CN114372213A

CN114372213A - Information processing method, apparatus, device, storage medium, and program product

Info

Publication number: CN114372213A
Application number: CN202210279674.4A
Authority: CN
Inventors: 钟子宏
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2022-03-22
Filing date: 2022-03-22
Publication date: 2022-04-19
Anticipated expiration: 2042-03-22
Also published as: CN114372213B

Abstract

The application provides an information processing method, an information processing device, information processing equipment, a storage medium and a program product, and relates to the technical field of computers. The method comprises the following steps: acquiring object positions of u target objects; u is greater than or equal to 3; acquiring the intermediate positions of the u target objects based on the object positions of the u target objects; acquiring the respective target position of at least one piece of target information; determining the processing priority of at least one target information based on the intermediate position and the distance between the target position of at least one target information and the object positions of u target objects respectively, and taking the minimum constraint loss as a target; the first processing is performed on the at least one target information based on the processing priority of the at least one target information. The method can be applied to the field of electronic maps, and the intelligent processing of the target information is realized in the scene of position determination of a plurality of interactive objects, so that the information acquisition efficiency and the information processing effect are improved.

Description

Information processing method, apparatus, device, storage medium, and program product

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 information processing device, a storage medium, and a program product.

Background

In a scene of a multi-person party, it is necessary to coordinate position information of respective target objects participating in the party and process the information based on the positions of the plurality of target objects.

In the related art, the target object needs to artificially determine each candidate position, and determine the type, location, and the like of each candidate position, in order to determine a target position that meets the requirements of a plurality of target objects.

However, the above processes of acquiring and analyzing the positions of the target objects all require manual searching and analyzing, so that the process of processing information based on the positions of the target objects is complex, the information acquisition efficiency is low, and the processing effect is poor.

Disclosure of Invention

The embodiment of the application provides an information processing method, an information processing device, information processing equipment, a storage medium and a program product, which can realize intelligent processing of target information related to a target position in a scene of position determination of a plurality of target objects, reduce the complexity of determining the target position and improve the efficiency of acquiring the target information related to the target position. The technical scheme comprises the following aspects.

In one aspect, an information processing method is provided, and the method includes:

acquiring object positions of u target objects; u is greater than or equal to 3 and is an integer;

acquiring the intermediate positions of the u target objects based on the object positions of the u target objects;

acquiring the respective target position of at least one piece of target information;

determining a processing priority of at least one piece of target information with a minimum constraint loss as a target based on distances between the intermediate position and object positions of the u target objects and distances between a target position of each piece of the target information and object positions of the u target objects;

performing a first process on at least one of the target information based on the processing priority of the at least one of the target information.

In another aspect, there is provided an information processing apparatus, the apparatus including:

the object position acquisition module is used for acquiring the object positions of u target objects; u is greater than or equal to 3 and is an integer;

the intermediate position acquisition module is used for acquiring the intermediate positions of the u target objects based on the object positions of the u target objects;

the target position acquisition module is used for acquiring the respective target position of at least one piece of target information;

a priority determination module, configured to determine a processing priority of at least one piece of target information, with a minimum constraint loss as a target, based on distances between the intermediate position and object positions of the u pieces of target objects and distances between a respective target position of the at least one piece of target information and object positions of the u pieces of target objects;

an information processing module, configured to perform a first process on at least one piece of the target information based on the processing priority of the at least one piece of the target information.

In one possible implementation manner, the intermediate position obtaining module includes:

the position information acquisition submodule is used for acquiring position information of object positions of the three target objects and position information of central point positions between every two three target objects;

and the middle position acquisition sub-module is used for acquiring the middle positions of the three target objects based on the position information of the object positions of the three target objects and the position information of the central point position between every two three target objects.

In one possible implementation manner, the intermediate position obtaining sub-module includes:

the equation set building unit is used for building a linear equation set based on the position information of the object positions of the three target objects and the position information of the central point positions between every two three target objects; the system of linear equations comprises at least two linear equations used for indicating a straight line passing through the object position of one of the target objects and the center point position between the other two of the target objects;

and the middle position acquisition unit is used for acquiring straight line intersection points corresponding to at least two straight line equations as the middle positions of the three target objects.

In one possible implementation, the apparatus further includes:

the interactive information acquisition module is used for acquiring interactive information among the v interactive objects in the target group; v is not less than u, and v is an integer;

and the target object acquisition module is used for acquiring u target objects from the v interactive objects based on the interactive information among the v interactive objects.

In a possible implementation manner, the target object obtaining module includes:

the interactive frequency acquisition sub-module is used for acquiring the interactive frequency of the v interactive objects in the target group based on the interactive information among the v interactive objects;

the sequencing result obtaining submodule is used for sequencing the v interactive objects based on the sequence of the interactive frequency of the v interactive objects in the target group from high to low to obtain a sequencing result;

and the first obtaining submodule is used for determining the first u interactive objects in the sequencing result as u target objects.

the keyword acquisition submodule is used for carrying out natural language processing on the interactive information among the v interactive objects to obtain object keywords; the object key words are used for indicating the interactive objects related to the information interaction of the v interactive objects;

and the second obtaining submodule is used for obtaining u target objects from the v interactive objects based on the object keywords.

In one possible implementation, the priority determining module includes:

the weight obtaining sub-module is used for training a first loss model based on the distances between the middle position and the object positions of the u target objects and the distances between the target position of each piece of target information and the object positions of the u target objects to obtain loss weights; the loss weight is an adjustable parameter in the first loss model; the first loss model is a constrained function model;

a loss value obtaining sub-module, configured to process, based on a second loss model, distances between the intermediate position and object positions of the u target objects and distances between a target position of each of the at least one piece of target information and object positions of the u target objects, and obtain a loss value of the at least one piece of target information; the second loss model is an unconstrained function model constructed based on the loss weights;

a priority obtaining sub-module, configured to obtain the processing priority of at least one piece of target information based on a loss value of the at least one piece of target information.

