CN113569564B - Address information processing and displaying method and device - Google Patents
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Abstract
The application discloses a processing method, a display method and a device of address information, wherein the processing method comprises the following steps: resolving the address information to be distributed to obtain an entity object sequence corresponding to the address information to be distributed; wherein the sequence of entity objects comprises entity object information of at least one entity type; according to the entity object information, determining a surrounding candidate address information set of the entity object information meeting the selection requirement; matching the entity object information with candidate entity object information of candidate address information in the surrounding candidate address information set, and selecting target entity object information meeting matching requirements; address information completion is carried out on the address information to be distributed according to the address information corresponding to the target entity object information; therefore, the address information for short or abbreviated address information input to the address information to be distributed can be complemented into the identifiable complete address information, and the determination of relevant parameters of the distribution logistics is facilitated, so that the distribution accuracy is improved.
Description
Technical Field
The present application relates to the field of computer application technologies, and in particular, to a method and an apparatus for processing address information. The application also relates to a method and a device for displaying the address information, a computer storage medium and an electronic device.
Background
With the continuous development of internet technology, living services such as online shopping, takeout ordering, replacement, and the like have become a living habit.
In any living service, a required service resource needs to be allocated to a destination, and thus, filling out a distribution address becomes an indispensable operation in acquiring the service resource.
Disclosure of Invention
The application provides a processing method of address information, which solves the problem of distribution address filling efficiency in the prior art and the problem of distribution blockage caused by the lack of distribution address parts.
The application provides a processing method of address information, which comprises the following steps:
resolving the address information to be distributed to obtain an entity object sequence corresponding to the address information to be distributed; wherein the sequence of entity objects comprises entity object information of at least one entity type;
according to the entity object information, determining a surrounding candidate address information set of the entity object information meeting the selection requirement;
matching the entity object information with candidate entity object information of candidate address information in the surrounding candidate address information set, and selecting target entity object information meeting matching requirements;
And carrying out address information completion on the address information to be distributed according to the address information corresponding to the target entity object information.
In some embodiments, the determining, according to the entity object information, a set of surrounding candidate address information of the entity object information meeting a selection requirement includes:
acquiring longitude and latitude of the entity object information;
determining the distance between the entity object information and the candidate address information to be selected according to the longitude and latitude;
and determining the candidate address information to be selected meeting the distance requirement as the candidate address information in the surrounding candidate address information set.
In some embodiments, the matching the entity object information with candidate entity object information of candidate address information in the surrounding candidate address information set, selecting target entity object information meeting matching requirements, includes:
analyzing the candidate address information to obtain a candidate entity object sequence;
selecting the candidate entity object information matched with the type of the entity object information according to the candidate entity sequence;
calculating the similarity between the entity object information and the candidate entity object information;
And determining the candidate entity object information corresponding to the target similarity meeting the similarity selection requirement as the target entity object information.
In some embodiments, the computing the similarity between the entity object information and the candidate entity object information includes:
performing de-duplication processing on the entity object information and the candidate entity object information respectively to obtain a first character set corresponding to the entity object information and a second character set corresponding to the candidate entity object information;
determining an intersection of the first set of characters and the second set of characters;
determining a first difference set of the first character set relative to the second character set and a second difference set of the second character set relative to the first character set;
determining character information obtained by combining the intersection and the first difference set as a first character combination;
determining character information obtained by combining the intersection and the second difference set as a second character combination;
a first similarity of the first character set and the second character set, a second similarity of the first character set and the intersection, and a third similarity of the second character set and the intersection are calculated.
In some embodiments, the computing a first similarity of the first character set and the second character set, a second similarity of the first character set and the intersection, and a third similarity of the second character set and the intersection comprises:
calculating the first similarity according to the length sum of the characters in the first character combination and the second character combination and the editing distance;
calculating the second similarity according to the length sum of the first character combination and the characters in the intersection and the editing distance;
and calculating the third similarity according to the length sum of the second character combination and the characters in the intersection and the editing distance.
In some embodiments, the determining, as the target entity object information, the candidate entity object information corresponding to the target similarity satisfying the similarity selection requirement includes:
comparing the first similarity, the second similarity and the third similarity between the entity object information and the candidate entity object information for the first time, and selecting a first maximum value set;
performing a second comparison in the first maximum value set, and selecting a second maximum value;
Determining the second maximum value as the target similarity meeting the similarity selection requirement;
and determining the entity object information corresponding to the target similarity as target entity object information.
In some embodiments, the performing address information complementation on the address information to be dispatched according to the address information corresponding to the target entity object information includes:
acquiring target address information corresponding to the target entity object information;
and carrying out address information complementation on the address information to be distributed according to the target address information.
The application also provides a processing device of address information, comprising:
the system comprises an acquisition unit, a distribution unit and a distribution unit, wherein the acquisition unit is used for analyzing address information to be distributed and acquiring an entity object sequence corresponding to the distribution address information; wherein the sequence of entity objects comprises entity object information of at least one entity type;
the determining unit is used for determining a surrounding candidate address information set of the entity object information meeting the selection requirement according to the entity object information;
the matching unit is used for matching the entity object information with candidate entity object information of candidate address information in the surrounding candidate address information set, and selecting target candidate entity object information meeting matching requirements;
And the complementing unit is used for complementing the address information of the address information to be distributed according to the address information corresponding to the target candidate entity object information.
