CN114255105A - Data display method, device, equipment and storage medium - Google Patents

Data display method, device, equipment and storage medium Download PDF

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CN114255105A
CN114255105A CN202111564372.3A CN202111564372A CN114255105A CN 114255105 A CN114255105 A CN 114255105A CN 202111564372 A CN202111564372 A CN 202111564372A CN 114255105 A CN114255105 A CN 114255105A
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王琪
孙孟冉
章水鑫
周源赣
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Nanjing Sanbaiyun Information Technology Co ltd
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    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2474—Sequence data queries, e.g. querying versioned data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results

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Abstract

The embodiment of the invention discloses a data display method, a data display device, data display equipment and a storage medium. The method comprises the following steps: acquiring a data sequence to be displayed, wherein the data sequence to be displayed comprises at least three data to be displayed; determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed; and if the information entropies and the position information errors meet preset diversity display conditions, displaying the data sequence to be displayed. The technical scheme of the embodiment of the invention solves the problem that the diversity of the displayed data sequence can not be pre-judged by the conventional recommendation system before the data sequence is displayed, and simultaneously, the influence of data arrangement in the data sequence on the display diversity is considered when the display diversity of the data sequence is judged, so that the diversity of the displayed data sequence is ensured, the accuracy and the stability of data display are improved, and the timeliness of problem discovery when the diversity is not satisfied is ensured.

Description

Data display method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the field of data processing, in particular to a data display method, a data display device, data display equipment and a storage medium.
Background
With the continuous development of the internet, at present, network users rely on the internet more and more when purchasing commodities or inquiring information, and personalized recommendation for the users often influences the final decision of the users when purchasing commodities and inquiring information.
By taking commodity recommendation as an example, merchants pay more attention to the diversity of recommendation sequences displayed to users when building a recommendation system, and can be diversified when recommending commodities to users, rather than recommending only a few commodities to cause similar commodity aggregation, so that the aesthetic fatigue and freshness of the users are reduced, and the user experience is reduced. The recommendation range is usually expanded by adopting multi-dimensional user characteristics at present, so that the diversity of recommended contents is ensured, however, due to the particularity of a recommendation system, correct or wrong judgment is difficult to be immediately carried out according to an output result, recommendation effectiveness is evaluated by user feedback, so that the recommendation result cannot be pre-judged, and continuous and stable diversified recommendation data display of the recommendation system is difficult to ensure.
Disclosure of Invention
The invention provides a data display method, a data display device, data display equipment and a storage medium, which are used for judging the diversity of displayed data sequences before data display is carried out on a user, so that the displayed data can meet the diversified requirements, the stability and the diversity of data display are improved, the labor cost is saved, and the timeliness of error discovery is ensured.
In a first aspect, an embodiment of the present invention provides a data display method, including:
acquiring a data sequence to be displayed, wherein the data sequence to be displayed comprises at least three data to be displayed;
determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed;
and if the information entropies and the position information errors meet preset diversity display conditions, displaying the data sequence to be displayed.
Further, the data to be displayed includes at least one type of feature information, and according to the serial number and the feature information of each data to be displayed, at least one information entropy corresponding to the data sequence to be displayed is determined, including:
generating a feature set corresponding to the feature type according to feature information of the same feature type extracted from each data to be displayed;
preprocessing each feature set according to the variable type of the feature information corresponding to each feature set;
and determining information entropies corresponding to the feature sets according to the occurrence frequency of the feature information in the processed feature sets, and determining the information entropies as the information entropies corresponding to the data sequences to be displayed.
Further, preprocessing each feature set according to the variable type of the feature information corresponding to each feature set, including:
and if the variable type of the corresponding characteristic information in the characteristic set is a continuous variable, performing box separation processing on each characteristic information to convert the corresponding characteristic information in the characteristic set into a discrete variable.
Further, determining a position information error corresponding to the data sequence to be displayed according to the serial number and the feature information of each data to be displayed, including:
sorting the importance of the feature information of each data to be displayed, and determining the feature information with the highest importance as target feature information;
dividing each data to be displayed according to the target characteristic information, and forming a target data set by the data to be displayed with the same target characteristic information;
renumbering the data to be displayed in each target data set;
and determining the position information error corresponding to the data sequence to be displayed according to the number of each data to be displayed in each target data set and the new number of each data to be displayed after renumbering.
Further, determining a position information error corresponding to the data sequence to be displayed according to the number of each to-be-displayed data in each target data set and the new number of each to-be-displayed data after renumbering, including:
determining an actual position index table corresponding to each target data set according to the number of each data to be displayed in each target data set;
determining a reference position index table corresponding to each target data set according to the new number of each data to be displayed after renumbering;
determining a linear error between an actual position index table and a reference position index table corresponding to the same target data set;
and determining the position information error corresponding to the data sequence to be displayed according to the average value of the linear errors.
Further, after determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the feature information of each data to be displayed, the method further includes:
and if the information entropies or the position information errors do not meet the preset diversity display conditions, generating early warning prompts and early warning.
