CN117370680A - Information determination method, device, equipment and computer storage medium - Google Patents

Abstract

The embodiment of the application provides an information determining method, device, equipment and computer storage medium, wherein the method comprises the steps of acquiring resident position information of a first object, and resident position information and broadband installation position information of a plurality of second objects, wherein the first object is an object to be installed with a broadband, and the second object is an object installed with the broadband; calculating the distance between the resident location information of each second object and the resident location information of the first object; arranging the second objects in sequence from near to far according to the distance to obtain a target sequence; acquiring broadband installation position information of a second object corresponding to the first k distances in a target sequence, wherein k is a preset value; and determining the most wideband installation position information in the wideband installation position information of the second object corresponding to the first k distances as target installation position information of the first object. According to the embodiment of the application, the broadband installation address of the object to be installed with the broadband is matched, so that the accuracy of the matching result is improved.

Description

Information determination methods, devices, equipment and computer storage media

Technical field

This application belongs to the field of Internet technology, and in particular relates to an information determination method, device, equipment and computer storage medium.

Background technique

With the rapid development of Internet technology, the market for broadband installation services is getting larger and larger. In order to quickly complete the broadband installation services, it is necessary to determine the broadband coverage address corresponding to the permanent address of potential customers.

In the existing technology, the user's mobile phone number is usually used to determine the user's home area through the call base station and the mobile data usage base station. The home area is matched with the broadband coverage address stored in the background broadband resource management system to determine the user's home area. Broadband coverage address corresponding to the resident area in order to complete the broadband installation business. However, the fine-grained mismatch between the base station address and the broadband address will lead to less accurate matching results.

Contents of the invention

Embodiments of the present application provide an information determination method, device, equipment and computer storage medium, which can solve the problem in the prior art that matching the home resident area with the background broadband resource management system will lead to low accuracy of the matching results.

In a first aspect, embodiments of the present application provide an information determination method, which method includes:

Obtain the resident location information of the first object, and the resident location information and broadband installation location information of a plurality of second objects. The first object is the object to be installed with broadband, and the second object is the object that has installed broadband. ;

Calculate the distance between the resident position information of each second object and the resident position information of the first object;

Arrange the second objects in order from near to far to obtain a target sequence;

Obtain the broadband installation position information of the second object corresponding to the first k distances in the target sequence, where k is a preset value;

It is determined that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is the target installation location information of the first object.

In one implementation, obtaining the resident location information of the first object includes:

Obtain multiple location information obtained by locating the first object at a preset frequency, and the time spent at multiple locations;

It is determined that among the plurality of position information, the position information that stays at the plurality of positions for the longest time and/or the most times is the resident position information of the first object.

In one implementation, obtaining broadband installation location information of multiple second objects includes:

Obtain address information of broadband installations of multiple second objects, where the address information includes information of a first address sequence and information of a second address sequence;

Filter the information of the second address sequence in the address information through a regular expression;

It is determined that the information of the first address sequence in the address information is broadband installation location information of a plurality of second objects.

In one embodiment, the information on the first address sequence includes information on the sequence of provinces, cities, districts, streets, administrative villages, and communities; the information on the second address sequence includes the information on the sequence of buildings, units, and floors. information.

In one implementation, after calculating the distance between the resident location information of each second object and the resident location information of the first object, the method further includes:

It is determined that among the broadband installation location information of the second object corresponding to a distance smaller than the preset distance threshold, the largest number of broadband installation location information is the target installation location information.

In one embodiment, the method further includes:

Obtain address-related documents of the first object;

Perform word segmentation processing on the target installation location information to obtain multiple words after word segmentation;

According to the mapping relationship between the multiple words and the position of the word in the document, obtain the number of times the multiple words appear in the document;

If the number of times exceeds the preset threshold, the target installation location information is output.

In a second aspect, embodiments of the present application provide an information determination device, which includes:

An acquisition module is used to obtain the resident location information of a first object, as well as the resident location information and broadband installation location information of a plurality of second objects. The first object is an object to be installed with broadband, and the second object is Objects with installed broadband;

a calculation module for calculating the distance between the resident position information of each second object and the resident position information of the first object;

An arrangement module, configured to arrange the second objects in order from near to far according to the distance to obtain a target sequence;

The acquisition module is also used to acquire the broadband installation position information of the second object corresponding to the first k distances in the target sequence, where k is a preset value;

A determination module configured to determine that among the broadband installation location information of the second object corresponding to the first k distances, the broadband installation location information with the largest amount is the target installation location information of the first object.

