CN117235378A - Information processing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses an information processing method, an information processing device, an electronic device and a storage medium, wherein the method comprises the following steps: acquiring first interaction data of target information, wherein the first interaction data are used for representing interaction frequency of the target information; determining second interaction data of the target information based on the information set; the second interaction data is used for representing interaction characteristics of the target information relative to the information set; determining target interaction data of the target information based on the first interaction data and the second interaction data; determining whether the target information can be categorized in the information set based on the target interaction data.
Description
Technical Field
The present application relates to the field of computer information processing technologies, and in particular, to an information processing method and apparatus, an electronic device, and a storage medium.
Background
More and more network information is available, but the network information just released has no or low interactive data in the initial stage, so that when the characteristic data of the network information is determined according to the interactive data, larger errors are easy to occur, and inaccurate prediction is caused.
Disclosure of Invention
In a first aspect, an embodiment of the present application provides an information processing method, including:
acquiring first interaction data of target information, wherein the first interaction data are used for representing interaction frequency of the target information;
determining second interaction data of the target information based on the information set; the second interaction data is used for representing interaction characteristics of the target information relative to the information set;
determining target interaction data of the target information based on the first interaction data and the second interaction data; determining whether the target information can be categorized in the information set based on the target interaction data.
In some embodiments, determining second interaction data for the target information based on the set of information includes:
determining an association relationship between the target information and the information set;
and determining the second interaction data according to the association relation.
In some embodiments, determining an association between the target information and the set of information comprises:
acquiring first basic data of the target information and second basic data of the information set;
and determining the association relation according to the first basic data and the second basic data.
In some embodiments, determining the second interaction data according to the association relationship includes:
acquiring interactive average data of the information set;
and obtaining the second interaction data based on the association relation and the interaction average data.
In some embodiments, determining whether the target information can be categorized in the information set based on the target interaction data comprises:
obtaining first characteristic data of the target information based on the target interaction data and the first basic data;
determining whether the target information meets the condition of the information set based on the first characteristic data.
In some embodiments, determining target interaction data for the target information based on the first interaction data and the second data interaction comprises:
acquiring the release time of the target information;
and combining the first interaction data and the second interaction data by using a preset algorithm based on the release time length to obtain the target interaction data.
In some embodiments, the method further comprises:
obtaining interaction interval time based on the first interaction data;
acquiring interaction average interval time of the information set, and acquiring an attenuation coefficient based on the interaction interval time and the interaction average interval time;
and updating the target interaction data according to the attenuation coefficient so as to update the first characteristic data based on the updated target interaction data.
In a second aspect, an embodiment of the present application further provides an information processing apparatus, including:
the acquisition module is configured to acquire first interaction data of target information, wherein the first interaction data is used for representing interaction frequency of the target information;
a determining module configured to determine second interaction data of the target information based on the information set; the second interaction data is used for representing interaction characteristics of the target information relative to the information set;
a data processing module configured to determine target interaction data of the target information based on the first interaction data and the second interaction data; determining whether the target information can be categorized in the information set based on the target interaction data.
In a third aspect, an embodiment of the present application further provides an electronic device, where the electronic device includes at least a memory, a processor, and a bus, where the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory through the bus, and the machine-readable instructions are executed by the processor, to implement any of the method steps in the information processing method provided in any of the foregoing embodiments.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the method steps of the information processing method provided in any of the embodiments above.
According to the method and the device, the first interactive data of the target information and the second interactive data of the target information relative to the information set are obtained, the target interactive data of the target information is determined according to the first interactive data and the second interactive data, whether the target information can be classified into the information set is determined based on the target interactive data, and therefore the target information meeting the information set conditions can be rapidly classified into the information set based on the interaction frequency of the target information and the interaction characteristics relative to the information set.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the drawings that are used in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments described in the present application, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of an information processing method provided by the present application;
fig. 2 is a schematic diagram showing the structure of an information processing apparatus provided by the present application;
fig. 3 shows a schematic structural diagram of an electronic device provided by the application.
Detailed Description
Various aspects and features of the present application are described herein with reference to the accompanying drawings.
