CN113536142B - Social account recommendation method and device, electronic equipment and storage medium - Google Patents
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Abstract
The disclosure relates to a social account recommendation method, a social account recommendation device, electronic equipment and a storage medium, and belongs to the technical field of Internet, wherein the method comprises the following steps: when the trigger condition for recommending the social account to the first social account is met, the account identification of the first social account is acquired, the social relation data of the first social account is acquired according to the account identification, the social relation data at least comprise first social relation data with a search relation with the first social account in a designated application, a second social account with the search relation with the first social account in the designated application is determined according to the first social relation data, and the second social account is recommended to the first social account, wherein the probability that the second social account with the search relation with the first social account in the designated application indicates that the second social account and the first social account are known is higher, so that the accuracy of recommending the social account to the first social account can be improved.
Description
Technical Field
The disclosure relates to the technical field of internet, in particular to a social account recommendation method, a social account recommendation device, electronic equipment and a storage medium.
Background
In the related art, a social account is recommended to a current social account based on one-dimensional information acquired by an application. Taking the example of recommending a social account to social account p in application 1. One scheme is to match the address book of the obtained social account p with all the social accounts in the application 1, find the social account using the application 1 in the address book of the social account p, and recommend the social accounts to the social account p, however, the social account p is not necessarily related to the social accounts in the address book, and because the probability of interaction between the social account p and the person with the unrelated relationship is not high, the accuracy of recommending the social account to the social account p is not high. Another solution is to determine all the social accounts of the application 1 and the social accounts of which the geographic positions of the social accounts p are within a set range, recommend the social accounts to the social accounts p, but in fact, many social accounts in the same geographic position are social accounts of strangers, and the probability of interaction between the social accounts p and the strangers is not high, so that the accuracy of recommending the social accounts to the social accounts p is not high.
Disclosure of Invention
The disclosure provides a social account recommending method, a social account recommending device, electronic equipment and a storage medium, which are used for at least solving the problem that the accuracy rate of recommending social accounts to the social accounts is low in the related technology. The technical scheme of the present disclosure is as follows:
According to a first aspect of an embodiment of the present disclosure, there is provided a social account recommendation method, including:
when determining that a triggering condition for recommending a social account to a first social account is met, acquiring an account identifier of the first social account;
acquiring social relation data of the first social account according to the account identifier, wherein the social relation data at least comprises first social relation data which have a search relation with the first social account in a designated application;
determining a second social account having a search relationship with the first social account in the designated application according to the first social relationship data;
recommending the second social account to the first social account.
In one possible implementation, if the social relationship data further includes second social relationship data having a relationship of interest with the first social account in the specified application, further including:
before determining a second social account having a search relationship with the first social account in the designated application according to the first social relationship data, determining that the number of social accounts having a passive focus relationship with the first social account in the designated application is below a first threshold according to the second social relationship data.
In one possible implementation, determining, from the first social relationship data, a second social account having a search relationship with the first social account in the specified application includes:
determining a second social account having a passive search relationship with the first social account in the designated application according to the first social relationship data; or alternatively
And determining a second social account with a passive searching relation and an active searching relation with the first social account in the appointed application according to the first social relation data.
In one possible implementation, recommending the second social account to the first social account includes:
sorting the second social accounts according to the configured sorting rules;
recommending the second social account to the first social account according to the sorting result.
In one possible implementation, the ranking the second social account according to the configured ranking rule includes:
and sequencing the second social accounts according to the time sequence of establishing search relation with the first social account and/or the social relation value between the second social account and the first social account, wherein the social relation value between each second social account and the first social account is used for representing the probability that the first social account and the second social account establish active attention relation in the appointed application.
In one possible embodiment, the method further comprises:
before recommending the second social account to the first social account, rejecting the second social account according to the set social account rejection condition.
In a possible implementation manner, the attention relationship further includes an active attention relationship, and the removing processing for the second social account according to the set social account removing condition includes:
and according to the rejection condition that the time for establishing the passive search relation with the first social account is within a target time period, the second social account is subjected to rejection processing, wherein the establishment frequency of the passive search relation of the first social account within the target time period is higher than a set frequency.
