CN110772796A

CN110772796A - Team forming method and device and electronic equipment

Info

Publication number: CN110772796A
Application number: CN201810896195.0A
Authority: CN
Inventors: 肖俊; 林海云
Original assignee: Ucweb Inc
Current assignee: Alibaba China Co Ltd
Priority date: 2018-07-30
Filing date: 2018-07-30
Publication date: 2020-02-11
Anticipated expiration: 2038-07-30
Also published as: CN110772796B

Abstract

The invention discloses a team forming method, a team forming device and electronic equipment. The method comprises the following steps: acquiring a team forming parameter of a target user; the team forming parameters at least comprise the number of team forming people and user parameters of target users; according to the team forming parameters, at least one candidate team forming combination is obtained from candidate users who can participate in team forming, and the candidate team forming combination comprises candidate users according with the number of people in the team forming; and acquiring a grouping score of the candidate grouping combination, and recommending the candidate users in the candidate grouping combination with the grouping score higher than a preset score threshold value to the target user for the target user to group. According to the invention, the team can be recommended to the user based on the estimated overall effect of the team, so that the team is recommended more accurately, and the team organizing efficiency is improved.

Description

Team forming method and device and electronic equipment

Technical Field

The present invention relates to the field of internet technologies, and in particular, to a team organizing method, a team organizing device, and an electronic device.

Background

With the popularization of the internet and terminals, people form groups through terminal Applications (APP) of the terminals to complete other entertainment tasks such as game tasks, answering tasks and the like.

In the prior art, when other entertainment tasks such as game tasks, answering tasks and the like are completed together, other users are generally recommended to complete team formation for a user according to user points or user areas of a single user.

However, the existing team organizing method cannot estimate the overall effect of team organizing to recommend other users to complete team organizing for the user.

Disclosure of Invention

It is an object of the present invention to provide a new solution for team formation.

According to a first aspect of the present invention, there is provided a method for queuing, comprising:

acquiring a team forming parameter of a target user; the team forming parameters at least comprise the number of team forming people and user parameters of target users;

according to the team forming parameters, at least one candidate team forming combination is obtained from candidate users who can participate in team forming, and the candidate team forming combination comprises candidate users according with the number of people in the team forming;

and acquiring a grouping score of the candidate grouping combination, and recommending the candidate users in the candidate grouping combination with the grouping score higher than a preset score threshold value to the target user for the target user to group.

Optionally, the obtaining of the team forming parameter of the target user includes:

when a team forming request of a target user is obtained, a team forming parameter of the target user is obtained;

or

When the online user is detected to have a team forming requirement, the online user is determined as a target user, and a team forming parameter of the target user is obtained.

Optionally, the user parameter of the target user includes a historical team forming record of the user, and the historical team forming record at least includes one of a historical team forming role and a historical team forming result of the target user; the step of obtaining at least one candidate team combination from candidate users who can participate in the team formation comprises the following steps:

acquiring a historical team forming record of each candidate user;

acquiring the historical matching degree between each candidate user and the historical formation record of the target user, and selecting the candidate user with the historical matching degree higher than a preset historical matching degree threshold value as the candidate user matched with the target user;

and selecting candidate users which are matched with the target user and accord with the team forming number to obtain a candidate team combination.

Optionally, the user parameter of the target user includes a user attribute, and the user attribute includes at least one of gender, age, region, and team grade of the target user; the step of obtaining at least one candidate team combination from candidate users who can participate in the team formation comprises the following steps:

acquiring the user attribute of each candidate user;

acquiring attribute matching degree between user attributes of each candidate user and a target user, and selecting the candidate user with the attribute matching degree higher than a preset attribute matching degree threshold value as the candidate user matched with the target user;

Optionally, the user parameter of the target user includes a user characteristic, and the user characteristic at least includes one of team preference information and user social information of the target user; the step of obtaining at least one candidate team combination from candidate users who can participate in the team formation comprises the following steps:

acquiring the user characteristics of each candidate user;

acquiring the feature matching degree between each candidate user and the user feature of the target user, and selecting the candidate user with the feature matching degree higher than a preset feature matching degree threshold value as the candidate user matched with the target user;

Optionally, the method further comprises:

and when no candidate user matched with the target user exists, performing fuzzy matching according to the team forming priority of the candidate user to obtain at least one candidate team forming combination.

Optionally, the group matching degree of the candidate users and the target users included in the candidate group combination meets a preset group condition; the step of obtaining the grouping score of the candidate grouping combination comprises the following steps:

and acquiring a team forming score of the candidate team forming combination according to the team forming matching degree of each candidate user and the target user in the candidate team forming combination.

Alternatively,

the team matching degree at least comprises one of history matching degree, attribute matching degree and feature matching degree;

the history matching degree is obtained according to the history group record of the target user and the history group record of the candidate user; the historical team forming record at least comprises one of historical team forming roles and historical team forming results of the users;

the attribute matching degree is obtained according to the user attribute of the target user and the user attribute of the candidate user; the user attribute comprises at least one of gender, age, region and team grade of the user;

the feature matching degree is obtained according to the user features of the target user and the user features of the candidate users; the user characteristics at least comprise one of group preference information and user social information of the user.

