CN110674423A - Address positioning method and device, readable storage medium and electronic equipment - Google Patents

Address positioning method and device, readable storage medium and electronic equipment Download PDF

Info

Publication number
CN110674423A
CN110674423A CN201910900205.8A CN201910900205A CN110674423A CN 110674423 A CN110674423 A CN 110674423A CN 201910900205 A CN201910900205 A CN 201910900205A CN 110674423 A CN110674423 A CN 110674423A
Authority
CN
China
Prior art keywords
interest
point
processor
keyword
user
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
Application number
CN201910900205.8A
Other languages
Chinese (zh)
Inventor
李超
沈永新
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Rajax Network Technology Co Ltd
Original Assignee
Rajax Network Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Rajax Network Technology Co Ltd filed Critical Rajax Network Technology Co Ltd
Priority to CN201910900205.8A priority Critical patent/CN110674423A/en
Publication of CN110674423A publication Critical patent/CN110674423A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

The embodiment of the invention discloses an address positioning method, an address positioning device, a readable storage medium and electronic equipment. The embodiment of the invention obtains the user address text by receiving the instruction sent by the user terminal; the at least one processor determines at least one keyword in a user address text according to the user address text, determines at least one interest point corresponding to the at least one keyword and address information corresponding to each interest point through the at least one processor, determines a target interest point matched with the user address text according to the address information of the at least one interest point, and determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text. By the method, the longitude and latitude corresponding to the user address text can be accurately determined, namely the longitude and latitude corresponding to the actual address of the user can be accurately determined, and the accuracy of user positioning is improved.