In one embodiment, the acquisition module is also used to acquire multiple location information obtained by locating the first object at a preset frequency, and the time spent at multiple locations;

The determining module is further configured to determine that among the plurality of position information, the position information that has stayed at the plurality of positions for the longest time and/or the most times is the resident position information of the first object.

In one embodiment, the information determining device further includes a filtering module;

The acquisition module is also used to acquire the address information of the broadband installation of multiple second objects, where the address information includes information of the first address sequence and information of the second address sequence;

A filtering module, configured to filter the information of the second address sequence in the address information through regular expressions;

The determining module is further configured to determine that the information of the first address sequence in the address information is broadband installation location information of a plurality of second objects.

In one embodiment, the information on the first address sequence includes information on the sequence of provinces, cities, districts, streets, administrative villages, and communities; the information on the second address sequence includes the information on the sequence of buildings, units, and floors. information.

In one implementation, the determination module is further configured to determine a distance less than a preset distance threshold after calculating the distance between the resident location information of each second object and the resident location information of the first object. Among the broadband installation location information corresponding to the second object, the broadband installation location information with the largest amount is the target installation location information.

In one implementation, the information determining device further includes a processing module and an output module;

The acquisition module is also used to acquire documents related to the address of the first object;

A processing module, used to perform word segmentation processing on the target installation location information to obtain multiple words after word segmentation;

The acquisition module is also configured to obtain the number of times the multiple words appear in the document based on the mapping relationship between the multiple words and the positions of the words in the document;

The output module is configured to output the target installation location information when the number of times exceeds a preset threshold.

In a third aspect, embodiments of the present application provide an electronic device, which includes: a processor and a memory storing computer program instructions;

When the processor executes the computer program instructions, the information determining method as described in any embodiment of the first aspect is implemented.

In the fourth aspect, embodiments of the present application provide a computer storage medium. Computer program instructions are stored on the computer storage medium. When the computer program instructions are executed by a processor, the information described in any embodiment of the first aspect is realized. Determine the method.

In a fifth aspect, embodiments of the present application provide a computer program product. When instructions in the computer program product are executed by a processor of an electronic device, the electronic device causes the electronic device to execute as in any embodiment of the first aspect. Described information determination method.

The information determination method, device, equipment and computer storage medium of the embodiments of the present application obtain the resident location information of the first object, as well as the resident location information and broadband installation location information of multiple second objects. The second object is the object that has installed broadband, so that the subsequent prediction of the broadband installation address of the object to be installed with broadband is facilitated. Then, calculate the distance between the resident position information of each second object and the resident position information of the first object, and arrange the second objects in order from near to far to obtain the target sequence, and then obtain the target sequence Among the broadband installation location information of the second object corresponding to the first k distances, where k is a preset value, it is determined that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is Target installation location information of the first object. In this way, the k-nearest neighbor classification algorithm can be used to match the broadband installation address of the object to be installed through the corresponding relationship between the broadband installation address of the object with broadband installed and the resident location, and the broadband installation address of the object to be installed with broadband, thereby improving the performance of the object. The accuracy of the matching results.

Description of the drawings

In order to explain the technical solutions of the embodiments of the present application more clearly, the drawings required to be used in the embodiments of the present application will be briefly introduced below. For those of ordinary skill in the art, without exerting creative efforts, they can also Additional drawings can be obtained from these drawings.

Figure 1 is a schematic flowchart of an information determination method provided by an embodiment of the present application;

Figure 2 is a schematic structural diagram of an information determination device provided by an embodiment of the present application;

Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

Features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described in further detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only intended to explain the application, but not to limit the application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations are mutually exclusive. any such actual relationship or sequence exists between them. Furthermore, the terms "comprises," "comprises," or any other variations thereof are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements, but also those not expressly listed other elements, or elements inherent to the process, method, article or equipment. Without further limitation, an element defined by the statement "comprising..." does not exclude the presence of additional identical elements in a process, method, article, or device that includes the stated element.

As mentioned in the background art, there are usually the following three solutions in the prior art to obtain the user's broadband coverage address. Option 1: Use the user's mobile phone number to obtain the customer's address through a questionnaire, and match the address obtained from the questionnaire with the broadband resource management system to obtain the corresponding relationship between the user's address and the broadband coverage address. Option 2: Match the address information registered by the user's mobile phone with the background broadband resource management system to obtain the corresponding relationship between the mobile phone number and the broadband coverage address. Option 3: Determine the user's home area through call base stations and mobile data usage base stations, and match the home area with the broadband coverage address stored in the background broadband resource management system to obtain the broadband coverage address corresponding to the user's home area. , in order to complete the broadband installation business.