According to a second aspect of the present invention, there is provided a queuing apparatus, comprising:

the team forming parameter acquiring module is used for acquiring team forming parameters of a target user; the team forming parameters at least comprise the number of team forming people and user parameters of target users;

the candidate group combination obtaining module is used for obtaining at least one candidate group combination from candidate users which can participate in the group according to the group parameters, and the candidate group combination comprises candidate users according with the group number;

and the recommending module is used for acquiring the grouping score of the candidate grouping combination, and recommending the candidate users in the candidate grouping combination with the grouping score higher than a preset score threshold value to the target user for the target user to group.

According to a third aspect of the present invention, there is provided an electronic apparatus, comprising:

a memory for storing executable instructions;

and the processor is used for operating the electronic equipment to execute the queuing method provided by the first aspect of the invention according to the control of the executable instructions.

According to one embodiment of the disclosure, at least one candidate team combination is determined from candidate users capable of participating in team formation according to the obtained team formation parameters of the target user, a team formation score of the candidate team combination is obtained, the candidate users in the candidate team combination with the team formation score higher than a preset score threshold are recommended to the target user for team formation, the team is recommended to the user based on the estimated overall effect of the team formation, the team formation recommendation is more accurate, and the team formation efficiency is improved.

Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.

Drawings

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

Fig. 1 is a block diagram showing an example of a hardware configuration of an electronic apparatus 1000 that can be used to implement an embodiment of the present invention.

FIG. 2 shows a flow diagram of a method of team formation of an embodiment of the invention.

Fig. 3 shows a first flowchart of a step of obtaining a candidate team combination according to an embodiment of the present invention.

FIG. 4 shows a flowchart II of the step of obtaining candidate team combinations according to an embodiment of the present invention.

FIG. 5 shows a flowchart III of the step of obtaining candidate team combination according to the embodiment of the present invention.

Fig. 6 shows a first block diagram of a queuing apparatus according to an embodiment of the present invention.

Fig. 7 shows a block diagram two of a queuing apparatus of an embodiment of the present invention.

FIG. 8 shows a block diagram of an electronic device of an embodiment of the invention.

Detailed Description

Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.

In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

< hardware configuration >

Fig. 1 is a block diagram showing a hardware configuration of an electronic apparatus 1000 that can implement an embodiment of the present invention.

The electronic device 1000 may be a laptop, desktop, cell phone, tablet, etc. As shown in fig. 1, the electronic device 1000 may include a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, an input device 1600, a speaker 1700, a microphone 1800, and the like. The processor 1100 may be a central processing unit CPU, a microprocessor MCU, or the like. The memory 1200 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 1300 includes, for example, a USB interface, a headphone interface, and the like. The communication device 1400 is capable of wired or wireless communication, for example, and may specifically include Wifi communication, bluetooth communication, 2G/3G/4G/5G communication, and the like. The display device 1500 is, for example, a liquid crystal display panel, a touch panel, or the like. The input device 1600 may include, for example, a touch screen, a keyboard, a somatosensory input, and the like. A user can input/output voice information through the speaker 1700 and the microphone 1800.

The electronic device shown in fig. 1 is merely illustrative and is in no way meant to limit the invention, its application, or uses. In an embodiment of the present invention, the memory 1200 of the electronic device 1000 is used for storing instructions for controlling the processor 1100 to operate so as to execute any one of the queuing methods provided by the embodiment of the present invention. It will be appreciated by those skilled in the art that although a plurality of means are shown for the electronic device 1000 in fig. 1, the present invention may relate to only some of the means therein, e.g. the electronic device 1000 relates to only the processor 1100 and the storage means 1200. The skilled person can design the instructions according to the disclosed solution. How the instructions control the operation of the processor is well known in the art and will not be described in detail herein.

< example >

The general concept of the embodiment is to provide a new team forming scheme, and recommend a user with a team forming score higher than a preset score threshold value to a target user for team forming by evaluating a team forming score of a candidate team forming combination, so that the team forming is recommended to the user based on an estimated overall effect of team forming, the team forming is more accurate, and the team forming efficiency is improved.

< method >

In the present embodiment, a method of queuing is provided. It should be understood that the grouping method is applicable to any Application (APP) that a user needs to group, for example, the grouping method can be applied to a game service Application, an answer service Application or other entertainment service Application.

The team organizing method, as shown in fig. 2, includes: steps S2100-S2300.

Step S2100, obtaining a team forming parameter of a target user; the team forming parameters at least comprise the team forming number of people and the user parameters of the target users.

The target user is a user with a team forming requirement, and the user with the team forming requirement may be a user who makes a team forming request or a user who does not complete team forming within a preset time length by an online user, where the preset time length may be set according to a specific application scenario or an application requirement. For example, the target user is a user who makes a team forming request, and correspondingly, acquiring the team forming parameters of the target user includes: and when a team forming request of the target user is obtained, a team forming parameter of the target user is obtained. For example, the target user is a user for which the online user does not complete the formation within a preset time period, and correspondingly, the obtaining of the formation parameter of the target user includes: when the online user is detected to have a team forming requirement, the online user is determined as a target user, and a team forming parameter of the target user is obtained.