According to a second aspect of embodiments of the present disclosure, there is provided a social account recommending apparatus, including:
the monitoring module is configured to acquire an account identifier of a first social account when determining that a triggering condition for recommending the social account to the first social account is met;
an acquisition module configured to perform acquiring social relationship data of the first social account according to the account identification, the social relationship data including at least first social relationship data having a search relationship with the first social account in a specified application;
A determining module configured to perform determining a second social account having a search relationship with the first social account in the specified application according to the first social relationship data;
and a recommendation module configured to perform a recommendation of the second social account to the first social account.
In one possible implementation, if the social relationship data further includes second social relationship data having a relationship of interest with the first social account in the specified application, then further including:
a determination module configured to determine, from the first social relationship data, that a number of social accounts having a passive focus relationship with the first social account in the specified application is below a first threshold before determining, from the first social relationship data, a second social account having a search relationship with the first social account in the specified application.
In one possible implementation, the determining module is specifically configured to perform:
determining a second social account having a passive search relationship with the first social account in the designated application according to the first social relationship data; or alternatively
And determining a second social account with a passive searching relation and an active searching relation with the first social account in the appointed application according to the first social relation data.
In one possible implementation, the recommendation module includes:
a ranking unit configured to perform ranking of the second social accounts according to the configured ranking rule;
and the recommending unit is configured to execute the recommendation of the second social account to the first social account according to the sorting result.
In one possible implementation, the sorting unit is specifically configured to perform:
and sequencing the second social accounts according to the time sequence of establishing search relation with the first social account and/or the social relation value between the second social account and the first social account, wherein the social relation value between each second social account and the first social account is used for representing the probability that the first social account and the second social account establish active attention relation in the appointed application.
In one possible embodiment, the method further comprises:
and the rejecting module is configured to execute rejecting processing on the second social account according to the set social account rejecting condition before recommending the second social account to the first social account.
In one possible implementation, the culling module is specifically configured to perform:
and according to the rejection condition that the time for establishing the passive search relation with the first social account is within a target time period, the second social account is subjected to rejection processing, wherein the establishment frequency of the passive search relation of the first social account within the target time period is higher than a set frequency.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the social account recommendation methods described above.
According to a fourth aspect of embodiments of the present disclosure, there is provided a storage medium, which when executed by a processor of an electronic device, is capable of performing any one of the social account recommendation methods described above.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product, which when executed by a computer, can cause the computer to perform any of the social account recommendation methods described above.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
when the trigger condition for recommending the social account to the first social account is met, the account identification of the first social account is obtained, the social relation data of the first social account is obtained according to the account identification, the social relation data at least comprise first social relation data with searching relation with the first social account in a designated application, a second social account with searching relation with the first social account in the designated application is determined according to the first social relation data, and then the second social account is recommended to the first social account, wherein the probability that the second social account with searching relation with the first social account in the designated application indicates that the second social account is higher than the first social account is known is obtained, and the second social account with searching relation with the first social account is recommended to the first social account, namely the social account with higher probability of knowing the first social account is recommended to the first social account.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
FIG. 1 is an application scenario diagram illustrating a social account recommendation method according to an example embodiment.
FIG. 2 is a flow chart illustrating a social account recommendation method, according to an example embodiment.
FIG. 3 is a flowchart illustrating yet another social account recommendation method, according to an example embodiment.
FIG. 4 is a flowchart illustrating yet another social account recommendation method, according to an example embodiment.
FIG. 5 is a block diagram illustrating a social account recommender in accordance with an exemplary embodiment.
FIG. 6 is a schematic diagram of an electronic device for implementing a social account recommendation method, according to an example embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
Fig. 1 is an application scenario diagram of a social account recommendation method according to an exemplary embodiment, including a terminal 11 and a server 12 connected to the terminal 11 through a communication network, wherein:
the terminal 11, such as a personal computer, an iPad, a mobile phone, etc., and the terminal 11 is provided with a designated application, various functions in the designated application can be used when the first social account enters the designated application, and implementation of the functions may depend on interaction between the terminal 11 and the server 12, that is, the first social account may send various service requests and/or service messages to the server 12 through the terminal 11 during use of the designated application.