Further, the determination of the preset diversity exhibition condition includes:
randomly extracting a preset number of groups of sample data sequences from a full database containing data to be displayed;
determining information entropy corresponding to each characteristic information in each sample data sequence and a position information error corresponding to each sample data sequence;
averaging the information entropies corresponding to the same characteristic information, and determining the average characteristic information entropy corresponding to each characteristic information;
averaging all position information errors to determine an average position information error;
determining the errors larger than the average characteristic information entropies and the average position information as preset diversity display conditions;
and the quantity of the sample data in each sample data sequence is the same as the quantity of the data to be displayed in the data sequence to be displayed.
In a second aspect, an embodiment of the present invention further provides a data display apparatus, including:
the data sequence acquisition module is used for acquiring a data sequence to be displayed, and the data sequence to be displayed comprises at least three data to be displayed;
the error determining module is used for determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed;
and the data display module is used for displaying the data sequence to be displayed if each information entropy and the position information error meet preset diversity display conditions.
In a third aspect, an embodiment of the present invention further provides a data display device, where the data display device includes: a storage device and one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the data presentation method as described above in the first aspect.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the data presentation method as described in the first aspect above.
The embodiment of the invention provides a data display method, a device, equipment and a storage medium, wherein the method comprises the steps of obtaining a data sequence to be displayed, wherein the data sequence to be displayed comprises at least three data to be displayed; determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed; and if the information entropies and the position information errors meet preset diversity display conditions, displaying the data sequence to be displayed. By adopting the technical scheme, after the data sequence to be displayed is obtained, the information entropy corresponding to each characteristic information of each data to be displayed is determined according to each data to be displayed, the position information error determined according to each data to be displayed number is determined, the diversity of the characteristics in each data to be displayed is determined according to the information entropy, the diversity of the arrangement of the data to be displayed in the data sequence to be displayed is determined according to the position information error, when each information entropy and the position information error meet the preset diversity display condition, the data sequence to be displayed is displayed, the problem that the diversity of the displayed data sequence cannot be pre-judged by the conventional recommendation system before the data sequence is displayed is solved, meanwhile, the influence of the data arrangement in the data sequence on the display diversity is considered when the diversity of the data sequence is judged, and the diversity of the displayed data sequence is ensured, the accuracy and the stability of data display are improved, and the timeliness of problem discovery when the diversity is not satisfied is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a data presentation method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a data displaying method according to a second embodiment of the present invention;
fig. 3 is a flowchart illustrating a process of determining a position information error corresponding to a data sequence to be displayed according to the number of each piece of data to be displayed in each target data set and the new number of each piece of data to be displayed after renumbering in the second embodiment of the present invention;
FIG. 4 is a flowchart illustrating a process of determining a preset diversity exposure condition according to a second embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a data display device according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of a data display apparatus according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
In the description of the present invention, it is to be understood that the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not necessarily used to describe a particular order or sequence, nor are they to be construed as indicating or implying relative importance. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Example one
Fig. 1 is a flowchart of a data display method according to an embodiment of the present invention, where the method may be applied to determine diversity of a data sequence to be displayed before displaying the data sequence, so as to display a data sequence meeting a diversity requirement.
As shown in fig. 1, a data display method provided in an embodiment of the present invention specifically includes the following steps:
s101, acquiring a data sequence to be displayed.
The data sequence to be displayed comprises at least three data to be displayed.
In this embodiment, the data to be displayed may be specifically understood as data that needs to be displayed, and the data may be data corresponding to things that have entities, such as articles, or data corresponding to things that do not have entities, such as application software. For example, the data to be displayed may be a vehicle, a network application, a real estate, a retail product, and the like, which is not limited in this embodiment of the present invention. The data sequence to be displayed may be specifically understood as a set of data to be displayed, which is generated after a plurality of data to be displayed, which are determined according to the obtained user preferences, are arranged in a certain order. Further, each piece of data to be displayed constituting the data sequence to be displayed should belong to the same type of data, and the types of the characteristic information of the data to be displayed are substantially the same, for example, if each piece of data to be displayed constituting the data sequence to be displayed is a vehicle, each piece of data to be displayed may be vehicles of different brands, different selling prices, and different driving miles, but the types of the characteristics of the data to be displayed are substantially the same.
Specifically, when commodity recommendation is performed, a recommendation system constructed by a merchant can determine data to be displayed corresponding to a plurality of commodities according to user preferences, the data to be displayed are arranged in a certain sequence to generate a data sequence to be displayed, the influence of the data arrangement sequence on data display diversity in the data sequence is reflected, the data sequence to be displayed at least comprises three data to be displayed, and when the data to be displayed are not displayed for a user, the data sequence to be displayed needs to be acquired to judge whether the diversity meets display requirements.
S102, determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed.