The team parameters of the target user are parameters that the target user is related to team member selection when performing a team with other users. The group parameters of the target users at least comprise the group number and the user parameters of the target users, wherein the group number is the number of people needed by the target users to complete the group, and the user parameters of the target users are the characteristic parameters of the target users related to the group of the target users.

The user parameter of the target user may include a historical team formation record of the target user, where the historical team formation record of the target user refers to a team formation record obtained by the user in a past historical team formation process. The historical formation record of the target user can at least comprise one of the historical formation role and the historical formation result of the target user. The historical team role of the target user refers to the role the target user plays in the team in the historical team. For example, in a team of a soccer game, the character may be a goalkeeper, may be a front, may be a back, etc. For example, in a team of answering games, the character may be a geo-compelling character, may be a political compelling character, etc.

The historical team forming result of the target user is a team forming result obtained by the target user in the past historical team forming process, for example, the historical team forming result of the target user can be the personal win rate of the target user in the team forming, and the personal win rate can be obtained by the ratio of the total times of the target user winning in participating in the team entertainment task to the total times of the target user participating in the team forming; the historical team formation result of the target user can also be the individual contribution rate of the target user in the team formation, when the target user participates in the team entertainment task, the individual contribution rate can be obtained by the ratio of the total amount of the tasks performed by the target user in the team formation entertainment task to the total amount of the tasks performed by the team, and when the target user participates in the team entertainment task, the tasks are at least two, the individual contribution rate can be obtained by weighting and averaging the ratio of the total amount of the tasks performed by each individual user in the team formation entertainment task to the total amount of the tasks performed by the team.

The user parameters of the target user comprise historical team forming records of the target user, the historical team forming records of the target user at least comprise one of historical team forming roles and historical team forming results of the target user, in combination with subsequent steps, at least one candidate team forming combination is obtained from candidate users capable of participating in team forming according to the historical team forming roles and/or the historical team forming results of the target user, the obtained candidate team forming combination is more accurate according to the historical team forming records of the target user, then team forming scores of the candidate team forming combinations are obtained, the candidate users in the candidate team forming combinations with the team forming scores higher than a preset score threshold are recommended to the target user for team forming, recommendation of teams to the user based on estimated overall effects of the teams is achieved, the team forming recommendation is more accurate, and the team forming efficiency is improved.

The user parameter of the target user may include a user attribute of the target user, where the user attribute of the target user refers to basic information inherent to the target user, and for example, the user attribute of the target user may include at least one of a gender, an age, a region, and a team rank of the target user. The region of the target user may be obtained by, for example, a terminal IP address used by the target user, or may be set by the target user. The team formation level of the target user can refer to the credit level of the game account of the target user in the corresponding team entertainment task, when the user parameter of the target user further comprises a historical team formation result of the target user, and the historical team formation result comprises a historical team formation role, the team formation level of the target user can also refer to the team formation role level of the target user, and when the target user has a plurality of historical team formation roles, each historical team formation role respectively comprises a respective team formation role level.

The user parameters of the target user comprise user attributes of the target user, the user attributes of the target user can comprise at least one of gender, age, region and team forming grade of the target user, in combination with the subsequent steps, at least one candidate team combination is obtained from candidate users capable of participating in team forming according to the gender and/or age and/or region and/or team forming grade of the target user, the obtained candidate team combination is more accurate according to the user attributes of the target user, then a team forming score of the candidate team combination is obtained, the candidate users in the candidate team combination with the team forming score higher than a preset score threshold are recommended to the target user for team forming, the recommendation of the team to the user based on the estimated overall effect of the team is achieved, the team forming recommendation is more accurate, and the team forming efficiency is improved.

The user parameters of the target user may include: the user characteristics of the target user refer to characteristics associated with the target user, for example, the user characteristics of the target user include at least one of team preference information and user social information of the target user. The team formation preference information of the target user can be which role the target user prefers to select when organizing a team, or which roles the target user prefers to organize with when organizing a team, for example, in a team of a football game, the historical preference information of the target user is a front; for another example, in the team of the answer game, the roles include a math strong role, a chemical strong role, a political strong role, a history strong role, a geography strong role, and the like, the target user preference selects the political strong role, and when the team is in the group 3, the target user preference is in team with the users of the history strong role and the geography strong role. The user social information of the target user may include, for example, friend information in a game account of the target user, and may further include friend information in a corresponding social software account when the game account of the target user is logged in through account authorization of social software.

The user parameters of the target user comprise the user characteristics of the target user, the user characteristics of the target user at least comprise one of team formation preference information and user social information of the target user, in combination with subsequent steps, according to the team formation preference information and/or the user social information of the target user, at least one candidate team formation combination is obtained from candidate users capable of participating in team formation, the obtained candidate team formation combination is more accurate according to the historical team formation record of the target user, then the team formation score of the candidate team formation combination is obtained, the candidate users in the candidate team formation combination with the team formation score higher than a preset score threshold value are recommended to the target user for team formation, the recommendation of teams to the user based on the estimated overall effect of the teams is achieved, the team formation recommendation is more accurate, and the team formation efficiency is improved.

