CN111709782A - Information interaction method and device and electronic equipment - Google Patents
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Abstract
The embodiment of the disclosure discloses an information interaction method, an information interaction device and electronic equipment. The method comprises the following steps: in response to receiving an information interaction request sent by an inviting user, determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and sending the information interaction request to the paired user so as to enable the inviting user to perform information interaction with the paired user. The target pairing strategy selected by the pairing strategy selection scheme can be matched with the pairing user with the equivalent flag drum for the inviting user, so that the inviting user and the pairing user can arouse more potential in the information interaction process, and the attention is improved.
Description
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to an information interaction method and apparatus, and an electronic device.
Background
With the development of the internet, the attention degree of users is also increasing, and before the product strategy is actually used, an a/B test (i.e., AB test) is generally required to verify whether the product strategy is feasible or better. During the A/B test, users can be grouped, and a user who can try the product policy A and a user who can try the product policy B can be determined, and then whether the product policy can be put into practical use or not can be determined by calculating related preset statistical parameters.
After determining the target product strategy which can be put into practical use, the target product strategy can be used for providing corresponding product service for the user.
Disclosure of Invention
This disclosure is provided to introduce concepts in a simplified form that are further described below in the detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
The embodiment of the disclosure provides an information interaction method, an information interaction device and electronic equipment.
In a first aspect, an embodiment of the present disclosure provides an information interaction method, where the method includes: in response to receiving an information interaction request sent by an inviting user, determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and sending the information interaction request to the paired user so as to enable the inviting user to perform information interaction with the paired user. The pairing strategy selection scheme is determined in advance based on the following steps: determining a pairing strategy corresponding to each first user according to received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.
In a second aspect, an embodiment of the present disclosure provides an information interaction apparatus, including: the determining module is used for responding to the received information interaction request sent by the inviting user and determining the pairing user corresponding to the inviting user based on the target pairing strategy selected by the predetermined pairing strategy selecting scheme; and the sending module is used for sending the information interaction request to the paired users so as to enable the inviting user to perform information interaction with the paired users. The pairing strategy selection scheme is determined in advance based on the following steps: determining a pairing strategy corresponding to each first user according to received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device, on which one or more programs are stored, which, when executed by the one or more processors, cause the one or more processors to implement the information interaction method of the first aspect.
In a fourth aspect, the disclosed embodiments provide a computer-readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the information interaction method described in the first aspect above.
The information interaction method and device and the electronic equipment are provided by the embodiment of the disclosure. Firstly, in response to receiving an information interaction request sent by an inviting user, determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and then sending the information interaction request to the paired user so as to enable the inviting user to perform information interaction with the paired user. The target pairing strategy selected by the pairing strategy selection scheme can be matched with the pairing user with the equivalent flag drum for the inviting user, so that the inviting user and the pairing user can arouse more potential in the information interaction process, and the attention is improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is a flow diagram of one embodiment of a method of information interaction according to the present disclosure;
FIG. 2 is a schematic structural diagram of one embodiment of an information interaction device according to the present disclosure;
FIG. 3 is an exemplary system architecture to which the information interaction method of one embodiment of the present disclosure may be applied;
fig. 4 is a schematic diagram of a basic structure of an electronic device provided according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, a flowchart of an embodiment of an information interaction method according to the present disclosure is shown, and as shown in fig. 1, the information interaction method includes the following steps 101 to 102.
The information interaction request can comprise a request sent by an inviting user for information interaction with other users. The inviting user can invite other people to perform information interaction.
In practice, the inviting user may comprise an anchor user, and the information interaction request may comprise a request (e.g., an anchor PK request) from the anchor user a requesting a session interaction with another anchor user B.
The matching strategy selection scheme can select a target matching strategy in advance, and the target matching strategy is used for matching the inviting user with a corresponding matching user. The target pairing policy herein may include, for example, matching a pairing policy for the inviting user that is the same type, age, and location zone as the inviting user. Specifically, the pairing strategy selection scheme may be determined in advance based on the following steps 1 to 4.
Step 1, determining a pairing strategy corresponding to each first user according to received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy.
The first user may initiate an information interaction request to request information interaction with others. After receiving an information interaction request sent by a first user, a pairing policy corresponding to the first user may be determined, where the pairing policy may include a policy for finding a corresponding invited user, for the first user, that is capable of accepting the invitation of the invited user.