The server 12 may monitor various service requests and/or service messages sent by the terminal 11 during the application of the specified application, and when determining that trigger conditions for recommending the social account to the first social account are satisfied, if the set service requests and/or service messages are monitored, may acquire an account identifier of the first social account, and acquire social relationship data of the first social account according to the account identifier, where the social relationship data at least includes first social relationship data having a search relationship with the first social account in the specified application, and determine, according to the first social relationship data, a second social account having a search relationship with the first social account in the specified application, so as to recommend the second social account to the first social account.
In the embodiment of the disclosure, the search relationship is established through a search operation performed by the social account at a search portal provided by the designated application, and the second social account and the first social account have search relationships in the designated application to indicate that the second social account searches the first social account at the search portal provided by the designated application, the recognition probability of the second social account and the first social account is relatively high, and the second social account having the search relationship with the first social account is recommended to the first social account, namely, the social account with relatively high recognition probability of the first social account is recommended to the first social account, so that the recommendation accuracy of the social account can be improved.
FIG. 2 is a flowchart illustrating a social account recommendation method for use in the server 12, as shown in FIG. 1, according to an exemplary embodiment, the method comprising the following steps.
S201: and when determining that the triggering condition for recommending the social account to the first social account is met, acquiring the account identification of the first social account.
In practical applications, the first social account may send various service requests and/or service messages to the server through the terminal during the process of using the designated application, so the server may determine whether the triggering condition for recommending the social account to the first social account is satisfied according to the received service requests and/or service messages.
For example, the server uses the set service request and/or service message as a trigger condition for recommending the social account to the first social account, and then when receiving the set service request or service message, the server can determine that the trigger condition for recommending the social account to the first social account is satisfied, and further can acquire the account identifier of the first social account from the set service request or service message.
S202: and acquiring social relation data of the first social account according to the account identification, wherein the social relation data at least comprises the first social relation data which has a search relation with the first social account in the appointed application.
Generally, a search function is provided in a social application, and a part of the search function is used for helping a social account to find the social account, scene data of the social account search social account in a designated application is collected, and a corresponding relation between the social account initiating the search and the clicked social account in a search result is constructed, so that search relation data in the designated application can be obtained. The search behavior may reflect to some extent the recognition probability between the social account from which the search was initiated and the social account being searched, and thus, the search relationship data may be considered a type of social relationship data.
S203: a second social account having a search relationship with the first social account in the designated application is determined based on the first social relationship data.
In specific implementation, a second social account with a passive search relationship with the first social account in the designated application can be determined according to the first social relationship data, and a second social account with a passive search relationship and an active search relationship with the first social account in the designated application can be determined according to the first social relationship data, wherein the first social account is a searched social account in the passive search relationship; the first social account in the active search relationship is the social account that actively initiates the search.
S204: recommending the determined second social account to the first social account.
In particular implementations, the determined second social account may be recommended to the first social account according to the flow of FIG. 3, which includes the following steps.
S301a: and sequencing the second social account according to the configured sequencing rule.
In implementation, the second social accounts may be ordered according to a time sequence of establishing a search relationship with the first social account and/or a social relationship value between the second social accounts and the first social account, where a time of establishing a search relationship between each second social account and the first social account may be obtained from the first social relationship data, and the social relationship value between each second social account and the first social account is used to characterize a probability that the first social account and the second social account establish an active attention relationship in a specific application, that is, a probability that the first social account focuses on the second social account in the specific application.
In one possible implementation, the second social accounts are ranked in a chronological order in which search relationships are established with the first social accounts.
For example, the second social accounts may be ranked according to a rule that the later the time a search relationship is established with the first social account, the more top.
In another possible implementation, the second social accounts are ranked according to a social relationship value with the first social account.
For example, for each second social account, a social account having an active attention relationship with both the first social account and the second social account in the designated application, that is, a social account having an active attention relationship with both the first social account and the second social account in the designated application, may be determined according to the second social relationship data of the second social account in the designated application and the second social relationship data of the first social account in the designated application, and the social relationship value of the second social account and the first social account may be determined according to the number of social accounts having an active attention relationship with both the first social account and the second social account in the designated application. Then, the second social accounts are ranked according to rules that rank higher the social relationship value with the first social account.
In yet another possible embodiment, the second social accounts are ranked in order of time of establishing the search relationship with the first social account and social relationship value with the first social account.