In this embodiment, a team forming parameter of a target user is obtained, in a subsequent step, at least one candidate team forming combination is determined from candidate users who can participate in team forming according to the team forming parameter, a team forming score of the candidate team forming combination is obtained, the candidate users in the candidate team forming combination with the team forming score higher than a preset score threshold are recommended to the target user for team forming, the team forming is recommended to the user based on an estimated overall effect of the team forming, the team forming recommendation is more accurate, and the team forming efficiency is improved.

After step S2100, the flow proceeds to:

step S2200, according to the grouping parameter, at least one candidate grouping combination is obtained from the candidate users which can participate in the grouping, and the candidate grouping combination comprises the candidate users which accord with the number of the grouping people.

The candidate users capable of participating in the formation refer to other users besides the target users, which meet the conditions of participating in the formation, where the conditions of participating in the formation may be set according to specific application scenarios or application requirements, for example, the conditions of participating in the formation are that the user is an online user, or that the user is an online user and agrees to participate in the formation, and the like.

The candidate team combination refers to a combination of candidate users which are selected from all candidate users who can participate in the team and meet the team number.

The team parameters are parameters that the target user is related to team member selection when performing a team with other users. The team forming parameters at least comprise a team forming number and user parameters of target users, wherein the user parameters of the target users are characteristic parameters of the target users related to the team forming of the target users.

In this embodiment, according to a team forming parameter, at least one candidate team forming combination is determined from candidate users who can participate in team forming, a team forming score of the candidate team forming combination is obtained in combination with subsequent steps, the candidate users in the candidate team forming combination with the team forming score higher than a preset score threshold are recommended to a target user for team forming, the team forming is recommended to the user based on an estimated overall effect of the team forming, the team forming recommendation is more accurate, and the team forming efficiency is improved.

In one example, the user parameter of the target user includes a historical team record of the user, the historical team record includes at least one of a historical team role of the target user and a historical team result, and obtaining at least one candidate team combination from candidate users that can participate in the team formation may include steps S2210-S2230 as shown in fig. 3.

In step S2210, a historical team record for each candidate user is obtained.

The historical team formation record of the candidate user refers to a team formation record obtained by the candidate user in the past historical team formation process. The historical formation record of the candidate user can at least comprise one of the historical formation role and the historical formation result of the candidate user. The historical team role of the candidate user refers to the role the candidate user plays in the team in the historical team. For example, in a team of a soccer game, the character may be a goalkeeper, may be a front, may be a back, etc. For example, in a team of answering games, the character may be a geo-compelling character, may be a political compelling character, etc.

The historical team forming result of the candidate user is a team forming result obtained by the candidate user in the past historical team forming process, for example, the historical team forming result of the candidate user can be the personal win rate of the candidate user in the team forming, and the personal win rate can be obtained by the ratio of the total times of the candidate user winning in participating in the team forming entertainment task to the total times of the candidate user participating in the team forming; the historical team formation result of the candidate user can also be the individual contribution rate of the candidate user in the team formation, when the task in the team entertainment task participated by the candidate user is only one, the individual contribution rate can be obtained by the ratio of the total amount of the tasks performed by the candidate user in the team entertainment task to the total amount of the tasks performed by the team, and when the task in the team entertainment task participated by the candidate user is at least two, the individual contribution rate can be obtained by weighting and averaging the ratio of the total amount of the tasks performed by each candidate user in the team entertainment task to the total amount of the tasks performed by the team.

Step S2220, the historical matching degree between each candidate user and the historical team record of the target user is obtained, and the candidate user with the historical matching degree higher than the preset historical matching degree threshold value is selected as the candidate user matched with the target user.

The historical matching degree refers to the similarity between the historical formation records of the candidate users and the historical formation records of the target users. The similarity can be calculated by methods such as an euclidean distance method and a cosine similarity method, and details are not repeated here.

It should be noted that, when only one of the historical team role or the historical team result of the user is included in the historical team record of the user, taking the historical team role of the user only included in the historical team record of the user as an example, the similarity between the historical team role of the candidate user and the historical team role of the target user is taken as the historical matching degree of the candidate user and the target user. When the historical team forming record of the user comprises the historical team forming role and the historical team forming result of the user, respectively calculating the similarity between the historical team forming role of the candidate user and the historical team forming role of the target user and the similarity between the historical team forming result of the candidate user and the historical team forming result of the target user, and taking the weighted average result of the two similarities as the historical matching degree of the candidate user and the target user.

The history matching degree threshold is a history matching degree critical value used for judging whether the candidate user is the candidate user matched with the target user. The history matching degree threshold value can be set according to a specific application scene or application requirements.

And step S2230, selecting candidate users which are matched with the target users and accord with the number of the team forming people to obtain a candidate team forming combination.

The number of team members refers to the number of persons still needed by the target user to complete the team.

The candidate team combination refers to a combination of candidate users which are selected from candidate users capable of participating in the team, meet the number of the team and are matched with the target user.

For example, the number of team groups is 3, and the candidate team group combination may be: the combination of 3 single candidate users matched with the target user, or the combination of 3 candidate users which are already combined and are all matched with the target user, or the combination of 1 single candidate user matched with the target user and 2 candidate users which are already combined and are all matched with the target user.

