CN113569149B

CN113569149B - Information processing method and device and electronic equipment

Info

Publication number: CN113569149B
Application number: CN202110875735.9A
Authority: CN
Inventors: 刘小杰; 温家琦
Original assignee: Rajax Network Technology Co Ltd
Current assignee: Rajax Network Technology Co Ltd
Priority date: 2021-07-30
Filing date: 2021-07-30
Publication date: 2024-01-19
Anticipated expiration: 2041-07-30
Also published as: CN113569149A

Abstract

The embodiment of the application provides an information processing method, an information processing device, electronic equipment and a computer storage medium, wherein the method comprises the following steps: determining a target position selected by a user on a current display map; obtaining target text information input by a user and used for determining a target address, and determining a target position according to the target text information; recall a plurality of candidate points of interest based on the target location; and obtaining ordering information of the plurality of candidate points of interest according to attribute information of each candidate point of interest in the plurality of candidate points of interest, wherein the attribute information comprises at least one of usage type information of the candidate points of interest, the number of child points of interest of the candidate points of interest and the number of father points of interest of the candidate points of interest. The method is more accurate and reasonable based on the ranking information of a plurality of candidate points of interest, which is obtained by at least one attribute information of the type information of the purpose of the candidate points of interest, the number of sub points of the candidate points of interest and the number of father points of the candidate points of interest.

Description

Information processing method and device and electronic equipment

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to an information processing method, an information processing apparatus, an electronic device, and a computer storage medium.

Background

With the rapid development of technology and the continuous improvement of modern life quality, people's shopping mode is becoming more and more convenient. Sometimes the goods or items may be purchased online without going out. Specifically, the user may pre-fill in the shipping address to ensure that the shipping personnel can deliver the merchandise or items purchased by the user to the user's hand according to the shipping address.

When a user fills in a receiving address, the filled receiving address can be divided into two parts in order to be convenient for distribution personnel to distribute and also to be convenient for the user to fill in the address. The first part of users can directly show some interest points to the users by means of stamping points on a map or inputting keywords, and the users can select the interest points to input the first part of the receiving address. The other part is that: the second portion of the shipping address is entered by the user manually entering text. When the user fills in the receiving address, if the interest points are selected to be proper, the distribution personnel can conveniently distribute the interest points. Therefore, how to accurately recommend some ordered interest points to the user for the user to select when inputting the receiving address becomes a problem that needs to be solved in the current process of filling the receiving address.

Disclosure of Invention

The embodiment of the application provides an information processing method to solve the problem of how to accurately recommend some ordered interest points to a user for the user to select when a receiving address is input. Meanwhile, the embodiment of the application provides an information processing device, electronic equipment and a computer storage medium corresponding to the information processing method.

The embodiment of the application provides an information processing method, which comprises the following steps: determining a target position selected by a user on a current display map; the target text information which is input by the user and used for determining the target address is obtained, and the target position is determined according to the target text information; recall a plurality of candidate points of interest based on the target location; and obtaining ordering information of the plurality of candidate interest points according to attribute information of each candidate interest point in the plurality of candidate interest points, wherein the attribute information comprises at least one of purpose type information of the candidate interest points, the number of child interest points of the candidate interest points and the number of father interest points of the candidate interest points.

Optionally, the obtaining the ranking information of the candidate points of interest according to the attribute information of each candidate point of interest in the candidate points of interest includes: according to the attribute information of each candidate interest point in the candidate interest points, probability information of whether the target interest point selected by the user can be obtained, which corresponds to each candidate interest point in the candidate interest points; and obtaining ordering information of the candidate interest points based on the probability information.

Optionally, the obtaining, according to attribute information of each candidate point of interest in the plurality of candidate points of interest, probability information of whether each candidate point of interest in the plurality of candidate points of interest corresponds to a target point of interest selected by the user, includes: and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by the user can be the corresponding candidate interest point in the plurality of candidate interest points.

Optionally, the method further comprises: determining a target interest point selected by the user from the plurality of candidate interest points; and training the target interest point probability information acquisition model by taking the user characteristic information corresponding to the target interest point and the user as a training sample to obtain an updated target interest point probability information acquisition model.

Optionally, the obtaining ranking information of the candidate points of interest based on the probability information includes: based on the probability information, obtaining initial ranking information of the candidate interest points; and re-ordering the initially ordered candidate interest points based on a preset ordering strategy to obtain re-ordering information of the candidate interest points.

Optionally, the re-ranking the plurality of candidate interest points that are initially ranked based on a preset ranking policy includes: and re-ordering the initially ordered candidate interest points based on the preset black-and-white list interest points.

Optionally, inputting attribute information of each candidate point of interest in the plurality of candidate points of interest into a target point of interest probability information obtaining model, to obtain probability information of whether each candidate point of interest can become a target point of interest selected by the user, where the probability information is corresponding to each candidate point of interest in the plurality of candidate points of interest, includes: obtaining first ordering information of the number of child points of interest of each candidate point of interest in the number of child points of interest of the plurality of candidate points of interest and second ordering information of the number of parent points of interest of each candidate point of interest in the number of parent points of interest of the plurality of candidate points of interest; inputting at least one of the first ranking information, the second ranking information and the usage type information of each candidate interest point in the plurality of candidate interest points into a target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by the user can be the corresponding candidate interest point in the plurality of candidate interest points.

Optionally, the attribute information further includes a distance between the location of the candidate interest point and the target location, and a frequency with which the candidate interest point is selected.

Optionally, inputting attribute information of each candidate point of interest in the plurality of candidate points of interest into a target point of interest probability information obtaining model, to obtain probability information of whether each candidate point of interest can become a target point of interest selected by the user, where the probability information is corresponding to each candidate point of interest in the plurality of candidate points of interest, includes: obtaining third ordering information of the distance between the position of each candidate interest point and the target position in the distance between the positions of the candidate interest points and the target position and fourth ordering information of the frequency of the selected candidate interest points in the frequency of the selected candidate interest points; inputting at least one of the usage type information of the candidate interest points, the number of sub-interest points of the candidate interest points, the number of father interest points of the candidate interest points, the third ordering information and the fourth ordering information into a target interest point probability information obtaining model to obtain probability information of whether each candidate interest point in the plurality of candidate interest points can be a target interest point selected by the user.