For example, scoring each second social account according to a time sequence of establishing a search relationship with the first social account to obtain a first score of each second social account, scoring each second social account according to a social relationship value with the first social account to obtain a second score of each second social account, and determining a final score of each second social account according to the following formula:
final score of the second social account = α + (1- α) first score of the second social account × second score of the second social account;
wherein alpha is the weight of the first score of the preset second social account, and alpha is more than or equal to 0 and less than or equal to 1.
S302a: and recommending the second social account to the first social account according to the sorting result.
For example, a top-ranked preset number of second social accounts are recommended to the first social accounts according to the ranking result.
FIG. 4 is a flowchart illustrating yet another social account recommendation method, as shown in FIG. 1, for use in the server 12, according to an exemplary embodiment, the flowchart including the following steps.
S401: and when determining that the triggering condition for recommending the social account to the first social account is met, acquiring the account identification of the first social account.
S402: and acquiring social relation data of the first social account according to the account identification, wherein the social relation data comprises the first social relation data and the second social relation data.
The first social relationship data refers to social relationship data with a search relationship with the first social account in the appointed application; the second social relationship data refers to social relationship data having a relationship of interest with the first social account in the specified application.
S403: judging whether the number of the social accounts with the passive attention relationship with the first social account in the appointed application is lower than a first threshold value according to the second social relationship data, if not, entering S404; if yes, the process advances to S405.
Considering that in the search scenario, a part of the requirements are social accounts with large search names V and the like, and the searched frequency of the social accounts is high, the social accounts initiating the search to the social accounts are generally not equal interpersonal relationship with the social accounts, and even if the social accounts with the search relationship are recommended to the social accounts, the accuracy of the recommendation is low, so that the social accounts can be filtered, namely the social accounts are not recommended to the social accounts.
In practical applications, the probability that the number of social accounts having a passive attention relationship with the first social account in the designated application (which may be expressed as the number of fans of the first social account in the designated application) and the first social account are social accounts of name V or the like is generally positively correlated, and therefore, whether the first social account is a social account of name V or the like may be determined according to the number of social accounts having a passive attention relationship with the first social account in the designated application.
For example, if the number of social accounts having a passive focus relationship with the first social account in the designated application is below a first threshold, it may be determined that the first social account is not a social account of a name big V or the like; if the number of social accounts having a passive focus relationship with the first social account in the designated application is not below the first threshold, it may be determined that the first social account is a social account of a name big V or the like.
S404: the present flow is ended.
That is, the process of recommending the social account to the first social account is ended, and the social account is not recommended to the first social account.
S405: a second social account having a search relationship with the first social account in the designated application is determined based on the first social relationship data.
In specific implementation, a second social account with a passive search relationship with the first social account in the designated application can be determined according to the first social relationship data, and a second social account with a passive search relationship and an active search relationship with the first social account in the designated application can be determined according to the first social relationship data, wherein the first social account is a searched social account in the passive search relationship; the first social account in the active search relationship is the social account that actively initiates the search.
S406: and carrying out rejection processing on the second social account according to the set social account rejection conditions.
In practical applications, the searched frequency of some social accounts may be increased suddenly due to some special events, so that the social accounts become short-term popular social accounts, such as social accounts of antipesthetic heroes, riots and the like, when the first social account is the short-term popular social account, the social account having a passive search relationship with the first social account is not recommended indiscriminately, and the first social account may be plagued, at this time, the second social account appearing during the period that the first social account becomes the popular social account may be removed (i.e. deleted), so that the accuracy and user experience of recommending the social account to the first social account are improved.
Considering that the short-term hot social account is only searched with a relatively high frequency in a period of time, a period of time when the first social account becomes the short-term hot social account can be identified according to the establishment frequency of the passive search relation of the first social account (namely the searched frequency of the first social account), and then the second social account which establishes the passive search relation with the first social account in the period of time is removed.
In particular implementations, the frequency of searching for the first social account may be counted periodically (e.g., daily), a period of the first social account with a frequency higher than the set frequency is determined as a target period (i.e., a period of time in which the first social account is considered to be a trending social account, the period of time in which the first social account is searched for with a frequency higher than the set frequency), and then the second social account that establishes a passive search relationship with the first social account within the target period of time is removed.
In addition, there may be a social account that has an active attention relationship with the first social account in the designated application in the determined second social account, that is, the social account that the first social account has focused in the designated application, and this part of social accounts does not need to be recommended to the first social account, so that the social account may also be rejected.