However, the address in Scheme 1 is personal sensitive information, which often cannot be obtained due to the user's uncooperation and unwillingness to provide it. Moreover, there are often differences in individual address descriptions for the same geographical location, and there may be multiple expressions, such as "department store" Building", "No. XX Street, XX Road, XX City" and "New Hundred Building on XX Road" and other different expressions. In addition, based on personal information protection, it is not ruled out that users provide incorrect address information, so the information obtained is inaccurate. In the second option, the addresses registered on the network are more commonly used as certificate addresses, work addresses, temporary addresses, etc. The matching rate with the actual residential address is low, and there is basically no dynamic update. It is quite different from the actual residential address, and the accuracy of the identification results is poor. In Solution 3, the base station address granularity is too coarse. The coverage radius of the base stations in some towns and villages reaches several kilometers or even tens of kilometers, which does not match the fine granularity of the broadband address. For example, the regional address for positioning through the base station is X District-Y Property Building. , and the broadband address is District Establish the corresponding relationship between broadband addresses.

In order to solve the above problems, embodiments of the present application provide an information determination method, device, equipment and computer storage medium. The information determination method can obtain the resident location information of the first object and the resident location information of multiple second objects. For location information and broadband installation location information, the first object is the object to be installed with broadband, and the second object is the object that has installed broadband. This facilitates subsequent prediction of the broadband installation address of the object to be installed with broadband. Then, calculate the distance between the resident position information of each second object and the resident position information of the first object, and arrange the second objects in order from near to far to obtain the target sequence, and then obtain the target sequence Among the broadband installation location information of the second object corresponding to the first k distances, where k is a preset value, it is determined that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is Target installation location information of the first object. In this way, the k-nearest neighbor classification algorithm can be used to match the broadband installation address of the object to be installed through the corresponding relationship between the broadband installation address of the object with broadband installed and the resident location, and the broadband installation address of the object to be installed with broadband, thereby improving the performance of the object. The accuracy of the matching results. The information determination architecture provided by the embodiment of this application is first introduced below.

The information determination architecture proposed in the embodiment of this application may include a resident location calculation module, a known broadband coverage calculation module, a slice resident location and broadband coverage analysis module, a customer group broadband coverage calibration module, and a potential customer broadband standard address output module.

The resident position calculation module is used to calculate the resident position of objects to be installed with broadband and objects with installed broadband. The resident position can be obtained by positioning through mobile communication base station positioning technology. It can also use geometric triangulation based on distance measurement and angle measurement. The relationship calculates the resident position of the measured object.

The known broadband coverage calculation module is used to determine the broadband installation location of objects that have broadband installed through regular expressions. The standard broadband address format is: province, city, district, street (town, township, office), administrative village (street, road, lane), community, building (building, building, village group), unit, floor (room) Number). The broadband standard address format of objects with installed broadband is retained to the community level through regular expressions. Overly detailed addresses will become interference data for model calculations, which is not conducive to subsequent model predictions.

The slice resident position and broadband coverage analysis module is used to predict the broadband installation position of objects to be installed with broadband. The k-Nearest Neighbor (KNN) classification algorithm in the model can be used to calculate the resident position of objects with installed broadband. location and broadband installation locations.

The customer group broadband coverage calibration module is used to calibrate the model results using object and address related data documents, and uses word segmentation and full-text search technologies to match the broadband installation locations predicted above. If the match is successful, the broadband installation location can be considered is the most accurate.

The potential customer broadband standard address output module is used for automatic program scheduling and outputs the broadband installation location in the form of a file interface to various business subsystems for use.

Based on the above architecture, the information determination method provided by the embodiment of the present application will be described in detail below with reference to Figure 1 .

Figure 1 shows a schematic flowchart of an information determination method provided by an embodiment of the present application.

As shown in Figure 1, the information determination method may specifically include the following steps:

S110. Obtain the resident location information of the first object, as well as the resident location information and broadband installation location information of multiple second objects.

The first object may be an object for which broadband is to be installed, and the second object may be an object for which broadband has been installed. The resident location information may be the location information where the object stays for the longest time, or it may be the location information where the object is positioned the most times. The broadband installation location information may be the address of the broadband installation, for example, it may be in the broadband standard address format: province, city, district, street (town, township, office), administrative village (street, road, lane), community, building (building) , building number, villager group), unit, floor (room number).