Optionally, the obtaining the ranking information of the candidate points of interest according to the attribute information of each candidate point of interest in the candidate points of interest includes: according to the attribute information of each candidate interest point in the candidate interest points, obtaining evaluation score information of whether the target interest point selected by the user can be the target interest point corresponding to each candidate interest point in the candidate interest points; and obtaining ordering information of the candidate interest points based on the evaluation score information.

Optionally, the obtaining, according to attribute information of each candidate point of interest in the plurality of candidate points of interest, evaluation score information of whether each candidate point of interest in the plurality of candidate points of interest corresponds to a target point of interest selected by the user, includes: and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point evaluation score information obtaining model to obtain evaluation score information of whether the target interest point selected by the user can be obtained corresponding to each candidate interest point in the plurality of candidate interest points.

Optionally, the obtaining ranking information of the candidate points of interest based on the evaluation score information includes: and taking the interest point with the highest evaluation score in the candidate interest points as the interest point which is recommended to the user and ranked first.

Optionally, the method further comprises: obtaining ordering information of other candidate points of interest except the point of interest ordered first in the plurality of candidate points of interest; and obtaining the ordering information of the candidate points of interest based on the ordering information of the other candidate points of interest.

Optionally, the obtaining ranking information of the candidate points of interest other than the first-ranked point of interest in the plurality of candidate points of interest includes: obtaining text similarity between descriptive information corresponding to other candidate interest points except the interest point ranked at the first position in the candidate interest points and target text information input by the user and used for determining a target address; and sorting the other candidate interest points based on the text similarity, and obtaining sorting information of the other candidate interest points.

Optionally, the target interest point is an interest point for obtaining a receiving address corresponding to the delivered item.

Correspondingly, an embodiment of the present application provides an information processing apparatus, including: the target position determining unit is used for determining a target position selected by a user on the current display map; the target text information which is input by the user and used for determining the target address is obtained, and the target position is determined according to the target text information; a recall unit for recalling a plurality of candidate interest points based on the target location; a ranking information obtaining unit, configured to obtain ranking information of the plurality of candidate points of interest according to attribute information of each candidate point of interest in the plurality of candidate points of interest, where the attribute information includes at least one of usage type information of the candidate point of interest, a number of child points of interest of the candidate point of interest, and a number of parent points of interest of the candidate point of interest.

Correspondingly, the embodiment of the application provides electronic equipment, which comprises: a processor; and a memory for storing a computer program that is executed by the processor to execute the information processing method.

Accordingly, embodiments of the present application provide a computer storage medium storing a computer program that is executed by a processor to perform the above-described information processing method.

Compared with the prior art, the embodiment of the application has the following advantages:

the embodiment of the application provides an information processing method, which comprises the following steps: determining a target position selected by a user on a current display map; the target text information which is input by the user and used for determining the target address is obtained, and the target position is determined according to the target text information; recall a plurality of candidate points of interest based on the target location; and obtaining ordering information of the plurality of candidate interest points according to attribute information of each candidate interest point in the plurality of candidate interest points, wherein the attribute information comprises at least one of purpose type information of the candidate interest points, the number of child interest points of the candidate interest points and the number of father interest points of the candidate interest points. Since in the present embodiment, the ranking information of the plurality of candidate points of interest is obtained based on at least one attribute information of the usage type information of the candidate points of interest, the number of child points of the candidate points of interest, and the number of parent points of the candidate points of interest. This way, the target position selected by the user on the current display map is determined at the same time; and obtaining target text information input by a user and used for determining a target address, and determining a target position according to the target text information, so that the obtained ordering information of the candidate interest points has higher accuracy and rationality, the target interest points selected by the user based on the ordering information of the candidate interest points in the subsequent process can be more matched with the receiving address, and the distribution personnel can conveniently distribute based on the delivery address.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description will briefly introduce the drawings that are required to be used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may also be obtained according to these drawings for a person having ordinary skill in the art.

Fig. 1 is a first schematic diagram of an application scenario of an information processing method provided in the present application;

fig. 2 is a second schematic diagram of an application scenario of the information processing method provided in the present application;

fig. 3 is a third schematic diagram of an application scenario of the information processing method provided in the present application;

fig. 4 is a flowchart of an information processing method provided in the first embodiment of the present application;

fig. 5 is a schematic diagram of an information processing apparatus according to a second embodiment of the present application;

fig. 6 is a schematic diagram of an electronic device according to a third embodiment of 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, therefore, the application is not limited to the specific embodiments disclosed below.

The application provides an information processing method, and some embodiments of the information processing method provided by the application can be applied to recommending a candidate interest point list to a user when the user needs to fill in receiving address information in a scene of purchasing goods or dining articles, so that the user can select a certain interest point as a part of receiving addresses.

In practice, after the user selects a certain point of interest in the recommended candidate point of interest list, the selected point of interest is referred to as a target point of interest. The text information corresponding to the target point of interest becomes a first portion of the shipping address information, and the user then fills in the more detailed address information as a second portion of the shipping address information.

For example, when the shipping address information is a city B, road D-cell 15 a 3, layer 301, the D-cell may be a point of interest. Thus, when the user fills in the shipping address, the D-cell may be selected as the first part of the shipping address, and then fill in more detailed address information: 15 m 3 layer 301 room as the second part of the shipping address. The two parts together form the receiving address.

Of course, the D-cell 15 may also be a point of interest. Thus, when the user fills in the shipping address, the D-cell 15 can be selected as the first part of the shipping address, then fill in more detailed address information: layer 3 301 chamber serves as the second portion of the shipping address.

When a receiving address is newly added or changed, a user can obtain a candidate interest point list to select an interest point in two ways, namely, obtaining the candidate interest point list by stamping points on a displayed map, and obtaining the candidate interest point list by inputting keywords in a search box. In the present application, it may be considered to determine the target position selected by the user on the current presentation map at the same time, that is: a way of stamping points on the displayed map; and obtaining target text information input by a user and used for determining a target address, and determining a target position according to the target text information, namely: the manner in which keywords are entered within the search box.