The application also provides a display method of the address information, which comprises the following steps:
inputting address information of an address to be dispatched;
determining whether prompt information for complementing the address information is displayed or not according to the address information;
and responding to the triggering of the prompt information, and outputting target address information after completing the address information, wherein the target address information is the completed address information for completing the address information by adopting the processing method of the address information.
The application also provides a display device of address information, comprising:
the input unit is used for inputting address information of the addresses to be distributed;
the determining unit is used for determining whether prompt information for complementing the address information is displayed or not according to the address information;
and the output unit is used for responding to the triggering of the displayed prompt information and outputting target address information after the address information is complemented, wherein the target address information is the complemented address information of the address information by adopting the processing method according to the address information.
The application also provides a computer storage medium for storing network platform generated data and a program for processing the network platform generated data;
executing the steps of the processing method adopting the address information when the program is read and executed by a processor; alternatively, the step of displaying the address information described above is performed.
The application also provides an electronic device comprising:
a processor;
a memory for storing a program for processing data generated by the network platform, the program, when read and executed by the processor, executing the steps of the processing method using the address information; alternatively, the step of displaying the address information is performed.
Compared with the prior art, the application has the following advantages:
according to the address information processing method, the address information to be distributed is analyzed, and the entity object sequence corresponding to the address information to be distributed is obtained; according to the entity object information, determining a surrounding candidate address information set of the entity object information meeting the selection requirement; matching the entity object information with candidate entity object information of candidate address information in the surrounding candidate address information set, and selecting target entity object information meeting matching requirements; address information completion is carried out on the address information to be distributed according to the address information corresponding to the target entity object information; therefore, the address information for short or abbreviated address information input to the address information to be distributed can be complemented into identifiable complete address information, the determination of relevant parameters of the distribution logistics is facilitated, and the distribution accuracy is improved.
Drawings
FIG. 1 is a flowchart of an embodiment of a method for processing address information provided in the present application;
FIG. 2 is a schematic diagram of an embodiment of an address information processing apparatus according to the present application;
FIG. 3 is a flowchart of an embodiment of a method for displaying address information provided in the present application;
fig. 4 is a schematic diagram of a first application scenario of an embodiment of a method for displaying address information provided in the present application;
fig. 5 is a schematic diagram of a second application scenario of an embodiment of a method for displaying address information provided in the present application;
FIG. 6 is a schematic diagram of an embodiment of a display device for address information provided in the present application;
fig. 7 is a schematic structural diagram of an embodiment of an electronic device provided in the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is, however, susceptible of embodiment in many other ways than those herein described and similar generalizations can be made by those skilled in the art without departing from the spirit of the application and the application is therefore not limited to the specific embodiments disclosed below.
The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. The manner of description used in this application and in the appended claims is for example: "a", "a" and "a" etc. are not limited in number or order, but are used to distinguish the same type of information from each other.
In view of the above background, it is known that, when delivery is involved in any application service, address information is required to achieve the delivery service, so in the logistics delivery system, the accuracy and integrity of the address can affect the key information such as path planning, delivery time estimation, etc. involved in the delivery service. Therefore, it is very important and critical to improve the accuracy and integrity of addresses.
In the prior art, manual input is generally required for filling address information, and a manual input mode has at least two problems, namely that a user needs to search detailed address information of a distribution position when filling an address, so that address information is time-consuming to fill; on the other hand, the user fills in the address as a brief address, for example, inputs several keywords, so that the accuracy of the delivery address is affected. Based on the problems existing in address information filling in the prior art, the application provides an invention conception of address completion, and the accuracy of the address information is ensured while the address filling efficiency is improved.
As shown in fig. 1, fig. 1 is a flowchart of an embodiment of a method for processing address information provided in the present application, where the method includes:
step S101: resolving the address information to be distributed to obtain an entity object sequence corresponding to the address information to be distributed; wherein the sequence of entity objects comprises entity object information of at least one entity type.
The address information to be distributed in step S101 may be understood as address information that the user needs to distribute the service resource to the destination in the building area after selecting the service resource, where the service resource may be a product with a physical structure, for example: articles for daily use such as dining, medicines and clothing. The sequence of entity objects may be a sequence comprising one or more entity objects, the sequence comprising at least one entity type of entity object information. The entity object may be understood as a text segment in the address information, for example: the real north road 818 number near iron city square in the Shanghai city, wherein the Shanghai city, the Putuo region, the real north road 818 number and the near iron city square are entity object information of different entity types respectively. The entity types may include: p (province/direct administration city), C (city), D (county), S (street), V (village and town), R (road), RN (road house number), I (poi: interest point), A (building block), B (building number), F (floor number) and other types, along with the use of the above example, shanghai city is P type, putuo district is D type, north road 818 is RN type, and near-iron city square is I type. It should be noted that, the meaning of the entity object information is only illustrated here by way of example, and the meaning is not represented by the entity object information corresponding to the address information to be delivered. The following description is made about entity object information corresponding to the address information to be distributed.
In this embodiment, the address information to be delivered may be information manually input by the user, or may be information automatically obtained through positioning after the user authorizes, and the user confirms the positioning, for example: through the poi information obtained by GPS positioning, firstly, when the address information of the current position of the user is different from the delivery address information, the user is required to manually input the address information to be delivered, and the address information to be delivered can be brief address information; and secondly, when the address information of the current position of the user is the same as the address information to be dispatched, the address information to be dispatched can be manually input, and the address information to be dispatched can also be automatically input through positioning.