The pairing policy may include a first pairing policy and a second pairing policy, that is, the first user may be matched with the corresponding invited user through the first pairing policy, or the first user may be matched with the corresponding invited user through the second pairing policy. The first pairing strategy here may for example comprise a first scheme for matching a first anchor user with anchor users having the same preferences as the first anchor user. The first party here may e.g. determine that it is a game hobby anchor based on the historical behaviour of the first anchor a, which often live game content, by which anchor a' of the same hobby game can be matched for the first anchor a. The second pairing strategy here may comprise, for example, a second scheme for matching the first anchor user with an anchor user with a small popularity gap with the first anchor user. The second scheme here may include, for example, matching the first anchor a with the less spread of the number of people watching its live.
After receiving information interaction requests of a plurality of first users, a corresponding pairing strategy can be determined for each first user. For example, after receiving the information interaction request of the first user a, it may be determined that the pairing policy of the first user a is the first pairing policy; after receiving the information interaction request of the first user B, determining that the pairing policy of the first user B is a second pairing policy; after receiving the information interaction request of the first user C, it may be determined that the pairing policy of the first user C is the second pairing policy, and the like.
And 2, for each first user, determining a second user corresponding to the first user according to the pairing strategy corresponding to the first user, and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy.
After the pairing strategy corresponding to the first user is determined, the first user can be matched with the corresponding second user through the determined pairing strategy. The second user here may comprise, for example, the invited anchor user described above. The first user can invite the second user to perform information interaction, and a plurality of first users and second users are used as test objects, so that data support can be provided for selecting a target pairing strategy in the pairing strategy selection scheme.
In some application scenarios, a user group corresponding to a first user may be determined by a pairing policy corresponding to the first user. For example, if it is determined that the pairing policy of the first user a is the first pairing policy, it may be determined that the user group corresponding to the first user a is the first user group. If the pairing policy of the first user a is determined to be the second pairing policy, it may be determined that the user group corresponding to the first user a is the second user group.
In some application scenarios, a user group in which the first user and the second user are co-located may be determined. For example, a first user a is in a first user group, and a corresponding second user a' may also be in the first user group. At this time, the user group in which both are present is the first user group.
In practice, the unique identity of the user may be determined by the user account of the user. That is to say, the first user or the second user may be identified by the user account, and when the users are grouped, the corresponding user may be recorded by recording the user account of the user, and the identity of the corresponding user may be determined by the user account. For example, the user account of the first user a is 123456, and when it is detected that the user with the user account of 123456 initiates the information interaction request, it may be determined that the user initiating the information interaction request is the first user a.
And 3, respectively counting the parameter values of the preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group.
After determining the user groups corresponding to the first users and the corresponding second users, a plurality of pairs of first users and second users may be respectively accumulated in the first user group and the second user group. At this time, parameter values of preset statistical parameters of each pair of first users and corresponding second users may be calculated respectively.
The preset statistical parameters may include parameters such as PK fields, viewer number, and viewing duration, and the corresponding parameter values may include, for example, 10 PK fields, 100 viewers, and 1 hour.
And 4, determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter values, and selecting a target pairing strategy based on the comparison result.
In some application scenarios, the parameter values of the preset statistical parameters corresponding to each pair of the first user and the second user in the same user group may be accumulated to obtain the parameter values of the preset statistical parameters of the pairing policy corresponding to the user group, and then the pairing policy with the better parameter values may be determined as the target pairing policy. For example, in a certain time, if the number of viewers watching the first user a in the first user group is 50 people, and the number of viewers watching the corresponding second user a' is 50 people, the parameter value corresponding to the preset statistical parameter, which is the number of viewers corresponding to the first user group, may be counted as 100 people, so that the difference between the number of viewers of the first user group and the number of viewers of the second user group may be 100 people, and at this time, the pairing policy corresponding to the first user group may be selected as the target pairing policy.
In the prior art, generally, the users are grouped according to a single party, for example, the user accounts corresponding to the first user and the second user are respectively grouped, for example, after a certain anchor user enters a certain scene, hash grouping is performed on the user accounts, but when an inviter (which may be regarded as the first user) and an invitee (which may be regarded as the second user) that perform information interaction simultaneously are involved, if the first user and the second user are respectively grouped through the user accounts of the single party, a situation that the first user and the second user cannot be grouped in the same user group may occur. That is, even if the first pairing policy or the second pairing policy is used, after the second user performing information interaction with the first user is found, the first user and the second user may still be subjected to hash grouping respectively in this way, and the two users may be grouped into different groups. If the grouping is different, the comparison effect of the pairing strategy selection schemes comparing the first pairing strategy and the second pairing strategy is low in significance.