The above-mentioned manner of stamping points or the manner of inputting keywords is to obtain a position, namely: target locations to recall a plurality of candidate points of interest that need to be ranked based on the target locations. After recalling the candidate interest points to be ranked, ranking the candidate interest points based on attribute information of the candidate interest points, further obtaining ranking information of the candidate interest points, and finally obtaining a candidate interest point list.

In practice, the points that the user stamps in the map or the keywords that are entered are both for the purpose of selecting a target location that is visible to the user. The target position objectively has geographic longitude and latitude, a plurality of candidate interest points can be recalled based on the geographic longitude and latitude information corresponding to the target position, and then the candidate interest points are ordered, so that the candidate interest point list can be obtained.

As shown in fig. 1, which is a first schematic diagram of an application scenario of the information processing method provided in the present application, by clicking "select detailed address" in the page shown in fig. 1, the page is switched to the page shown in fig. 2. Fig. 2 is a second schematic diagram of an application scenario of the information processing method provided in the present application.

The candidate points of interest list can be obtained by performing point stamping on the map in the page shown in fig. 2, and if the suitable point cannot be found on the map finally, that is, the suitable point cannot be found as the target position, keywords can be input in the search box of "please input address" to retrieve another candidate points of interest list. Of course, the candidate point of interest list obtained for the first time may not be the same as the candidate point of interest list obtained for the second time.

Of course, regardless of the way of stamping or inputting the keyword, after the page shown in fig. 2 is stamped or the keyword is input, the page is switched to the page shown in fig. 3, and fig. 3 is a third schematic diagram of an application scenario of the information processing method provided in the present application. The page shown in fig. 3 will show a candidate point of interest list for the user to select a certain point of interest as the target point of interest. It will be appreciated that, in this embodiment, both the manner of stamping and entering keywords is to obtain a candidate point of interest list to edit the shipping address information.

The information processing method is used for obtaining a more accurate and reasonable candidate interest point list and displaying the candidate interest point list in a page shown in fig. 3, so that when a user selects a target interest point with the top ranking in the candidate interest point list, the position of the target interest point is more matched with a receiving address.

Specifically, when obtaining the candidate point of interest list, it is necessary to obtain the ranking information of the plurality of candidate points of interest, and the manner of obtaining the ranking information of the plurality of candidate points of interest is mainly by the following two manners.

The first way to obtain ranking information for a plurality of candidate points of interest is: when the user selects the target position in a point stamping mode, the position of the point selected by the user aiming at the current display map is taken as the target position. And recalling the candidate interest points to be recommended based on the target positions. For example, when the user's point of interest is a point corresponding to an E-building, the plurality of candidate points of interest recalled may be an E-building, an E-building east region, an E-building west region, an E-building east region 3 floors, an E-building south door, and the like.

After obtaining the plurality of candidate points of interest to be recommended, the plurality of candidate points of interest need to be ranked. The plurality of candidate points of interest may be ranked to obtain ranking information for the plurality of candidate points of interest in the following manner.

Specifically, ranking information of the plurality of candidate points of interest may be obtained from attribute information of each of the plurality of candidate points of interest. More specifically, obtaining ranking information of the plurality of candidate points of interest according to attribute information of each candidate point of interest in the plurality of candidate points of interest may refer to: firstly, according to attribute information of each candidate interest point in a plurality of candidate interest points, probability information of whether the target interest point selected by a user can be obtained, wherein the probability information corresponds to each candidate interest point in the plurality of candidate interest points; then, the candidate points of interest are ranked based on the probability information, namely: ordering information of a plurality of candidate points of interest is obtained.

In the present application, the probability information may be replaced by the confidence information, or may be replaced by the evaluation score information, or may be replaced by other result information for indicating the likelihood that the candidate point of interest can be the target point of interest selected by the user. The probability information is used for indicating the possibility that the candidate interest point becomes the target interest point.

The obtaining the ranking information of the plurality of candidate points of interest based on the probability information may refer to: and according to the probability that each candidate interest point becomes the target interest point, sequencing the candidate interest points which are likely to become the target interest points according to the probability from large to small, and further obtaining a candidate interest point sequencing list.

Specifically, when obtaining probability information of whether each candidate point of interest can become a target point of interest selected by a user according to attribute information of each candidate point of interest in the plurality of candidate points of interest, the following method is adopted: and taking the attribute information of each candidate interest point in the plurality of candidate interest points as input information of a target interest point probability information obtaining model, and inputting the input information into the target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by a user can be the target interest point corresponding to each candidate interest point in the plurality of candidate interest points.

The input attribute information includes: at least one of usage type information of the candidate points of interest, the number of points of interest of the candidate points of interest, and the number of parent points of interest of the candidate points of interest. The usage type information of the candidate points of interest may be usage type information such as office buildings, residential homes, malls, and the like. The number of child points of interest of the candidate points of interest may refer to the number of child candidate points of interest of the candidate points of interest, and the number of parent points of interest of the candidate points of interest may refer to the number of parent candidate points of interest of the candidate points of interest. For example, an E-building is a parent point of interest in the eastern region of the E-building, and both the E-building and the eastern region of the E-building are points of interest in a plurality of candidate points of interest.

Specifically, in order to facilitate data processing, after the attribute information of each candidate point of interest is obtained, at least one of first ranking information of the number of sub-points of interest of each candidate point of interest in the number of sub-points of interest of a plurality of candidate points of interest, second ranking information of the number of parent points of interest of each candidate point of interest in the number of parent points of interest of a plurality of candidate points of interest, and usage type information of each candidate point of interest is obtained.

Further, the attribute information of each candidate interest point in the plurality of candidate interest points is used as input information of the target interest point probability information obtaining model, and is input into the target interest point probability information obtaining model, so as to obtain probability information of whether the target interest point selected by the user can be obtained, wherein the probability information corresponds to each candidate interest point in the plurality of candidate interest points and can be referred to as: and taking at least one of the first ordering information, the second ordering information and the purpose type information of each candidate interest point as input information of a target interest point probability information obtaining model, and inputting the input information into the target interest point probability information obtaining model to obtain probability information of whether each candidate interest point in the plurality of candidate interest points corresponds to the target interest point selected by a user or not.