In the embodiment, the historical matching degree between the candidate user and the historical team record of the target user is determined according to the historical team forming role and/or the historical team forming result of the candidate user and the target user, the candidate user with the historical matching degree higher than a preset historical matching degree threshold is selected as the candidate user matched with the target user, then the candidate user matched with the target user and according with the number of the team forming people is selected to obtain the candidate team combination, the candidate team combination obtained according to the historical matching degree is more accurate, the candidate user in the candidate team combination with the team score higher than a preset score threshold is selected in combination with the subsequent steps, the candidate user is recommended to the target user for team forming, the recommendation of the team to the user based on the estimated overall team forming effect is achieved, the team recommendation of the team is more accurate, and the team forming efficiency is improved.

In one example, the user parameters of the target user include user attributes including at least one of gender, age, region, and team grade of the target user; obtaining at least one candidate group combination from the candidate users that can participate in the grouping may be as shown in fig. 4, including steps S2240-S2260.

Step S2240 acquires a user attribute of each candidate user.

The user attribute of the candidate user refers to basic information inherent to the candidate user, for example, the user attribute of the candidate user may include at least one of gender, age, region, and team rank of the candidate user. The region of the candidate user can be obtained by the terminal IP of the candidate user, for example. The team formation level of the candidate user can refer to the credit level of the game account of the candidate user in the corresponding team entertainment task, when the user parameter of the candidate user further comprises a historical team formation result of the candidate user, and the historical team formation result comprises a historical team formation role, the team formation level of the candidate user can also refer to the team formation role level of the candidate user, and when the candidate user has a plurality of historical team formation roles, each historical team formation role respectively comprises the respective team formation role level.

Step S2250, obtaining an attribute matching degree between each candidate user and the user attribute of the target user, and selecting a candidate user whose attribute matching degree is higher than a preset attribute matching degree threshold as the candidate user matching with the target user.

The attribute matching degree refers to the similarity between the user attribute of the candidate user and the user attribute of the target user. The similarity can be calculated by methods such as an euclidean distance method and a cosine similarity method, and details are not repeated here.

When the user attribute of the user includes only one of the age, sex, region, and team rank of the user, taking the user attribute of the user including only the age of the user as an example, the similarity between the age of the candidate user and the age of the target user is taken as the attribute matching degree between the candidate user and the target user. When the user attributes of the user comprise at least two of the gender, the age, the region and the team level of the user, respectively calculating the corresponding similarity between each user attribute of the candidate user and each user attribute of the target user, and taking the result of weighted average of all the obtained similarities as the attribute matching degree of the candidate user and the target user.

The attribute matching degree threshold is an attribute matching degree threshold used for judging whether the candidate user is a candidate user matched with the target user. The threshold value of the attribute matching degree can be set according to a specific application scene or application requirements.

And step S2260, selecting candidate users which are matched with the target users and accord with the number of the team forming people to obtain candidate team forming combinations.

The candidate team combination refers to a combination of candidate users which are selected from candidate users capable of participating in the team, meet the number of the team and are matched with the target user. The candidate team combining manner is as in step S2230, and is not described here.

In this embodiment, the attribute matching degree between the user attributes of the candidate user and the target user is determined according to the gender and/or age and/or region and/or team ranking of the candidate user and the target user, the candidate user with the attribute matching degree higher than the preset attribute matching degree threshold is selected as the candidate user matched with the target user, then selecting candidate users which are matched with the target users and accord with the number of the team forming people to obtain candidate team forming combinations, the candidate team combination obtained according to the attribute matching degree is more accurate, candidate users in the candidate team combination with the team combining score higher than a preset score threshold value of the candidate team combination are selected in combination with the subsequent steps, and are recommended to the target user for team formation, the team is recommended to the user based on the estimated overall effect of team formation, the team recommendation is more accurate, and the team formation efficiency is improved.

In one example, the user parameters of the target user comprise user characteristics, wherein the user characteristics comprise at least one of group preference information and user social information of the target user; obtaining at least one candidate team combination from the candidate users that can participate in the team formation may be as shown in fig. 5, including steps S2270-S2290.

Step S2270, the user characteristics of each candidate user are acquired.

The user characteristics of the candidate user refer to characteristics associated with the candidate user. The user characteristics of the candidate users at least comprise one of team preference information and user social information of the candidate users. The team formation preference information of the candidate user can be which role the candidate user prefers to select when forming a team, or can be which role the candidate user prefers to form a team when forming a team, for example, in a team of a football game, the historical preference information of the candidate user is the back order; for another example, in the team of the answer match, the roles include a math strong role, a chemical strong role, a political strong role, a history strong role, a geographical strong role, and the like, the preference of the candidate user selects the chemical strong role, and when the team is in the group 3, the candidate user prefers to team the user with the math strong role and the user with the geographical strong role. The user social information of the candidate user may include, for example, friend information in a game account of the candidate user, and may further include friend information in a corresponding social software account when the game account of the candidate user is authorized to log in through the account of the social software.

Step S2280, obtaining a feature matching degree between each candidate user and the user feature of the target user, and selecting the candidate user with the feature matching degree higher than a preset feature matching degree threshold value as the candidate user matched with the target user.

The feature matching degree refers to the similarity between the user features of the candidate user and the user features of the target user. The similarity can be calculated by methods such as an euclidean distance method and a cosine similarity method, and details are not repeated here.