S407: recommending the second social account after the rejection processing to the first social account.
The implementation of this step can be referred to as S204, and will not be described herein.
Embodiments of the present disclosure are described below with reference to designating an application as a short video application.
Generally, short video applications all have a search function, and part of the search function is used for helping a social account find a social account, the social account is divided into a large-V social account of a finder and a large-V social account of a finder, according to the search behavior of the social account in the short video application, the requirement of the large-V social account of the finder and the like is eliminated through a certain method, search relation data of the finder is identified, and the search relation data are applied to a social account recommendation scene, so that the social account is helped to find social accounts of more acquaintances.
In the implementation, the search logs of the short video application can be collected first, scene data of the search person are filtered from the search logs, and search relation data among social accounts is established according to the scene data, wherein the search relation data is the first social relation data.
Subsequently, when determining that a triggering condition for recommending the social account to the first social account is met, acquiring an account identifier of the first social account, and acquiring social relationship data of the first social account according to the account identifier, wherein the social relationship data of the first social account comprises first social relationship data with a search relationship with the first social account in a short video application and second social relationship data with a focus relationship with the first social account in the short video application, the search relationship comprises an active search relationship and a passive search relationship, and the focus relationship comprises a passive focus relationship and an active focus relationship.
Assume that a social account having a passive focus relationship with a first social account in a short video application is a fan of the first social account and a social account having an active focus relationship with the first social account is a friend of the first social account.
Then, after the social relation data of the first social account is obtained, whether the number of the fan of the first social account in the short video application is lower than a first threshold value or not can be judged according to the second social relation data of the first social account, if not, the first social account is determined to be the social account with the name of big V or the like, and the social account is not recommended to the first social account; if so, determining that the first social account is not a social account with a name of V or the like, further determining a second social account with a search relation with the first social account in the short video application according to the first social relation data of the first social account, and supposing that the second social account with a passive search relation with the first social account in the short video application is determined, namely searching the second social account of the first social account in the short video application.
Further, social accounts of friends which are already first social accounts in the determined second social accounts can be removed, the searched frequency of each day of the first social accounts can be counted, and a time period in which the searched frequency of the first social accounts is higher than the set frequency is determined as a target time period in which the first social accounts become popular social accounts. Assuming that the target period of time for which the first social account becomes a trending social account is the past week, then social accounts that have searched for the first social account within the past week may be removed from the determined second social account; if the frequency of the first social account being searched every day is not higher than the set frequency, the first social account is not a popular social account for a short period, and at this time, the social account in the second social account is not required to be removed.
And recommending the second social account after the rejection processing to the first social account.
For example, the second social accounts after the rejection processing are ordered according to a rule that the later the search time of the first social account is, the earlier the search time is, and then the first social accounts are recommended to a preset number of the first social accounts.
When the method provided in the embodiments of the present disclosure is implemented in software or hardware or a combination of software and hardware, a plurality of functional modules may be included in the electronic device, and each functional module may include software, hardware, or a combination thereof.
FIG. 5 is a block diagram illustrating a social account recommending apparatus, including a monitoring module 501, an acquisition module 502, a determination module 503, and a recommending module 504, according to an example embodiment.
A monitoring module 501 configured to obtain an account identifier of a first social account when determining that a triggering condition for recommending the social account to the first social account is satisfied;
an obtaining module 502 configured to perform obtaining social relationship data of the first social account according to the account identifier, where the social relationship data includes at least first social relationship data having a search relationship with the first social account in a specified application;
A determining module 503 configured to perform determining, according to the first social relationship data, a second social account having a search relationship with the first social account in the specified application;
a recommendation module 504 is configured to perform a recommendation of the second social account to the first social account.
In one possible implementation, if the social relationship data further includes second social relationship data having a relationship of interest with the first social account in the specified application, then further including:
a determining module 505 is configured to determine, according to the first social relationship data, that a number of social accounts having a passive focus relationship with the first social account in the specified application is below a first threshold before determining, according to the second social relationship data, a second social account having a search relationship with the first social account in the specified application.
In one possible implementation, the determining module 503 is specifically configured to perform:
determining a second social account having a passive search relationship with the first social account in the designated application according to the first social relationship data; or alternatively
And determining a second social account with a passive searching relation and an active searching relation with the first social account in the appointed application according to the first social relation data.