In the present embodiment, the number may specifically be understood as a number of the data to be displayed in the data sequence to be displayed, which may be used to indicate the position information of the corresponding data to be displayed in the data sequence to be displayed. The feature information may be specifically understood as different types of features of the data to be displayed, and for example, if the data to be displayed is a vehicle, the feature information may specifically include a brand of the vehicle, a selling price of the vehicle, a driving distance of the vehicle, a model number of the vehicle, a vehicle operation mode, and the like, which is not limited in this embodiment of the present invention. Entropy is understood to mean a measure of the information, which is used to describe the uncertainty of the source in a plurality of information, i.e. the average information content of a large amount of information, with redundancy excluded. The position information error may be specifically understood as an error between a position corresponding to continuous arrangement of the data to be displayed of the same type and a position of the data to be displayed in the data sequence to be displayed, that is, may be understood as a value used to represent whether the data to be displayed of the same type in the data sequence to be displayed are continuously arranged, which results in a decrease in diversity of the data sequence to be displayed. Further, the data to be displayed comprises at least one characteristic information.
Specifically, as each piece of data to be displayed has multiple pieces of feature information, the information entropy of the data to be displayed with the same type of feature information is determined for the same feature information, and then multiple information entropies corresponding to all the feature information of the data to be displayed are obtained. And meanwhile, selecting one feature information with the highest importance from the feature information of the data to be displayed, classifying the data to be displayed according to the feature information, continuously arranging the data to be displayed of the same type and determining the corresponding position of the data to be displayed, and determining the position information error of the data sequence to be displayed according to the corresponding position of the data to be displayed in continuous arrangement and the actual position of the data to be displayed in the data sequence to be displayed.
S103, if the information entropies and the position information errors meet preset diversity display conditions, displaying the data sequence to be displayed.
In this embodiment, the preset diversity exhibition condition may be specifically understood as a preset condition for determining, according to the information entropy and the position information error, data information included in the corresponding data sequence to be exhibited and whether the arrangement of each data to be exhibited meets the diversity requirement of exhibition.
Specifically, whether the information entropy corresponding to each feature information in the data sequence to be displayed meets the preset diversity display condition or not is determined, and whether the position information error meets the preset diversity display condition or not is determined.
The embodiment of the invention obtains the data sequence to be displayed, wherein the data sequence to be displayed comprises at least three data to be displayed; determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed; and if the information entropies and the position information errors meet preset diversity display conditions, displaying the data sequence to be displayed. By adopting the technical scheme, after the data sequence to be displayed is obtained, the information entropy corresponding to each characteristic information of each data to be displayed is determined according to each data to be displayed, the position information error determined according to each data to be displayed number is determined, the diversity of the characteristics in each data to be displayed is determined according to the information entropy, the diversity of the arrangement of the data to be displayed in the data sequence to be displayed is determined according to the position information error, when each information entropy and the position information error meet the preset diversity display condition, the data sequence to be displayed is displayed, the problem that the diversity of the displayed data sequence cannot be pre-judged by the conventional recommendation system before the data sequence is displayed is solved, meanwhile, the influence of the data arrangement in the data sequence on the display diversity is considered when the diversity of the data sequence is judged, and the diversity of the displayed data sequence is ensured, the accuracy and the stability of data display are improved, and the timeliness of problem discovery when the diversity is not satisfied is guaranteed.
Example two
Fig. 2 is a flowchart of a data display method according to a second embodiment of the present invention, where the technical scheme of the second embodiment of the present invention is further optimized based on the optional technical schemes, and determines a corresponding feature set according to feature information of the same feature type in each data to be displayed, and determines an information entropy corresponding to the feature information according to a frequency of occurrence of each feature information in the feature set, and at the same time, performs importance ranking on the feature information of each data to be displayed, determines the feature information with the highest importance as target feature information, and further divides each data to be displayed according to the target feature information and renumbers the divided target data sets, so as to determine a position information error corresponding to the data sequence to be displayed according to a new number of the data to be displayed in each target data set and the corresponding position information error. Whether the preset diversity display condition is met through each information entropy and the position information error or not, the data sequence to be displayed is displayed when the preset diversity display condition is met, and the early warning prompt is generated when the preset diversity display condition is not met, so that the diversity test is carried out before the data sequence to be displayed is displayed for a user, the accuracy and the stability of data display are improved, the early warning is carried out on the data sequence to be displayed when the diversity is not met, the timeliness of problem finding is guaranteed, and the time cost of repairing is reduced.
As shown in fig. 2, a data display method provided in the second embodiment of the present invention specifically includes the following steps:
s201, acquiring a data sequence to be displayed.
The data sequence to be displayed comprises at least three data to be displayed.
S202, generating a feature set corresponding to the feature type according to the feature information of the same feature type extracted from each data to be displayed.
In the present embodiment, the feature type may be specifically understood as a category formed by classifying the features according to the properties of the features, and the features of the same feature type should have some common properties. A feature set is to be understood as a set of a plurality of feature information having the same property.