For example, if the number of viewers of the first user B in the first user group is 50 and the corresponding second user B 'with the number of viewers of 50 is in the second user group, the number of viewers brought by the first user B to the first user group is 50 and the number of viewers brought by the second user B' to the second user group is 50. Thus, the difference in the number of viewers for the first and second user groups may be 0. If different users correspond to different pairing strategies, the obtained statistical result cannot determine the advantages and disadvantages of the different pairing strategies. That is, the contrast effect brought by it is not significant. When the comparison effect is not significant, it is not favorable to determine the comparison result of the first pairing strategy and the second pairing strategy. Therefore, in this embodiment, the first user and the second user can be classified as the same user group as much as possible, and then the problem that the contrast effect is not significant can be alleviated. When the comparison effect is obvious, the pairing strategy which is more optimal through the parameter value difference of the first user group and the second user group can be better compared.
According to the pairing strategy selection scheme provided by the embodiment, pairing strategies corresponding to the first users are determined according to received information interaction requests sent by the first users, wherein the pairing strategies comprise a first pairing strategy and a second pairing strategy; then, for each first user, according to the pairing strategy corresponding to the first user, determining a second user corresponding to the first user, and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; secondly, respectively counting parameter values of preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group; and finally, determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter values, and selecting a target pairing strategy based on the comparison result. The user pairs corresponding to each pairing strategy can be grouped in the same user, and the statistical parameter values corresponding to the preset statistical parameters of different user groups are compared, so that the problem that the comparison effect of the pairing strategy selection schemes is not obvious can be solved.
And 102, sending an information interaction request to the paired user so as to enable the inviting user to perform information interaction with the paired user.
After the corresponding paired user is determined through the target pairing strategy, the information interaction request can be sent to the corresponding paired user, and after the paired user receives the information interaction request, the paired user can choose to accept the information interaction invitation and perform information interaction with the inviting user.
For example, when the information interaction request is to invite the paired user to perform the microphone connecting interaction, the paired user may perform the microphone connecting interaction with the inviting user after receiving the information interaction request. In the process of microphone connection interaction, the capacities of two users are equivalent to each other, and more audiences can be attracted to watch the interactive microphone.
In this embodiment, first, in response to receiving an information interaction request sent by an inviting user, a target pairing policy selected based on a predetermined pairing policy selection scheme determines a pairing user corresponding to the inviting user, and then sends the information interaction request to the pairing user, so that the inviting user and the pairing user perform information interaction. The target pairing strategy selected by the pairing strategy selection scheme can be matched with the pairing user with the equivalent flag drum for the inviting user, so that the inviting user and the pairing user can arouse more potential in the information interaction process, and the attention is improved.
In some alternative implementations, step 2 may be implemented by the following steps 21 and 22.
And step 21, judging whether the first user has the first historical grouping record, and in response to determining that the first user has the first historical grouping record, determining a user group corresponding to the first user based on the first historical grouping record of the first user.
The first historical group record may include a record that characterizes whether the first user has been previously classified into any group of users.
In some application scenarios, the current user group may be determined by determining whether the first user has the first historical packet record. For example, the first user a has a record that has been classified into the first user group before the current time, and it may be determined that the user group to which the first user a currently corresponds is the first user group. Therefore, the grouping situation of the first user A is not influenced, and the grouping interference to the first user A is reduced.
And step 22, judging whether the second user has the second historical grouping record, and determining a user group corresponding to the second user according to the judgment result.
In some application scenarios, there is a case where a second user corresponding to a first user has already been grouped. Therefore, after the first user is matched with the corresponding second user through the matching strategy, whether the second user has the second historical grouping record or not can be judged so as to judge the user group corresponding to the second user. The second historical group record here may include whether the second user already has a record previously classified into any of the user groups.
In some optional implementations, step 22 may include step 221: and in response to determining that the second user does not have the second historical grouping record, dividing the second user into user groups corresponding to the first user, and determining the user group corresponding to the first user as the user group corresponding to the second user.
In some application scenarios, if it is determined that the second user does not have the second historical grouping record, that is, the second user has not been previously grouped into any user grouping. At this time, the second user may be divided into a user group in which the first user is located. For example, the user group corresponding to the first user a is the first user group, and if it is determined that the corresponding second user a 'has no second historical group record, the user group corresponding to the second user a' may be determined as the first user group. Since then, the second user a' may have a second historical group record assigned to the first user group. Therefore, the second users without the second historical grouping records can be grouped into the user groups where the corresponding first users are located as much as possible, the probability that the two users are in the same group can be improved, and the problem that the test effect is not obvious can be relieved to a certain extent.