In a possible implementation manner, the information processing module is configured to send at least one piece of target information to v interactive terminals based on the processing priority of the at least one piece of target information, so as to instruct the interactive terminals to display the at least one piece of target information according to the processing priority of the at least one piece of target information; the interactive terminal is a terminal corresponding to the interactive object.

In one possible implementation, the apparatus further includes:

the position information acquisition module is used for acquiring position information of a target position corresponding to the first target information; the first target information is one of at least one of the target information;

a path generating module, configured to generate, based on location information of a target location corresponding to the first target information and location information of object locations of v interactive objects, a navigation path between each of the v interactive objects and the target location corresponding to the first target information;

and the path sending module is used for respectively sending the navigation paths between the v interactive objects and the target positions corresponding to the first target information to the corresponding interactive objects.

In a possible implementation manner, the first target information is the target information indicated by the processing priority in the first bit in at least one of the target information;

alternatively, the first and second electrodes may be,

the first target information is the target information determined based on the selection operation of v interactive objects in at least one target information.

In one possible implementation manner, in response to that the first target information is the target information determined based on the selection operation of v interactive objects, the apparatus further includes:

the information receiving module is used for receiving feedback information; the feedback information is generated based on the selection operation of v interaction objects on at least one target information;

the quantity counting module is used for counting the quantity of selection operations received by at least one piece of target information based on the feedback information;

an information determining module, configured to determine the first target information from at least one piece of the target information based on a number of selection operations received by the at least one piece of the target information.

In another aspect, a computer device is provided, which comprises a processor and a memory, wherein the memory stores at least one computer program, and the at least one computer program is loaded and executed by the processor to realize the information processing method.

In another aspect, a computer-readable storage medium is provided, in which at least one computer program is stored, the computer program being loaded and executed by a processor to implement the above-mentioned information processing method.

In another aspect, a computer program product is provided, which comprises at least one computer program that is loaded and executed by a processor to implement the information processing method provided in the above various alternative implementations.

The technical scheme provided by the application can comprise the following beneficial effects:

in a scene where information processing is performed based on positions of a plurality of target objects, a computer device determines intermediate positions of at least three target objects by acquiring object positions of the at least three target objects; acquiring the respective position of at least one piece of target information, determining the processing priority of each piece of target information according to the distance between the middle position and the object positions of at least three target objects and the distance between the respective position of at least one piece of target information and the object positions of at least three target objects and the requirement of minimum constraint loss, and executing first processing on at least one piece of target information according to the processing priority of each piece of target information; therefore, in a scene of information processing based on the positions of a plurality of target objects, the operation process of manually confirming the target information is reduced, the target information is intelligently processed, and the information acquisition efficiency and the information processing effect are improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

FIG. 1 illustrates an architectural diagram of an information handling system provided by an exemplary embodiment of the present application;

FIG. 2 is a flow chart illustrating an information processing method provided by an exemplary embodiment of the present application;

FIG. 3 illustrates a flow chart of an information processing method illustrated in an exemplary embodiment of the present application;

FIG. 4 is a schematic diagram illustrating an intermediate position of a target object according to an exemplary embodiment of the present application;

FIG. 5 is a schematic diagram illustrating an intermediate position of another target object shown in an exemplary embodiment of the present application;

FIG. 6 illustrates a schematic diagram of object locations and center point locations as shown in an exemplary embodiment of the present application;

fig. 7 is a schematic view of an application scenario of an information processing method according to an exemplary embodiment of the present application;

FIG. 8 shows a block diagram of an information processing apparatus shown in an exemplary embodiment of the present application;

FIG. 9 is a block diagram illustrating the structure of a computer device in accordance with an exemplary embodiment;

FIG. 10 is a block diagram illustrating the structure of a computer device according to an example embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

The application provides an information processing method which can be applied to the technical field of car networking or the technical field of electronic maps.

Fig. 1 shows an architecture diagram of an information processing system according to an exemplary embodiment of the present application. As shown in fig. 1, the information processing system includes: a server 110 and a terminal 120.

The server 110 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a web service, cloud communication, a middleware service, a domain name service, a security service, a CDN (Content Delivery Network), a big data and artificial intelligence platform.

The terminal 120 may be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart tv, a vehicle terminal, etc. with a location transmitting function, but is not limited thereto.

Optionally, the terminal 120 may have an application program supporting the location transmission function; the server 110 may be a server corresponding to an application having a location transmission function; illustratively, the application may be implemented as an electronic map application, and correspondingly, the server 110 may be a server corresponding to the electronic map application.

Optionally, the terminal 120 may further have an application program supporting the information interaction function; the application program supporting information interaction and the application program supporting the location-based sending function may be the same application program, or the application program supporting information interaction and the application program supporting the location-based sending function may be different application programs.

The system includes one or more servers 110 and a plurality of terminals 120. The number of the servers 110 and the terminals 120 is not limited in the embodiment of the present application.

The terminal and the server are connected through a communication network. Optionally, the communication network is a wired network or a wireless network.

Optionally, the wireless network or wired network described above uses standard communication techniques and/or protocols. The Network is typically the Internet, but may be any Network including, but not limited to, a Local Area Network (LAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a mobile, wireline or wireless Network, a private Network, or any combination of virtual private networks. In some embodiments, data exchanged over a network is represented using techniques and/or formats including Hypertext Mark-up Language (HTML), Extensible Markup Language (XML), and the like. All or some of the links may also be encrypted using conventional encryption techniques such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Network (VPN), Internet Protocol Security (IPsec). In other embodiments, custom and/or dedicated data communication techniques may also be used in place of, or in addition to, the data communication techniques described above. The application is not limited thereto.

Fig. 2 shows a flowchart of an information processing method provided by an exemplary embodiment of the present application, which may be executed by a computer device, which may be implemented as a server, which may be the server shown in fig. 1, as shown in fig. 2, and which may include the following steps.

Step 210, acquiring object positions of u target objects; u is greater than or equal to 3, and u is an integer.

The computer device obtains object positions of at least three target objects.