Of course, the target point of interest probability information obtaining model is a model for obtaining probability information of whether or not the target point of interest selected by the user can be made corresponding to the candidate point of interest based on the attribute information of the candidate point of interest. When the confidence information is adopted to replace the probability information, the adopted corresponding model is the target interest point confidence information obtaining model.

The attribute information further includes a distance between the candidate interest point and the target position, and a frequency at which the candidate interest point is selected. Therefore, the attribute information of each candidate interest point in the plurality of candidate interest points is used as the input information of the target interest point probability information obtaining model, and is input into the target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by the user can be obtained corresponding to each candidate interest point in the plurality of candidate interest points, and the probability information can also be: the method comprises the steps of taking usage type information of candidate points of interest, at least one of the number of sub points of the candidate points of interest and the number of father points of the candidate points of interest, third ranking information of the distance between the position of each candidate point of interest and a target position in the distance between the positions of a plurality of candidate points of interest and the target position, and fourth ranking information of the frequency of each candidate point of interest in the frequency of the plurality of candidate points of interest as input information of a target point of interest probability information obtaining model, inputting the input information into the target point of interest probability information obtaining model, and obtaining probability information of whether each candidate point of interest in the plurality of candidate points of interest corresponds to the target point of interest selected by a user.

After obtaining the probability information of each candidate interest point in the candidate interest points, the probability information can be ranked from big to small according to the numerical value, and ranking information of the probability information is obtained; and then, sorting the candidate interest points according to the sorting information of the probability information to obtain the sorting information of the candidate interest points, and further obtaining a candidate interest point sorting list.

The above is a first way of obtaining the ranking information of the plurality of candidate points of interest, and the following describes a second way of obtaining the ranking information of the plurality of candidate points of interest.

When the user does not find a suitable point by selecting a position through the stamp point, the user can determine the target position based on the keyword input by the user by inputting the keyword on the page as shown in fig. 2.

And recalling the candidate interest points based on the target positions determined by the keywords.

After obtaining the plurality of candidate points of interest, in a different way than the first way: in the method, according to attribute information of each candidate interest point in the candidate interest points, evaluation score information of whether the target interest point selected by a user can be obtained, wherein the evaluation score information corresponds to each candidate interest point in the candidate interest points. Likewise, the attribute information includes at least one of usage type information of the candidate point of interest, the number of child points of the candidate point of interest, and the number of parent points of the candidate point of interest.

Specifically, as one embodiment of obtaining evaluation score information of whether or not each candidate point of interest corresponds to a target point of interest selected by a user: and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point evaluation score information obtaining model to obtain evaluation score information of whether each candidate interest point in the plurality of candidate interest points can become a target interest point selected by a user. In this manner, the manner of inputting the attribute information of each candidate point of interest in the plurality of candidate points of interest into the target point of interest evaluation score information obtaining model is similar to the manner of inputting the attribute information of each candidate point of interest in the plurality of candidate points of interest into the target point of interest probability information obtaining model, and the specific manner of inputting the model is referred to the first manner of obtaining the plurality of candidate point of interest ranking information, which is not described herein.

Unlike the first method of obtaining the ranking information of the plurality of candidate points of interest, in the second method of obtaining the ranking information of the plurality of candidate points of interest, the point of interest with the highest evaluation score among the plurality of candidate points of interest is used as the first-ranked point of interest recommended to the user.

Based on this, the first ranked points of interest in the candidate point of interest list have been obtained. In order to enable the user to select other candidate points of interest through the candidate point of interest list, it is also necessary to obtain ranking information of other candidate points of interest among the plurality of candidate points of interest except the point of interest ranked first.

Specifically, obtaining ranking information of candidate points of interest other than the point of interest ranked first among the plurality of candidate points of interest may refer to: first, the text similarity between the description information corresponding to the candidate points of interest except the point of interest ranked first among the candidate points of interest and the keyword information input by the user for determining the target address is obtained. And then, sorting other candidate interest points based on the text similarity, and obtaining sorting information of the other candidate interest points.

After the ranking information of the other candidate points of interest is obtained, ranking the other candidate points of interest according to the ranking of the other candidate points of interest after the point of interest ranked first in the ranking, obtaining the ranking information of the plurality of candidate points of interest, and thus obtaining a ranking list of candidate points of interest.

For example, when the keyword input by the user is "E building 3 layer 301 room", the attribute information of each candidate interest point "E building, E building east region, E building west region, E building east region 3 layer, and E building south door" is input to the above-described target interest point evaluation score information acquisition model, and the evaluation score of the obtained plurality of candidate interest points is the highest "E building east region 3 layer". Thus, "E-building east zone 3 layer" may be the first-ranked point of interest of the plurality of candidate point of interest lists.

And then, carrying out text similarity matching on the descriptive information 'E building, E building east region, E building west region and E building south door' corresponding to other candidate interest points and the keyword 'E building 3 layer 301 chamber', and sequencing the 'E building, E building east region, E building west region and E building south door' based on the text similarity matching process. Assume that other candidate interest point ranking results are: e-building, E-building west region, E-building east region, and E-building south door. The final candidate interest point list is sequentially: e building east zone 3, E building west zone, E building east zone, E building south door.

Fig. 1 to fig. 3 described above are diagrams of an application scenario of an information processing method according to the present application, and the application scenario of the information processing method is merely one embodiment of the application scenario of the information processing method according to the present application, which is provided for convenience in understanding the information processing method according to the present application, and is not intended to limit the information processing method according to the present application. Other application scenarios of the information processing method in the embodiment of the present application are not described in detail.

First embodiment

A first embodiment of the present application provides an information processing method, which is described below with reference to fig. 4.

Fig. 4 is a flowchart of an information processing method according to a first embodiment of the present application.

The information processing method of the embodiment of the application comprises the following steps:

step S401: determining a target position selected by a user on a current display map; and obtaining target text information input by a user and used for determining a target address, and determining a target position according to the target text information.

Some embodiments of the information processing method provided by the application can be applied to recommending a candidate interest point list to a user when the user needs to fill in the receiving address information in the scene of purchasing goods or dining articles, so that the user can select a certain interest point as a part of the receiving address.

When the user fills in the shipping address information, a target location is first selected to obtain a list of recommended candidate points of interest.

There are various ways to determine the target location provided by the user, and as two ways, respectively, it may be referred to as follows: determining a target position selected by a user on a current display map; or, obtaining target text information input by the user and used for determining the target address, and determining the target position according to the target text information.