It should be understood that various modifications may be made to the embodiments of the application herein. Therefore, the above description should not be taken as limiting, but merely as exemplification of the embodiments. Other modifications within the scope and spirit of the application will occur to persons of ordinary skill in the art.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and, together with a general description of the application given above, and the detailed description of the embodiments given below, serve to explain the principles of the application.
These and other characteristics of the application will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.
It is also to be understood that, although the application has been described with reference to some specific examples, a person skilled in the art will certainly be able to achieve many other equivalent forms of the application, having the characteristics as set forth in the claims and hence all coming within the field of protection defined thereby.
The above and other aspects, features and advantages of the present application will become more apparent in light of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present application will be described hereinafter with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely exemplary of the application, which can be embodied in various forms. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the application in unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not intended to be limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present application in virtually any appropriately detailed structure.
The specification may use the word "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the application.
The embodiment of the application provides an information processing method which can be applied to electronic equipment such as a computer terminal and the like and is executed by a processor of the electronic equipment.
Fig. 1 is a flowchart of an information processing method according to an embodiment of the present application. As shown in fig. 1, the specific steps of the information processing method according to the embodiment of the present application include S100 to S300.
S100, first interaction data of target information are obtained, wherein the first interaction data are used for representing interaction frequency of the target information.
In this step, the target information may be newly released network information through the internet, for example, newly released news, platform push, public number articles, etc., which may be available for other non-releasing users to view or play through the internet. The first interactive data represents frequency information of interactive operation of a non-release user aiming at target information. The interaction operation includes an interaction operation that a non-publishing user performs information interaction on the target information at the current moment, for example, operations such as browsing, praying, collecting, commenting, sharing and the like can be performed, and the attention degree of each user on the target information can be reflected. In some specific applications, the first interactive data may be obtained by counting the frequency information of each interactive operation with respect to the target information, and performing corresponding scoring based on each interactive operation and the frequency.
It can be understood that when the target information in the embodiment is in a newly released state, the user does not perform interactive operation on the target information and does not generate any interactive data; or the interaction operation is less, the interaction data is less, and the interaction frequency is lower.
S200, determining second interaction data of the target information based on an information set; the second interaction data is used for representing interaction characteristics of the target information relative to the information set.
In this step, the information set may be network information screened according to preset conditions, where the preset conditions may be set by a technician, which is not limited herein. For example, aiming at the network information, the user can browse, praise, collect, comment, share and other interactive operation frequency information, so that the condition of the network information, which is concerned by the user, can be reflected. Therefore, according to the frequency information of the interaction operation of the user on the network information, the key word attribute information of the network information and other dimensions, the interaction state and the basic data of each network information are scored, and the network information with the scores meeting certain conditions is screened out, so that the information set can be formed. And then, the interactive data of the target information can be predicted based on the data of the information set, so that second interactive data of the target information relative to the information set is obtained. For example, when the information set is a group of network information with higher scores, basic data and interaction data of the network information in the information set can be obtained first, and then according to the basic data and interaction data of the information set, the interaction condition of the information set is predicted by combining the basic data of the target information, so as to obtain second interaction data of the target information.
In some embodiments, the determining the second interaction data of the target information based on the information set in the step S200 may be implemented as steps S210-S220:
s210, determining an association relationship between the target information and the information set;
s220, determining the second interaction data according to the association relation.
In this embodiment, it is considered that the basic attribute data and the interaction data of the network information in the information set may be obtained through data statistics and calculation, so when determining the second interaction data of the target information, the association relationship between the target information and the information set may be determined first, and then the interaction data of the target information may be predicted according to the association relationship and each interaction data of the information set, so as to obtain the second interaction data. In some practical applications, the association relationship of the present embodiment may be determined based on the content association degree between the target information and the network information in the information set, or may be determined based on the information range in the information set, the user information for publishing the information, the information requirement classification, the information-oriented user object, or the like according to the actual need, which is not limited in this embodiment.
In some embodiments, to accurately determine the association between the target information and the information set, the method includes:
acquiring first basic data of the target information and second basic data of the information set;
and determining the association relation according to the first basic data and the second basic data.