Description

Address positioning method and device, readable storage medium and electronic equipment
Technical Field
The invention relates to the field of data processing, in particular to an address positioning method, an address positioning device, a readable storage medium and electronic equipment.
Background
With the development of internet technology, the intelligent terminal is becoming more popular, and in many applications, the requirement for the accuracy of the positioning of the intelligent terminal is higher and higher, for example, in a distribution application program, the positioning of a user needs to be accurately obtained, that is, the longitude and latitude corresponding to the actual address of the user are obtained.
In the prior art, the longitude and latitude of a positioning address of a user are usually used as the longitude and latitude corresponding to an actual address of the user, but due to deviation of positioning of the user, the longitude and latitude corresponding to the actual address of the user is inaccurate, and if distribution cannot be carried to an accurate position according to the longitude and latitude of the positioning address, and the like, in summary, how to determine the accurate longitude and latitude of the actual address and improve the accuracy of positioning of the user are problems to be solved at present.
Disclosure of Invention
In view of this, embodiments of the present invention provide an address location method, an address location device, a readable storage medium, and an electronic device, which can determine an accurate longitude and latitude of an actual address of a user and improve accuracy of user location.
In a first aspect, an embodiment of the present invention provides an address location method, where the method includes: receiving an instruction sent by a user terminal; analyzing the instruction, the user address text and at least one keyword in the user address text through at least one processor; determining, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest; the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point; and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text.
Preferably, the at least one processor determines at least one keyword in the user address text according to the user address text, and specifically includes: and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
Preferably, the determining, by the at least one processor, the at least one point of interest corresponding to the at least one keyword specifically includes: the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label; and determining the at least one interest point according to the at least one keyword combination.
Preferably, the determining the at least one interest point according to the at least one keyword combination specifically includes: and the at least one processor queries the map query interface through the at least one keyword combination to determine the at least one interest point corresponding to the at least one keyword combination.
Preferably, the at least one processor determines, according to the address information of the at least one interest point, a target interest point matched with the user address text, and specifically includes: the at least one processor determines a matching score of the at least one interest point and the user address text according to the address information of the at least one interest point; and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.
In a second aspect, an embodiment of the present invention provides an address location apparatus, including: the receiving unit is used for receiving an instruction sent by a user terminal; the acquisition unit is used for analyzing the instruction through at least one processor to acquire a user address text; a first determining unit, configured to determine, by the at least one processor, at least one keyword in the user address text according to the user address text; a second determining unit, configured to determine, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest; a third determining unit, configured to determine, by the at least one processor, a target interest point matching the user address text according to address information of the at least one interest point; and the processing unit is used for determining the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text by the at least one processor.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium on which computer program instructions are stored, which when executed by a processor implement the method according to the first aspect or any one of the possibilities of the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory is used to store one or more computer program instructions, where the one or more computer program instructions are executed by the processor to implement the following steps: receiving an instruction sent by a user terminal; analyzing the instruction through at least one processor to obtain a user address text; the at least one processor determines at least one keyword in the user address text according to the user address text; determining, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest; the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point; and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text.
Preferably, the processor specifically executes the following steps: and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
Preferably, the processor specifically executes the following steps: the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label; and determining the at least one interest point according to the at least one keyword combination.
Preferably, the processor specifically executes the following steps: and the at least one processor queries the map query interface through the at least one keyword combination to determine the at least one interest point corresponding to the at least one keyword combination.
Preferably, the processor specifically executes the following steps: the at least one processor determines a matching score of the at least one interest point and the user address text according to the address information of the at least one interest point; and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.
The embodiment of the invention receives the instruction sent by the user terminal; analyzing the instruction through at least one processor to obtain a user address text; at least one processor determines at least one keyword in a user address text according to the user address text, determines at least one interest point corresponding to the at least one keyword and address information corresponding to each interest point through the at least one processor, wherein the address information of the interest points comprises names of the interest points, addresses of the interest points and longitude and latitude of the interest points; the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point; and determining the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text. By the method, the longitude and latitude corresponding to the user address text can be accurately determined, namely the longitude and latitude corresponding to the actual address of the user can be accurately determined, and the accuracy of user positioning is improved.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of a user terminal interface in the prior art;
FIG. 2 is a schematic diagram of a user terminal interface in the prior art;
FIG. 3 is a flowchart of a method for address location according to a first embodiment of the present invention;
FIG. 4 is a diagram of an application scenario of the second embodiment of the present invention;
FIG. 5 is a diagram illustrating an apparatus for address location according to a third embodiment of the present invention;
fig. 6 is a schematic view of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present disclosure is described below based on examples, but the present disclosure is not limited to only these examples. In the following detailed description of the present disclosure, certain specific details are set forth. It will be apparent to those skilled in the art that the present disclosure may be practiced without these specific details. Well-known methods, procedures, components and circuits have not been described in detail so as not to obscure the present disclosure.