It should be noted that, when the user characteristics of the user only include one of the team preference information of the user or the social contact information of the user, taking the example that the user characteristics of the user only include the team preference information of the user, the similarity between the team preference information of the candidate user and the team preference information of the target user is taken as the feature matching degree of the candidate user and the target user. When the user characteristics of the user comprise the team preference information and the user social contact information of the user, respectively calculating the similarity between the team preference information of the candidate user and the team preference information of the target user and the similarity between the user social contact information of the candidate user and the user social contact information of the target user, and taking the result of weighted average of the two similarities as the characteristic matching degree of the candidate user and the target user.

The feature matching degree threshold is a feature matching degree critical value used for judging whether the candidate user is a candidate user matched with the target user. The feature matching degree threshold may be set according to a specific application scenario or application requirements.

And step S2290, selecting candidate users which are matched with the target users and meet the number of the team forming people to obtain candidate team forming combinations.

In the embodiment, the feature matching degree between the user features of the candidate user and the target user is determined through the team forming preference information and/or the user social information of the candidate user and the target user, the candidate user with the feature matching degree higher than a preset feature matching degree threshold is selected as the candidate user matched with the target user, then the candidate users matched with the target user and meeting the team forming number are selected to obtain a candidate team combination, the candidate team combination obtained according to the feature matching degree is more accurate, the candidate users in the candidate team combination with the team score higher than a preset score threshold are selected in combination with the subsequent steps, the candidate users are recommended to the target user for team forming, the team is recommended to the user based on the estimated overall team forming effect, the team recommendation of the team is more accurate, and the team forming efficiency is improved.

In practical application, when the user parameter only includes one of the history team record, the user attribute, and the user feature, the corresponding history matching degree or the attribute matching degree or the feature matching degree included in the user parameter is not higher than the history matching degree threshold, the attribute matching degree threshold, or the feature matching degree threshold, or the number of candidate users corresponding to the history matching degree or the attribute matching degree or the feature matching degree higher than the history matching degree threshold, the attribute matching degree threshold, or the feature matching degree threshold is smaller than the team number of users, the user required for the team cannot be accurately matched with the target user. Similarly, when the user parameters include at least two of the historical team formation records, the user attributes and the user characteristics, there may be a user that is not required for the target user to precisely match the team formation.

Based on the above, in an example, the method for grouping provided in this embodiment further includes: and when no candidate user matched with the target user exists, performing fuzzy matching according to the team forming priority of the candidate user to obtain at least one candidate team forming combination.

The team formation priority of the candidate user refers to the priority of the candidate user participating in the team formation, and for example, the team formation priority of the candidate user may be determined according to the team formation will of the candidate user, or the team formation priority of the candidate user may be determined according to a user parameter of the candidate user, such as at least one of a historical team formation record, a user attribute, and a user characteristic of the candidate user.

For example, the candidate users whose descending sort order of the team forming will of the candidate users is within the preset order range may be selected, and fuzzy matching may be performed with the target user to obtain at least one candidate team forming combination. The preset sequence range can be set according to a specific application scenario or application requirements.

In addition, when the history matching degree or the attribute matching degree or the feature matching degree is not higher than the history matching degree threshold or the attribute matching degree threshold or the feature matching degree threshold, and the difference between the history matching degree or the attribute matching degree or the feature matching degree and the history matching degree threshold or the attribute matching degree threshold or the feature matching degree threshold is within a preset threshold range, a candidate user in the preset threshold range and with the difference between the candidate user and the corresponding matching degree threshold within a preset order range can be selected, fuzzy matching is carried out on the candidate user and the target user, and at least one candidate team combination is obtained. The preset threshold range and the sequence range can be set according to a specific application scenario or application requirements.

In this embodiment, when there is no candidate user matching the target user, fuzzy matching may be performed on the target user according to the team forming priority of the candidate user, so that at least one candidate team combination can be obtained, and the team forming efficiency is improved.

How to implement step S2200 has been illustrated above with reference to the drawings and examples, and then:

step S2300, acquiring a grouping score of the candidate grouping combination, and recommending the candidate users in the candidate grouping combination with the grouping score higher than a preset score threshold value to the target user for the target user to group.

The candidate team combination refers to a combination of candidate users which are selected from candidate users capable of participating in the team, meet the number of the team and are matched with the target user. The team forming score of the candidate team forming combination refers to an overall team forming score of all candidate users and the target user in the candidate team forming combination, and the team forming score of the candidate team forming combination can be obtained by weighting and averaging the team forming scores of the candidate users and the target user in the candidate team forming combination.

The score threshold is a team score threshold used for judging whether the candidate users in the candidate team combination are recommended to the target user. The score threshold may be set according to a specific application scenario or application requirements.

In this embodiment, the candidate users in the candidate group combination with the group scores higher than the preset score threshold value of the candidate group combination are recommended to the target user for the target user to group, so that the group is recommended to the user based on the estimated overall effect of the group, the group recommendation is more accurate, and the group efficiency is improved.

In one example, the group matching degree between the candidate user and the target user included in the candidate group combination satisfies a preset group condition, and the step of obtaining the group score of the candidate group combination includes: and acquiring a team forming score of the candidate team forming combination according to the team forming matching degree of each candidate user and the target user in the candidate team forming combination.