In this embodiment, the first basic data and the second basic data correspond to the target information and the network information in the information set, respectively. The first base data and the second base data may be obtained based on content or attribute information of the network information; for example, the method comprises the steps of determining and obtaining basic information such as content information, label information, user information of a publisher, geographical position information, category information and the like of network information, selecting according to actual needs by a technician, distributing corresponding scores and weights according to importance degrees of all dimensions based on the selected basic information of all dimensions, and calculating corresponding scores of all network information to obtain first basic data corresponding to target information and second basic data corresponding to all network information in an information set. In some specific applications, the second basic data of the information set may include scores of each network information therein, and may further include an average value calculated according to the scores, or other values calculated according to the scores, which may be specifically determined by a skilled person according to calculation needs, and is not limited herein.
In some embodiments, determining the second interaction data according to the association relationship includes:
acquiring interactive average data of the information set;
and obtaining the second interaction data based on the association relation and the interaction average data.
In this embodiment, in order to obtain the interaction average data of the information set, the interaction data corresponding to each piece of network information in the information set may be counted and calculated first, and then the average value calculation is performed according to each piece of interaction data, so as to obtain the interaction average data. When the interactive data corresponding to each network information is determined, the frequency information of the interactive operation of browsing, praying, collecting, commenting, sharing and the like of the information interaction of the non-issuing user on each network information at the current moment can be obtained through corresponding scoring.
S300, determining target interaction data of the target information based on the first interaction data and the second interaction data; determining whether the target information can be categorized in the information set based on the target interaction data.
In this step, after the first interactive data of the target information and the second interactive data thereof relative to the information set are obtained, the target interactive data of the target information in the new release process can be obtained. For example, when the information set is a set of network information with high heat, the user has fewer interactive operations of browsing, praying, collecting, commenting, sharing and the like when the target information is newly released, and the first interactive data is zero or particularly low, so that the target information is not high in data when the heat is determined based on the first interactive data and cannot be generally classified in the information set. In this step, since the second interactive data has the interactive characteristic of the target information relative to the information set, after the target interactive data is obtained by combining the first interactive data and the second interactive data of the target information, even if the target information is newly released or the release time is not long, the target information meeting the information set condition can be quickly classified into the information set based on the target interactive data, and the corresponding ranking and recommendation can be performed.
According to the method and the device for recommending the target information, the first interactive data of the target information and the second interactive data of the target information relative to the information set are obtained, the target interactive data of the target information is determined according to the first interactive data and the second interactive data, whether the target information can be classified into the information set is determined based on the target interactive data, the target information meeting the information set condition can be quickly classified into the information set based on the interaction frequency of the target information and the interaction characteristics relative to the information set, and the purpose of automatically and accurately recommending the target information can be achieved.
In some embodiments, determining whether the target information can be categorized in the information set based on the target interaction data comprises:
obtaining first characteristic data of the target information based on the target interaction data and the first basic data;
determining whether the target information meets the condition of the information set based on the first characteristic data.
In this embodiment, the target interaction data is used to classify the target information meeting the condition into the information set. In some specific applications, when the information set is network information screened according to the interaction state and the score of the basic data, the corresponding first characteristic data can be obtained by combining the target interaction data and the first basic data for the target information so as to obtain the corresponding score of the target information based on the interaction state and the basic data. And judging whether the first characteristic data meets the condition of screening the network information in the information set, if so, the target information meets the condition of the information set, and classifying the target information into the information set. For example, when screening is performed according to the interaction state and the score of the basic data, if the network information with the score higher than 70 is screened out to form an information set, and for the target information, if the score obtained based on the target interaction data and the first basic data is higher than 70 time, the target information can meet the condition of the information set, so that the target information can be directly classified into the information set under the condition that the target information is just released or the release duration is shorter, and then the target information can be correspondingly recommended based on the display of the information set.
In some embodiments, determining target interaction data for the target information based on the first interaction data and the second data interaction comprises:
acquiring the release time of the target information;
and combining the first interaction data and the second interaction data by using a preset algorithm based on the release time length to obtain the target interaction data.