S120: Calculate the distance between the resident location information of each second object and the resident location information of the first object.

The resident location information may be represented by coordinates of longitude and latitude, and the distance between the resident location information of the first object and the second object may be calculated using the Euclidean distance.

S130: Arrange the second objects in order of distance from near to far to obtain a target sequence.

As an example, it is calculated that the distance between the installed broadband user A and the resident location of the broadband user to be installed is 1 km, the distance between the installed broadband user B and the resident location of the broadband user to be installed is 500 meters, and the distance between the installed broadband user B and the resident location of the broadband user to be installed is 500 meters. The distance between user C and the permanent location of the broadband user to be installed is 800 meters, and the distance between the installed broadband user D and the permanent location of the broadband user to be installed is 600 meters. Arrange the installed broadband users in order of distance from near to far to obtain the sequence: user B, user D, user C, user A.

S140: Obtain the broadband installation position information of the second object corresponding to the first k distances in the target sequence, where k is a preset value.

Filter out the second objects corresponding to the first k distances in the target sequence, and then obtain the broadband installation location information of the second objects corresponding to the first k distances. The k value can be a value preset by the user based on needs and experience. The k value Can be changed according to the change in the number of second objects. For example, the selected k value is 3, and the order of the second object in the target sequence is object B, object D, object C, and object A. Then the object B, object D, and object corresponding to the first three distances in the target sequence are obtained. C, and then obtain the broadband installation location information of object B, object D and object C.

S150: Determine that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is the target installation location information of the first object.

Obtain k broadband installation location information of the second object corresponding to the first k distances in the target sequence. The target installation location information may be the broadband installation location information with the largest number among the k broadband installation location information. For example, the selected k value is 3, and the object B, object D, and object C corresponding to the first three distances in the target sequence are obtained. The broadband installation location information of object B, object D, and object C are a, b, and a respectively. , then the target installation location information of the first object is a with a larger number.

In some embodiments, based on the k-nearest neighbor classification algorithm in the preset model, the target of the first object is determined according to the resident location information of the first object, the resident location information of a plurality of second objects and the broadband installation location information. Installation location information.

The implementation process of the k-nearest neighbor classification algorithm is as follows: First, define the object to be installed with broadband as the data sample to be labeled x_test, and the object with installed broadband as the labeled data set x_train. Select the resident location (latitude and longitude) of the object as the feature x, and the broadband installation location as the label y. Then, traverse the samples in the labeled data set x_train, calculate the distance between each sample and the point to be labeled, and save the distance in the array d_array. Sort the d_array array and take the k closest points, recorded as x_knn. Next, count the number of each category (broadband installation location) in x_knn. The category of the sample to be labeled is the category with the largest number of samples in x_knn.

The k value can be selected using k-fold cross-validation and learning curve with cross-validation. For example, the original data (the second object's resident location information and broadband installation location information) are randomly divided into k parts, k-1 parts are selected as the training set each time, and the remaining 1 part is used as the test set. Cross-validation is repeated k times, and the average of the k times' accuracy is taken as the evaluation index of the final preset model. The division of the training set and the test set will interfere with the results of the model, so the mean calculated from the results of k times of cross-validation is a better measure of the model's effect. Cross-validation uses the test set to calculate the score. The data in the test set also affects the selection of parameters, which may cause the model to overfit the training data and test data. The learning curve with cross-validation can detect whether the model is overfitting. The role of the learning curve can be to observe the impact of the size of the data set on the model performance, and select points with high accuracy and relatively small variance in the learning curve. Such points can generalize. Ability is the strongest. Under the influence of "cross-validation + learning curve", the selected hyperparameters (k values) can ensure better generalization ability.

In the embodiment of the present application, by obtaining the resident location information of the first object, as well as the resident location information and broadband installation location information of multiple second objects, the first object is the object to be installed with broadband, and the second object is the installed broadband object. Broadband objects, in this way, facilitate subsequent prediction of the broadband installation address of the object to be installed with broadband. Then, calculate the distance between the resident position information of each second object and the resident position information of the first object, and arrange the second objects in order from near to far to obtain the target sequence, and then obtain the target sequence Among the broadband installation location information of the second object corresponding to the first k distances, where k is a preset value, it is determined that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is Target installation location information. In this way, the k-nearest neighbor classification algorithm can be used to match the broadband installation address of the object to be installed through the corresponding relationship between the broadband installation address of the object with broadband installed and the resident location, and the broadband installation address of the object to be installed with broadband, thereby improving the performance of the object. The accuracy of the matching results.