In some optional implementations, step 22 may further include step 222: in response to determining that the second user has the second historical packet record, determining a user group corresponding to the second user based on the second historical packet record of the second user.
In some application scenarios, if it is determined that the second user has the second historical grouping record, the second user may be kept in the corresponding user grouping in the second historical grouping record without changing the user grouping corresponding to the second user. For example, if the second user a has a second historical group record previously assigned to the second user group, the user group corresponding to the second user a may be determined to be the second user group. That is, the grouping situation that the second user has determined is not changed, and the grouping interference to the second user is reduced.
After the above step 222 is performed, step 3 may include step 31: and in response to determining that the user group corresponding to the second user is the same as the user group corresponding to the first user, counting the obtained parameter values corresponding to the preset statistical parameters to the user group corresponding to the first user.
In some application scenarios, if the second user has a second history grouping record, it may be determined whether the user group of the second user determined by the second history grouping record is the same as the user group corresponding to the first user, that is, it may be determined whether the second user is in the same user group as the corresponding first user. If it is determined that the second user and the corresponding first user are in the same user group, the obtained parameter value corresponding to the preset statistical parameter may be counted to the user group corresponding to the first user.
For example, after the first user a and the second user a 'interact with the information, the viewing time (preset statistical parameter) of the viewer watching the first user a is 50 minutes, and the viewing time of the viewer watching the second user a' is 50 minutes. At this time, if it is determined that the second user a' is in the first user group with the first user a, the viewing time of the viewer taken by both of them may be counted into the first user group for 100 minutes.
In some optional implementations, step 3 may further include step 32 and step 33.
And step 32, in response to determining that the user group corresponding to the second user is different from the user group corresponding to the first user, judging whether the first user and the second user have historical information interaction data.
In some application scenarios, if it is determined that the second user is not in the same user group as the corresponding first user, historical information interaction data of the second user and the corresponding first user can be further checked, and it is determined to which user group the parameter value corresponding to the corresponding preset statistical parameter should be counted in through the historical information interaction data.
And step 33, in response to determining that the first user and the second user have no historical information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters to a user group corresponding to the first user.
That is, if it is determined that the first user and the corresponding second user have no historical information interaction data, the parameter values corresponding to the obtained preset statistical parameters may be counted to the user group corresponding to the first user. For example, there is no historical PK data between the first user a and the second user a ' performing the microphone connection interaction, that is, the first user a and the second user a ' have no PK, and the PK fields obtained by the first user a and the second user a ' at this time may be counted in the user group where the first user a is located.
In some optional implementations, step 3 may further include step 34 and step 35.
And step 34, responding to the fact that the first user and the second user have historical information interaction data, and judging whether the historical information interaction data is consistent with the current information interaction data.
In some application scenarios, it may be determined to which user group the parameter value corresponding to the obtained preset statistical parameter needs to be counted based on the historical information interaction data and the current information interaction data of the two corresponding users. For example, it is determined that the first user a and the corresponding second user a ' have historical PK data, and it may be detected whether the historical PK data is consistent with the current PK data, that is, if the current PK data indicates that the first user a invites the second user a ' to perform PK, it may be detected whether the historical PK data also invites the second user a ' to the first user a.
And step 35, in response to the fact that the historical information interaction data are consistent with the current information interaction data, counting parameter values corresponding to the obtained preset statistical parameters to a user group corresponding to the first user.
If the fact that the historical information interaction data are consistent with the current information interaction data is determined, the parameter values corresponding to the obtained preset statistical parameters can be counted to the user group corresponding to the first user. For example, the historical information interaction data invites the first user a to perform PK for the second user a ', the current information interaction data also invites the first user a to perform PK for the second user a', and the PK fields obtained this time may be counted in the user group where the first user a is located.
In some optional implementations, step 3 may further include step 36: and in response to the fact that the historical information interaction data are inconsistent with the current information interaction data, not counting the parameter values corresponding to the obtained preset statistical parameters.
For example, the historical information interaction data indicates that the first user a invites the second user a 'to perform PK, the current information interaction data indicates that the first user a' invites the second user a to perform PK, and the PK fields obtained at this time may not be counted, that is, the PK fields obtained at this time are not counted into any user group.
In some optional implementations, step 2 may further include step 23: in response to determining that the first user does not have the first historical grouping record, hash-grouping the first user; and determining a user group corresponding to the first user according to the Hash grouping result.