For example, referring to FIG. 2, when a user stamps points on a presented map, the user's stamped points may be taken as an example of a target location selected on the currently presented map. When the user inputs a keyword in the "please input address" search box shown in fig. 2, the input keyword may be used as an example of the target text information input by the user for determining the target address.

In the present application, the ranking information of the plurality of candidate points of interest finally obtained by the way of stamping points is taken as a first way of obtaining the ranking information of the plurality of candidate points of interest, and the ranking information of the plurality of candidate points of interest obtained by the way of inputting keywords is taken as a second way of obtaining the ranking information of the plurality of candidate points of interest. The first way of obtaining ranking information for a plurality of candidate points of interest may be different from the second way of obtaining ranking information for a plurality of candidate points of interest. The first way to obtain ranking information for a plurality of candidate points of interest focuses on "recommending" key points to the user; the first way to obtain ranking information for a plurality of candidate points of interest is focused on embodying "search" key points.

Step S402: based on the target location, a plurality of candidate points of interest are recalled.

As one embodiment of recalling a plurality of candidate points of interest based on the target location: recall, based on the target location, points of interest within a specified distance range of the target location; and taking the interest points in the specified distance range of the target position as a plurality of candidate interest points.

When the user determines the target location by inputting the keyword, as an implementation manner of recalling the candidate points of interest based on the target location, it may also be that: recall points of interest where the descriptive information is similar to the keywords. For example, the keyword input is "in-home building", and the point of interest recalled may be "in-home building". The "sink building" is the descriptive information corresponding to the recalled interest point.

Step S403: obtaining ordering information of the candidate interest points according to attribute information of each candidate interest point in the candidate interest points; the attribute information includes at least one of usage type information of the candidate points of interest, the number of child points of the candidate points of interest, and the number of parent points of the candidate points of interest.

As a way of obtaining ranking information of a plurality of candidate points of interest based on attribute information of each of the plurality of candidate points of interest, there are various ways of specifically introducing two ways of obtaining ranking information of a plurality of candidate points of interest based on attribute information of each of the plurality of candidate points of interest.

The first way of obtaining ranking information of a plurality of candidate points of interest based on attribute information of each candidate point of interest is specifically described below,

in a first manner of obtaining ranking information of a plurality of candidate points of interest according to attribute information of each candidate point of interest, a target position is selected by means of a user stamp point.

Specifically, in a first manner of obtaining ranking information of a plurality of candidate points of interest according to attribute information of each candidate point of interest, first, probability information of whether each candidate point of interest can be a target point selected by a user or not is obtained according to attribute information of each candidate point of interest; then, based on the probability information, ranking information of the plurality of candidate points of interest is obtained.

In this embodiment, the target interest point is an interest point for obtaining a receiving address corresponding to the delivered item.

More specifically, as one way of obtaining probability information of whether each candidate point of interest of the plurality of candidate points of interest can become a target point of interest selected by the user, based on attribute information of each candidate point of interest of the plurality of candidate points of interest, it may be referred to as: and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point probability information obtaining model to obtain probability information of whether each candidate interest point in the plurality of candidate interest points can become a target interest point selected by a user or not.

The target interest point probability information obtaining model is continuously updated and optimized in the using process, so that probability information obtained by the updated target interest point probability information obtaining model is more accurate. The manner of updating the optimization model may be as described below: firstly, determining a target interest point selected by a user from a plurality of candidate interest points; and then, training the target interest point probability information acquisition model by taking the user characteristic information corresponding to the target interest point and the user as a training sample to obtain an updated target interest point probability information acquisition model.

For example, some of the candidate points of interest may be selected by the target user, some of the points of interest may not be selected by the target user, and the target point of interest probability information acquisition model is trained based on the determined target points of interest selected by the target user and the user characteristic information of the target user as training samples to obtain the updated target point of interest probability information acquisition model. Therefore, the probability information obtaining model of the target interest point can be always in the training process, and the obtained probability information is more and more reliable.

The user characteristic information can be characteristic information such as occupation of users, a large number of users are clustered through the user characteristic information, which interest points are easy to select by a certain group of users can be obtained, and probability information obtained through a target interest point probability information obtaining model is more reliable and more accurate.

In order to improve the accuracy of the obtained probability information and facilitate the processing of a large amount of information or a large amount of data, the attribute information of each candidate interest point of the plurality of candidate interest points is input into the target interest point probability information obtaining model, so as to obtain probability information of whether the target interest point selected by the user can be corresponding to each candidate interest point of the plurality of candidate interest points, which is the same as the target interest point.

First, first ranking information of the number of child points of interest of each candidate point of interest in the number of child points of interest of the plurality of candidate points of interest and second ranking information of the number of parent points of interest of each candidate point of interest in the number of parent points of interest of the plurality of candidate points of interest are obtained.

And then, inputting at least one of the first ordering information, the second ordering information and the purpose type information of each candidate interest point in the plurality of candidate interest points into a target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by the user can be corresponding to each candidate interest point in the plurality of candidate interest points.

In addition, the attribute information further comprises a distance between the position of the candidate interest point and the target position and a frequency of selecting the candidate interest point.

Therefore, as attribute information of each candidate point of interest in the plurality of candidate points of interest is input into the target point of interest probability information obtaining model, obtaining probability information of whether the target point of interest selected by the user can be obtained corresponding to each candidate point of interest in the plurality of candidate points of interest may also refer to: first, third ranking information of a distance between a position of each candidate interest point and a target position in a distance between the positions of the plurality of candidate interest points and the target position, and fourth ranking information of a frequency of each candidate interest point being selected in the frequencies of the plurality of candidate interest points are obtained. And then, inputting at least one of the purpose type information of the candidate interest points, the number of sub-interest points of the candidate interest points and the number of father interest points of the candidate interest points, the third sorting information and the fourth sorting information into a target interest point probability information obtaining model to obtain probability information of whether each candidate interest point in the plurality of candidate interest points can be a target interest point selected by a user.

In this embodiment, the target interest point probability information obtaining model adopts at least one of the following algorithms: bagging algorithm, random forest algorithm, boosting algorithm and Xgboost algorithm.