In this embodiment, the resolving the address information to be distributed may be using a named entity recognition method (NER), where the named entity recognition method is used for sequence labeling of text. Such as extracting entities in the address such as province, city, district, street, poi, etc. Therefore, in the step S101, the distribution address information may be resolved by a named entity recognition method, and text information describing the entity object information in the address information to be distributed is extracted. For example: the address information to be distributed is near iron mall building 2, and after analysis, I type entity object information 'near iron mall' and B type entity object information 'building 2' can be obtained, one entity object information is selected from a plurality of entity object information, and in the embodiment, I type entity object information is adopted for description.
Step S102: and determining a surrounding candidate address information set of the entity object information meeting the selection requirement according to the entity object information.
The purpose of step S102 is to recall, as a set of surrounding candidate address information, surrounding address information having a positional relationship with the entity object information, based on the entity object information.
In this embodiment, the location of the peripheral address information may be recalled according to the longitude and latitude of the entity object information, for example: when the entity object information is of the type I, namely the poi entity object, determining surrounding address information according to the longitude and latitude of the poi entity object, wherein the selection requirement is a selection requirement meeting the surrounding or nearby distance range. The set of surrounding candidate address information may be a set including at least one candidate entity object information, and of course, in this embodiment, a plurality of sets may be included, that is, the surrounding address information may include a plurality of sets, for example: either 50 or 100 are selected. The selection requirement can be determined according to a GeoHash address coding mode, the GeoHash is an address coding method capable of coding longitude and latitude data of a two-dimensional space into a binary character string, and generally comprises the steps of firstly converting longitude and latitude into binary, secondly combining longitude and latitude, and then coding to obtain a rectangular area. In this embodiment, a GeoHash address coding manner is used to determine nine regions with similar longitude and latitude corresponding strings of entity object information in the address information to be distributed, where a central region may be longitude and latitude information of the address to be distributed, and other eight regions are peripheral regions. And in the eight region ranges, determining the address information to be selected as a surrounding candidate address information set according to the address information to be selected, wherein the distance of the address information to be selected meets the requirement of selecting a distance threshold. The GeoHash address coding scheme belongs to the prior art and will not be described in detail here. In this embodiment, a code length of 7 bits is used. For the GeoHash address coding mode, different coding lengths represent different precision, and the larger the length is, the larger the precision is, so that the coding length can be determined according to the actual application scene.
In this embodiment, the selection of the candidate address information set is determined by using a GeoHash address coding manner, and the predetermined distance may be selected from the determined poi physical object information by determining the physical object as a center and the predetermined distance as the peripheral poi physical object information determined by the radius, where the predetermined distance requirement is satisfied, for example: address information within 1km is determined as candidate address information in the surrounding candidate address information set.
Thus, the specific implementation procedure of step S102 may include:
step S102-1: acquiring longitude and latitude of the entity object information; the longitude and latitude acquiring mode of the entity object information may be GPS positioning or drag adjustment of map information points, and when the position of the entity object information corresponding to the address information to be distributed is determined, the longitude and latitude of the adjusted entity object information may also be acquired. In consideration of the fact that the current position of the user may not be the position to be distributed, the accuracy of the selected candidate address information can be improved through the longitude and latitude acquisition, and the possibility that the candidate address information is selected incorrectly due to the fact that the same entity object information is located in different geographic positions may exist. Therefore, the method for acquiring the longitude and latitude of the entity object information in the address information to be distributed may be various, and is not limited to the above method.
Step S102-2: and determining the distance between the entity object information and the candidate address information to be selected according to the longitude and latitude.
Step S102-3: and determining the candidate address information to be selected meeting the distance requirement as the candidate address information in the surrounding candidate address information set.
The setting and the selecting mode of the selecting requirement can have various forms, and the selecting requirement and the selecting mode are not limited as long as the candidate address information in the selected peripheral candidate address information set is the peripheral address information of the entity object information corresponding to the address information to be distributed.
Along the example in the above step S101, the address information to be distributed is near iron mall building No. 2, and the corresponding entity object sequence is { near iron mall/building No. 2 }; the candidate address information included in the set of surrounding candidate address information may include: { Shanghai Putuo district Changfeng Xincun street true North road 818 near the iron city square, shanghai Putuo district Jinshajiang road 1628 oasis center, shanghai Putuo district true North road 1108 Red Star Kailong, shanghai Putuo district true Jiang Lu 958 heaven-earth science and technology square }.
Step S103: and matching the entity object information with candidate entity object information of the candidate address information in the surrounding candidate address information set, and selecting target entity object information meeting the matching requirement.
The purpose of step S103 is to screen out target entity object information from the candidate address information.
The specific implementation process of step S103 may include:
step S103-1: analyzing the candidate address information to obtain a candidate entity object sequence;
step S103-2: selecting the candidate entity object information matched with the type of the entity object information according to the candidate entity sequence;
step S103-3: calculating the similarity between the address information to be distributed and the candidate entity object information;
step S103-4: and determining the candidate entity object information corresponding to the target similarity meeting the similarity selection requirement as the target entity object information.
The steps S103-1 to S103-4 are described below, respectively.
In this embodiment, in the step S103-1, the analyzing the candidate address information may use a named entity recognition algorithm to obtain a corresponding candidate entity object sequence, and by using the example in the step S102, the candidate entity object sequence may include:
the first candidate entity object information is: the city square near the iron city of the real north road 818 number of the long wind new village street in the top sea city pustule area, and the candidate entity object sequence comprises: shanghai city (P), putuo district (D), long wind Xincun street (S), true North road (R) 818 (N), near iron city square (I).