In some application scenarios, if a first user is not invited or has invited other users to interact with information, it has not been previously classified into any user group. At this point, it may be hash-grouped to determine the user group in which it is located. For example, the first user a, having no first historical packet record, may be hash-grouped, and may be divided into first user groups if it is determined by a corresponding hash algorithm that the first user a is classified into the first user groups. The hash grouping method is a known technique and will not be described herein.
Referring to fig. 2, which shows a schematic structural diagram of an embodiment of an information interaction apparatus according to the present disclosure, as shown in fig. 2, the information interaction apparatus includes a determining module 201 and a sending module 202. The determining module 201 is configured to determine, in response to receiving an information interaction request sent by an inviting user, a pairing user corresponding to the inviting user based on a target pairing policy selected by a predetermined pairing policy selection scheme. The sending module 202 is configured to send an information interaction request to the paired user, so that the inviting user and the paired user perform information interaction. The pairing strategy selection scheme can be determined in advance based on the following modules: the first determining module is used for determining the pairing strategy corresponding to each first user according to the received information interaction requests sent by the plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; the second determining module is used for determining a second user corresponding to each first user according to the pairing strategy corresponding to the first user and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; the statistical module is used for respectively counting parameter values of preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group; and the third determining module is used for determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value and selecting a target pairing strategy based on the comparison result.
It should be noted that, for specific processing of the determining module 201 and the sending module 202 of the information interaction apparatus and technical effects brought by the processing, reference may be made to the related descriptions of step 101 to step 102 in the corresponding embodiment of fig. 1, which are not described herein again.
In some optional implementations of this embodiment, the second determining module is further configured to: judging whether the first user has a first historical grouping record, and determining a user group corresponding to the first user based on the first historical grouping record of the first user in response to determining that the first user has the first historical grouping record; and judging whether the second user has a second historical grouping record, and determining a user group corresponding to the second user according to the judgment result.
In some optional implementations of this embodiment, the second determining module is further configured to: and in response to determining that the second user does not have the second historical grouping record, dividing the second user into user groups corresponding to the first user, and determining the user group corresponding to the first user as the user group corresponding to the second user.
In some optional implementations of this embodiment, the second determining module is further configured to: in response to determining that the second user has the second historical grouping record, determining a user group corresponding to the second user based on the second historical grouping record of the second user; and the statistics module is further to: and in response to determining that the user group corresponding to the second user is the same as the user group corresponding to the first user, counting the obtained parameter values corresponding to the preset statistical parameters to the user group corresponding to the first user.
In some optional implementations of this embodiment, the statistics module is further configured to: and in response to the fact that the user group corresponding to the second user is different from the user group corresponding to the first user, judging whether the first user and the second user have historical information interaction data or not, and in response to the fact that the first user and the second user do not have historical information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters to the user group corresponding to the first user.
In some optional implementations of this embodiment, the statistics module is further configured to: and in response to the fact that the first user and the second user have historical information interaction data, judging whether the historical information interaction data is consistent with the current information interaction data, and in response to the fact that the historical information interaction data is consistent with the current information interaction data, counting parameter values corresponding to the obtained preset statistical parameters to a user group corresponding to the first user.
In some optional implementations of this embodiment, the statistics module is further configured to: and in response to the fact that the historical information interaction data are inconsistent with the current information interaction data, not counting the parameter values corresponding to the obtained preset statistical parameters.
In some optional implementations of this embodiment, the second determining module is further configured to: in response to determining that the first user does not have the first historical grouping record, hash-grouping the first user; and determining a user group corresponding to the first user according to the Hash grouping result.
Referring to fig. 3, an exemplary system architecture to which the information interaction method of one embodiment of the present disclosure may be applied is shown.
As shown in fig. 3, the system architecture may include terminal devices 301, 302, 303, a network 304, and a server 305. The network 304 serves as a medium for providing communication links between the terminal devices 301, 302, 303 and the server 305. Network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few. The terminal devices and servers described above may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., Ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The terminal devices 301, 302, 303 may interact with a server 305 over a network 304 to receive or send messages or the like. The terminal devices 301, 302, 303 may have various client applications installed thereon, such as a video distribution application, a search-type application, and a news-information-type application.
The terminal devices 301, 302, 303 may be hardware or software. When the terminal devices 301, 302, 303 are hardware, they may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like. When the terminal device 301, 302, 303 is software, it can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 305 may be a server capable of providing various services, for example, receiving an information interaction request sent by the terminal devices 301, 302, 303, performing analysis processing on the information interaction request, and sending an analysis processing result (for example, information interaction data corresponding to the information interaction request) to the terminal devices 301, 302, 303.