The embodiment aims to obtain target interaction data by smoothly combining the first interaction data and the second interaction data by using a preset algorithm based on the release time of the target information. The first interactive data of the target information reflects the actual interactive state at the current time, the actual interactive state increases along with the increase of the release time of the target information, but when the release time is shorter, the first interactive data cannot predict and reflect the actual characteristic data of the target information; the second interactive data is the interactive state of the target information predicted relative to the information set, so that after the first interactive data and the second interactive data are combined, the characteristic data of the target information can be accurately predicted to quickly determine whether the target information meets the condition of the information set. Therefore, in order to enable the smooth transition of the target interaction data to be realized along with the process of increasing the release time length to the actual first interaction data, a corresponding smooth coefficient can be set according to the Bayesian theory and combined with the release time length of the target information, and when the coefficient is used for combining the first interaction data and the second interaction data to obtain the target interaction data, the larger fall of the target interaction data is avoided, the smooth transition of the numerical value is realized, and the reliability of the target interaction data is improved.
The data calculation modes and processes of the present application are illustrated below by means of exemplary formulas. In the embodiment of the present application, in order to obtain the target interaction data S, the first interaction data V for the target information and the second interaction data relative to the information set may be determined first. When the first interactive data V aiming at the target information is counted and determined, scoring can be carried out according to the frequency information of the interactive operations of browsing, praying, collecting, commenting, sharing and the like of the user aiming at the target information. In some practical applications, when scoring is performed according to each interactive operation and frequency information, a technician can configure a corresponding score for each interactive operation according to experience or actual needs, and then score correspondingly according to the counted interactive operation and frequency information, so that the first interactive data V can be obtained based on the score.
In some practical applications, the first basic data a of the target information can be further obtained 0 And a release time t 0 . Determining first basic data a 0 In this case, a technician may determine multiple dimensions of the target information based on actual needs, such as content of the target information (including semantic information, belonging field, etc. corresponding to the content), related tag information carried by the target information, user information for publishing the target information, geographic location information, category information, etc., assign corresponding scores and weights based on the dimensions of the target information, and then statistically obtain the first basic data a 0 . Release time t of target information 0 Statistics may be started based on their time of release. It can be understood that the release time t of the target information 0 The longer the first interactive data V is, the larger the first interactive data V is, namely the release time t of the first interactive data V along with the target information 1 And increases with increasing numbers of (c).
When determining the second interactive data, the interactive average data b of each network information in the information set can be counted first 0 And second underlying data, where the second underlying data may include scores for each network information and an average score a for those scores 1 . The score of each network information in the second basic data can be obtained by referring to the calculation mode of the basic data of the target information, and then the lowest score a is determined according to the score of each network information 2 . According to the first basic data a 0 Lowest score a of each network information in information set 2 And average score a 1 An association relationship between the target information and the information set may be determined, and the association relationship may be expressed as:
statistics and determination of interactive average data b of network information in information set 0 When the method is used, the interactive data of each network information in the information set can be determined first, specifically, the interactive data can be obtained by referring to the implementation mode of the first interactive data of the target information, and then the interactive data is obtained according to each network informationCalculating the average value of the interaction data to obtain interaction average data b of the information set 0 。
Then according to the association relation between the target information and the information set and the interactive average data b of the information set 0 Obtaining second interaction data of the target information, wherein the second interaction data can be expressed as:
the target interaction data of the target information may then be determined based on the first interaction data V and the second interaction data. In order to enable smooth transition of the target interaction data to be realized along with the process of increasing the release time length to the actual first interaction data, a corresponding smooth coefficient can be set according to the Bayesian theory and combined with the release time length of the target information, and when the coefficient is used for combining the first interaction data and the second interaction data to obtain the target interaction data, larger drop of the target interaction data is avoided, and smooth transition of numerical values is realized. The smoothing coefficient alpha may be based on the release time t of the target information 0 The following formula is used for obtaining:
wherein T is 0 For the average value of the time spent when the actual interaction data of each network information in the information set reaches the expected interaction data, the actual interaction data of each network information can be obtained by referring to the first interaction data V of the target information in the embodiment of the present application, and the expected interaction data can be obtained by referring to the second interaction data of the target information in the embodiment of the present application.
