN109862607B (en) | Network recommendation method and mobile terminal | |
| CN109565464A (en) | Red packet data processing method and equipment | |
| CN112272352B (en) | Device interaction method and device, storage medium and computer device | |
| CN108322611B (en) | Screen locking information pushing method and device and computer readable storage medium | |
| CN110047246A (en) | Alarm method, equipment and computer readable storage medium | |
| CN106341728A (en) | Product information displaying method, apparatus and system in video | |
| CN109062678A (en) | A kind of Working mode switching method, wearable device and computer storage medium | |
| CN110377826A (en) | A kind of information-pushing method and mobile terminal | |
| CN110427572A (en) | Find good friend's method, mobile terminal and storage medium | |
| CN113225787B (en) | Wi-Fi scanning method, terminal equipment and storage medium | |
| CN115993926A (en) | Interaction method, intelligent terminal and storage medium | |
| CN112584307B (en) | Geological disaster site communication method, system and mobile terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: DE Ref document number: 40022456 Country of ref document: HK |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200225 |