In this embodiment, a team forming score of the candidate team combination is obtained according to a team forming matching degree of each candidate user in the candidate team combination and the target user, and then the candidate users in the candidate team combination with the team forming score higher than a preset score threshold value of the candidate team combination are recommended to the target user for the target user to form a team, so that the recommendation of the team to the user based on the estimated overall effect of the team is realized, the team is recommended more accurately, and the team forming efficiency is improved.

The team matching degree is used for characterizing the similarity between the candidate user and the target user. The team matching degree at least comprises one of history matching degree, attribute matching degree and feature matching degree.

The historical matching degree is obtained according to the historical team forming record of the target user and the historical team forming record of the candidate user; the historical formation record at least comprises one of historical formation roles and historical formation results of the users.

The attribute matching degree is obtained according to the user attribute of the target user and the user attribute of the candidate user; the user attribute includes at least one of gender, age, region, and team rank of the user.

The preset condition is a critical value of the group matching degree between the candidate user and the target user included in the candidate group combination, and the preset condition may be set according to a specific application scenario or an application requirement.

When the group matching degree between the candidate user and the target user in the candidate group combination meets a preset group condition, obtaining the group score of the target user according to the group matching degree between each candidate user and the target user in the candidate group combination, specifically:

and when the group matching degree only comprises any one of the history matching degree, the attribute matching degree and the feature matching degree, taking the history matching degree or the attribute matching degree or the feature matching degree included by the group matching degree as the group score of the target user.

And when the group matching degree comprises at least two of the history matching degree, the attribute matching degree and the feature matching degree, calculating a weighted average value of all matching degrees included in the group matching degree, and obtaining a result value after calculating the weighted average value, wherein the result value is used as the group score of the target user.

For example, the team matching degree includes a history matching degree, an attribute matching degree and a feature matching degree, wherein the history matching degree is A, and the corresponding weight is ω ₁The attribute matching degree is B, and the corresponding weight is omega ₂The feature matching degree is C, and the corresponding weight is omega ₃And then the corresponding group score of the target user is S:

in this embodiment, the team matching degree at least includes one of the history matching degree, the attribute matching degree and the feature matching degree, the team matching degree can be obtained by adopting any one or at least two of the history matching degree, the attribute matching degree and the feature matching degree, the team grouping score of the candidate team combination obtained according to the evaluation of the team matching degrees of multiple dimensions is more accurate, and the candidate user in the candidate team combination with the team grouping score higher than the preset score threshold is recommended to the target user for team grouping, so that the team grouping recommendation to the user is more accurate based on the estimated overall effect of the team, and the team grouping efficiency is improved.

< team Equipment >

In this embodiment, there is further provided a queuing apparatus 3000, as shown in fig. 6, including: a team parameter acquisition module 3100, a candidate team combination acquisition module 3200, and a recommendation module 3300. For implementing any one of the team organizing methods provided in this embodiment, details are not repeated here.

A team parameter acquisition module 3100, configured to acquire a team parameter of a target user; the team forming parameters at least comprise the team forming number of people and the user parameters of the target users.

In one example, the team parameter acquisition module 3100 is further configured to: when a team forming request of a target user is obtained, a team forming parameter of the target user is obtained; or when the online user is detected to have a team forming requirement, determining the online user as a target user, and acquiring a team forming parameter of the target user.

The candidate team group combination obtaining module 3200 is configured to obtain at least one candidate team group combination from candidate users that can participate in a team group according to the team group parameter, where the candidate team group combination includes candidate users that meet the number of team groups.

Further, in one example, the user parameter of the target user includes a historical team formation record of the user, and the historical team formation record includes at least one of a historical team formation role and a historical team formation result of the target user; the candidate team combination obtaining module 3200 is further configured to:

acquiring a historical team forming record of each candidate user;

Further, in one example, the user parameter of the target user includes a user attribute, the user attribute including at least one of gender, age, region, and team grade of the target user; the candidate team combination obtaining module 3200 is further configured to:

acquiring the user attribute of each candidate user;

Further, in one example, the user parameter of the target user includes a user characteristic, and the user characteristic includes at least one of team preference information and user social information of the target user; the candidate team combination obtaining module 3200 is further configured to:

acquiring the user characteristics of each candidate user;

In one example, as shown in fig. 7, the team device 3000 further includes: a fuzzy matching module 3400.

And when no candidate user matched with the target user exists, the fuzzy matching module 3400 is configured to perform fuzzy matching according to the team forming priority of the candidate user to obtain at least one candidate team forming combination.

And the recommending module 3300 is configured to obtain a grouping score of the candidate grouping combination, and recommend the candidate users in the candidate grouping combination with the grouping score higher than a preset score threshold to the target user for the target user to group.

In one example, the group matching degree of the candidate users and the target users included in the candidate group combination meets a preset group condition; the recommendation module 3300 is further configured to: and acquiring a group score of the target user according to the group matching degree of each candidate user and the target user in the candidate group combination.