The second candidate entity object information is: the middle ring center of the oasis 1628 in the pustule area of Shanghai city, the candidate entity object list comprises: shanghai city (P), putuo district (D), jinshajiang road (R), 1628 (N), oasis middle ring center (I).
The third candidate entity object information is: the real north road 1108 red star Kailong in the Putuo district of Shanghai city, the candidate entity object list comprises: shanghai city (P), putuo district (D), long wind Xincun street (S), true North road (R) 818 (N), near iron city square (I).
The fourth candidate entity object information is: the Shanghai Putuo district true Jiang Lu 958 heaven-earth science and technology square, and the candidate entity object list comprises: shanghai city (P), putuo district (D), true Jiang Lu (R), no. 958 (N), heaven and earth science and technology square (I).
The candidate entity object information can obtain the corresponding complete address information through the address library. Here, only the above four candidate entity object information is illustrated, and in fact, the candidate entity object information may include a plurality of candidate entity object sequences corresponding to the address information to be delivered and candidate entity object sequences corresponding to the candidate entity object information are shown in the following table:
in this embodiment, in step S103-2, the entity type is taken as an example of type I, that is, the entity object is poi, the candidate entity object sequence selects poi candidate entity object information, the entity object information is [ near iron mall ], and the candidate entity object information is [ near iron city square, middle ring of oasis, red star makino dragon, heaven-earth science square ].
The purpose of the step S103-3 is to calculate the similarity between the entity object information and the candidate entity object information. The specific process of step S103-3 in this embodiment may include:
step S103-31: performing de-duplication processing on the entity object information and the candidate entity object information respectively to obtain a first character set (S1) corresponding to the entity object information and a second character set (S2) corresponding to the candidate entity object information;
the de-duplication processing in step S103-31 may select a de-duplication subset matching manner, so as to de-duplicate repeated characters in the entity object information and de-duplicate repeated characters in the candidate entity object information. For example by means of de-emphasis subset matching (Token Set Ratio) in fuzzy string matching methods. Because the de-emphasis subset matching (Token Set Ratio) belongs to the prior art, it is not described in detail here.
Along with the above example, the first character set (S1) corresponding to the entity object information may be: the second character set (S2) corresponding to the candidate entity object information may include a plurality of, for example: set 1 is [ near/iron/city/wide/field ]; set 2 is [ green/continent/mid/ring/heart ]; set 3 is [ red/star/mex/kelong ]; set 4 is [ day/ground/department/skill/field ].
Step S103-32: determining an intersection of the first set of characters and the second set of characters;
step S103-33: determining a first difference set of the first character set relative to the second character set and a second difference set of the second character set relative to the first character set;
along with the above example, [ near/iron/quotient/field ] in the first character set (S1) is separately intersected with each of the second character sets (S2) to determine an intersection (S), as shown in the following table:
step S103-25: determining character information obtained by combining the intersection and the first difference set as a first character combination;
the first character combination (s+s12) according to the above table includes: set 1[ near/iron/field/quotient ], set 2[ near/iron/quotient/field ], set 3[ near/iron/quotient/field ], set 4[ near/iron/quotient/field ].
Step S103-26: determining character information obtained by combining the intersection and the second difference set as a second character combination;
the second character combination (s+s21) according to the above table includes: set 1[ near/iron/field/city/guangzhou ]; set 2[ green/continent/mid/ring/heart ]; set 3[ red/star/mex/kei/long ]; set 4[ field/day/ground/department/skill/broad ].
The following table:
step S103-27: calculating a first similarity of the first character set and the second character set, a second similarity of the first character set and the intersection, and a third similarity of the second character set and the intersection;
The specific implementation process of the step S103-27 may include:
steps S103-271: calculating the first similarity according to the length sum of the characters in the first character combination and the second character combination and the editing distance; namely: calculating the similarity of (S+S12, S+S21);
steps S103-272: calculating the second similarity according to the length sum and the editing distance of the first character combination and the entity object sequence in the intersection; namely: calculating the similarity of (S+S12, S);
step S103-273: calculating the third similarity according to the length sum of the characters in the second character combination and the intersection and the editing distance; namely: the similarity of (s+s21, S) is calculated.
Wherein, in the steps S103-271 to S103-273, the sum of the lengths of the characters can be understood as the sum of the lengths of the characters in the two sets. The edit distance may be calculated by comparing the characters in the first character set and the second character set, and if the two characters have the same distance of 0, the distance is increased by 1, and only the set 1 in the character set is exemplified as follows:
the edit distance of the first character combination and the second character combination is 3.
In this embodiment, the following formula may be used for calculating the similarity:
score = (len_sum-len_dist)/len_sum, wherein the score is a similarity value, the len_sum is the sum of the lengths of two texts, and len_dist is a class editing distance; the above example: len_sum is the sum of the text character lengths of the first character combination [ near/iron/field/quotient ] of 7 and the second character combination [ near/iron/field/city/wide ] of 11, with the total length of len_sum=18; len_dist=3; score=0.83, i.e.: the first similarity is 0.83.
Similarly, a second similarity of the first character combination and the intersection is calculated:
according to the above formula, the character length of the first character combination [ near/iron/field/quotient ] is 7, the character length of the intersection [ near/iron/field ] is 5, and the total length is len_sum=12; len_dist=1; score=0.92, i.e.: the second similarity is 0.92.