Specifically, since one piece of data to be displayed has a plurality of pieces of feature information of different feature types, the feature information belonging to the same feature type in each piece of data to be displayed can be extracted, and the extracted feature information is combined to generate a feature set corresponding to the feature type.
For example, assuming that the data to be displayed is a vehicle, the characteristic information corresponding to one data to be displayed may include a brand of the vehicle, a selling price of the vehicle, a driving distance of the vehicle, and the like. Taking five data to be displayed as an example, the characteristic information of each data to be displayed is shown in the following table 1:
TABLE 1
Vehicle with a steering wheel Vehicle brand Vehicle selling price (Wanyuan) Vehicle mileage (km)
A Audi (Audi) 45 60
B The public 23 870
C The public 16 122
D Audi (Audi) 35 1689
E The public 19 25
Then, for the vehicle brand feature type in each piece of data to be displayed, the feature information in each piece of data to be displayed can be extracted as follows: audi, the public, audi, and the public, and the generated feature set corresponding to the vehicle brand is [ audi, the public, audi, the public ].
S203, preprocessing each feature set according to the variable type of the feature information corresponding to each feature set.
In the present embodiment, the variable type may be specifically understood as a type that is continuously divided according to whether the variable value of the variable is continuously divided, and may include both a continuous variable and a discrete variable. A continuous variable is understood to mean in particular a variable having an infinite number of values between any two values, and a discrete variable is understood to mean in particular a variable having a countable number of values between any two values.
Specifically, since data required to participate in the calculation is discrete when calculating the information entropy, the feature information included in each feature set needs to be preprocessed according to the variable type of the feature information corresponding to the feature set, so that the data included in each feature set is discrete data.
Further, preprocessing each feature set according to the variable type of the feature information corresponding to each feature set, specifically comprising the following steps:
1) judging whether the variable type of the corresponding feature information in the feature set is a continuous variable or not; if yes, executing step 2); otherwise, the feature information in the feature set is not processed.
2) And performing box separation processing on each feature information to convert the corresponding feature information in the feature set into discrete variables.
In the present embodiment, the binning process is specifically understood as a process of converting a continuous value into a discrete value, that is, a continuous value is divided into a plurality of segments, and the value of each segment is regarded as a category.
In the above example, when the feature information is a vehicle brand, the variable type corresponding to the feature information may be considered as a discrete variable, and the discrete variable may be used to determine the information entropy corresponding to the feature set without processing the discrete variable; when the characteristic information is the vehicle selling price, because the values used for representing the vehicle selling price are all floating point values, namely the variable type is a continuous variable, the characteristic set corresponding to the vehicle selling price needs to be subjected to box separation processing so as to be divided into a plurality of discrete values. It should be clear that, the number of segments of the continuous variable during the binning processing can be determined according to the data amount in the feature set, and it is not necessary to ensure that the number of discrete values after the binning processing is the same as the number of feature information in the feature set, so as to reduce the calculation amount in the data processing.
S204, determining information entropies corresponding to the feature sets according to the occurrence frequency of the feature information in the processed feature sets, and determining the information entropies as the information entropies corresponding to the data sequences to be displayed.
Specifically, because the feature information for the same feature type in different data to be displayed may be the same, the frequency of the same feature information appearing in the corresponding feature set may be determined from each processed feature set, and then the frequency of the feature information appearing in the feature set is substituted into the information entropy formula according to the frequency of the feature information appearing in the feature set to obtain the information entropy corresponding to the feature type, and the information entropy corresponding to each feature type is used as the information entropy corresponding to the data sequence to be displayed.
Further, the information entropy formula can be specifically expressed by the following formula:
Figure BDA0003421362250000131
wherein, H (x) is the information entropy corresponding to the characteristic information with the characteristic type x, n is the number of the types of the characteristic information in the characteristic set with the characteristic type x, pi(x) Is the probability of the ith kind of feature information in the feature set.
In the above example, if the feature type x is the brand of the vehicle, the probability p of occurrence of the first feature information, i.e. the "audi" in the feature set1(x) 0.4, the second kind of feature information in the feature set, i.e. the probability p of the occurrence of "the masses2(x) Is 0.6, and the entropy of the information corresponding to the characteristic information with the characteristic type of the vehicle brand is
Figure BDA0003421362250000132
S205, ranking the importance of the feature information of each data to be displayed, and determining the feature information with the highest importance as target feature information.
Specifically, the importance of each feature information corresponding to the data to be displayed is determined according to the historical display data, the feature information is ranked from high to low or from low to high according to the importance, the feature information with the highest importance can be regarded as the feature information which has the greatest influence on ranking of the display data, and accordingly the feature information with the highest importance is determined as the target feature information to divide the data to be displayed according to the target feature information.
S206, dividing the data to be displayed according to the target characteristic information, and forming a target data set by the data to be displayed with the same target characteristic information.
Specifically, because the target characteristic information is characteristic information that each data to be displayed has, and the target characteristic information has the largest influence on the ordering of the data to be displayed in the data sequence to be displayed, the data to be displayed having the same target characteristic information may be divided into one group, and each group of data to be displayed may form a target data set, and each data to be displayed belonging to the same target data set may be considered to be similar data.