Optionally, the u target objects may perform information interaction through a first application program having an information interaction function; illustratively, the first application having the information interaction function may be an instant messaging application. The u target objects can be all interactive objects or part of interactive objects in the same information interaction channel in the first application program; illustratively, the u target objects may be all or part of the interactive objects in the same group in the instant messaging application.

Step 220, acquiring the intermediate positions of the u target objects based on the object positions of the u target objects.

Alternatively, the intermediate position may be equidistant or unequal in distance from the object position of each target object. Illustratively, the intermediate position may be a position point within a position range determined based on the object positions of the u target objects; for example, the intermediate position may be any point within the range of positions, and so on.

Step 230, obtaining a target position of each of the at least one target information.

The target information is information content related to a target position; illustratively, the target information may include location information of a target location, service information at the target location, and the like, and the service information may include information related to a service environment, a service item, a service score, and the like of the target location. The content of the target information is not limited in the present application.

Step 240, determining the processing priority of the at least one target information with the minimum constraint loss as the target based on the distance between the intermediate position and the object positions of the u target objects and the distance between the respective target position of the at least one target information and the object positions of the u target objects.

Step 250, performing a first process on the at least one target information based on the processing priority of the at least one target information.

The processing priority is used to indicate an order in which the computer device performs the first processing on the respective target information.

Optionally, the performing, by the computer device, the first processing on the at least one piece of target information may mean that the computer device sends the at least one piece of target information to a related object; the related objects include u target objects.

Illustratively, the server may send at least one piece of target information to each relevant object, respectively; or, the server may send at least one piece of target information to an information interaction channel (such as a group) containing each related object, so that each related object obtains the at least one piece of target information; for example, the server may send at least one piece of target information to a group including each related object in the first application program, so that each related object obtains the at least one piece of target information.

To sum up, in a scene where information processing is performed based on positions of a plurality of target objects, a computer device determines intermediate positions of at least three target objects by obtaining object positions of the at least three target objects; acquiring the respective position of at least one piece of target information, determining the processing priority of each piece of target information according to the distance between the middle position and the object positions of at least three target objects and the distance between the respective position of at least one piece of target information and the object positions of at least three target objects and the requirement of minimum constraint loss, and executing first processing on at least one piece of target information according to the processing priority of each piece of target information; therefore, in a scene of information processing based on the positions of a plurality of target objects, the operation process of manually confirming the target information is reduced, the target information is intelligently processed, and the information acquisition efficiency and the information processing effect are improved.

Illustratively, the information processing method provided by the application can be applied to a scene which is suitable for determining the destination point by three or more interactive objects. In this scenario, if the object positions of the v interactive objects are dispersed, the v interactive objects need to be adapted to the v interactive objects when determining a meeting place (destination point), at this time, if the interactive objects confirm the geographical positions of the interactive objects, unify the geographical positions of the meeting, and select a meeting shop (destination point) at the geographical position, thereby completing the process of determining the destination point, which may take a long time in the process of determining the destination point, thereby making the efficiency of obtaining the target information of the destination point low; in order to reduce the complexity of determining a destination point and improve the efficiency of determining the destination point in a multi-person party scene, the application provides an information processing method which can realize fuzzy navigation in the multi-person party scene; the fuzzy navigation is a navigation mode which gives a navigation path through the object positions of u target objects in v interactive objects and the respective target position of at least one piece of target information without clearly giving information of a destination point; therefore, the target information is automatically determined and actively sent to the terminal, the process of acquiring the target information by the interactive object is reduced, and the acquisition efficiency of the target information is improved.

Fig. 3 shows a flowchart of an information processing method shown in an exemplary embodiment of the present application, which may be executed by a computer device, which may be implemented as a server, which may be the server shown in fig. 1, as shown in fig. 3, and which may include the following steps.

Step 310, acquiring u target objects; u is greater than or equal to 3, and u is an integer.

In a possible implementation manner, the u target objects are determined based on the interaction information in the target group in which the u target objects are located, that is, the process of acquiring the u target objects may be implemented as follows:

acquiring interaction information among v interaction objects in a target group; v is not less than u, and v is an integer;

and acquiring u target objects from the v interactive objects based on the interactive information among the v interactive objects.

That is, the target group includes v interactive objects, and u target objects are u interactive objects confirmed based on the interactive information among the v interactive objects in the target group.

In one possible implementation, u target objects are determined based on the interaction frequency of v interaction objects in the information interaction; the computer equipment can acquire the first u names of the v interactive objects with higher interactive frequency as target objects; in this case, the process of acquiring the target object may be implemented as:

acquiring the interaction frequency of the v interactive objects in the target group based on the interaction information among the v interactive objects;

and determining u target objects based on the interaction frequency of the v interactive objects in the target group.

Further, the computer device may sort the v interactive objects based on the order of the interactive frequency of the v interactive objects in the target group from high to low, to obtain a sorting result;

and determining the first u interactive objects in the sequencing result as u target objects.

Or the computer device may sort the v interactive objects based on the order of the interactive frequency of the v interactive objects in the target group from low to high, and obtain a reverse order sorting result;

and determining the last u interactive objects in the reverse sequencing result as u target objects.

The computer equipment can also acquire u target objects from the v interactive objects based on interactive keywords contained in the interactive contents among the v interactive objects; this process may be implemented as:

natural Language Processing (NLP) is carried out on the interactive information among the v interactive objects to obtain object keywords; the object key word is used for indicating the interactive objects related to the information interaction of the v interactive objects;

and acquiring u target objects from the v interactive objects based on the object keywords.

Illustratively, when the computer device extracts an object keyword of "your" from the interaction information "to your rice bar" sent by the first interaction object in the first group through natural language processing technology, it is determined that the target object is u interaction objects among the other interaction objects except the first interaction object in the first group of interaction objects; or, when the computer device extracts an object keyword of "@ first interaction object, @ third interaction object from the interaction information" @ first interaction object, @ third interaction object sent by the second interaction object in the second group through natural language processing technology, we go to and visit the street bar ", the" @ first interaction object, @ third interaction object "may determine that the target object is the first interaction object, the second interaction object, and the third interaction object; the present application is not limited to setting the target keyword, and the target keyword may be set by a relevant person based on an actual requirement.