Thus, the target interaction data S can be obtained from the following formula:
in this embodiment, the smoothing coefficient α is based on the release time t of the target information 0 Obtained and issuedDuration t 0 The target interaction data S of the target information is the same as the second interaction data at the new release time. Then, along with the release time t of the target information 0 The target interaction data S is obtained by combining the first interaction data V and the second interaction data, and the release time period t 0 The longer the second interactive data occupy smaller proportion, the larger the first interactive data V occupy proportion, so that smooth transition is realized between the target interactive data S of the target information and the actual first interactive data, the situation that the ranking of the target information in the set is greatly influenced due to large data fluctuation when the first interactive data is directly transited to the actual interactive data is avoided, and the reliability of the target interactive data S can be improved.
In some embodiments, the information processing method further includes:
obtaining interaction interval time based on the first interaction data;
acquiring interaction average interval time of the information set, and acquiring an attenuation coefficient based on the interaction interval time and the interaction average interval time;
and updating the target interaction data according to the attenuation coefficient so as to update the first characteristic data based on the updated target interaction data.
In this embodiment, the first interaction data includes information of interaction operation performed by each user on the target information, and the interaction interval time may be based on the first interaction data to extract an interval time of interaction operation performed by the user on the target information. For example, after one user performs interactive operations of browsing, praying, collecting, commenting, or sharing on the target information, the other user performs the same or different interactive operations on the target information, so that the interval time between the interactive operations of the two users can be obtained; or the interval time of different interaction operations of the same user aiming at the target information can also be obtained; the interaction interval time can be obtained by acquiring the interval time of two adjacent different or same interaction operations aiming at the target information. And when the interaction interval time is increased, the interaction frequency is reduced, which indicates that the attention of the user to the target information is reduced. When the interactive average interval time of the information set is obtained, the sub-interval time corresponding to each piece of network information can be obtained first, and then the average value is calculated according to the sub-interval time. And then designing an attenuation coefficient according to the interaction interval time of the target information and the interaction average interval time of the information set, so that the target interaction data and the first characteristic data of the target information are attenuated along with the reduction of the social frequency.
According to the method, the attenuation coefficient is determined based on the interaction interval time aiming at the target information, the target interaction data can be adjusted and updated by the attenuation coefficient, when the interaction interval time of the target information is larger than the interaction average interval time of the information set, the target interaction data is reduced by the attenuation coefficient, so that the first characteristic data is attenuated along with the increase of the interaction interval time, and meanwhile, the first characteristic data of the target information with small interaction interval time is reduced slowly, so that sufficient display time is provided. Exemplary, interaction interval time t according to target information 1 And an interaction average interval time T of information collection 1 The attenuation coefficient β can be determined as follows:
where γ is a decay constant that can be empirically set by a technician to adjust the decay factor.
Then, in combination with the attenuation coefficient β, the target interaction data S can be calculated by the following formula:
in this embodiment, the attenuation coefficient β is obtained based on the interaction interval time of the target information and the interaction average interval time of the information set, and when the interaction interval time increases, the social frequency is represented to decrease, so that the target interaction data S of the target information may be attenuated along with the decrease of the social frequency. In this way, after the target information is fully mined, the social frequency of the target information is gradually reduced, and the target interaction data S obtained based on the attenuation coefficient beta is also gradually attenuated; therefore, the first characteristic data obtained based on the target interaction data S is correspondingly reduced until the first characteristic data no longer accords with the condition of the information set, and the target information is eliminated from the information set.
Based on the same inventive concept, an embodiment of the present application further provides an information processing apparatus, as shown in fig. 2, including:
the acquisition module 10 is configured to acquire first interaction data of target information, wherein the first interaction data is used for representing interaction frequency of the target information;
a determining module 20 configured to determine second interaction data of the target information based on the information set; the second interaction data is used for representing interaction characteristics of the target information relative to the information set;
a data processing module 30 configured to determine target interaction data of the target information based on the first interaction data and the second interaction data; determining whether the target information can be categorized in the information set based on the target interaction data.
The information processing device in the embodiment of the present application can implement the steps of the information processing method provided in any embodiment of the present application through the acquisition module 10, the determination module 20 and the data processing module 30 configured by the information processing device, and this embodiment is not described here again
The embodiment of the present application further provides an electronic device, which at least includes a memory 501, a processor 502 and a bus (not shown), where a schematic structural diagram of the electronic device may be shown in fig. 3, where the memory 501 stores machine readable instructions executable by the processor 502, and when the electronic device is running, the processor 502 communicates with the memory 501 through the bus, where the machine readable instructions are executed by the processor, to implement the steps of the information processing method provided in any embodiment of the present application.