And S207, renumbering the data to be displayed in each target data set.
Specifically, a plurality of data to be displayed in each target data set are numbered continuously at intervals of 1 from 0 to n, so as to determine whether the data to be displayed are continuously arranged in the data sequence to be displayed according to the new numbers and the numbers of the data to be displayed in the data sequence to be displayed, thereby influencing the diversity of the data sequence to be displayed.
For example, assuming that the data sequence to be presented includes 10 data to be presented, the number of each data to be presented may be a number from 1 to 10 at an interval of 1. If the target data set contains three data to be displayed with numbers of 2, 4 and 8 in the data sequence to be displayed respectively, and the three data to be displayed are renumbered, then the continuous numbers with the interval of 1 and the new numbers of 0-2 of the three data to be displayed can be obtained, and the new number set can be represented as [0,1,2 ].
Furthermore, if the target data set only contains one piece of data to be displayed, the arrangement of the data to be displayed in the data sequence to be displayed does not affect the diversity of the data sequence to be displayed, and the position information error of the data sequence to be displayed is determined without consideration, so that the target data set can be directly deleted.
And S208, determining the position information error corresponding to the data sequence to be displayed according to the number of each data to be displayed in each target data set and the new number of each data to be displayed after renumbering.
Specifically, for a target data set, the difference between the serial number and the new serial number of the data to be displayed at the same position is determined, the difference of the data to be displayed is summed to determine the position information error of the target data set, and the position information errors of all the target data sets in the data sequence to be displayed are summed and averaged to serve as the position information error corresponding to the data sequence to be displayed.
Further, fig. 3 is a flowchart illustrating a process of determining a position information error corresponding to a data sequence to be displayed according to the number of each to-be-displayed data in each target data set and the new number of each to-be-displayed data after renumbering according to a second embodiment of the present invention, as shown in fig. 3, specifically including the following steps:
s2081, determining an actual position index table corresponding to each target data set according to the number of each to-be-displayed data in each target data set.
Specifically, the position of each to-be-displayed data in the target data set in the to-be-displayed data sequence is determined as the actual position, that is, the number of each to-be-displayed data in the to-be-displayed data sequence is used as the index of the to-be-displayed data sequence, and the indexes corresponding to the numbers of all to-be-displayed data in one target data set are sequentially listed to form the actual position index table corresponding to the target data set.
In the above example, if the numbers of the data to be shown included in the target data set in the data sequence to be shown are 2, 4, and 8, respectively, the actual position index table corresponding to the target data set may be represented as [ 248 ].
S2082, determining a reference position index table corresponding to each target data set according to the new number of each data to be displayed after renumbering.
Specifically, after each to-be-displayed data in the target data set is renumbered, a new data sequence is constructed, the position in the new data sequence is determined as the reference position of the to-be-displayed data, the number of each to-be-displayed data in the new data sequence is determined as the index of the to-be-displayed data appearing in the new data sequence, and the indexes corresponding to the new numbers of all to-be-displayed data in one target data set are sequentially ordered to form a reference position index table corresponding to the target data set.
In the above example, when the numbers of the data sequence to be displayed are 2, 4, and 8, respectively, and the numbers are renumbered so that the new inter-number interval of each data to be displayed is 1, the reference position index table corresponding to the target data set can be represented as [ 012 ].
S2083, linear errors between the actual position index table and the reference position index table corresponding to the same target data set are determined.
Illustratively, assume m data to be presented, ap, in a target datasetjIndicates the number, ap, of the jth data in the target data set in the reference position index tablej,0Denotes the number, benchmark, of the first element in the reference position index table of the target data setjRepresenting the number of the jth data in the target data set in the actual position index table, assuming that the data sequence to be displayed is divided into n target data sets, through pliRepresenting the linear error of the ith target data set in the data sequence to be displayed, the linear error determining formula can be represented by the following formula:
Figure BDA0003421362250000161
s2084, determining the position information error corresponding to the data sequence to be displayed according to the average value of the linear errors.
In the above example, assuming that the position information error of the data sequence to be presented can be represented by PS-loss, the PS-loss can be determined according to the average value of the linear errors of n target data sets in the data sequence to be presented, and the specific determination manner is as follows:
Figure BDA0003421362250000171
it should be clear that there is no precedence order between the information entropy determination performed in steps S202 to S204 and the position information error determination performed in steps S205 to S208, which may be performed simultaneously or in different orders.
S209, judging whether each information entropy and each position information error meet a preset diversity display condition, if so, executing a step S210, and if not, executing a step S211.
Specifically, each information entropy and each position information error are sequentially compared with a preset diversity display condition, if all the information entropies and the position information errors meet the preset diversity display condition, the data sequence to be displayed is considered to meet the diversity requirement of display, and then step S210 is executed; otherwise, it may be considered that there is homogeneous data aggregation in the data sequence to be presented, and if direct presentation would cause aesthetic fatigue and freshness of the user receiving the data sequence to be presented to be reduced, step S211 is executed at this time.