After probability information of whether each candidate point of interest can become a target point of interest selected by a user is obtained, ranking information of the plurality of candidate points of interest is obtained based on the probability information.

In this embodiment, as a way of obtaining ranking information of a plurality of candidate points of interest based on probability information, it may be referred to as follows: firstly, obtaining initial ordering information of a plurality of candidate interest points based on probability information; and then, re-ordering the initially ordered candidate interest points based on a preset ordering strategy to obtain re-ordering information of the candidate interest points.

Specifically, reordering the initially ranked multiple candidate points of interest based on a preset ranking policy may refer to: and re-ordering the initially ordered candidate interest points based on the preset black-and-white list interest points. The re-ordering of the candidate interest points in the initial ordering is equivalent to the accurate ordering, so that the ordering of the candidate interest points can be more accurate. For example, when a candidate point of interest is found to be ranked higher, but found to be a blacklisted point of interest, the candidate point of interest may be moved backward in the sequence or deleted from the initially ordered plurality of candidate points of interest. Conversely, it is assumed that a candidate point of interest can be found in the whitelisted points of interest, and the ranking thereof is moved forward.

In this embodiment, as ranking information for obtaining a plurality of candidate points of interest based on probability information, it may also refer to: and ordering the probability information from large to small according to the numerical value, and further obtaining ordering information of the candidate interest points.

The above is a related description of a first manner of obtaining the ranking information of the plurality of candidate points of interest according to the attribute information of each candidate point of interest in the plurality of candidate points of interest, and the following describes a second manner of obtaining the ranking information of the plurality of candidate points of interest according to the attribute information of each candidate point of interest in the plurality of candidate points of interest.

In the second mode of obtaining ranking information of the plurality of candidate points of interest according to attribute information of each candidate point of interest, the target position is determined by a mode of inputting a keyword by a user.

In this manner, a keyword input by the user is taken as an example of target text information input by the user for determining a target address. Namely: the target text information may refer to keywords entered to obtain a candidate point of interest list when the shipping address is filled in. For example, it may refer to keywords entered in the "please enter address" search box in the page as shown in fig. 2.

When the user inputs a keyword, recall a plurality of candidate points of interest as a target location-based, which may also be referred to as: firstly, recalling interest points with the description information similar to the target text information; and then, screening the interest points in the specified distance range of the target position from the interest points with the description information similar to the target text information, and taking the interest points in the specified distance range of the target position as a plurality of candidate interest points.

As a second way of obtaining ranking information of a plurality of candidate points of interest according to attribute information of each candidate point of interest in the plurality of candidate points of interest, it may specifically be referred to as follows: firstly, according to attribute information of each candidate interest point in a plurality of candidate interest points, obtaining evaluation score information of whether the target interest point selected by a user can be formed or not corresponding to each candidate interest point in the plurality of candidate interest points; then, ranking information of the plurality of candidate points of interest is obtained based on the evaluation score information.

In this embodiment, according to the attribute information of each candidate point of interest in the plurality of candidate points of interest, the evaluation score information of whether each candidate point of interest in the plurality of candidate points of interest corresponds to a target point of interest selected by the user may be: and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point evaluation score information obtaining model to obtain evaluation score information of whether each candidate interest point in the plurality of candidate interest points can become a target interest point selected by a user.

In this embodiment, the target point of interest evaluation score information obtaining model may use an Xgboost algorithm.

Similar to the optimization updating of the target interest point probability information acquisition model, the target interest point evaluation score information acquisition model can also be optimized and updated. For the optimization update of the model, please refer to the first way to obtain the ranking information of the candidate points of interest according to the attribute information of each candidate point of interest, which is not described herein.

Similarly, in order to improve the accuracy of the obtained evaluation score information and facilitate the processing of a large amount of information or a large amount of data, the attribute information of each candidate interest point of the plurality of candidate interest points is input into the target interest point evaluation score information obtaining model, and the evaluation score information of whether the target interest point selected by the user can be obtained corresponding to each candidate interest point of the plurality of candidate interest points is obtained as follows.

And then, inputting at least one of the first ordering information, the second ordering information and the purpose type information of each candidate interest point in the plurality of candidate interest points into a target interest point evaluation score information obtaining model to obtain evaluation score information of whether the target interest point selected by the user can be obtained corresponding to each candidate interest point in the plurality of candidate interest points.

In addition, the attribute information also includes a distance between the candidate interest point and the target position, and a frequency of selecting the candidate interest point.

Therefore, as the attribute information of each candidate point of interest in the plurality of candidate points of interest is input into the target point of interest evaluation score information obtaining model, obtaining evaluation score information of whether or not each candidate point of interest in the plurality of candidate points of interest can become the target point of interest selected by the user may also refer to: first, third ranking information of a distance between a position of each candidate interest point and a target position in a distance between the positions of the plurality of candidate interest points and the target position, and fourth ranking information of a frequency of each candidate interest point being selected in the frequencies of the plurality of candidate interest points are obtained. And then, inputting at least one of the purpose type information of the candidate interest points, the number of sub-interest points of the candidate interest points and the number of father interest points of the candidate interest points, the third sorting information and the fourth sorting information into a target interest point evaluation score information obtaining model to obtain evaluation score information of whether each candidate interest point in the plurality of candidate interest points corresponds to the target interest point selected by the user.

After obtaining the evaluation score information of whether each candidate point of interest can become the target point of interest selected by the user, the obtaining of the ranking information of the plurality of candidate points of interest as the ranking information based on the evaluation score information may refer to: and taking the interest point with the highest evaluation score in the candidate interest points as the interest point which is recommended to the user and ranked first.

In order to show the candidate points of interest except the point of interest ranked in the first position to the user, ranking information of other candidate points of interest except the point of interest ranked in the first position in the candidate points of interest can be obtained, and ranking information of the candidate points of interest can be obtained based on the ranking information of the other candidate points of interest.

Specifically, as ranking information for obtaining candidate points of interest other than the point of interest ranked first among the plurality of candidate points of interest, it may be specifically referred to as: firstly, obtaining text similarity between descriptive information corresponding to other candidate interest points except the interest point sequenced at the first position in a plurality of candidate interest points and target text information input by a user and used for determining a target address; and then, sorting other candidate interest points based on the text similarity to obtain sorting information of the other candidate interest points.