Further, those of ordinary skill in the art will appreciate that the drawings provided herein are for illustrative purposes and are not necessarily drawn to scale.
Unless the context clearly requires otherwise, throughout this specification, the words "comprise", "comprising", and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is, what is meant is "including, but not limited to".
In the description of the present disclosure, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
In the prior art, the longitude and latitude of a positioning address of a user are generally used as the longitude and latitude corresponding to an actual address of the user in a distribution application program, but due to deviation of positioning of the user, the longitude and latitude corresponding to the actual address of the user are inaccurate, and if the longitude and latitude of the positioning address is adopted, the user cannot be delivered to an accurate position during distribution. For example, a user inputs a user address in an input box of an interface of a user terminal, specifically as shown in fig. 1, the input user address is "20 north of the yowu small commodity market", a server locates according to a user terminal of the user, and recommends a recommendation list of points of Interest (POI) corresponding to the location of the user terminal through maps such as gold, Baidu, and the like, where the recommendation list is displayed on the interface of the user terminal, and as shown in fig. 1, the recommendation list includes: "20 th door of the yowu small commodity market", "12 th door of the yowu small commodity market", "2 nd door of the yowu small commodity market" and "32 th door of the yowu small commodity market", the user address input by the user is the actual address of the user, when the longitude and latitude of one interest point in the recommendation list is selected as the longitude and latitude of the actual address of the user, there is a deviation with the longitude and latitude of the actual address of the user, for example, when "2 nd door of the yowu small commodity market" is selected as the positioning address of the user, the longitude and latitude of "2 nd door of the yowu small commodity market" is selected as the longitude and latitude of "20 th door of the yowu small commodity market", although both places are in the yowu small commodity market, the distance between "2 nd door of the yowu small commodity market" and "20 th door of the yowu small commodity market" can be 3 km due to the huge area of the yowu small commodity market, that is, the difference between the longitude and latitude of the actual address of the user and the longitude and latitude of the positioning address of the user is 3 kilometers, and if the task distribution is performed according to the longitude and latitude of the positioning address, the task cannot be sent to the accurate position at the specified time. A map as shown in fig. 2 may be displayed in the user terminal or the server, the location is indicated in the form of a pointer, the longitude and latitude of the actual address of the user is point a, the longitude and latitude of the location address of the user is point B, and a certain distance exists between the two points. In summary, how to determine the accurate longitude and latitude of the actual address is a problem to be solved at present.
In the embodiment of the present invention, in the geographic information system, one point of interest POI may be one house, one shop, one mailbox, one bus station, and the like, which is not limited by the present invention.
FIG. 3 is a flowchart of a method for address location according to a first embodiment of the present invention. As shown in fig. 3, the method specifically includes the following steps:
and step S300, receiving an instruction sent by the user terminal.
In the embodiment of the present invention, the actual address of the user, which is filled in the user terminal by the user, for example, the actual address of the user, which is filled in the user terminal by the user, is "205 # north of the city, jinhua, zhejiang province", and after receiving a click instruction sent by the user, that is, after the user clicks "search" in fig. 1, the user terminal sends an instruction to the server, where the instruction carries an actual address text of the user, that is, carries "205 # north of the city, jinhua, zhejiang province".
Step S301, analyzing the instruction through at least one processor to obtain a user address text.
Specifically, the server analyzes the instruction carrying the user address text through at least one processor to obtain the user address text.
Step S302, the at least one processor determines at least one keyword in the user address text according to the user address text
Optionally, a tag corresponding to each keyword is determined, where the tag is used to identify a type of the keyword, and specifically, at least one keyword in the user address text and a tag corresponding to each keyword are determined in the user address text by Named Entity Recognition (NER), where the Named Entity Recognition is to extract a keyword in the user address text through a model and mark the type of the keyword through the tag, the model may be a Conditional Random Field (CRF) model, the CRF model may identify a keyword in the user address text through the user address text input by the user as training data, and mark the keyword through the trained CRF model.
For example, taking "205 th north city, jinhua city, zhejiang province" as an example, the determined keywords may be "205 th north city," jinhua city, "north city," and "205 th," and the CRF model is used to determine the label corresponding to each keyword, specifically, a preset label comparison table needs to be searched when determining the label of each keyword, where the following table 1 is taken as an example:
TABLE 1
Figure BDA0002211577790000061
Figure BDA0002211577790000071
The labels corresponding to the keywords "zhejiang", "jinhua city", "north city", and "205 number" are "P", "C", "R", and "C".
In the embodiment of the present invention, different labels correspond to different meanings, for example, "P" represents "province" and "C" represents "city", as shown in table 2 below:
TABLE 2
Figure BDA0002211577790000072
Figure BDA0002211577790000081
Step S303, determining, by the at least one processor, at least one point of interest POI corresponding to the at least one keyword, and address information corresponding to each POI, where the address information of the POI includes a name of the POI, an address of the POI, and a latitude and longitude of the POI.
Specifically, the at least one processor combines the at least one keyword according to a preset tag combination to determine at least one keyword combination, where the tag combination includes at least one tag; and determining the at least one point of interest POI according to the at least one keyword combination, wherein the at least one processor queries and determines the at least one POI corresponding to the at least one keyword combination in a map query interface through the at least one keyword combination.
For example, it is assumed that the preset tag combinations are IB, I, PNI, and the like.
The embodiment of the present invention is described in detail by a specific example, and it is assumed that a user address text "the west and the west lake area of the science and technology institute of street zhejiang province and 9 apartments are reserved in the west lake area of the hangzhou city of zhejiang province" input by a user "the longitude and latitude of a user positioning address is" 30.2175865, 120.030663 ", and a CRF model is used to determine keywords and tags corresponding to the keywords in the west and the 9 apartments of the science and technology institute of street zhejiang province and 9 lakes" reserved in the west lake area of the hangzhou city of zhejiang province: "Zhejiang province", "Hangzhou city", "West lake area", "street left", "Zhejiang science institute west and apartment" and "9", the label corresponding to "Zhejiang province" is "P", "Hangzhou city" is "C", the label corresponding to "West lake area" is "D", "street left" is "S", the label corresponding to "Zhejiang science institute west and apartment" is "I", the label corresponding to "9" is "B", by the preset label combination: IB and I determine the keyword combinations "9 West and apartment of Zhejiang science and technology institute" and "West and apartment of Zhejiang science and technology institute". By using the keyword combination 'Zhejiang science and technology institute west and apartment 9' and 'Zhejiang science and technology institute west and apartment' to call longitude and latitude query interfaces provided by a high-grade map or a Baidu map, query results are obtained, and the specific query results are shown in table 3:
TABLE 3
Figure BDA0002211577790000091
In the embodiment of the present invention, the obtained query result may further include longitude and latitude of the POI1, the POI2, and the POI3, and the distances from the POI1, the POI2, and the POI3 to the actual address of the user may be determined according to the longitude and latitude.
Step S304, the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point.
Specifically, the at least one processor determines a matching score between the at least one interest point and the user address text according to the address information of the at least one interest point; and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.
For example, the 3 POIs are scored through a preset rule, and a matching score of each POI and the address text of the user is determined. Taking POI1 as an example, the scoring is performed as follows:
1) and determining a name matching score, wherein the specific relation between 'west and 9 apartments of the river science and technology institute' and 'west and 9 apartments' exists, and the matching score is 1.
2) And determining an address matching score, wherein specifically, only one same label exists in the addresses, namely I, which is 'West and apartment of Zhejiang science and technology institute', and the matching score is 1.
3) And determining a distance matching score, specifically, the distance is 1047 meters, and the matching score is-0.1 (1047/1000) is-0.1.
4) Determining a rule priority matching score, specifically, the label combination is IB, and the matching score is 0
5) And determining an additional matching score, wherein the matching score of the name and the address exceeds a threshold value, and the matching score is 1.
6) And determining a comprehensive matching score, specifically, 1.2 × 1+1-0.1+0+ 1-3.1.
Respectively determining the POI1, the POI2 and the POI3, and sorting the POIs according to the descending order of the score values, as shown in table 4:
TABLE 4
Serial number Composite match score
POI1 3.2
POI2 3.1
POI3 3.04
In the embodiment of the present invention, the integrated matching score of the POI1 is the maximum value of the three POI points, and the POI1 point is the target point of interest.
Step S305, the at least one processor determines the longitude and latitude of the target point of interest as the longitude and latitude corresponding to the user address text.
Specifically, the longitude and latitude of the "vegetable bird stager (west of Zhejiang scientific institute and apartment building No. 2)" corresponding to the POI1 is selected as the longitude and latitude of 9 people of west and apartment of Zhejiang scientific institute left in west lake and city of Hangzhou, Zhejiang province, and the user is accurately positioned.
Fig. 4 is an application scenario diagram of a second embodiment of the present invention, including a user terminal and a server, where the number of the user terminals and the server may be multiple, the server may also be referred to as a service system, a takeout system, or a takeout platform, and the like, the user terminal may be a mobile device that can perform positioning, such as a mobile phone, a tablet computer, and the like, the user terminal receives a user address text input by a user, the user address text may also be referred to as a user address, and is a text of a user actual address input by the user, the user terminal sends an instruction to the server, where the instruction includes the user address text, and the server receives the instruction sent by the user terminal; analyzing the instruction through at least one processor to obtain a user address text; at least one processor determines at least one keyword in a user address text and a label corresponding to each keyword according to the user address text, and determines at least one interest point corresponding to the at least one keyword and address information corresponding to each interest point through the at least one processor, wherein the address information of the interest points comprises names of the interest points, addresses of the interest points and longitude and latitude of the interest points; the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point; and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text. By the method, the longitude and latitude corresponding to the user address text can be accurately determined, namely the longitude and latitude corresponding to the actual address of the user can be accurately determined, and the accuracy of user positioning is improved.
FIG. 5 is a diagram illustrating an apparatus for address location according to a third embodiment of the present invention. As shown in fig. 5, the apparatus of the present embodiment includes a receiving unit 51, an acquiring unit 52, a first determining unit 53, a second determining unit 54, a third determining unit 55, and a processing unit 56.
The receiving unit 51 receives an instruction sent by the user terminal; an obtaining unit 52, configured to analyze the instruction through at least one processor, and obtain a user address text; a first determining unit 53, configured to determine, by the at least one processor, at least one keyword in the user address text and a tag corresponding to each keyword according to the user address text, where the tag is used to identify a type of the keyword; a second determining unit 54, configured to determine, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest; a third determining unit 55, configured to determine, by the at least one processor, a target interest point matching the user address text according to the address information of the at least one interest point; a processing unit 56, configured to determine, by the at least one processor, the longitude and latitude of the target point of interest as the longitude and latitude corresponding to the user address text.
Further, the first determining unit is specifically configured to: and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
Further, the second determining unit is specifically configured to: the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label; and determining the at least one interest point according to the at least one keyword combination.
Further, the second determining unit is specifically further configured to: and the at least one processor queries the map query interface through the at least one keyword combination to determine the at least one interest point corresponding to the at least one keyword combination.
Further, the processor specifically executes the following steps: the at least one processor determines a matching score of the at least one interest point and the user address text according to the address information of the at least one interest point; and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.
Fig. 6 is a schematic view of an electronic device according to a fourth embodiment of the present invention. In this embodiment, the electronic device is a server. It should be understood that other electronic devices, such as raspberry pies, are also possible. As shown in fig. 6, the electronic device: comprises at least one processor 601; and a memory 602 communicatively coupled to the at least one processor 601; and a communication component 603 communicatively coupled to the scanning device, the communication component 603 receiving and transmitting data under control of the processor 601; wherein the memory 602 stores instructions executable by the at least one processor 601, the instructions being executable by the at least one processor 601 to implement: receiving an instruction sent by a user terminal; analyzing the instruction through at least one processor to obtain a user address text; the at least one processor determines at least one keyword in the user address text according to the user address text; determining, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest; the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point; and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text.