Further, fig. 4 is a flowchart illustrating a process of determining a preset diversity exhibition condition according to a second embodiment of the present invention, as shown in fig. 4, specifically including the following steps:
s301, randomly extracting a preset number of groups of sample data sequences from a full database containing data to be displayed.
And the quantity of the sample data in each sample data sequence is the same as the quantity of the data to be displayed in the data sequence to be displayed.
In this embodiment, the full database may be specifically understood as a database including all the data to be shown, that is, all the data to be shown in the data sequence to be shown are extracted from the full database.
Specifically, a preset number of data sequences are extracted from the full-size database, and the multiple data sequences are determined as sample data sequences, that is, the situation of a data sequence to be displayed which may possibly occur is simulated through the sample data sequences extracted randomly, so that the probability and the position information of a discrete value in each feature information in the data sequence to be displayed are estimated according to the features and the numbers corresponding to the sample data in each sample data sequence, and the determination of the preset diversity display condition is completed. Further, the preset number may be predetermined according to the actual data amount and other influencing factors, which is not limited in the embodiment of the present invention.
S302, determining information entropy corresponding to each characteristic information in each sample data sequence and a position information error corresponding to each sample data sequence.
Specifically, the information entropy corresponding to each feature information in each sample data sequence and the position information error corresponding to each sample data sequence are determined by the determination method of the information entropy and the position information error in steps S203 to S208.
S303, averaging the information entropies corresponding to the same characteristic information, and determining the average characteristic information entropy corresponding to each characteristic information.
Specifically, because the sample data in the full database has different types of feature information, a plurality of information entropies corresponding to the same feature information can be extracted from the information entropies corresponding to different feature information determined according to different groups of sample data sequences, and then the average value of the information entropies is determined as the average feature information entropy corresponding to the feature information.
S304, averaging all the position information errors to determine an average position information error.
Specifically, the corresponding position information error can be determined according to each group of sample data sequences, that is, the position information error of each sample data sequence can be understood as a quantized value of the influence of the sequence of the sample data in the sample data sequence on the display diversity, so that the position information errors of a plurality of groups of sample data sequences can be averaged to determine the position information error which should be present without considering the diversity.
S305, determining the average characteristic information entropy and the average position information error which are larger than the average characteristic information entropy and the average position information error as preset diversity display conditions.
Specifically, the diversity exhibition condition may be understood as a minimum condition satisfying exhibition diversity, and the determined average position information error and average feature information entropy may be understood as an information entropy corresponding to each feature information when the exhibition is performed without considering diversity and an amount position information error corresponding to each arrangement of the sample data, so that an average position information error larger than each average position information entropy may be determined as the preset diversity exhibition condition. Further, that is, if the data sequence to be displayed can be directly displayed, it is required that the information entropy corresponding to each feature information is greater than the corresponding average feature information entropy, and the position information error is greater than the average position information error.
And S210, displaying the data sequence to be displayed.
And S211, generating an early warning prompt and carrying out early warning.
Specifically, the reason for the unsatisfied diversity can be determined according to the part of the data sequence to be displayed, which does not meet the preset diversity display condition, that is, if the information entropy corresponding to certain characteristic information is smaller than the average characteristic information entropy in the preset diversity display condition, it can be considered that the characteristic information display concentration problem exists in the data sequence to be displayed, so that the diversity of the data sequence to be displayed is influenced, and at this time, a corresponding early warning prompt is generated and early warning is performed, so that the adjustment of the data sequence to be displayed is completed in a targeted manner.
According to the technical scheme of the embodiment of the invention, a plurality of groups of sample data sequences are extracted from a full database containing data to be displayed, and then the average characteristic information entropy and the average position information error corresponding to each characteristic information are determined according to the information entropy corresponding to each characteristic information in the sample data sequences and the position information error corresponding to each sample data sequence, so that the preset diversity display condition is constructed. Determining a corresponding feature set according to feature information of the same feature type in the data to be displayed, determining information entropy corresponding to the feature information according to the frequency of occurrence of each feature information in the feature set, simultaneously sequencing the importance of the feature information of each data to be displayed, determining the feature information with the highest importance as target feature information, dividing each data to be displayed according to the target feature information, renumbering the divided target data sets, and determining the position information error corresponding to the data sequence to be displayed according to the new numbering of the data to be displayed in each target data set and the corresponding just-going condition. Treat a plurality of information entropies and the positional information error of show data sequence and judge through predetermineeing the variety show condition, whether the variety demand of external show is waited to confirm to treat the show data sequence, the type that does not satisfy the demand of accurate location when unsatisfying, and generate corresponding early warning condition and carry out the early warning, make to treat that show data sequence carries out the diversity test before showing for the user promptly, the accuracy and the stability of data show have been promoted, in time treat when the variety is unsatisfied that show data sequence carries out the early warning, the promptness of problem discovery has been guaranteed, prosthetic time cost has been reduced.