In one possible implementation, the recommendation module 504 includes:
a ranking unit 5041 configured to perform ranking of the second social accounts according to configured ranking rules;
a recommending unit 5042 configured to perform recommending the second social account to the first social account according to the sorting result.
In one possible implementation, the sorting unit 5041 is specifically configured to perform:
and sequencing the second social accounts according to the time sequence of establishing search relation with the first social account and/or the social relation value between the second social account and the first social account, wherein the social relation value between each second social account and the first social account is used for representing the probability that the first social account and the second social account establish active attention relation in the appointed application.
In one possible embodiment, the method further comprises:
and the rejection module 506 is configured to perform rejection processing on the second social account according to a set social account rejection condition before recommending the second social account to the first social account.
In one possible implementation, the culling module 506 is specifically configured to perform:
and according to the rejection condition that the time for establishing the passive search relation with the first social account is within a target time period, the second social account is subjected to rejection processing, wherein the establishment frequency of the passive search relation of the first social account within the target time period is higher than a set frequency.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
The division of the modules in the embodiments of the present disclosure is schematically shown as merely one logic function division, and there may be another division manner when actually implemented, and in addition, each functional module in the embodiments of the present disclosure may be integrated in one processor, or may exist separately and physically, or two or more modules may be integrated in one module. The coupling of the individual modules to each other may be achieved by means of interfaces which are typically electrical communication interfaces, but it is not excluded that they may be mechanical interfaces or other forms of interfaces. Thus, the modules illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed in different locations on the same or different devices. The integrated modules may be implemented in hardware or in software functional modules.
Fig. 6 is a schematic diagram of an electronic device including a transceiver 601 and physical devices such as a processor 602 according to an exemplary embodiment, where the processor 602 may be a central processing unit (central processing unit, CPU), microprocessor, application specific integrated circuit, programmable logic circuit, large scale integrated circuit, or digital processing unit, etc. The transceiver 601 is used for data transmission and reception between the electronic device and other devices.
The electronic device may further comprise a memory 603 for storing software instructions to be executed by the processor 602, and of course some other data required by the electronic device, such as identification information of the electronic device, encryption information of the electronic device, user data, etc. The memory 603 may be a volatile memory (RAM) such as a random-access memory (RAM); the memory 603 may also be a non-volatile memory (ROM), such as a read-only memory (ROM), a flash memory (HDD) or a Solid State Drive (SSD), or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto. The memory 603 may be a combination of the above memories.
The specific connection medium between the processor 602, the memory 603, and the transceiver 601 is not limited in the embodiments of the present disclosure. The embodiment of the present disclosure is illustrated in fig. 6 by way of example only, in which the memory 603, the processor 602, and the transceiver 601 are connected by a bus 604, which is shown in bold lines in fig. 6, and the connection between other components is illustrated by way of illustration only and not by way of limitation. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.
The processor 602 may be dedicated hardware or a processor running software, and when the processor 602 may run software, the processor 602 reads the software instructions stored in the memory 603 and executes the social account recommendation method referred to in the foregoing embodiment under the driving of the software instructions.
The disclosed embodiments also provide a storage medium, which when executed by a processor of an electronic device, is capable of performing the social account recommendation method referred to in the foregoing embodiments.
In some possible implementations, aspects of the social account recommendation method provided by the present disclosure may also be implemented in the form of a program product comprising program code for causing an electronic device to perform the social account recommendation method referred to in the foregoing embodiments when the program product is run on the electronic device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The program product for social account recommendation in embodiments of the present disclosure may employ a portable compact disk read only memory (CD-ROM) and include program code and may run on a computing device. However, the program product of the present disclosure is not limited thereto, and in this document, a 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.
The readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like 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 computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the units described above may be embodied in one unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one unit described above may be further divided into a plurality of units to be embodied.