In some embodiments, S110: Obtain the resident location information of the first object, which may specifically include:

Obtain multiple location information obtained by locating the first object at a preset frequency, and the time spent at multiple locations;

It is determined that among the plurality of position information, the position information that stays at the plurality of positions for the longest time and/or the most times is the resident position information of the first object.

The first object is positioned at a preset frequency to obtain a plurality of location information. The preset frequency may be a frequency preset by the user. For example, the first object is positioned at a frequency of once an hour to obtain a plurality of location information. , and get the time spent at multiple locations. The permanent location information of the first object may be the location information with the largest number of times among the multiple location information, or the location information with the longest stay time at multiple locations among the multiple location information, or it may be the location information with the most times among the multiple location information. And the location information that stayed the longest in multiple locations. In addition, the resident location information of the second object is determined in the same manner as the resident location information of the first object.

In some embodiments, it is determined that among the plurality of location information, the location information that stays at multiple locations for the longest time and/or the most times within the preset time period is the resident location information of the first object.

The preset time period may be a night time period preset by the user.

As an example, within a period of time, users with installed broadband and to-be-installed broadband are positioned once an hour, multiple location information is obtained, and the resident location with the largest number and longest duration during the day is selected. , as well as the most numerous and longest resident locations during the night time period. The permanent location during the day time period is considered to be the work place, the permanent location during the night time period is considered to be the residence, and the permanent location (residence) during the night time period is regarded as the user's final permanent location.

In the embodiment of the present application, multiple location information obtained by locating the first object at a preset frequency and the time spent at the multiple locations are obtained, and it is determined that among the multiple location information, the longest time spent at the multiple locations is And/or the location information with the largest number of times is the resident location information of the first object. In this way, accurate resident location information of the first object can be obtained to facilitate subsequent matching of the broadband installation location.

In some embodiments, S110: Obtain broadband installation location information of multiple second objects, which may specifically include:

Obtain the address information of the broadband installation of multiple second objects. The address information may include information of the first address sequence and information of the second address sequence;

Filter the information of the second address sequence in the address information through regular expressions;

The information of the first address sequence in the address information is determined to be broadband installation location information of a plurality of second objects.

The first address sequence and the second address sequence may be any sequence of addresses of the broadband installation of the second object. For example, the address information of the broadband installation of the second object may include province, city, district, street (town, township, office), administrative village (street, road, lane), community, building (building, building number, villager Group), unit, floor (room number) information, the information of the first address sequence may include information of province, city, district, street (town, township, office), administrative village (street, road, lane), community , the information of the second address sequence may include information of the building (building, building number, villager group), unit, and floor (room number). The information of the first address sequence is obtained from the string of address information of the broadband installation of the second object through a regular expression, and the information of the second address sequence is filtered, that is, the address of the broadband installation is retained at the community level.

In some embodiments, the information on the first address sequence may include information on the sequence of provinces, cities, districts, streets, administrative villages, and communities; the information on the second address sequence may include information on the sequence of buildings, units, and floors.

As an example, the address of a certain installed broadband is "XX administrative village XX administrative village XX community XX building XX unit X floor", and the string "XX province XX city XX street XX" is changed using a regular expression. Filter "XX Building X Unit X Floor" in "XX Building Make a match.

In the embodiment of the present application, by obtaining the address information of the broadband installation of multiple second objects, the address information may include information of the first address sequence and information of the second address sequence, and the second address in the address information is filtered through a regular expression. sequence information, and further determines that the information of the first address sequence in the address information is the broadband installation location information of a plurality of second objects. In this way, interference data from overly detailed information such as floors can be filtered out, and the accuracy of matching the broadband installation location with the permanent location can be improved.

In some embodiments, after S120: calculating the distance between the resident location information of each second object and the resident location information of the first object, the information determining method may further include:

It is determined that among the broadband installation location information of the second object corresponding to a distance smaller than the preset distance threshold, the largest number of broadband installation location information is the target installation location information.

The preset distance threshold can be a distance preset by the user. In addition to determining that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is the target installation location information of the first object, it can also be determined Among the broadband installation location information of the second object corresponding to a distance smaller than the preset distance threshold, the largest number of broadband installation location information is the target installation location information.