Similarly, a third similarity of the second character combination and the intersection is calculated:
according to the above formula, the character length of the intersection [ near/iron/field ] is 5, the character length of the second character combination [ near/iron/field/city/wide ] is 11, and the total length is len_sum=16; len_dist=3; score=0.81, i.e.: the third similarity is 0.81.
As can be seen from the above, the similarity between the first character set (S1) and the second character set (S2) is score=0.92, that is: the similarity between [ near/iron/business/field ] and [ near/iron/city/wide/field ] was 0.92; that is, the largest of the three similarities is selected as the similarity of [ near/iron/business/field ] and [ near/iron/city/wide/field ].
In combination with the above, the similarity for the other sets in the first character set (S1) and the second character set (S2) may be:
the first similarity of [ near/iron/business/field ] (s+s12) and [ green/continent/middle/ring/heart ] (s+s21) is 0.69; a second similarity of [ near/iron/quotient/field ] (s+s12) and [ null ] (S) is 0; the third similarity between [ green/continent/middle/ring/heart ] (s+s21) and [ null ] (S) is 0;
the first similarity of [ near/iron/business/field ] (s+s12) and [ red/star/mex/key ] (s+s21) is 0.69; a second similarity of [ near/iron/quotient/field ] (s+s12) and [ null ] (S) is 0; the third similarity between [ red/star/Mei/Kai/Dragon ] (S+S21) and [ null ] (S) is 0;
the first similarity of [ near/iron/business/field ] (s+s12) and [ field/day/earth/department/skill/guang ] (s+s21) is 0.66; the [ near/iron/quotient/field ] (s+s12) and [ field ] (S) second similarity is 0.62; the third similarity between [ field/day/ground/department/skill/guang ] (s+s21) and [ field ] (S) is 0.58;
The above is merely an example, and how much the similarity is specifically calculated is determined according to the number of actual candidate entity object information.
Step S103-3: and determining the candidate entity object information corresponding to the target similarity meeting the similarity selection requirement as the target entity object information.
The purpose of the step S103-3 is to compare the similarity values obtained by the calculation in the steps S103-271 to S103-273, and select the maximum value. Thus, the specific implementation procedure of the step S103-3 may include:
step S103-31: comparing the first similarity, the second similarity and the third similarity between the entity object information and the candidate entity object information for the first time, and selecting a first maximum value set;
step S103-32: performing a second comparison in the first maximum value set, and selecting a second maximum value;
step S103-33: determining the second maximum value as the target similarity meeting the similarity selection requirement;
step S103-34: and determining the entity object information corresponding to the target similarity as target entity object information.
Assuming that the first maximum value set of the similarity is [0.92,0.69,0.66] and the second maximum value is 0.92 in the above example, the "near-iron city square" corresponding to the entity object information of 0.92 is determined as the target entity object information.
Step S104: address information complementation is carried out on the address information to be distributed according to the target address information corresponding to the target entity object information;
the specific implementation process of step S104 may include:
step S104-1: acquiring target address information corresponding to the target entity object information; the target entity object information is 'near-iron city square', and the corresponding address information can be obtained as target address information by searching an address library, namely: the Shanghai city Putuo district long wind Xincun street true north road 818;
step S104-2: and carrying out address information complementation on the address information to be distributed according to the target address information.
The step S104-2 may specifically include:
step S104-21: combining the target address information with the address information to be distributed corresponding to the entity object information; for example: the address information to be distributed is 'near iron house building 2' +the target address information 'Shanghai Putuo district long wind new village street real north road 818';
step S104-22: sorting the combined entity object sequences according to the address information arrangement order; based on the above example: "Putuo area of Shanghai city in near iron house 2 building," real north road 818 of street in Novacea of Shanghai city after ordering "is" Shanghai city Putuo area of Putuo area in Novacea 818 building of near iron house 2 ";
Step S104-23: and determining the ordered entity object sequence as the complement address information of the address information to be distributed. It can be understood that, in the above example, because the address information to be delivered is a poi entity, other entity information is not needed to be considered in merging, if the address information to be delivered is near the iron house building 2 in Shanghai city, other entity information in the target address information can be extracted in merging, and the same entity information can be not extracted, or the duplicate removal processing can be performed after merging, so that the specific mode is not limited.
As shown in fig. 4, fig. 4 shows a schematic view of an application scenario in the address information completion process.
According to the embodiment of the address information processing method, the candidate entity object information around the entity object information to be distributed can be determined through positioning the entity object information of the address information to be distributed, the address information to be matched can be complemented to the maximum level layer through address matching, and the problems that related data cannot be prejudged or distributed due to address errors caused by short address complementation to be matched and low complementation level are avoided.
The foregoing is a specific description of an embodiment of a method for processing address information provided in the present application, corresponding to the foregoing embodiment of a method for processing address information provided in the present application, and further discloses an embodiment of an apparatus for processing address information, please refer to fig. 2, and since the apparatus embodiment is substantially similar to the method embodiment, the description is relatively simple, and the relevant points refer to part of the description of the method embodiment. The device embodiments described below are merely illustrative.
As shown in fig. 2, fig. 2 is a schematic structural diagram of an embodiment of an address information processing apparatus provided in the present application, where the embodiment includes:
an obtaining unit 201, configured to parse address information to be dispatched to obtain an entity object sequence corresponding to the address information to be dispatched; wherein the sequence of entity objects comprises entity object information of at least one entity type;
for the specific content of the acquisition unit 201, reference is made to the description of step S101, and the detailed description is not repeated here.