Further, the processor specifically executes the following steps: and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
Further, the processor specifically executes the following steps: the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label; and determining the at least one interest point according to the at least one keyword combination.
Further, the processor specifically executes the following steps: and the at least one processor queries the map query interface through the at least one keyword combination to determine the at least one interest point corresponding to the at least one keyword combination.
Further, the processor specifically executes the following steps: the at least one processor determines a matching score of the at least one interest point and the user address text according to the address information of the at least one interest point; and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.
Specifically, the electronic device includes: one or more processors 601 and a memory 602, one processor 601 being illustrated in fig. 6. The processor 601 and the memory 602 may be connected by a bus or other means, and fig. 6 illustrates an example of a connection by a bus. The memory 602, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 601 executes various functional applications and data processing of the device by executing nonvolatile software programs, instructions and modules stored in the memory 602, that is, the address location method described above is realized.
The memory 602 may 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; the storage data area may store a list of options, etc. Further, the memory 602 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 non-volatile solid state storage device. In some embodiments, the memory 602 may optionally include memory located remotely from the processor 601, which may be connected to an external device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 602 and, when executed by the one or more processors 601, perform the method of address location in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, has corresponding functional modules and beneficial effects of the execution method, and can refer to the method provided by the embodiment of the application without detailed technical details in the embodiment.
A fifth embodiment of the invention is directed to a non-volatile storage medium storing a computer-readable program for causing a computer to perform some or all of the above-described method embodiments.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in 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.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific embodiments for practicing the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
The embodiment of the application discloses A1 and an address positioning method, which comprises the following steps:
receiving an instruction sent by a user terminal;
analyzing the instruction through at least one processor to obtain a user address text;
the at least one processor determines at least one keyword in the user address text according to the user address text;
determining, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest;
the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point;
and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text.
A2, the method as in a1, wherein the determining, by the at least one processor, at least one keyword in the user address text according to the user address text specifically includes:
and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
A3, the method as in a2, wherein the determining, by the at least one processor, the at least one point of interest corresponding to the at least one keyword specifically includes:
the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label;
and determining the at least one interest point according to the at least one keyword combination.
A4, the method as in A3, wherein the determining the at least one point of interest according to the at least one keyword combination specifically comprises:
and the at least one processor queries the map query interface through the at least one keyword combination to determine the at least one interest point corresponding to the at least one keyword combination.
A5, the method as in a1, wherein the determining, by the at least one processor, the target point of interest matching the user address text according to the address information of the at least one point of interest includes:
the at least one processor determines a matching score of the at least one interest point and the user address text according to the address information of the at least one interest point;
and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.
The embodiment of the application discloses B1, device of address location, the device includes:
the receiving unit is used for receiving an instruction sent by a user terminal;
the acquisition unit is used for analyzing the instruction through at least one processor to acquire a user address text;
a first determining unit, configured to determine, by the at least one processor, at least one keyword in the user address text according to the user address text;
a second determining unit, configured to determine, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest;
a third determining unit, configured to determine, by the at least one processor, a target interest point matching the user address text according to address information of the at least one interest point;
and the processing unit is used for determining the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text by the at least one processor.
The embodiment of the application discloses C1, a computer readable storage medium, on which computer program instructions are stored, which when executed by a processor implement the method according to any one of A1-A5.
The embodiment of the application discloses a D1 electronic device, comprising a memory and a processor, wherein the memory is used for storing one or more computer program instructions, and the one or more computer program instructions are executed by the processor to realize the following steps:
receiving an instruction sent by a user terminal;
analyzing the instruction through at least one processor to obtain a user address text;
the at least one processor determines at least one keyword in the user address text according to the user address text;
determining, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest;
the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point;
and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text.
D2, the electronic device as recited in D1, the processor specifically performs the following steps:
and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
D3, the electronic device as recited in D2, the processor specifically performs the following steps:
the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label;
and determining the at least one interest point according to the at least one keyword combination.
D4, the electronic device as recited in D3, the processor specifically performs the following steps:
and the at least one processor queries the map query interface through the at least one keyword combination to determine the at least one interest point corresponding to the at least one keyword combination.
D5, the electronic device as recited in D1, the processor specifically performs the following steps:
the at least one processor determines a matching score of the at least one interest point and the user address text according to the address information of the at least one interest point;
and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.