It should be noted that, the ranking information of the plurality of candidate points of interest obtained in the first manner is ranking information obtained based on the manner of the stamp points adopted by the user, and in the first manner, emphasis is placed on recommending surrounding points of interest to the user according to the ranking. If the proper interest points cannot be obtained in the ranking information obtained by the method of the adopted stamp points, the ranking information of the plurality of candidate interest points is obtained by adopting a second type, wherein the ranking information of the plurality of candidate interest points is obtained by the method of inputting keywords by a user, and in the second ranking mode, the focus is on providing the first interest points to the user according to ranking, and the searched interest points are provided to the user in essence. The first mode of obtaining the ranking information of the plurality of candidate points of interest is combined with the second mode of obtaining the ranking information of the plurality of candidate points of interest, so that a form that the peripheral search focuses on recommendation and the keyword search focuses on search is formed.

Since in the present embodiment, the ranking information of the plurality of candidate points of interest is obtained based on at least one attribute information of the usage type information of the candidate points of interest, the number of child points of the candidate points of interest, and the number of parent points of the candidate points of interest. This way, the target position selected by the user on the current display map is determined at the same time; and obtaining target text information input by a user and used for determining a target address, and determining a target position according to the target text information, so that the obtained ordering information of the candidate interest points has higher accuracy and rationality, the target interest points selected by the user based on the ordering information of the candidate interest points in the subsequent process can be more matched with the receiving address, and the distribution personnel can conveniently distribute based on the delivery address.

Second embodiment

The second embodiment of the present application corresponds to an information processing apparatus provided in the first embodiment of the present application. Since the device embodiment is substantially similar to the first embodiment, the description is relatively simple, and reference is made to the partial description of the first embodiment for relevant points. The device embodiments described below are merely illustrative.

Fig. 5 is a schematic diagram of an information processing apparatus according to a second embodiment of the present application.

The information processing apparatus includes: a target position determining unit 501, configured to determine a target position selected by a user on a current presentation map; the target text information which is input by the user and used for determining the target address is obtained, and the target position is determined according to the target text information; a recall unit 502, configured to recall a plurality of candidate points of interest based on the target location; a ranking information obtaining unit 503, configured to obtain ranking information of the plurality of candidate points of interest according to attribute information of each candidate point of interest in the plurality of candidate points of interest, where the attribute information includes at least one of usage type information of the candidate point of interest, a number of child points of interest of the candidate point of interest, and a number of parent points of interest of the candidate point of interest.

Optionally, the ranking information obtaining unit is specifically configured to: according to the attribute information of each candidate interest point in the candidate interest points, probability information of whether the target interest point selected by the user can be obtained, which corresponds to each candidate interest point in the candidate interest points; and obtaining ordering information of the candidate interest points based on the probability information.

Optionally, the ranking information obtaining unit is specifically configured to: and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by the user can be the corresponding candidate interest point in the plurality of candidate interest points.

Optionally, the method further comprises: a model updating unit; the model updating unit is specifically configured to: determining a target interest point selected by the user from the plurality of candidate interest points; and training the target interest point probability information acquisition model by taking the user characteristic information corresponding to the target interest point and the user as a training sample to obtain an updated target interest point probability information acquisition model.

Optionally, the ranking information obtaining unit is specifically configured to: based on the probability information, obtaining initial ranking information of the candidate interest points; and re-ordering the initially ordered candidate interest points based on a preset ordering strategy to obtain re-ordering information of the candidate interest points.

Optionally, the ranking information obtaining unit is specifically configured to: and re-ordering the initially ordered candidate interest points based on the preset black-and-white list interest points.

Optionally, the ranking information obtaining unit is specifically configured to: obtaining first ordering information of the number of child points of interest of each candidate point of interest in the number of child points of interest of the plurality of candidate points of interest and second ordering information of the number of parent points of interest of each candidate point of interest in the number of parent points of interest of the plurality of candidate points of interest; inputting at least one of the first ranking information, the second ranking information and the usage type information of each candidate interest point in the plurality of candidate interest points into a target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by the user can be the corresponding candidate interest point in the plurality of candidate interest points.

Optionally, the ranking information obtaining unit is specifically configured to: obtaining third ordering information of the distance between the position of each candidate interest point and the target position in the distance between the positions of the candidate interest points and the target position and fourth ordering information of the frequency of the selected candidate interest points in the frequency of the selected candidate interest points; inputting at least one of the usage type information of the candidate interest points, the number of sub-interest points of the candidate interest points, the number of father interest points of the candidate interest points, the third ordering information and the fourth ordering information into a target interest point probability information obtaining model to obtain probability information of whether each candidate interest point in the plurality of candidate interest points can be a target interest point selected by the user.

Optionally, the ranking information obtaining unit is specifically configured to: according to the attribute information of each candidate interest point in the candidate interest points, obtaining evaluation score information of whether the target interest point selected by the user can be the target interest point corresponding to each candidate interest point in the candidate interest points; and obtaining ordering information of the candidate interest points based on the evaluation score information.

Optionally, the ranking information obtaining unit is specifically configured to: and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point evaluation score information obtaining model to obtain evaluation score information of whether the target interest point selected by the user can be obtained corresponding to each candidate interest point in the plurality of candidate interest points.

Optionally, the ranking information obtaining unit is specifically configured to: and taking the interest point with the highest evaluation score in the candidate interest points as the interest point which is recommended to the user and ranked first.

Optionally, the ranking information obtaining unit is further configured to: obtaining ordering information of other candidate points of interest except the point of interest ordered first in the plurality of candidate points of interest; and obtaining the ordering information of the candidate points of interest based on the ordering information of the other candidate points of interest.

Optionally, the ranking information obtaining unit is specifically configured to: obtaining text similarity between descriptive information corresponding to other candidate interest points except the interest point ranked at the first position in the candidate interest points and target text information input by the user and used for determining a target address; and sorting the other candidate interest points based on the text similarity, and obtaining sorting information of the other candidate interest points.

Third embodiment

The third embodiment of the present application also provides an electronic device corresponding to the method of the first embodiment of the present application.

Fig. 6 is a schematic diagram of an electronic device according to a third embodiment of the present application, as shown in fig. 6.