Optionally, the team matching degree at least includes one of a history matching degree, an attribute matching degree and a feature matching degree;

It will be appreciated by those skilled in the art that the grouping device 3000 can be implemented in various ways. For example, the queuing apparatus 3000 may be implemented by an instruction configuration processor. For example, instructions may be stored in ROM and read from ROM into a programmable device to implement the queuing apparatus 3000 when the device is started. For example, the fleet device 3000 may be cured into a dedicated device (e.g., ASIC). The team device 3000 may be divided into units independent of each other, or may be implemented by combining them together. The team device 3000 may be implemented by one of the various implementations described above, or may be implemented by a combination of two or more of the various implementations described above.

In this embodiment, the team organizing device 3000 may be embodied in various forms, for example, the application team organizing device 3000 may be any software product providing a team organizing function, or the team organizing device 3000 may be disposed in any electronic device capable of implementing a team organizing function, such as a client or a server, or a part of functional units is disposed on a client, a part of functional units is disposed on a server, and so on.

< electronic apparatus >

In this embodiment, an electronic apparatus 4000 is further provided, as shown in fig. 8, including:

a memory 4100 for storing executable instructions;

a processor 4200, configured to execute the electronic device to perform any one of the queuing methods provided in the present embodiment under the control of executable instructions.

In this embodiment, the electronic device 4000 is any electronic device that can implement a team formation function, such as a mobile phone, a tablet computer, a palm computer, a notebook computer, a desktop computer, or the like, and the electronic device 4000 may further include other hardware devices, such as the electronic device 1000 shown in fig. 1.

The embodiments of the present invention have been described above with reference to the accompanying drawings and examples, and according to the embodiments, a method, an apparatus, and an electronic device for team formation are provided, where a team formation parameter of a target user is obtained, then according to the team formation parameter, at least one candidate team formation combination is determined from candidate users that can participate in team formation, a team formation score of the candidate team formation combination is obtained, and a candidate user in the candidate team formation combination with the team formation score higher than a preset score threshold is recommended to the target user for team formation, so that a team is recommended to a user based on an estimated overall effect of team formation, and the team formation efficiency is improved.

The present invention may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.

Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.

Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.

Claims

1. A method of queuing, comprising:

acquiring a team forming parameter of a target user; wherein the team forming parameters at least comprise the team number and the user parameters of the target users;

according to the team forming parameters, at least one candidate team forming combination is obtained from candidate users capable of participating in team forming, and the candidate team forming combination comprises the candidate users according with the number of the team forming people;

and acquiring a team forming score of the candidate team forming combination, and recommending the candidate user in the candidate team forming combination with the team forming score higher than a preset score threshold value to the target user for the target user to form a team.

2. The method of claim 1, wherein the obtaining the team parameters of the target user comprises:

when a team forming request of the target user is obtained, a team forming parameter of the target user is obtained;

or

When the online user is detected to have a team forming requirement, the online user is determined as the target user, and a team forming parameter of the target user is obtained.

3. The method of claim 1, wherein,

the user parameter of the target user comprises a historical team forming record of the user, and the historical team forming record at least comprises one of a historical team forming role and a historical team forming result of the target user;

the step of obtaining at least one candidate team combination from candidate users who can participate in the team formation comprises the following steps:

acquiring the historical formation record of each candidate user;

and selecting candidate users which are matched with the target user and accord with the team forming number to obtain the candidate team combination.

4. The method of claim 1, wherein,

the user parameter of the target user comprises a user attribute, wherein the user attribute comprises at least one of gender, age, region and team grade of the target user;

acquiring the user attribute of each candidate user;

acquiring attribute matching degree between the user attributes of each candidate user and the target user, and selecting the candidate users with the attribute matching degree higher than a preset attribute matching degree threshold value as the candidate users matched with the target user;

5. The method of claim 1, wherein,

the user parameters of the target user comprise user characteristics, and the user characteristics at least comprise one of team preference information and user social information of the target user;

acquiring the user characteristics of each candidate user;

acquiring a feature matching degree between each candidate user and the user feature of the target user, and selecting the candidate user with the feature matching degree higher than a preset feature matching degree threshold value as the candidate user matched with the target user;

6. The method according to any one of claims 3-5, further comprising:

7. The method of claim 1, wherein,

the group matching degree of the candidate users and the target users in the candidate group combination meets a preset group slave condition;

the step of obtaining the grouping score of the candidate grouping combination comprises the following steps:

and acquiring a group score of the candidate group combination according to the group matching degree of each candidate user and the target user in the candidate group combination.

8. The method of claim 7, wherein,

the historical matching degree is obtained according to the historical team forming record of the target user and the historical team forming record of the candidate user; the historical team forming record at least comprises one of historical team forming roles and historical team forming results of the user;

9. A queuing apparatus, comprising:

the team forming parameter acquiring module is used for acquiring team forming parameters of a target user; wherein the team forming parameters at least comprise the team number and the user parameters of the target users;

a candidate team combination obtaining module, configured to obtain at least one candidate team combination from candidate users that can participate in a team formation according to the team formation parameter, where the candidate team combination includes the candidate users that meet the number of the team formation;

10. An electronic device, comprising:

a memory for storing executable instructions;

a processor configured to operate the electronic device to perform the team organizing method according to any one of claims 1-8, according to the control of the executable instructions.