Since the electronic device described in the embodiments of the present application is an electronic device provided with a memory for implementing the information processing method disclosed in the embodiments of the present application, based on the information processing method described in the embodiments of the present application, those skilled in the art can understand the structure and the modification of the electronic device described in the embodiments of the present application, and therefore, the description thereof is omitted herein.
The embodiment of the present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the method steps of the information processing method provided in any of the embodiments above.
The storage medium in the present embodiment may be contained in an electronic device; or may exist alone without being assembled into an electronic device. The storage medium carries one or more computer programs which, when executed, implement the steps of the information processing method provided according to the embodiment of the present application.
According to embodiments of the present application, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. Alternatively, specific examples in this embodiment may refer to examples described in any embodiment of the present application, which is not described herein. It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.
The flowcharts 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 application. 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 above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Moreover, although 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. In 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 limiting the scope of the application. 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 example forms of implementing the claims.
The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements of this application will occur to those skilled in the art, and are intended to be within the spirit and scope of the application.
Claims (10)
1. An information processing method, comprising:
acquiring first interaction data of target information, wherein the first interaction data are used for representing interaction frequency of the target information;
determining second interaction data of the target information based on the information set; the second interaction data is used for representing interaction characteristics of the target information relative to the information set;
determining target interaction data of the target information based on the first interaction data and the second interaction data; determining whether the target information can be categorized in the information set based on the target interaction data.
2. The method of claim 1, wherein determining second interaction data for the target information based on a set of information comprises:
determining an association relationship between the target information and the information set;
and determining the second interaction data according to the association relation.
3. The method of claim 2, wherein determining an association between the target information and the set of information comprises:
acquiring first basic data of the target information and second basic data of the information set;
and determining the association relation according to the first basic data and the second basic data.
4. The method of claim 2, wherein determining the second interaction data according to the association relationship comprises:
acquiring interactive average data of the information set;
and obtaining the second interaction data based on the association relation and the interaction average data.
5. The method of claim 3, wherein determining whether the target information can be categorized in the information set based on the target interaction data comprises:
obtaining first characteristic data of the target information based on the target interaction data and the first basic data;
determining whether the target information meets the condition of the information set based on the first characteristic data.
6. The method of claim 1, wherein determining target interaction data for the target information based on the first interaction data and the second data interactions comprises:
acquiring the release time of the target information;
and combining the first interaction data and the second interaction data by using a preset algorithm based on the release time length to obtain the target interaction data.
7. The method of claim 1, further comprising:
obtaining interaction interval time based on the first interaction data;
acquiring interaction average interval time of the information set, and acquiring an attenuation coefficient based on the interaction interval time and the interaction average interval time;
and updating the target interaction data according to the attenuation coefficient so as to update the first characteristic data based on the updated target interaction data.
8. An information processing apparatus, comprising:
the acquisition module is configured to acquire first interaction data of target information, wherein the first interaction data is used for representing interaction frequency of the target information;
a determining module configured to determine second interaction data of the target information based on the information set; the second interaction data is used for representing interaction characteristics of the target information relative to the information set;
a data processing module configured to determine target interaction data of the target information based on the first interaction data and the second interaction data; determining whether the target information can be categorized in the information set based on the target interaction data.
9. An electronic device comprising at least a memory, a processor and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory in communication over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor implementing the steps of the method of any of claims 1-7.
10. A computer readable storage medium having stored thereon a computer program which, when run by a processor, implements the steps of the method according to any of the preceding claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311213124.3A CN117235378A (en) | 2023-09-19 | 2023-09-19 | Information processing method and device, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311213124.3A CN117235378A (en) | 2023-09-19 | 2023-09-19 | Information processing method and device, electronic equipment and storage medium |
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| CN117235378A true CN117235378A (en) | 2023-12-15 |
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| CN202311213124.3A Pending CN117235378A (en) | 2023-09-19 | 2023-09-19 | Information processing method and device, electronic equipment and storage medium |
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