Furthermore, although the operations of the methods of the present disclosure are depicted in the drawings in a particular order, this is not required to or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
It will be apparent to those skilled in the art that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present disclosure have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the disclosure.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present disclosure without departing from the spirit or scope of the disclosure. Thus, the present disclosure is intended to include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (14)
1. A social account recommendation method, comprising:
When determining that a triggering condition for recommending a social account to a first social account is met, acquiring an account identifier of the first social account;
acquiring social relation data of the first social account according to the account identifier, wherein the social relation data at least comprises first social relation data which have a search relation with the first social account in a designated application;
determining a second social account having a search relationship with the first social account in the designated application according to the first social relationship data;
recommending the second social account to the first social account;
if the social relationship data further includes second social relationship data having a relationship of interest with the first social account in the specified application, further comprising:
before determining a second social account having a search relationship with the first social account in the designated application according to the first social relationship data, determining that the number of social accounts having a passive focus relationship with the first social account in the designated application is below a first threshold according to the second social relationship data.
2. The method of claim 1, wherein determining, from the first social-relationship data, a second social account having a search relationship with the first social account in the specified application comprises:
Determining a second social account having a passive search relationship with the first social account in the designated application according to the first social relationship data; or alternatively
And determining a second social account with a passive searching relation and an active searching relation with the first social account in the appointed application according to the first social relation data.
3. The method of claim 1, wherein recommending the second social account to the first social account comprises:
sorting the second social accounts according to the configured sorting rules;
recommending the second social account to the first social account according to the sorting result.
4. The method of claim 3, wherein ranking the second social account according to the configured ranking rule comprises:
and sequencing the second social accounts according to the time sequence of establishing search relation with the first social account and/or the social relation value between the second social account and the first social account, wherein the social relation value between each second social account and the first social account is used for representing the probability that the first social account and the second social account establish active attention relation in the appointed application.
5. The method of any one of claims 1-4, further comprising:
before recommending the second social account to the first social account, rejecting the second social account according to the set social account rejection condition.
6. The method of claim 5, wherein the performing the rejection process on the second social account according to the set social account rejection condition comprises:
and according to the rejection condition that the time for establishing the passive search relation with the first social account is within a target time period, the second social account is subjected to rejection processing, wherein the establishment frequency of the passive search relation of the first social account within the target time period is higher than a set frequency.
7. A social account recommender, comprising:
the monitoring module is configured to acquire an account identifier of a first social account when determining that a triggering condition for recommending the social account to the first social account is met;
an acquisition module configured to perform acquiring social relationship data of the first social account according to the account identification, the social relationship data including at least first social relationship data having a search relationship with the first social account in a specified application;
A determining module configured to perform determining a second social account having a search relationship with the first social account in the specified application according to the first social relationship data;
a recommendation module configured to perform a recommendation of the second social account to the first social account;
if the social relationship data further includes second social relationship data having a relationship of interest with the first social account in the specified application, further comprising:
a determination module configured to determine, from the first social relationship data, that a number of social accounts having a passive focus relationship with the first social account in the specified application is below a first threshold before determining, from the first social relationship data, a second social account having a search relationship with the first social account in the specified application.
8. The apparatus of claim 7, wherein the determination module is specifically configured to perform:
determining a second social account having a passive search relationship with the first social account in the designated application according to the first social relationship data; or alternatively
And determining a second social account with a passive searching relation and an active searching relation with the first social account in the appointed application according to the first social relation data.
9. The apparatus of claim 7, wherein the recommendation module comprises:
a ranking unit configured to perform ranking of the second social accounts according to the configured ranking rule;
and the recommending unit is configured to execute the recommendation of the second social account to the first social account according to the sorting result.
10. The apparatus according to claim 9, wherein the ordering unit is specifically configured to perform:
and sequencing the second social accounts according to the time sequence of establishing search relation with the first social account and/or the social relation value between the second social account and the first social account, wherein the social relation value between each second social account and the first social account is used for representing the probability that the first social account and the second social account establish active attention relation in the appointed application.
11. The apparatus according to any one of claims 7-10, further comprising:
and the rejecting module is configured to execute rejecting processing on the second social account according to the set social account rejecting condition before recommending the second social account to the first social account.
12. The apparatus of claim 11, wherein the culling module is specifically configured to perform:
and according to the rejection condition that the time for establishing the passive search relation with the first social account is within a target time period, the second social account is subjected to rejection processing, wherein the establishment frequency of the passive search relation of the first social account within the target time period is higher than a set frequency.
13. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:
the memory stores instructions executable by the at least one processor, which when executed by the at least one processor is capable of performing the social account recommendation method of any of claims 1-6.
14. A storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the social account recommendation method of any one of claims 1-6.
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