Claims (10)

1. A method for address location, the method comprising:
receiving an instruction sent by a user terminal;
analyzing the instruction through at least one processor to obtain a user address text;
the at least one processor determines at least one keyword in the user address text according to the user address text;
determining, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest;
the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point;
and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text.
2. The method of claim 1, wherein the determining, by the at least one processor, at least one keyword in the user address text according to the user address text specifically comprises:
and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
3. The method of claim 2, wherein the determining, by the at least one processor, the at least one point of interest corresponding to the at least one keyword comprises:
the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label;
and determining the at least one interest point according to the at least one keyword combination.
4. The method according to claim 3, wherein said determining said at least one point of interest based on said at least one keyword combination comprises:
and the at least one processor queries the map query interface through the at least one keyword combination to determine the at least one interest point corresponding to the at least one keyword combination.
5. The method according to claim 1, wherein the at least one processor determines the target point of interest matching the user address text according to the address information of the at least one point of interest, and specifically comprises:
the at least one processor determines a matching score of the at least one interest point and the user address text according to the address information of the at least one interest point;
and the at least one processor determines the interest point corresponding to the maximum value of the matching score as the target interest point of the user address text.
6. An address localization apparatus, comprising:
the receiving unit is used for receiving an instruction sent by a user terminal;
the acquisition unit is used for analyzing the instruction through at least one processor to acquire a user address text;
a first determining unit, configured to determine, by the at least one processor, at least one keyword in the user address text according to the user address text;
a second determining unit, configured to determine, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest;
a third determining unit, configured to determine, by the at least one processor, a target interest point matching the user address text according to address information of the at least one interest point;
and the processing unit is used for determining the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text by the at least one processor.
7. A computer-readable storage medium on which computer program instructions are stored, which, when executed by a processor, implement the method of any one of claims 1-5.
8. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to perform the steps of:
receiving an instruction sent by a user terminal;
analyzing the instruction through at least one processor to obtain a user address text;
the at least one processor determines at least one keyword in the user address text according to the user address text;
determining, by the at least one processor, at least one point of interest corresponding to the at least one keyword and address information corresponding to each point of interest, where the address information of the point of interest includes a name of the point of interest, an address of the point of interest, and a longitude and latitude of the point of interest;
the at least one processor determines a target interest point matched with the user address text according to the address information of the at least one interest point;
and the at least one processor determines the longitude and latitude of the target interest point as the longitude and latitude corresponding to the user address text.
9. The electronic device of claim 8, wherein the processor is further configured to perform the steps of:
and the at least one processor determines at least one keyword in the user address text and a label corresponding to each keyword according to the user address text, wherein the label is used for identifying the type of the keyword.
10. The electronic device of claim 9, wherein the processor is further configured to perform the steps of:
the at least one processor combines the at least one keyword according to a preset label combination to determine at least one keyword combination, wherein the label combination comprises at least one label;
and determining the at least one interest point according to the at least one keyword combination.
CN201910900205.8A 2019-09-23 2019-09-23 Address positioning method and device, readable storage medium and electronic equipment Pending CN110674423A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910900205.8A CN110674423A (en) 2019-09-23 2019-09-23 Address positioning method and device, readable storage medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910900205.8A CN110674423A (en) 2019-09-23 2019-09-23 Address positioning method and device, readable storage medium and electronic equipment