As an example, when the data distribution of the broadband installation locations of users who have already installed broadband is uneven, for example, the distances between installed broadband users A, B, C, D, and E and the resident locations of the broadband users to be installed are 500 respectively. meters, 600 meters, 800 meters, 50,000 meters and 80,000 meters. If the k nearest neighbor classification algorithm is used to obtain the first k distances, and k is 4, then the distance between user D’s resident location and users A, B, and C At this time, the broadband installation locations of users A, B, and C corresponding to a distance less than the preset distance threshold of 1 km are obtained, and then the location with the largest number of broadband installation locations of users A, B, and C is determined to be the broadband to be installed User's broadband installation location information can achieve better results.

In the embodiment of the present application, by determining the broadband installation location information of the second object corresponding to a distance smaller than the preset distance threshold, the broadband installation location information with the largest number is the target installation location information, and the broadband installation location of the user who has installed broadband can be determined. When the location data is unevenly distributed, the accuracy of determining the target installation location information is improved.

In some embodiments, the information determining method may also include:

Obtain the address-related document of the first object;

Perform word segmentation processing on the target installation location information to obtain multiple words after word segmentation;

According to the mapping relationship between multiple words and the word's position in the document, obtain the number of times multiple words appear in the document;

When the number of times exceeds the preset threshold, the target installation location information is output.

The address-related document of the first object may be, for example, the first object's ID address, group & family cluster network information, group relationship, family relationship and other address-related data documents. The target installation location information is segmented through a word segmenter to obtain multiple words. The word segmenter can be an IK word segmenter. The IK word segmenter uses a unique "forward iterative finest-grained segmentation algorithm" and adopts a multi-subprocessor analysis mode. , supports word segmentation processing of English letters, numbers, Chinese vocabulary (names, place names), etc. The word segmentation calculation process includes loading dictionary, preprocessing, word segmentation, ambiguity processing and sorting output.

The mapping relationship between multiple words and the word's position in the document can be established and stored using an inverted index to facilitate full-text retrieval and obtain the number of times multiple words appear in the document. Full-text retrieval means that the computer indexing program scans each word in the document and builds an index for each word, indicating the number and location of the word in the article. When the user queries, the retrieval program will proceed based on the pre-established index. Search method and feed the search results back to the user. When the number of times exceeds a preset threshold, the target installation location information is output. The preset threshold may be a threshold preset by the user.

As an example, after predicting the installation locations of users to be installed with broadband, the predicted results may be different when the hyperparameter k is selected with different values. Therefore, the predicted broadband installation locations need to be calibrated. First, perform word segmentation processing on the predicted installation locations of users who want to install broadband, and obtain multiple words after word segmentation. Through the full-text search engine toolkit Lucene, an inverted index is used to store the relationship between the word and its position in the document. of mapping. Through the inverted index, you can quickly obtain a list of documents containing a word based on the word, thereby obtaining the number of times the word appears in the document. If the number of occurrences of each word in the document exceeds the preset threshold, the predicted broadband installation location of the user to be installed is considered to be the most accurate, and the installation location is output to each business subsystem for use.

In the embodiment of the present application, by obtaining the address-related document of the first object and performing word segmentation processing on the target installation location information, multiple words after word segmentation are obtained, and then the relationship between the multiple words and the position of the word in the document is obtained. Mapping relationship, obtain the number of times multiple words appear in the document, and then, when the number exceeds the preset threshold, output the target installation location information. In this way, other data documents of the second object can be used to calibrate the matching results to improve the accuracy of the output results.

FIG. 2 is a schematic structural diagram of an information determining device 200 according to an exemplary embodiment.

As shown in Figure 2, the information determining device 200 may include:

The acquisition module 201 is used to obtain the resident location information of the first object, as well as the resident location information and broadband installation location information of a plurality of second objects. The first object is the object to be installed with broadband, and the second object is the installed broadband. Object;

The calculation module 202 is used to calculate the distance between the resident position information of each second object and the resident position information of the first object;

The arrangement module 203 is used to arrange the second objects in the order of distance from near to far to obtain the target sequence;

The acquisition module 201 is also used to acquire the broadband installation position information of the second object corresponding to the first k distances in the target sequence, where k is a preset value;

The determination module 204 is used to determine that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is the target installation location information.

In one implementation, the acquisition module 201 is also used to acquire multiple location information obtained by locating the first object at a preset frequency, as well as the time spent at multiple locations;

The determination module 204 is also configured to determine, among the plurality of position information, the position information that has stayed at the plurality of positions for the longest time and/or the most times as the resident position information of the first object.