In another possible implementation, the u target objects may be determined based on object positions of the v interaction objects; that is, the computer device may determine u target objects from the v interactive objects based on the object positions of the v interactive objects before acquiring the object positions of the u target objects.

Illustratively, the computer device may acquire u interactive objects among the interactive objects whose geographic positions are at the edges of the v interactive objects as target objects; optionally, when u is less than or equal to 4, the computer device may acquire any u of interaction objects located on the most east side, the most west side, the most south side, and the most north side among the interaction objects whose geographic positions are located at the edge as the target object. Or the computer device takes the midpoint of a connecting line between the object positions of two interactive objects which are farthest away in the v interactive objects as a reference point, and acquires u target objects from the v interactive objects according to the sequence from far to near of the object positions of the v interactive objects and the reference point.

In step 320, the object positions of the u target objects are obtained.

In a possible implementation manner, the computer device may perform information extraction on the interaction information of the v interaction objects by using an NLP technique to obtain object positions of the v interaction objects; illustratively, the computer device may extract a position keyword from the interaction information by using an NLP technique to obtain object positions of the respective interaction objects based on the position keyword, for example, if the computer device extracts the position keyword from the interaction information "i am sometime arrives at a location a in the afternoon and gets back at the time" sent to the first interaction object by using the NLP technique, and obtains the position keyword "a location", it may be determined that the object position of the first interaction object is a geographic position corresponding to the location a; or, the computer device may extract the object information of each interactive object through the NLP technology, so as to match the object information of each interactive object with a Location Based Service (LBS) database, thereby obtaining longitude and latitude information of each interactive object, that is, obtaining the object Location of each interactive object. It should be noted that the two manners of obtaining the object position of the interactive object may be applied separately or in combination, and this application is not limited to this.

Since the embodiment of the present application relates to processing of interactive information of interactive objects by an NLP technique, in order to ensure the security and validity of an information source, the computer device may instruct each interactive terminal of v interactive objects to display authorization query information on an interface, and after receiving a determination operation based on the authorization query information, the computer device confirms a processing right to acquire related information corresponding to the authorization query information.

Wherein, the authorization inquiry information may include location authorization inquiry information and information authorization inquiry information; after the computer device receives the determination operation of the v interaction objects on the authorization inquiry information, determining the object positions where the v interaction objects can be acquired and the interaction information of the v interaction objects.

Step 330, acquiring the intermediate positions of the u target objects based on the object positions of the u target objects.

When u is greater than or equal to 3, the computer device may construct a target adjacency graph (for example, the target adjacency graph may be a rectangle or a circle) based on the position information of the object positions of the u target objects, and the range corresponding to the target adjacency graph is the minimum range of the object positions including the u target objects (for example, the minimum rectangle or the minimum circle including the u target objects); acquiring the central position of the target adjacent graph as the middle positions of u target objects; the location information of the object location may refer to LBS location coordinates corresponding to the target object. Fig. 4 is a schematic diagram illustrating an intermediate position of a target object according to an exemplary embodiment of the present application, and as shown in fig. 4, taking the number of target objects as 4 and the target adjacency graph as a circle as an example, in this case, the computer device may construct a minimum circle 410 capable of containing 4 target object positions based on the object positions of the respective target objects; the position corresponding to the center of the circle is obtained as the middle position 420 of the 4 target objects. Alternatively, fig. 5 shows a schematic diagram of the middle positions of another target object shown in an exemplary embodiment of the present application, and as shown in fig. 5, taking the number of target objects as 5 and the target adjacent graph as a rectangle as an example, at this time, the computer device may construct a minimum rectangle 510 capable of containing 5 target object positions based on the object positions of the respective target objects, and obtain the intersection point of two diagonal lines of the minimum rectangle as the middle position 520 of the 5 target objects. The shape of the target adjacent pattern is not limited in the present application.

Taking the number of target objects as an example of 3, i.e. in response to u =3, based on the object positions of the u target objects, obtaining the intermediate positions of the u target objects may be implemented as:

acquiring position information of object positions of three target objects and position information of central point positions between every two three target objects;

and acquiring the middle positions of the three target objects based on the position information of the object positions of the three target objects and the position information of the central point position between every two three target objects.

Illustratively, the three target objects include a first target object, a second target object, and a third target object; the position coordinate of the first target object is (l)₁，w₁) The position coordinate of the second target object is (l)₂，w₂) The position coordinate of the third target object is (l)₃，w₃) Wherein l represents longitude and w represents latitude; the position coordinate of the position of the first center point between the first target object and the second target object is (

) And the position coordinate of the position of the second center point between the first target object and the third target object is (

) And the position coordinate of the position of the third center point between the second target object and the third target object is (

）。

After position information of object positions of the three target objects and position information of central points between every two three target objects are obtained, the computer equipment can establish a target adjacent graph mode and confirm the middle positions of the three target objects; or the computer device may also construct a linear equation set based on the position information of the object positions of the three target objects and the position information of the central point between every two three target objects, so as to solve the linear equation set to obtain the intermediate positions of the three target objects; this process may be implemented as:

based on the position information of the object positions of the three target objects and the position information of the central point position between every two three target objects, a linear equation set is constructed; the linear equation set comprises at least two linear equations, wherein the linear equations are used for indicating a straight line passing through the object position of one target object and the central point position between the other two target objects;

and acquiring straight line intersection points corresponding to at least two straight line equations as the middle positions of the three target objects.

Fig. 6 is a schematic diagram of the object position and the center point position according to an exemplary embodiment of the present application, and as shown in fig. 6, taking three linear equations as an example in a linear equation set, the computer device establishes a first linear equation based on the position information of the first target object 611 and the position information of the third center point position 623, establishes a second linear equation based on the position information of the second target object 612 and the position information of the second center point position 622, and establishes a second linear equation based on the position information of the third target object 613 and the position information of the first center point position 621 to form a linear equation set, and a formula of the linear equation set may be expressed as a two-point equation:

alternatively, the computer device may also construct the straight line equation based on other straight line construction manners, for example, the straight line construction manner may also be implemented as one of a truncated form, an intercept form, and a general form.