A determining unit 202, configured to determine, according to the entity object information, a set of candidate address information surrounding the entity object information that meets a selection requirement;
the determination unit 202 includes: the method comprises the steps of acquiring a subunit, a first determining subunit and a second determining subunit;
the acquisition subunit is used for acquiring the longitude and latitude of the entity object information;
the first determining subunit is configured to determine, according to the longitude and latitude, a distance between the entity object information and candidate address information to be selected;
the second determining subunit is configured to determine the candidate address information to be selected that meets a distance requirement as the candidate address information in the surrounding candidate address information set.
For the specific content of the determination unit 202, reference may be made to the description of step S102 described above, which is only briefly described here.
A matching unit 203, configured to match the entity object information with candidate entity object information of candidate address information in the surrounding candidate address information set, and select target entity object information that meets a matching requirement;
the matching unit 203 includes: the method comprises the steps of obtaining a subunit, selecting the subunit, calculating the subunit and determining the subunit;
the obtaining subunit is configured to parse the candidate address information to obtain a candidate entity object sequence;
the selecting subunit is configured to select, according to the candidate entity sequence, the candidate entity object information that matches the type of the entity object information;
the calculating subunit is configured to calculate a similarity between the entity object information and the candidate entity object information;
the determining subunit is configured to determine, as the target entity object information, the candidate entity object information corresponding to the target similarity that meets a requirement for similarity selection.
The computing subunit includes: a deduplication processing subunit, an intersection determination subunit, a difference determination subunit, a first combination determination subunit, a second combination determination subunit, and a similarity calculation subunit;
The de-duplication processing subunit is configured to perform de-duplication processing on the entity object information and the candidate entity object information respectively, so as to obtain a first character set corresponding to the entity object information and a second character set corresponding to the candidate entity object information;
the intersection determination subunit is configured to determine an intersection of the first character set and the second character set;
the difference set determining subunit is configured to determine a first difference set of the first character set relative to the second character set, and a second difference set of the second character set relative to the first character set;
the first combination determining subunit is configured to determine character information after the intersection and the first difference set are combined as a first character combination;
the second combination determining subunit is configured to determine character information after the intersection and the second difference set are combined as a second character combination;
the similarity calculation subunit is configured to calculate a first similarity of the first character combination and the second character combination, a second similarity of the first character combination and the intersection, and a third similarity of the second character combination and the intersection.
The similarity calculation subunit includes: the first computing subunit, the second computing subunit and the third computing subunit;
the first calculating subunit is configured to calculate the first similarity according to the length sum of the characters in the first character combination and the second character combination and the editing distance;
the second calculating subunit is configured to calculate the second similarity according to the sum of the lengths of the first character combination and the characters in the intersection, and an editing distance;
the third calculating subunit is configured to calculate the third similarity according to the sum of the lengths of the second character combination and the characters in the intersection, and the edit distance.
The determining subunit includes: the system comprises a first maximum selection subunit, a second maximum selection subunit, a target similarity determination subunit and a target entity determination subunit;
the first maximum selection subunit is configured to compare the first similarity, the second similarity, and the third similarity between the entity object information and the candidate entity object information for the first time, and select a first maximum set;
the second maximum selecting subunit is configured to perform a second comparison in the first maximum set, and select a second maximum;
The target similarity determining subunit is configured to determine the second maximum value as the target similarity that meets a similarity selection requirement;
the target entity determining subunit is configured to determine entity object information corresponding to the target similarity as target entity object information.
For the specific content of the matching unit 203, reference may be made to the description of step S103 described above, which is only briefly described here.
A complementing unit 204, configured to perform address information complementation on the address information to be distributed according to the address information corresponding to the target entity object information;
the complementing unit 204 includes: acquiring a subunit and a complement subunit;
the obtaining subunit is configured to obtain target address information corresponding to the target entity object information;
and the complementing subunit is used for complementing the address information of the address information to be distributed according to the target address information.
The complement subunit 204 includes: a merging subunit, a sorting subunit and a determining subunit;
the merging subunit is configured to merge the target address information with the address information to be distributed corresponding to the entity object information;
the sorting subunit is used for sorting the combined entity object sequences according to the address information arrangement order;
And the determining subunit is used for determining the ordered entity object sequence as the complement address information of the address information to be distributed.
For the specific content of the completion unit 204, reference is made to the description of step S104 described above, which is only briefly described here.
The foregoing describes an embodiment of an address information processing apparatus provided in the present application, and based on the foregoing, the present application further provides a method for displaying address information, as shown in fig. 3, where the embodiment of the method for displaying address information includes:
step S301: inputting address information of an address to be dispatched;
the address information of the address to be delivered input in step S301 may be manually input by the user or may be automatically input by positioning under the authorization of the user, and the input address information may be brief address information, for example: a poi (Point of Interest: interest point) may be a house, a shop, a mailbox, a bus station, etc., and then the poi information may be the name of the interest point, i.e., text information indicating the name of the interest point; the road information may be road information or road and poi information. There is no specific requirement for the input address information, and in order to improve the address input efficiency, in this embodiment, the main input is address abbreviation, which may include at least one entity object information.