In one implementation, the information determining device 200 may also include a filtering module;

The acquisition module 201 is also used to acquire the address information of the broadband installation of multiple second objects. The address information includes the information of the first address sequence and the information of the second address sequence;

A filtering module used to filter the information of the second address sequence in the address information through regular expressions;

The determining module 204 is also configured to determine that the information of the first address sequence in the address information is the broadband installation location information of the plurality of second objects.

In one implementation, the information on the first address sequence includes information on the sequence of provinces, cities, districts, streets, administrative villages, and communities; the information on the second address sequence includes information on the sequence of buildings, units, and floors.

In one implementation, the determination module 204 is further configured to determine, after calculating the distance between the resident location information of each second object and the resident location information of the first object, the third location corresponding to the distance less than the preset distance threshold. Among the broadband installation location information of the two objects, the broadband installation location information with the largest amount is the target installation location information.

In one implementation, the information determining device 200 may also include a processing module and an output module;

The acquisition module 201 is also used to acquire the address-related documents of the first object;

The processing module is used to segment the target installation location information and obtain multiple words after segmentation;

The acquisition module 201 is also used to obtain the number of times multiple words appear in the document based on the mapping relationship between the multiple words and the position of the word in the document;

The output module is used to output the target installation location information when the number of times exceeds the preset threshold.

Thus, by obtaining the resident location information of the first object, as well as the resident location information and broadband installation location information of a plurality of second objects, the first object is the object to be installed with broadband, and the second object is the object with broadband installed. , in this way, it is convenient to predict the broadband installation address of the object to be installed with broadband. Then, calculate the distance between the resident position information of each second object and the resident position information of the first object, and arrange the second objects in order from near to far to obtain the target sequence, and then obtain the target sequence Among the broadband installation location information of the second object corresponding to the first k distances, where k is a preset value, it is determined that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is Target installation location information. In this way, the k-nearest neighbor classification algorithm can be used to match the broadband installation address of the object to be installed through the corresponding relationship between the broadband installation address of the object with broadband installed and the resident location, and the broadband installation address of the object to be installed with broadband, thereby improving the performance of the object. The accuracy of the matching results.

Figure 3 shows a schematic diagram of the electronic hardware structure provided by the embodiment of the present application.

The electronic device may include a processor 301 and a memory 302 storing computer program instructions.

Specifically, the above-mentioned processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more integrated circuits according to the embodiments of the present application.

Memory 302 may include bulk storage for data or instructions. By way of example and not limitation, the memory 302 may include a Hard Disk Drive (HDD), a floppy disk drive, flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a Universal Serial Bus (USB) drive or two or more A combination of many of the above. Memory 302 may include removable or non-removable (or fixed) media, where appropriate. Where appropriate, the memory 302 may be internal or external to the integrated gateway disaster recovery device. In certain embodiments, memory 302 is non-volatile solid-state memory.

Memory may include read only memory (ROM), random access memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical or other physical/tangible memory storage devices. Thus, generally, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or multiple processors) operable to perform the operations described with reference to a method according to an aspect of the present disclosure.

The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any of the information determination methods in the above embodiments.

In one example, the electronic device may also include a communication interface 303 and a bus 310. Among them, as shown in Figure 3, the processor 301, the memory 302, and the communication interface 303 are connected through the bus 310 and complete communication with each other.

The communication interface 303 is mainly used to implement communication between modules, devices, units and/or equipment in the embodiments of this application.

Bus 310 includes hardware, software, or both, coupling the components of the information-determining device to one another. By way of example, and not limitation, the bus may include Accelerated Graphics Port (AGP) or other graphics bus, Enhanced Industry Standard Architecture (EISA) bus, Front Side Bus (FSB), HyperTransport (HT) interconnect, Industry Standard Architecture (ISA) Bus, Infinite Bandwidth Interconnect, Low Pin Count (LPC) Bus, Memory Bus, Micro Channel Architecture (MCA) Bus, Peripheral Component Interconnect (PCI) Bus, PCI-Express (PCI-X) Bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association Local (VLB) bus or other suitable bus or a combination of two or more of these. Where appropriate, bus 310 may include one or more buses. Although the embodiments of this application describe and illustrate a specific bus, this application contemplates any suitable bus or interconnection.

The electronic device can perform the information determination method in the embodiment of the present application based on obtaining the resident location information of the first object, as well as the resident location information and broadband installation location information of multiple second objects, thereby realizing the information described in conjunction with Figure 1 Determine the method.

In addition, combined with the information determination method in the above embodiment, the embodiment of the present application can be implemented by providing a computer storage medium. The computer storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any one of the information determination methods in the above embodiments is implemented.