The computer device solves the equations of the above-mentioned linear equation set, and may obtain the intersection point of the straight lines of the three linear equations, such as the intersection point 630 of the straight lines shown in fig. 6, and obtain the intersection point of the straight lines as the middle position of the three target objects, and the position coordinates of the middle position may be expressed as (

）。

When the system of linear equations comprises two linear equations, the system of linear equations can comprise any two of the three linear equations; the computer equipment obtains a straight line intersection point of the two linear equations by solving an equation of a straight line equation set comprising the two linear equations, and obtains the straight line intersection point as the middle position of the three target objects.

Step 340, obtaining the respective target position of at least one target information.

In a possible implementation manner, the computer device may perform natural language processing on the interaction information between the v interaction objects to obtain position-related information in the interaction information; and performing position screening based on the position related information to obtain at least one piece of target information and the respective target position of the at least one piece of target information.

After obtaining the location-related information, the computer device may perform location filtering in a location database based on the location-related information to obtain at least one piece of target information and a target location of each piece of target information.

In another possible implementation, the target position may be a position within a target range around the intermediate position. That is, the computer device may directly acquire, as the target position, all positions within the target range around the intermediate position.

Alternatively, the target position may be a position determined based on the position-related information within a target range around the intermediate position; at this time, the computer device may acquire the position within the target range around the intermediate position as a candidate position; natural language processing is carried out on the interactive information among the v interactive objects, and position related information in the interactive information is obtained; and screening the candidate positions based on the position related information to obtain at least one target position. In this case, the location database may be a location database corresponding to a target range around the intermediate location, so as to narrow the range of target location screening based on the location-related information, improve the screening efficiency, and reduce the data processing amount of the computing device.

Illustratively, the position related information may include at least one of a commodity keyword, a shop keyword, and a shop type keyword, after the computer device obtains one or more of the position related information, the computer device obtains a geographic position corresponding to the position related information, that is, a target position, by matching the obtained position related information with information in a database corresponding to a position within a target range around the intermediate position, which is illustratively, the database may be implemented as a "commodity-shop type-geographic position" database, and the implementation form of the database is not limited in the present application. For example, if the interactive information of the v interactive objects includes interactive information "i want to eat a hot pot", when the computer device obtains a commodity keyword "hot pot" after extracting the interactive information by an NLP technique, the computer device may perform information matching in a "commodity-shop type-geographic position" database corresponding to a position of the commodity keyword in a target range around the intermediate position, thereby screening shops in the target range around the intermediate position to obtain shops in the target range around the intermediate position that are related to the "hot pot", determine a geographic position of the shops related to the "hot pot" as a target position, and obtain respective target information of each target position. Or, if the interactive information of the v interactive objects includes interactive information "shop a seems to be good", when the computer device obtains a shop keyword "shop a" after extracting the interactive information through NLP technology, the computer device may perform information matching in a "commodity-shop type-geographic position" database corresponding to a position of the shop keyword in a target range around the intermediate position, so as to screen the shops in the target range around the intermediate position, so as to obtain a geographic position of the shop a in the shops in the target range around the intermediate position; further, the computer device may further obtain a commodity keyword based on the commodity operated by the "shop a", so as to further determine the geographic location of the related shop based on the commodity keyword; the computer device determines the geographic position determined based on the shop a as the target position, and acquires respective target information of the respective target positions.

In the embodiment of the present application, each keyword corresponding to the position related information may be set or updated by a related person, or the present application obtained by word segmentation is not limited to this.

Step 350, based on the distances between the intermediate position and the object positions of the u target objects and the distances between the respective target positions of the at least one piece of target information and the object positions of the u target objects, determining the processing priority of the at least one piece of target information with the constraint loss minimum as the target.

Wherein the first loss model is a mathematical model constructed based on distances between the intermediate position and the u target object positions, the loss weight, and distances between the respective target position of the at least one piece of target information and the object positions of the u target objects; illustratively, taking u =3 as an example, the first loss model may be represented as:

the first loss model is a constrained overall loss model; wherein D is_jDenotes the distance between the intermediate position and the jth object position, j =1, 2, 3, and

；D_ijrepresents the distance between the ith target position and the jth object position, i =1, 2, … …, n; j =1, 2, 3; n represents the number of target positions, an

；w_ijRepresenting a loss weight between the ith target location and the jth object location; theta is a conventional parameter and is set by related personnel;

to constrain the first loss model.

The embodiment of the application adopts the method of loss minimization and gradient reduction, and the method is characterized in that

And

substituting the loss weight into the first loss model to optimize the loss weight in the first loss model to obtain the optimal loss weight

。

After obtaining the optimal loss weight based on the first loss model, the computer device may substitute the optimal loss weight into a second loss model constructed based on the loss weight to obtain a loss value of the at least one piece of target information; the second loss model may be expressed as:

the second loss model is an unconstrained loss model, R_iAnd indicating the loss value corresponding to the ith target information.

Illustratively, the loss value of at least one target information may constitute a loss sequence R, an

。

After the loss value of the at least one piece of target information is acquired, the computer device may sort the loss values of the at least one piece of target information to determine a processing priority of the at least one piece of target information according to a result of the sorting of the loss values. Illustratively, the computer device may sort the at least one piece of target information in an order from a large loss value to a small loss value, and obtain an inverse result of the sorting result as a processing priority of the at least one piece of target information; or, the computer device may sort the at least one piece of target information in an order from a smaller loss value to a larger loss value, and obtain a result of the sorting as a processing priority of the at least one piece of target information.

Step 360, performing a first process on the at least one target information based on the processing priority of the at least one target information.