It should be noted that the information interaction method provided by the embodiment of the present disclosure may be executed by a server or a terminal device, and accordingly, the information interaction apparatus may be disposed in the server or the terminal device.
It should be understood that the number of terminal devices, networks, and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to fig. 4, shown is a schematic diagram of an electronic device (e.g., a server or a terminal device of fig. 3) suitable for use in implementing embodiments of the present disclosure. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, the electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 409, or from the storage device 408, or from the ROM 402. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 401.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, 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), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving an information interaction request sent by an inviting user, determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and sending an information interaction request to the paired users so that the inviting user and the paired users perform information interaction. The matching strategy selection scheme is determined in advance based on the following steps: determining a pairing strategy corresponding to each first user according to the received information interaction requests sent by the plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to the pairing strategy corresponding to the first user, and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code 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).
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 disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, 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.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. For example, the first determining module may be further described as a module that determines the pairing policy corresponding to each first user according to the received information interaction requests sent by the plurality of first users.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, 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), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (11)
1. An information interaction method, comprising:
in response to receiving an information interaction request sent by an inviting user, determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme;
sending the information interaction request to the paired user so as to enable the inviting user and the paired user to perform information interaction; wherein
The pairing strategy selection scheme is determined in advance based on the following steps:
determining a pairing strategy corresponding to each first user according to received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.
2. The method of claim 1, wherein determining the user group corresponding to the first user and the second user corresponding to the first user comprises:
determining whether the first user has a first historical packet record, an
In response to determining that the first user has a first historical group record, determining a user group corresponding to the first user based on the first historical group record of the first user; and
and judging whether the second user has a second historical grouping record or not, and determining a user group corresponding to the second user according to a judgment result.
3. The method according to claim 2, wherein the determining whether the second user has the second historical packet record and determining the user group corresponding to the second user according to the determination result comprises:
and in response to determining that the second user does not have a second historical grouping record, dividing the second user into user groups corresponding to the first user, and determining the user group corresponding to the first user as the user group corresponding to the second user.
4. The method according to claim 3, wherein the determining whether the second user has a second historical packet record and determining a user group corresponding to the second user according to the determination result further comprises:
in response to determining that the second user has a second historical grouping record, determining a user group corresponding to the second user based on the second historical grouping record of the second user; and
the respectively counting parameter values of preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group comprises:
judging whether the user group corresponding to the second user is the same as the user group corresponding to the first user, and
and in response to the fact that the user group corresponding to the second user is the same as the user group corresponding to the first user, counting the obtained parameter values corresponding to the preset statistical parameters to the user group corresponding to the first user.
5. The method according to claim 4, wherein the separately counting parameter values of preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group further comprises:
in response to determining that the user group corresponding to the second user is different from the user group corresponding to the first user, determining whether the first user and the second user have historical information interaction data, an
And in response to the fact that the first user and the second user do not have historical information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters to a user group corresponding to the first user.
6. The method according to claim 5, wherein the separately counting parameter values of preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group further comprises:
in response to determining that the first user and the second user have historical information interaction data, determining whether the historical information interaction data is consistent with current information interaction data, and
and in response to the fact that the historical information interaction data are consistent with the current information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters to a user group corresponding to the first user.
7. The method according to claim 6, wherein the separately counting parameter values of preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group further comprises:
and in response to the fact that the historical information interaction data are inconsistent with the current information interaction data, not counting the parameter values corresponding to the obtained preset statistical parameters.
8. The method of claim 2, wherein determining the user group corresponding to the first user and the second user corresponding to the first user further comprises:
in response to determining that the first user does not have the first historical packet record, hash-grouping the first user; and determining a user group corresponding to the first user according to the Hash grouping result.
9. An information interaction apparatus, comprising:
the determining module is used for responding to the received information interaction request sent by the inviting user and determining the pairing user corresponding to the inviting user based on the target pairing strategy selected by the predetermined pairing strategy selecting scheme;
the sending module is used for sending the information interaction request to the paired users so as to enable the inviting user to perform information interaction with the paired users; wherein
The pairing strategy selection scheme is determined in advance based on the following steps:
determining a pairing strategy corresponding to each first user according to received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the first user and the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.
10. An electronic device, comprising:
one or more processors;
storage means having one or more programs stored thereon which, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-8.
11. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-8.
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