To be clear, this application is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications and additions, or change the order between steps after understanding the spirit of the present application.

The functional blocks shown in the above structural block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, or the like. When implemented in software, elements of the application are programs or code segments that are used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted over a transmission medium or communications link via a data signal carried in a carrier wave. "Machine-readable medium" may include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like. Code segments may be downloaded via computer networks such as the Internet, intranets, and the like.

It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps. That is to say, the steps may be performed in the order mentioned in the embodiment, or may be different from the order in the embodiment, or several steps may be performed simultaneously.

Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine such that execution of the instructions via the processor of the computer or other programmable data processing apparatus enables Implementation of the functions/actions specified in one or more blocks of a flowchart and/or block diagram. Such a processor may be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It will also be understood that each block in the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can also be implemented by special purpose hardware that performs the specified functions or actions, or can be implemented by special purpose hardware and A combination of computer instructions.

The above are only specific implementation modes of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the above-described systems, modules and units can be referred to the foregoing method embodiments. The corresponding process will not be described again here. It should be understood that the protection scope of the present application is not limited thereto. Any person familiar with the technical field can easily think of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and these modifications or substitutions should be covered. within the protection scope of this application.

Claims (10)

1. An information determination method, characterized by including: Obtain the resident location information of the first object, and the resident location information and broadband installation location information of a plurality of second objects. The first object is the object to be installed with broadband, and the second object is the object that has installed broadband. ; Calculate the distance between the resident position information of each second object and the resident position information of the first object; Arrange the second objects in order from near to far to obtain a target sequence; Obtain the broadband installation position information of the second object corresponding to the first k distances in the target sequence, where k is a preset value; It is determined that among the broadband installation location information of the second object corresponding to the first k distances, the largest number of broadband installation location information is the target installation location information of the first object. 2. The method according to claim 1, characterized in that obtaining the resident location information of the first object includes: Obtain multiple location information obtained by locating the first object at a preset frequency, and the time spent at multiple locations; It is determined that among the plurality of position information, the position information that stays at the plurality of positions for the longest time and/or the most times is the resident position information of the first object. 3. The method according to claim 1, characterized in that obtaining broadband installation location information of multiple second objects includes: Obtain address information of broadband installations of multiple second objects, where the address information includes information of a first address sequence and information of a second address sequence; Filter the information of the second address sequence in the address information through a regular expression; It is determined that the information of the first address sequence in the address information is broadband installation location information of a plurality of second objects. 4. The method according to claim 3, characterized in that the information of the first address sequence includes information of the sequence of province, city, district, street, administrative village, and community; the information of the second address sequence includes Building, unit and floor sequence information. 5. The method of claim 1, wherein after calculating the distance between the resident location information of each second object and the resident location information of the first object, the method further includes: It is determined that among the broadband installation location information of the second object corresponding to a distance smaller than the preset distance threshold, the largest number of broadband installation location information is the target installation location information. 6. The method according to claim 1, characterized in that, the method further comprises: Obtain address-related documents of the first object; Perform word segmentation processing on the target installation location information to obtain multiple words after word segmentation; According to the mapping relationship between the multiple words and the position of the word in the document, obtain the number of times the multiple words appear in the document; If the number of times exceeds the preset threshold, the target installation location information is output. 7. An information determination device, characterized in that the device includes: An acquisition module is used to obtain the resident location information of a first object, as well as the resident location information and broadband installation location information of a plurality of second objects. The first object is an object to be installed with broadband, and the second object is Objects with installed broadband; a calculation module for calculating the distance between the resident position information of each second object and the resident position information of the first object; An arrangement module, configured to arrange the second objects in order from near to far according to the distance to obtain a target sequence; The acquisition module is also used to acquire the broadband installation position information of the second object corresponding to the first k distances in the target sequence, where k is a preset value; A determination module configured to determine that among the broadband installation location information of the second object corresponding to the first k distances, the broadband installation location information with the largest amount is the target installation location information of the first object. 8. An electronic device, characterized in that the device includes: a processor, and a memory storing computer program instructions; the processor reads and executes the computer program instructions to implement claims 1-6 Any of the information determination methods described above. 9. A computer storage medium, characterized in that computer program instructions are stored on the computer storage medium, and when the computer program instructions are executed by a processor, the information determination method according to any one of claims 1-6 is implemented. . 10. A computer program product, characterized in that, when the instructions in the computer program product are executed by a processor of an electronic device, the electronic device causes the electronic device to execute the information determination method according to any one of claims 1-6. .