The electronic device includes: a processor 601; a memory 602 for storing a computer program to be run by the processor for performing the method of the first embodiment.

Fourth embodiment

The fourth embodiment of the present application also provides a computer storage medium storing a computer program corresponding to the method of the first embodiment of the present application, the computer program being executed by a processor to perform the method of the first embodiment.

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.

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 storage media (non-transitory computer readable storage 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.

Claims

1. An information processing method, characterized by comprising:

determining a target position selected by a user on a current display map; the target text information which is input by the user and used for determining the target address is obtained, and the target position is determined according to the target text information;

recall a plurality of candidate points of interest based on the target location;

obtaining ordering information of the plurality of candidate interest points according to attribute information of each candidate interest point in the plurality of candidate interest points, wherein the attribute information comprises purpose type information of the candidate interest points and at least one of the number of child interest points of the candidate interest points and the number of father interest points of the candidate interest points;

When the user determines the target position through inputting target text information, the ranking information of the candidate interest points is obtained based on the evaluation score information of the target interest points which correspond to the candidate interest points and can be selected by the user; the probability information and the evaluation score information are obtained based on at least one sort information of first sort information of the number of child points of interest of each candidate point of interest in the number of child points of interest of the plurality of candidate points of interest, and second sort information of the number of parent points of interest of each candidate point of interest in the number of parent points of interest of the plurality of candidate points of interest.

2. The method of claim 1, wherein the probability information of whether each candidate point of interest of the plurality of candidate points of interest corresponds to a target point of interest selected by the user is obtained by:

And inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point probability information obtaining model to obtain probability information of whether the target interest point selected by the user can be the corresponding candidate interest point in the plurality of candidate interest points.

3. The method as recited in claim 2, further comprising:

determining a target interest point selected by the user from the plurality of candidate interest points;

and training the target interest point probability information acquisition model by taking the user characteristic information corresponding to the target interest point and the user as a training sample to obtain an updated target interest point probability information acquisition model.

4. The method of claim 2, wherein when the user selects the target location on the current presentation map, the ranking information of the plurality of candidate points of interest is obtained by:

based on the probability information, obtaining initial ranking information of the candidate interest points;

and re-ordering the initially ordered candidate interest points based on a preset ordering strategy to obtain re-ordering information of the candidate interest points.

5. The method of claim 4, wherein reordering the initially ranked plurality of candidate points of interest based on a preset ranking strategy comprises:

and re-ordering the initially ordered candidate interest points based on the preset black-and-white list interest points.

6. The method of claim 2, wherein the attribute information further includes a distance between a location of the candidate point of interest and the target location, a frequency at which the candidate point of interest is selected.

7. The method of claim 6, wherein inputting the attribute information of each candidate point of interest in the plurality of candidate points of interest into a target point of interest probability information obtaining model, obtaining probability information of whether each candidate point of interest in the plurality of candidate points of interest can be a target point of interest selected by the user, comprises:

obtaining third ordering information of the distance between the position of each candidate interest point and the target position in the distance between the positions of the candidate interest points and the target position and fourth ordering information of the frequency of the selected candidate interest points in the frequency of the selected candidate interest points;

Inputting at least one of the usage type information of the candidate interest points, the number of sub-interest points of the candidate interest points, the number of father interest points of the candidate interest points, the third ordering information and the fourth ordering information into a target interest point probability information obtaining model to obtain probability information of whether each candidate interest point in the plurality of candidate interest points can be a target interest point selected by the user.

8. The method of claim 1, wherein the evaluation score information of whether each candidate point of interest in the plurality of candidate points of interest corresponds to a target point of interest selected by the user is obtained by:

and inputting attribute information of each candidate interest point in the plurality of candidate interest points into a target interest point evaluation score information obtaining model to obtain evaluation score information of whether the target interest point selected by the user can be obtained corresponding to each candidate interest point in the plurality of candidate interest points.

9. The method of claim 8, wherein when the user determines the target location by entering target text information, the ranking information of the plurality of candidate points of interest is obtained by:

And taking the interest point with the highest evaluation score in the candidate interest points as the interest point which is recommended to the user and ranked first.

10. The method as recited in claim 9, further comprising: obtaining ordering information of other candidate points of interest except the point of interest ordered first in the plurality of candidate points of interest;

and obtaining the ordering information of the candidate points of interest based on the ordering information of the other candidate points of interest.

11. The method of claim 10, wherein the obtaining ranking information for candidate points of interest other than the first ranked point of interest of the plurality of candidate points of interest comprises:

obtaining text similarity between descriptive information corresponding to other candidate interest points except the interest point ranked at the first position in the candidate interest points and target text information input by the user and used for determining a target address;

and sorting the other candidate interest points based on the text similarity, and obtaining sorting information of the other candidate interest points.

12. The method of claim 1, wherein the target point of interest is a point of interest for obtaining a shipping address corresponding to the shipped item.

13. An information processing apparatus, characterized by comprising:

the target position determining unit is used for determining a target position selected by a user on the current display map; the target text information which is input by the user and used for determining the target address is obtained, and the target position is determined according to the target text information;

a recall unit for recalling a plurality of candidate interest points based on the target location;

a ranking information obtaining unit, configured to obtain ranking information of the plurality of candidate points of interest according to attribute information of each candidate point of interest in the plurality of candidate points of interest, where the attribute information includes usage type information of the candidate points of interest and at least one of a number of child points of interest and a number of parent points of interest of the candidate points of interest; when the user determines the target position through inputting target text information, the ranking information of the candidate interest points is obtained based on the evaluation score information of the target interest points which correspond to the candidate interest points and can be selected by the user; the probability information and the evaluation score information are obtained based on at least one sort information of first sort information of the number of child points of interest of each candidate point of interest in the number of child points of interest of the plurality of candidate points of interest, and second sort information of the number of parent points of interest of each candidate point of interest in the number of parent points of interest of the plurality of candidate points of interest.

14. An electronic device, comprising:

a processor;

a memory for storing a computer program to be run by a processor for performing the method of any one of claims 1-12.

15. A computer storage medium, characterized in that the computer storage medium stores a computer program, which is executed by a processor, for performing the method of any of claims 1-12.