Optionally, when performing the first processing on the target information, the computer device may send the at least one piece of target information to the v interactive terminals based on the processing priority, so as to instruct the interactive terminals to display the at least one piece of target information according to the processing priority of the at least one piece of target information; the interactive terminal is a terminal corresponding to the interactive object.

In a possible implementation manner, the computer device may send at least one piece of target information to the interactive terminals of the interactive object in sequence, that is, for one interactive terminal, when receiving the target information, the target information is received one by one; at this time, the processing priority is used to indicate the order in which the computer device sends the target information to the interactive terminal. Illustratively, the computer device may first send first target information with a first processing priority to the interactive terminal; after receiving feedback information based on the first target information, determining whether to continue to execute first processing on the target information according to the processing priority based on the feedback information; when the feedback information is negative information based on the first target information, sending second target information with the processing priority at the first position to the interactive terminal, and so on until the computer equipment receives the determination information based on the target information; and stopping transmitting the target information when the feedback information is determined information based on the first target information or the transmission termination information. The negative information is used for indicating that the interactive object does not accept the target information; the determination information is used for indicating the interactive object to accept the target information; the termination transmission information is used to indicate that the first processing is not required to be performed on the target information.

In this embodiment of the application, after receiving feedback information sent by one of the v interactive terminals, the computer device may determine to receive feedback information based on the target information, and determine the type of the feedback information sent by the interactive terminal as the type of the feedback information based on the target information, for example, if the type of the feedback information sent by the interactive terminal is determination information, determine that the type of the feedback information based on the target information is also determination information; or, after receiving feedback information sent by interactive terminals exceeding the target ratio among the v interactive terminals, the computer device may determine to receive the feedback information based on the target information, and determine the type of the feedback information based on the target information based on the type of the feedback information sent by the interactive terminals of the target ratio, for example, the computer device may count the number of types indicated by the feedback information sent by each interactive terminal in the interactive terminals of the target ratio, and determine the type with the largest number as the type of the feedback information based on the target information; or, after receiving the feedback information sent by the interactive terminals corresponding to the u target objects, the computer device may determine to receive the feedback information based on the target information, and determine the type of the feedback information based on the target information based on the types of the feedback information sent by the interactive terminals corresponding to the u target objects; or, the computer device may also determine the type of the feedback information based on the target information based on the type of the feedback information sent by the received interactive terminal when the display duration of the target information reaches the duration threshold; the display duration is used for indicating the duration from the time when the target information is sent to the interactive terminal to the current time. It should be noted that, the above-mentioned manner for determining the received feedback information and the manner for determining the type of the feedback information are only illustrative, and related personnel may set the manner for determining the feedback information differently based on actual needs, which is not limited in this application.

In another possible implementation manner, the computer device may further send at least one piece of target information to the interactive terminal of the interactive object at one time; at this time, the processing priority is used to indicate a display order of at least one target information sent by the computer device to the interactive terminal. Illustratively, when the interactive terminal displays at least one piece of target information in an interface display manner, the interactive terminal may display the at least one piece of target information according to a display order indicated by the processing priority; when the interactive terminal displays at least one target message in a voice broadcasting mode, the interactive terminal can perform voice broadcasting on the at least one target message according to a broadcasting sequence for processing priority indication; the display mode of the target information is not limited by the application.

Optionally, the interactive terminal may perform first processing on at least one target information through a first application program having an information interaction function; for example, the server may generate at least one interactable message based on the at least one target message, and the at least one interactable message may be a message with an interactive function; the server sends the at least one interactive message to a first application program in the interactive terminal, so that the interactive terminal displays the at least one target message through displaying the at least one interactive message. The interaction mode corresponding to the interaction function may include at least one of touch interaction and voice interaction.

Illustratively, when the interactive terminal displays at least one target message in an interface display mode, the interactive terminal can display the at least one target message in a voting component mode; the at least one target information may correspond to at least one option in the voting component; in this case, the interactive terminal may determine a type of the respective feedback information of the at least one piece of target information based on the number of selection operations received by each option in the voting component, and transmit the respective feedback information of each piece of target information to the server.

In this embodiment of the application, after the computer device completes the first processing on the at least one piece of target information through the interactive terminal, the computer device may further generate, based on the first target information determined by the feedback information, a navigation path for each interactive object to reach a target position corresponding to the first target information.

Illustratively, the process of generating and sending the navigation path to the terminal by the computer device may be implemented as follows:

acquiring position information of a target position corresponding to the first target information; the first target information is one of at least one target information;

generating navigation paths between the target positions of the v interactive objects and the target positions corresponding to the first target information respectively based on the position information of the target positions corresponding to the first target information and the position information of the object positions of the v interactive objects;

and respectively sending the navigation paths between the v interactive objects and the target positions corresponding to the first target information to the corresponding interactive objects.

In an embodiment of the present application, the computer device may be implemented as a map server; after the map server confirms the navigation paths between the interactive objects and the target positions corresponding to the first target information, the navigation paths of the interactive objects can be sent to the interactive terminals corresponding to the interactive objects, so that the interactive terminals display or broadcast the navigation paths of the corresponding interactive objects reaching the target positions corresponding to the first target information. In the process, for the interactive terminal, after the interactive object determines the first target information based on the first application program with the information interaction function, the interactive object can automatically jump to the second application program with the path navigation function; the second application program is an application program which has account relation with the first application program, and the account relation between the second application program and the first application program is established based on the authorized operation of the interactive object. Or, after the interactive object determines the first target information based on the first application program with the information interaction function, the interactive terminal may automatically jump from the first application program to the first application program, and the sub-program with the path navigation function displays the navigation path after receiving the information related to the navigation path sent by the map server.

The first target information is the target information which is indicated by the processing priority and is in the first bit in at least one target information; or the first target information is determined based on the selection operation of the v interactive objects in at least one piece of target information; in this case, the process of the computer device determining the first target information based on the selection operation of the v interactive objects may be implemented as:

receiving feedback information; the feedback information is generated based on the selection operation of the v interactive objects on at least one target information;

counting the number of selection operations received by the at least one target information based on the feedback information;

the first target information is determined from the at least one target information based on the number of selection operations received by the at least one target information.