EXAMPLE III
Fig. 5 is a schematic structural diagram of a data display apparatus according to a third embodiment of the present invention, where the data display apparatus includes: a data sequence acquisition module 41, an error determination module 42 and a data presentation module 43.
The data sequence acquiring module 41 is configured to acquire a data sequence to be displayed, where the data sequence to be displayed includes at least three data to be displayed; an error determining module 42, configured to determine at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the feature information of each data to be displayed; and the data display module 43 is configured to display the data sequence to be displayed if each information entropy and the position information error meet a preset diversity display condition.
According to the technical scheme of the embodiment of the invention, after the data sequence to be displayed is obtained, the information entropy corresponding to each characteristic information of each data to be displayed is determined according to each data to be displayed, the position information error determined according to each data to be displayed number is determined, the diversity of the characteristics in each data to be displayed is determined according to the information entropy, the diversity of the arrangement of the data to be displayed in the data sequence to be displayed is determined according to the position information error, when each information entropy and the position information error meet the preset diversity display condition, the data sequence to be displayed is displayed, the problem that the diversity of the displayed data sequence cannot be pre-judged by the conventional recommendation system before the data sequence is displayed is solved, meanwhile, the influence of the arrangement of the data in the data sequence on the display diversity is considered when the diversity of the data sequence is judged, and the diversity of the displayed data sequence is ensured, the accuracy and the stability of data display are improved, and the timeliness of problem discovery when the diversity is not satisfied is guaranteed.
Optionally, the data to be displayed includes at least one type of feature information, and the error determination module 42 includes:
the information entropy determining unit is used for generating a feature set corresponding to the feature type according to the feature information of the same feature type extracted from each piece of data to be displayed; preprocessing each feature set according to the variable type of the feature information corresponding to each feature set; and determining information entropies corresponding to the feature sets according to the occurrence frequency of the feature information in the processed feature sets, and determining the information entropies as the information entropies corresponding to the data sequences to be displayed.
The information error determining unit is used for sequencing the importance of the characteristic information of each data to be displayed and determining the characteristic information with the highest importance as target characteristic information; dividing each data to be displayed according to the target characteristic information, and forming a target data set by the data to be displayed with the same target characteristic information; renumbering the data to be displayed in each target data set; and determining the position information error corresponding to the data sequence to be displayed according to the number of each data to be displayed in each target data set and the new number of each data to be displayed after renumbering.
Further, preprocessing each feature set according to the variable type of the feature information corresponding to each feature set, including:
and if the variable type of the corresponding characteristic information in the characteristic set is a continuous variable, performing box separation processing on each characteristic information to convert the corresponding characteristic information in the characteristic set into a discrete variable.
Further, determining a position information error corresponding to the data sequence to be displayed according to the number of each to-be-displayed data in each target data set and the new number of each to-be-displayed data after renumbering, including:
determining an actual position index table corresponding to each target data set according to the number of each data to be displayed in each target data set;
determining a reference position index table corresponding to each target data set according to the new number of each data to be displayed after renumbering;
determining a linear error between an actual position index table and a reference position index table corresponding to the same target data set;
and determining the position information error corresponding to the data sequence to be displayed according to the average value of the linear errors.
Further, the data display device further comprises:
and the early warning module is used for generating an early warning prompt and carrying out early warning if each information entropy or position information error does not meet the preset diversity display condition.
The condition determining module is used for randomly extracting a preset number of groups of sample data sequences from a full database containing data to be displayed; determining information entropy corresponding to each characteristic information in each sample data sequence and a position information error corresponding to each sample data sequence; averaging the information entropies corresponding to the same characteristic information, and determining the average characteristic information entropy corresponding to each characteristic information; averaging all position information errors to determine an average position information error; determining the errors larger than the average characteristic information entropies and the average position information as preset diversity display conditions; and the quantity of the sample data in each sample data sequence is the same as the quantity of the data to be displayed in the data sequence to be displayed.
The data display device provided by the embodiment of the invention can execute the data display method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 6 is a schematic structural diagram of a data display apparatus according to a fourth embodiment of the present invention. The data presentation device comprises: a processor 50, a storage device 51, a display 52, an input device 53, and an output device 54. The number of the processors 50 in the data presentation device may be one or more, and one processor 50 is taken as an example in fig. 6. The number of the storage devices 51 in the data presentation apparatus may be one or more, and one storage device 51 is taken as an example in fig. 6. The processor 50, the storage means 51, the display 52, the input means 53 and the output means 54 of the data presentation apparatus may be connected by a bus or other means, as exemplified by the bus connection in fig. 6. In an embodiment, the data presentation device may be a computer, a notebook, or a smart tablet, etc.