Publications (1)

Publication Number Publication Date
CN110674423A true CN110674423A (en) 2020-01-10

Family

ID=69077276

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910900205.8A Pending CN110674423A (en) 2019-09-23 2019-09-23 Address positioning method and device, readable storage medium and electronic equipment

Country Status (1)

Country Link
CN (1) CN110674423A (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111382212A (en) * 2020-03-02 2020-07-07 拉扎斯网络科技(上海)有限公司 Associated address acquisition method and device, electronic equipment and storage medium
CN111523007A (en) * 2020-04-27 2020-08-11 北京百度网讯科技有限公司 User interest information determination method, device, equipment and storage medium
CN111581311A (en) * 2020-04-21 2020-08-25 拉扎斯网络科技(上海)有限公司 Data processing method and device, readable storage medium and electronic equipment
CN112052409A (en) * 2020-09-28 2020-12-08 中国平安人寿保险股份有限公司 Address resolution method, device, equipment and medium
CN112487120A (en) * 2020-11-30 2021-03-12 上海寻梦信息技术有限公司 Method, device and equipment for classifying recipient addresses and storage medium
CN112597755A (en) * 2020-12-29 2021-04-02 杭州拼便宜网络科技有限公司 Geographic position information generation method and device, electronic equipment and storage medium
CN113139136A (en) * 2020-01-17 2021-07-20 百度在线网络技术(北京)有限公司 Address search method, device, electronic equipment and medium
CN114861658A (en) * 2022-05-24 2022-08-05 北京百度网讯科技有限公司 Address information analysis method and device, equipment and medium
WO2023226448A1 (en) * 2022-05-26 2023-11-30 北京京东振世信息技术有限公司 Method and apparatus for generating logistics point-of-interest information, and device and computer-readable medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104166645A (en) * 2013-05-15 2014-11-26 大陆汽车投资(上海)有限公司 Interest point and path information obtaining method and vehicle-mounted electronic equipment
CN105095205A (en) * 2014-04-17 2015-11-25 阿里巴巴集团控股有限公司 Method and device for address location
CN107291713A (en) * 2016-03-30 2017-10-24 高德软件有限公司 Reminding method, terminal and the server of point of interest search keyword
CN109284498A (en) * 2017-07-20 2019-01-29 菜鸟智能物流控股有限公司 Self-service cabinet recommendation method, self-service cabinet recommendation device and electronic device
CN109978430A (en) * 2017-12-28 2019-07-05 青岛日日顺电器服务有限公司 A kind of method, apparatus, server and storage medium parsing station address

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104166645A (en) * 2013-05-15 2014-11-26 大陆汽车投资(上海)有限公司 Interest point and path information obtaining method and vehicle-mounted electronic equipment
CN105095205A (en) * 2014-04-17 2015-11-25 阿里巴巴集团控股有限公司 Method and device for address location
CN107291713A (en) * 2016-03-30 2017-10-24 高德软件有限公司 Reminding method, terminal and the server of point of interest search keyword
CN109284498A (en) * 2017-07-20 2019-01-29 菜鸟智能物流控股有限公司 Self-service cabinet recommendation method, self-service cabinet recommendation device and electronic device
CN109978430A (en) * 2017-12-28 2019-07-05 青岛日日顺电器服务有限公司 A kind of method, apparatus, server and storage medium parsing station address