The computer device may determine, as the first target information, the target information that has received the largest number of selection operations.

Taking a first application program as an instant messaging application program, a second application program as a map navigation application program, a computer device as a map server corresponding to the second application program, and the number of interactive objects performing information interaction through the first application program is 3 as an example, fig. 7 is an application scene schematic diagram of an information processing method shown in an exemplary embodiment of the present application, and as shown in fig. 7, an interactive object a, an interactive object B, and an interactive object C perform information interaction through the first application program 710; after receiving the authorized operation of the three interactive objects, the map server 720 may extract information of the interactive information 711 of the three interactive objects in the first application 710 by using an NLP technique, and obtain object positions and position related information of the three interactive objects, where the position related information is a commodity keyword in fig. 7: a crayfish; map server 720 may obtain an intermediate position based on the respective object positions of the three interactive objects; acquiring at least one piece of target information and the respective target position of the at least one piece of target information based on the position-related information; the map server 720 may obtain at least one piece of target information and a target position of each piece of target information according to the position-related information, or the map server 720 may also obtain at least one piece of target information and a target position of each piece of target information according to the intermediate position and the position-related information; after acquiring the at least one target information, the map server 720 acquires distances between the three object positions and the intermediate position, and distances between the three object positions and the at least one target position; processing the distances between the three object positions and the center position and the distances between the three object positions and the at least one target position through the first loss model and the second loss model to obtain a loss sequence composed of loss values of the at least one target information, and determining a processing priority for the at least one target information based on the loss sequence, illustratively, the map server 720 obtains the first target information indicated by the processing priority for performing the first processing as the first target information, generates navigation paths respectively starting from the three object positions and ending at the first target position corresponding to the first target information, and respectively sends the navigation paths corresponding to the interaction objects to the interaction terminals corresponding to the interaction objects, so that the interaction terminals display the navigation paths corresponding to the interaction objects through the second application 730, as shown in fig. 7, in the second application program in the interactive terminal of the interactive object C, a navigation path from the object position of the interactive object C to the first target position corresponding to the first target information is displayed.

It should be noted that the information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data for analysis, stored data, displayed data, etc.) and signals referred to in this application are authorized by the user or fully authorized by various parties, and the collection, use and processing of the relevant data are subject to state and regional relevant laws and regulations and standards. For example, the object interaction information and the object location information referred to in the present application are obtained under sufficient authorization.

Fig. 8 shows a block diagram of an information processing apparatus according to an exemplary embodiment of the present application, which may include the following modules, as shown in fig. 8.

An object position obtaining module 810, configured to obtain object positions of u target objects; u is greater than or equal to 3 and is an integer;

an intermediate position obtaining module 820, configured to obtain intermediate positions of u target objects based on object positions of u target objects;

a target position obtaining module 830, configured to obtain a target position of at least one piece of target information;

a priority determination module 840, configured to determine a processing priority of at least one of the target information based on distances between the intermediate position and object positions of u target objects and distances between a respective target position of the at least one of the target information and object positions of u target objects, with a constraint loss minimum as a target;

an information processing module 850 for performing a first process on at least one of the target information based on the processing priority of the at least one of the target information.

In a possible implementation manner, the intermediate position obtaining module 820 includes:

In one possible implementation, the apparatus further includes:

In one possible implementation, the priority determining module 840 includes:

In a possible implementation manner, the information processing module 850 is configured to send at least one piece of target information to v interactive terminals based on the processing priority of the at least one piece of target information, so as to instruct the interactive terminals to display the at least one piece of target information according to the processing priority of the at least one piece of target information; the interactive terminal is a terminal corresponding to the interactive object.

In one possible implementation, the apparatus further includes:

alternatively, the first and second electrodes may be,

To sum up, in a scene where information processing is performed based on positions of a plurality of target objects, a computer device determines intermediate positions of at least three target objects by acquiring object positions of the at least three target objects; acquiring the respective position of at least one piece of target information, determining the processing priority of each piece of target information according to the distance between the middle position and the object positions of at least three target objects and the distance between the respective position of at least one piece of target information and the object positions of at least three target objects and the requirement of minimum constraint loss, and executing first processing on at least one piece of target information according to the processing priority of each piece of target information; therefore, in a scene of information processing based on the positions of a plurality of target objects, the operation process of manually confirming the target information is reduced, the target information is intelligently processed, and the information acquisition efficiency and the information processing effect are improved.

Fig. 9 shows a block diagram of a computer device 900 according to an exemplary embodiment of the present application. The computer device may be implemented as a server in the above-mentioned aspects of the present application. The computer device 900 includes a processor (such as a Central Processing Unit (CPU)) 901, a system Memory 904 including a Random Access Memory (RAM) 902 and a Read-Only Memory (ROM) 903, and a system bus 905 connecting the system Memory 904 and the Central Processing Unit 901. The computer device 900 also includes a mass storage device 906 for storing an operating system 909, application programs 910, and other program modules 911.

Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), flash Memory or other solid state Memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disks (DVD), or other optical, magnetic, or magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 904 and mass storage device 906 described above may be collectively referred to as memory.

The computer device 900 may also operate as a remote computer connected to a network via a network, such as the internet, in accordance with various embodiments of the present disclosure. That is, the computer device 900 may be connected to a network through the network interface unit 907 connected to the system bus 905, or may be connected to another type of network or a remote computer system (not shown) using the network interface unit 907.

The memory also stores at least one computer program, and the processor 901 implements all or part of the steps in the information processing method shown in each of the above embodiments by executing the at least one computer program.

Fig. 10 shows a block diagram of a computer device 1000 according to an exemplary embodiment of the present application. The computer device 1000 may be implemented as the terminal described above.

Generally, the computer device 1000 includes: a processor 1001 and a memory 1002.