The storage device 51 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules (e.g., the data sequence acquisition module 41, the error determination module 42, and the data presentation module 43) corresponding to the data presentation apparatus according to any embodiment of the present application. The storage device 51 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the device, and the like. Further, the storage 51 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage 51 may further include memory located remotely from the processor 50, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The display screen 52 may be a touch-enabled display screen 52, which may be a capacitive screen, an electromagnetic screen, or an infrared screen. In general, the display screen 52 is used for displaying data according to instructions from the processor 50, and is also used for receiving touch operations applied to the display screen 52 and sending corresponding signals to the processor 50 or other devices.
The input means 53 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the presentation apparatus, and may also be a camera for acquiring images and a sound pickup apparatus for acquiring audio data. The output device 54 may include an audio device such as a speaker. It should be noted that the specific composition of the input device 53 and the output device 54 may be set according to actual conditions.
The processor 50 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the storage device 51, that is, the data presentation method described above is realized.
The computer device provided by the above can be used to execute the data presentation method provided by any of the above embodiments, and has corresponding functions and advantages.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform a data presentation method, and the method includes:
acquiring a data sequence to be displayed, wherein the data sequence to be displayed comprises at least three data to be displayed;
determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed;
and if the information entropies and the position information errors meet preset diversity display conditions, displaying the data sequence to be displayed.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the data presentation method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for displaying data, comprising:
acquiring a data sequence to be displayed, wherein the data sequence to be displayed comprises at least three data to be displayed;
determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed;
and if each information entropy and the position information error meet a preset diversity display condition, displaying the data sequence to be displayed.
2. The method according to claim 1, wherein the data to be displayed includes at least one type of feature information, and the determining at least one information entropy corresponding to the data sequence to be displayed according to the number and the feature information of each piece of data to be displayed includes:
generating a feature set corresponding to the feature type according to feature information of the same feature type extracted from each piece of data to be displayed;
preprocessing each feature set according to the variable type of the feature information corresponding to each feature set;
and determining information entropies corresponding to the feature sets according to the occurrence frequency of the feature information in the processed feature sets, and determining the information entropies as the information entropies corresponding to the data sequence to be displayed.
3. The method according to claim 2, wherein the preprocessing each feature set according to the variable type of the feature information corresponding to each feature set comprises:
and if the variable type of the corresponding feature information in the feature set is a continuous variable, performing box separation processing on each feature information to convert the corresponding feature information in the feature set into a discrete variable.
4. The method according to claim 1, wherein determining the position information error corresponding to the data sequence to be shown according to the number and the feature information of each data to be shown comprises:
sorting the importance of the characteristic information of each data to be displayed, and determining the characteristic information with the highest importance as target characteristic information;
dividing the data to be displayed according to the target characteristic information, and forming a target data set by the data to be displayed with the same target characteristic information;
renumbering the data to be displayed in each target data set;
and determining the position information error corresponding to the data sequence to be displayed according to the number of each data to be displayed in each target data set and the new number of each data to be displayed after renumbering.
5. The method according to claim 4, wherein the determining the position information error corresponding to the data sequence to be displayed according to the number of each data to be displayed in each target data set and the new number of each data to be displayed after renumbering comprises:
determining an actual position index table corresponding to each target data set according to the serial number of each to-be-displayed data in each target data set;
determining a reference position index table corresponding to each target data set according to the new code of each data to be displayed after renumbering;
determining a linear error between an actual position index table and a reference position index table corresponding to the same target data set;
and determining the position information error corresponding to the data sequence to be displayed according to the average value of the linear errors.
6. The method according to claim 1, wherein after determining at least one of an information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the number and the feature information of each piece of data to be displayed, the method further comprises:
and if each information entropy or the position information error does not meet the preset diversity display condition, generating an early warning prompt and carrying out early warning.
7. The method according to any one of claims 1 to 6, wherein the determining of the preset diversity presentation condition comprises:
randomly extracting a preset number of groups of sample data sequences from a full database containing the data to be displayed;
determining information entropy corresponding to each characteristic information in each sample data sequence and a position information error corresponding to each sample data sequence;
averaging the information entropies corresponding to the same characteristic information, and determining the average characteristic information entropy corresponding to each characteristic information;
averaging all the position information errors to determine an average position information error;
determining the average characteristic information entropy and the average position information error which are larger than each average characteristic information entropy as preset diversity display conditions;
and the quantity of the sample data in each sample data sequence is the same as that of the data to be displayed in the data sequence to be displayed.
8. A data presentation device, comprising:
the data sequence acquisition module is used for acquiring a data sequence to be displayed, and the data sequence to be displayed comprises at least three data to be displayed;
the error determining module is used for determining at least one information entropy corresponding to the data sequence to be displayed and a position information error corresponding to the data sequence to be displayed according to the serial number and the characteristic information of each data to be displayed;
and the data display module is used for displaying the data sequence to be displayed if each information entropy and the position information error meet preset diversity display conditions.
9. A data presentation device, the data presentation device comprising: a storage device and one or more processors;
the storage device to store one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a data presentation method as claimed in any one of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the data presentation method of any one of claims 1-7 when executed by a computer processor.
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