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113139136B (en) * 2020-01-17 2023-09-26 百度在线网络技术(北京)有限公司 Address searching method and device, electronic equipment and medium
CN113139136A (en) * 2020-01-17 2021-07-20 百度在线网络技术(北京)有限公司 Address search method, device, electronic equipment and medium
CN111382212B (en) * 2020-03-02 2021-07-27 拉扎斯网络科技(上海)有限公司 Associated address acquisition method and device, electronic equipment and storage medium
CN111382212A (en) * 2020-03-02 2020-07-07 拉扎斯网络科技(上海)有限公司 Associated address acquisition method and device, electronic equipment and storage medium
CN111581311A (en) * 2020-04-21 2020-08-25 拉扎斯网络科技(上海)有限公司 Data processing method and device, readable storage medium and electronic equipment
CN111523007A (en) * 2020-04-27 2020-08-11 北京百度网讯科技有限公司 User interest information determination method, device, equipment and storage medium
CN111523007B (en) * 2020-04-27 2023-12-26 北京百度网讯科技有限公司 Method, device, equipment and storage medium for determining user interest information
CN112052409A (en) * 2020-09-28 2020-12-08 中国平安人寿保险股份有限公司 Address resolution method, device, equipment and medium
CN112052409B (en) * 2020-09-28 2023-11-24 中国平安人寿保险股份有限公司 Address resolution method, device, equipment and medium
CN112487120A (en) * 2020-11-30 2021-03-12 上海寻梦信息技术有限公司 Method, device and equipment for classifying recipient addresses and storage medium
CN112597755A (en) * 2020-12-29 2021-04-02 杭州拼便宜网络科技有限公司 Geographic position information generation method and device, electronic equipment and storage medium
CN114861658A (en) * 2022-05-24 2022-08-05 北京百度网讯科技有限公司 Address information analysis method and device, equipment and medium
WO2023226448A1 (en) * 2022-05-26 2023-11-30 北京京东振世信息技术有限公司 Method and apparatus for generating logistics point-of-interest information, and device and computer-readable medium

Similar Documents

Publication Publication Date Title
CN110674423A (en) Address positioning method and device, readable storage medium and electronic equipment
US11698261B2 (en) Method, apparatus, computer device and storage medium for determining POI alias
CN109657163B (en) Destination address determining method and device, electronic equipment and storage medium
EP3085121B1 (en) Identifying an entity associated with wireless network access point
US10657669B2 (en) Determination of a geographical location of a user
CN103914498A (en) Search recommending method and device for map searching
CN103823900B (en) Information point importance determines method and apparatus
CN108304423A (en) A kind of information identifying method and device
CN109492122A (en) Acquisition methods, device, terminal and the computer readable storage medium of Business Information
CN105335515A (en) Information recommendation method and information recommendation device
CN109284498A (en) Self-service cabinet recommendation method, self-service cabinet recommendation device and electronic device
CN110012049B (en) Information push method, system, server and computer readable storage medium
CN102467511A (en) Positioning search method and system
CN111460327B (en) Method and device for searching for interest, storage medium and computer equipment
CN106931976B (en) A kind of method and device of navigation information updating
CN104915393A (en) Directional search method and device
KR101260425B1 (en) Cloud-Based AR System
CN111931077A (en) Data processing method and device, electronic equipment and storage medium
CN107426610A (en) Video information synchronous method and device
CN110096609A (en) Source of houses searching method, device, equipment and computer readable storage medium
CN106469205A (en) A kind of method and apparatus of the geographical location information determining user
CN111132027B (en) Scene recognition network graph drawing method, scene recognition method and device
CN110189171B (en) Feature data generation method, device and equipment
CN111782973A (en) Interest point state prediction method and device, electronic equipment and storage medium
CN108920707B (en) Method and device for labeling information

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200110