Step S302: determining whether prompt information for complementing the address information is displayed or not according to the address information;
the purpose of the step S302 is to determine whether the completion operation is required through the address information, so, for the address information input in the step S301, prompt information for performing the completion operation on the address may be displayed, and of course, it may be understood that a user may perform the completion operation on the address information by himself or may perform the manual completion operation according to the address information input by location, when it is determined that the address information is incomplete and the completion operation is required, prompt information for the completion operation may be displayed, and the user may trigger the completion operation for the prompt information, that is, the completion operation may be automatically triggered according to the determination on the address information, or may trigger the operation on the prompt information by the user. When the type of the entity object information identified by the address information is only I type or RN type or lacks other entity types in the address standard arrangement rule, prompt information can be displayed. The prompt information can be displayed in a mode of outputting information, or the unavailable state of the current existing prompt information can be displayed as the available state, the state can be in a static form or a dynamic form, and/or a corresponding description label is attached, and the specific form of the prompt information is not limited.
Step S303: responding to the trigger of the prompt message, and outputting the target address which is obtained according to the address information processing method and is complemented by the address information;
when the user triggers the prompt message, the address completion operation is performed according to the specific content from step S101 to step S104 in the address information processing method, as shown in fig. 4, and in fig. 4, an application scenario example of the address information completion process is shown. The specific location of the complement address output is not limited, and the complement address may be replaced by the address to be dispatched input by the user, or may be output to a specified complement address location. In fig. 4, the complement address information may be displayed in a layered form, or the complement address information may be directly output in a complete address information form (as shown in fig. 5).
It should be noted that, for the input address to be distributed and the output complement address information related to the method for displaying the address information provided in the application, the display scene may be displayed on any page where the address information needs to be set or filled, the display of the complement address information may also be performed based on the corresponding information point on the map, the address information to be distributed may also be displayed on the corresponding information point on the map, and the address information of the information point on the map after the complement may replace the address information to be distributed. Therefore, no matter whether the address information to be distributed or the complement address information is displayed, the display mode is not limited, and the user side understands that the display of the complement address information can be verified and confirmed by the user on one hand; on the other hand, the user can know the completion address information corresponding to the input address information to be distributed; the third party delivery side understands that the complete address information can be obtained according to the obtained address information to be delivered, so that the calculation of the related parameters of the delivery flow and the installation of the delivery service are facilitated; the service side understands that the overall display or output can be obtained according to the complement process of the address information to be distributed, so that the reference information can be conveniently provided for the optimization of the address complement process. In this embodiment, the display mode of the address information may be displayed on different end sides, and the display mode may also include a plurality of modes.
The embodiment of the address information display method can complete the complement output of the complete address information according to the input short or summary information of the delivery address, thereby improving the efficiency of integrally acquiring the resource service and accelerating the processing speed of the delivery logistics information. Meanwhile, the third party can improve distribution efficiency based on the complete address information.
The foregoing is a specific description of an embodiment of a method for displaying address information provided in the present application, corresponding to the foregoing embodiment of a method for displaying address information provided in the present application, and further discloses an embodiment of a device for displaying address information, please refer to fig. 6, and since the device embodiment is substantially similar to the method embodiment, the description is relatively simple, and the relevant points refer to a part of the description of the method embodiment. The device embodiments described below are merely illustrative.
As shown in fig. 6, fig. 6 is a schematic structural diagram of an embodiment of an address information display device provided in the present application, where the embodiment of the device includes:
an input unit 601 for inputting address information of an address to be dispatched;
for the specific content of the input unit 601, reference may be made to the content of step S301, and the detailed description is not repeated here.
A determining unit 602, configured to determine, for the address information, whether to display a prompt message for complementing the address information;
the specific content of the determining unit 601 may refer to the content of step S302, and the detailed description is not repeated here.
An output unit 603, configured to output, in response to a trigger for the displayed prompt information, a complement address obtained according to the address information processing method and after the address information is complemented;
the specific content of the output unit 603 may refer to the content of step S303, and the detailed description thereof will not be repeated here.
Based on the foregoing, the present application further provides a computer storage medium for storing network platform generated data and a program for processing the network platform generated data;
the program, when read and executed by a processor, performs the steps of the address information processing method described above; alternatively, the steps of the display method of address information as described above are performed.
Based on the foregoing, as shown in fig. 7, the present application further provides an electronic device, including:
a processor 701;
a memory 702 for storing a program for processing network platform generated data, which when read and executed by the processor, performs the steps of the address information processing method described above; alternatively, the steps of the display method of address information as described above are performed.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
1. Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer readable media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.
2. It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
While the preferred embodiment has been described, it is not intended to limit the invention thereto, and any person skilled in the art may make variations and modifications without departing from the spirit and scope of the present invention, so that the scope of the present invention shall be defined by the claims of the present application.
Claims (11)
1. A method for processing address information, comprising:
resolving the address information to be distributed to obtain an entity object sequence corresponding to the address information to be distributed; wherein the sequence of entity objects comprises entity object information of at least one entity type;
determining a surrounding candidate address information set of the entity object information meeting the selection requirement according to the distance between the entity object information and the candidate address information to be selected;
Selecting target entity object information according to the similarity between the entity object information and candidate entity object information of candidate address information in the surrounding candidate address information set;
address information completion is carried out on the address information to be distributed according to the address information corresponding to the target entity object information;
wherein selecting target entity object information according to the similarity between the entity object information and candidate entity object information of candidate address information in the surrounding candidate address information set includes:
performing de-duplication processing on the entity object information and the candidate entity object information respectively to obtain a first character set corresponding to the entity object information and a second character set corresponding to the candidate entity object information;
determining an intersection of the first set of characters and the second set of characters;
determining a first difference set of the first character set relative to the second character set and a second difference set of the second character set relative to the first character set;
determining character information obtained by combining the intersection and the first difference set as a first character combination;
determining character information obtained by combining the intersection and the second difference set as a second character combination;
Calculating a first similarity of the first character set and the second character set, a second similarity of the first character set and the intersection, and a third similarity of the second character set and the intersection;
and selecting target entity object information according to the first similarity, the second similarity and the third similarity.