Processor 1001 may include one or more processing cores, such as a 4-core processor, a 10-core processor, or the like. The processor 1001 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 1001 may also include a main processor and a coprocessor, where the main processor is a processor, also called a CPU, for processing data in an awake state; a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1001 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content that the display screen needs to display. In some embodiments, the processor 1001 may further include an AI (Artificial Intelligence) processor for processing a computing operation related to machine learning.

Memory 1002 may include one or more computer-readable storage media, which may be non-transitory. The memory 1002 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 1002 is used to store at least one instruction for execution by the processor 1001 to implement all or part of the steps in the information processing method illustrated by the method embodiments in the present application.

In some embodiments, the computer device 1000 may further optionally include: a peripheral interface 1003 and at least one peripheral. The processor 1001, memory 1002 and peripheral interface 1003 may be connected by a bus or signal line. Various peripheral devices may be connected to peripheral interface 1003 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1004, display screen 1005, camera assembly 1006, audio circuitry 1007, and power supply 1009.

In some embodiments, the computer device 1000 also includes one or more sensors 1009. The one or more sensors 1009 include, but are not limited to: acceleration sensor 1010, gyro sensor 1011, pressure sensor 1012, optical sensor 1013, and proximity sensor 1014.

Those skilled in the art will appreciate that the configuration shown in FIG. 10 is not intended to be limiting of the computer device 1000, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

In an exemplary embodiment, there is also provided a computer-readable storage medium having at least one computer program stored therein, the computer program being loaded and executed by a processor to implement all or part of the steps of the above-mentioned information processing method. For example, the computer readable storage medium may be a read-only memory, a random-access memory, a read-only optical disc, a magnetic tape, a floppy disk, an optical data storage device, and so forth.

In an exemplary embodiment, a computer program product is also provided, which includes at least one computer program that is loaded by a processor and executes all or part of the steps of the information processing method shown in any one of the embodiments shown in fig. 2 or fig. 3.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. An information processing method, characterized in that the method comprises:

2. The method of claim 1, wherein in response to u =3, said obtaining intermediate positions of u target objects based on object positions of u target objects comprises:

acquiring position information of object positions of the three target objects and position information of central point positions between every two three target objects;

and acquiring the intermediate positions of the three target objects based on the position information of the object positions of the three target objects and the position information of the central point position between every two three target objects.

3. The method according to claim 2, wherein the obtaining the intermediate positions of the three target objects based on position information of object positions of the three target objects and position information of center point positions of the three target objects between each other comprises:

constructing a linear equation set based on the position information of the object positions of the three target objects and the position information of the central point position between every two three target objects; the system of linear equations comprises at least two linear equations used for indicating a straight line passing through the object position of one of the target objects and the center point position between the other two of the target objects;

and acquiring the straight line intersection points corresponding to at least two straight line equations as the middle positions of the three target objects.

4. The method of claim 1, wherein prior to obtaining the object positions of the u target objects, the method further comprises:

5. The method according to claim 4, wherein the obtaining u target objects from v interactive objects based on the interactive information between the v interactive objects comprises:

sorting the v interactive objects based on the sequence of the interactive frequency of the v interactive objects in the target group from high to low to obtain a sorting result;

6. The method according to claim 4, wherein the obtaining u target objects from v interactive objects based on the interactive information between the v interactive objects comprises:

carrying out natural language processing on the interactive information among the v interactive objects to obtain object keywords; the object key words are used for indicating the interactive objects related to the information interaction of the v interactive objects;

7. The method of claim 1, wherein the determining the processing priority of at least one of the target information based on the distances between the intermediate position and the object positions of the u target objects and the distances between the respective target position of the at least one of the target information and the object positions of the u target objects with the constraint loss minimization being a target comprises:

training a first loss model based on the distances between the intermediate position and the object positions of the u target objects and the distances between the target position of each of the at least one piece of target information and the object positions of the u target objects to obtain a loss weight; the loss weight is an adjustable parameter in the first loss model; the first loss model is a constrained function model;

processing the distances between the intermediate position and the object positions of the u target objects and the distances between the respective object positions of the at least one piece of target information and the object positions of the u target objects based on a second loss model to obtain a loss value of the at least one piece of target information; the second loss model is an unconstrained function model constructed based on the loss weights;

and acquiring the processing priority of at least one piece of target information based on the loss value of at least one piece of target information.

8. The method of claim 4, wherein the performing a first process on at least one of the target information based on the processing priority of the at least one of the target information comprises:

sending at least one piece of target information to v interactive terminals based on the processing priority of at least one piece of target information to indicate the interactive terminals to display at least one piece of target information according to the processing priority of at least one piece of target information; the interactive terminal is a terminal corresponding to the interactive object.

9. The method of claim 8, further comprising:

acquiring position information of a target position corresponding to the first target information; the first target information is one of at least one of the target information;

generating navigation paths between the v interactive objects and the target positions corresponding to the first target information respectively based on the position information of the target positions corresponding to the first target information and the position information of the object positions of the v interactive objects;

10. The method of claim 9, wherein the first target information is the target information indicated by the processing priority in a first bit of at least one of the target information;

alternatively, the first and second electrodes may be,

11. The method according to claim 10, wherein in response to the first target information being at least one of the target information determined based on the selection operation of the v interactive objects, before acquiring location information of a target location corresponding to the first target information, the method further comprises:

receiving feedback information; the feedback information is generated based on the selection operation of v interaction objects on at least one target information;

counting the number of selection operations received by at least one piece of target information based on the feedback information;

determining the first target information from at least one of the target information based on the number of selection operations received by the at least one of the target information.

12. An information processing apparatus characterized in that the apparatus comprises:

13. A computer device comprising a processor and a memory, the memory storing at least one computer program that is loaded and executed by the processor to implement the information processing method according to any one of claims 1 to 11.

14. A computer-readable storage medium, in which at least one computer program is stored, the computer program being loaded and executed by a processor to implement the information processing method according to any one of claims 1 to 11.

15. A computer program product, characterized in that it comprises at least one computer program which is loaded and executed by a processor to implement the information processing method according to any one of claims 1 to 11.