2. The method for processing address information according to claim 1, wherein determining, based on the entity object information, a set of surrounding candidate address information of the entity object information satisfying a selection requirement, comprises:
acquiring longitude and latitude of the entity object information;
determining the distance between the entity object information and the candidate address information to be selected according to the longitude and latitude;
and determining the candidate address information to be selected meeting the distance requirement as the candidate address information in the surrounding candidate address information set.
3. The method according to claim 1, wherein selecting the target entity object information based on the similarity between the entity object information and candidate entity object information of candidate address information in the set of surrounding candidate address information, comprises:
Analyzing the candidate address information to obtain a candidate entity object sequence;
selecting the candidate entity object information matched with the type of the entity object information according to the candidate entity sequence;
calculating the similarity between the entity object information and the candidate entity object information;
and determining the candidate entity object information corresponding to the target similarity meeting the similarity selection requirement as the target entity object information.
4. The method of processing address information according to claim 1, wherein the calculating a first similarity of the first character combination and the second character combination, a second similarity of the first character combination and the intersection, and a third similarity of the second character combination and the intersection includes:
calculating the first similarity according to the length sum of the characters in the first character combination and the second character combination and the editing distance;
calculating the second similarity according to the length sum of the first character combination and the characters in the intersection and the editing distance;
and calculating the third similarity according to the length sum of the second character combination and the characters in the intersection and the editing distance.
5. The method for processing address information according to claim 1, wherein determining the candidate entity object information corresponding to the target similarity satisfying a similarity selection requirement as the target entity object information includes:
comparing the first similarity, the second similarity and the third similarity between the entity object information and the candidate entity object information for the first time, and selecting a first maximum value set;
performing a second comparison in the first maximum value set, and selecting a second maximum value;
determining the second maximum value as the target similarity meeting the similarity selection requirement;
and determining the entity object information corresponding to the target similarity as target entity object information.
6. The method for processing address information according to claim 1, wherein the performing address information completion on the address information to be dispatched according to the address information corresponding to the target entity object information comprises:
acquiring target address information corresponding to the target entity object information;
and carrying out address information complementation on the address information to be distributed according to the target address information.
7. An address information processing apparatus, comprising:
the system comprises an acquisition unit, a distribution unit and a distribution unit, wherein the acquisition unit is used for analyzing address information to be distributed and acquiring an entity object sequence corresponding to the distribution address information; wherein the sequence of entity objects comprises entity object information of at least one entity type;
the determining unit is used for determining a surrounding candidate address information set of the entity object information meeting the selection requirement according to the distance between the entity object information and the candidate address information to be selected;
the matching unit is used for matching the entity object information with candidate entity object information of candidate address information in the surrounding candidate address information set, and selecting target candidate entity object information meeting matching requirements;
the complementing unit is used for complementing the address information of the address information to be distributed according to the address information corresponding to the target candidate entity object information;
the matching unit is specifically configured to perform deduplication processing on the entity object information and the candidate entity object information, respectively, to obtain a first character set corresponding to the entity object information and a second character set corresponding to the candidate entity object information;
Determining an intersection of the first set of characters and the second set of characters;
determining a first difference set of the first character set relative to the second character set and a second difference set of the second character set relative to the first character set;
determining character information obtained by combining the intersection and the first difference set as a first character combination;
determining character information obtained by combining the intersection and the second difference set as a second character combination;
calculating a first similarity of the first character set and the second character set, a second similarity of the first character set and the intersection, and a third similarity of the second character set and the intersection;
and selecting target entity object information according to the first similarity, the second similarity and the third similarity.
8. A display method of address information, characterized by comprising:
inputting address information of an address to be dispatched;
determining whether prompt information for complementing the address information is displayed or not according to the address information;
and outputting target address information after completing the address information in response to triggering the prompt information, wherein the target address information is the completed address information for completing the address information by adopting the address information processing method according to any one of claims 1 to 6.
9. A display device of address information, comprising:
the input unit is used for inputting address information of the addresses to be distributed;
the determining unit is used for determining whether prompt information for complementing the address information is displayed or not according to the address information;
an output unit, configured to output, in response to triggering the prompt information displayed, target address information after completing the address information, where the target address information is completed address information obtained by completing the address information by using the address information processing method according to any one of claims 1 to 6.
10. A computer storage medium for storing network platform generated data and a program for processing the network platform generated data;
the program, when read and executed by a processor, performs the steps of the processing method using the address information according to any one of claims 1 to 6; alternatively, a step of displaying the address information according to claim 8 is performed.
11. An electronic device, comprising:
a processor;
a memory for storing a program for processing network platform production data, which when read and executed by the processor, performs the steps of the processing method employing address information according to any one of claims 1 to 6; alternatively, a step of displaying the address information according to claim 8 is performed.
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