CN113988621A

CN113988621A - Data processing method, computing device and storage medium for book information producer

Info

Publication number: CN113988621A
Application number: CN202111258270.9A
Authority: CN
Inventors: 黄丹丹; 邱萌萌; 黄春茜; 李雪; 文思远
Original assignee: Zhangyue Technology Co Ltd
Current assignee: Zhangyue Technology Co Ltd
Priority date: 2021-10-27
Filing date: 2021-10-27
Publication date: 2022-01-28

Abstract

The invention discloses a data processing method, a computing device and a storage medium for a book information producer. The method comprises the following steps: generating a first producer score of the book information producer aiming at any book information producer accessed by the electronic book platform; and obtaining a second producer score of the book information producer from a third party platform; carrying out normalization processing on the first producer score and the second producer score; generating a comprehensive producer score of the book information producer according to the normalization processing result. By adopting the scheme, the book information producer can be comprehensively evaluated, and the evaluation accuracy of the book information producer is improved. Therefore, the release and management of the book information can be carried out based on the comprehensive producer score of the book information producer, the user experience is improved, and the user retention rate of the electronic book platform is improved.

Description

Data processing method, computing device and storage medium for book information producer

Technical Field

The invention relates to the technical field of data processing, in particular to a data processing method, computing equipment and a storage medium for a book information producer.

Background

With the continuous development of science and technology and society, the reading habits of readers have changed, and more readers prefer to read electronic books. Currently, some electronic book platforms can acquire related book information from some information production channels for displaying in order to improve user experience. For example, some electronic book platforms may obtain a short video related to a book from a short video platform for display, and so on.

However, the existing e-book platform for providing the user with the book information lacks the accurate evaluation of the quality of the producer of the book information, thereby being unfavorable for the delivery and management of the book information. And the defect of poor quality of the information of the released books is easily caused, so that the experience of using the electronic book platform by a user is reduced, and the user retention rate of the electronic book platform is reduced.

Disclosure of Invention

In view of the above problems, the present invention has been made to provide a data processing method, a computing device, and a storage medium of a book information producer that overcome the above problems or at least partially solve the above problems.

According to an aspect of the present invention, there is provided a data processing method of a book information producer, comprising:

generating a first producer score of the book information producer aiming at any book information producer accessed by the electronic book platform; and

obtaining a second producer score of the book information producer from a third party platform;

normalizing the first producer score and the second producer score;

generating a comprehensive producer score of the book information producer according to the normalization processing result.

According to yet another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

the memory is configured to store at least one executable instruction that causes the processor to:

normalizing the first producer score and the second producer score;

According to still another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the data processing method of the above-mentioned book information producer.

According to the data processing method, the computing device and the storage medium of the book information producer disclosed by the invention, the data processing method comprises the following steps: generating a first producer score of the book information producer aiming at any book information producer accessed by the electronic book platform; and obtaining a second producer score of the book information producer from a third party platform; carrying out normalization processing on the first producer score and the second producer score; generating a comprehensive producer score of the book information producer according to the normalization processing result. By adopting the scheme, the book information producer can be comprehensively evaluated, and the evaluation accuracy of the book information producer is improved. Therefore, the release and management of the book information can be carried out based on the comprehensive producer score of the book information producer, the user experience is improved, and the user retention rate of the electronic book platform is improved.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

fig. 1 is a schematic flowchart illustrating a data processing method for a book information producer according to an embodiment of the present invention;

FIG. 2 is a flow chart illustrating a method for generating a first producer score according to an embodiment of the present invention;

fig. 3 is a schematic flowchart illustrating a content score generation method for a book information producer according to an embodiment of the present invention;

fig. 4 is a schematic flowchart illustrating a method for generating a professional score of a book information producer according to an embodiment of the present invention;

FIG. 5 is a flowchart illustrating a method for generating a user interaction score of a book information producer according to an embodiment of the present invention;

FIG. 6 is a flowchart illustrating a method for normalizing a first producer score and a second producer score according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a computing device according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Fig. 1 is a flowchart illustrating a data processing method for a book information producer according to an embodiment of the present invention. The data processing method of the book information producer provided by the embodiment of the invention is executed on the side of an electronic book platform.

As shown in fig. 1, the embodiment of the present invention can generate a composite score for any producer of book information accessed by an e-book platform through the following steps S110 to S140. Wherein, the producer of the book information refers to the provider of the book information, such as the producer of a certain short video. The producer of the book information accessed by the e-book platform refers to the producer of the book information corresponding to the book information acquired or to be acquired by the e-book platform. Specifically, the method comprises the following steps:

step S110, generate the first producer score of the book information producer.

The electronic book platform is pre-configured with corresponding book information producer evaluation logic, and based on the relevant data corresponding to the book information producer on the electronic book platform, the evaluation logic can be used for evaluating the book information producer, so as to generate a first producer score of the book information producer.

Step S120, obtaining the second producer score of the book information producer from the third party platform.

In the actual implementation process, the e-book platform obtains the book information produced by the book information producer from the information production channel. The information production channel is embodied as a platform capable of producing information in addition to the electronic book platform. For example, the information production channel may be a video platform such as tremble, express, etc., a knowledge sharing platform such as a known, bean, etc., a social platform such as a microblog, a WeChat, etc., or other comprehensive platforms, etc.

The third party platform (e.g. the information production channel or a data analysis platform associated with the information production channel, etc. different from the e-book platform) will usually adopt the evaluation logic configured in the third party platform to evaluate the information producer in the information production channel according to the relevant data in the information production channel and generate the producer score corresponding to the information producer, and the producer score of the information producer in the third party platform is the second producer score. Wherein, a third party platform can correspond to one or more information production channels.

In the embodiment of the invention, besides the internal evaluation logic of the electronic book platform is adopted to evaluate the book information producer, the evaluation result aiming at the same book information producer is further obtained from the third party platform, and the evaluation result of the book information producer obtained from the third party platform is the second producer score of the book information producer.

In an alternative embodiment, in order to quickly and accurately obtain the second producer score, an information production channel to which the book information producer belongs may be determined, a channel-in user identifier of the book information producer in the information production channel may be determined, and the second producer score of the book information producer in the information production channel may be obtained from the third-party platform according to the channel-in user identifier.

Further optionally, the electronic book platform allocates producer identifiers in the electronic book platform to the accessed producer of the book information in advance, so as to manage the producer of the book information and the corresponding book information. Correspondingly, due to the high repetition rate of information such as user names, the information production channel can distribute unique in-channel user identification for the users. In addition, since the same book information producer may belong to one or more different information production channels, in order to ensure the accuracy of the obtained score of the second producer, the embodiment of the present invention further records the channel identifiers of the information production channels to which the book information producer belongs, and records the user identifiers of the book information producer in the channels of the information production channels to which the book information producer belongs. And the producer ID in the electronic book platform of the book information producer, the channel ID of each affiliated information production channel and the user ID in the channel of each affiliated information production channel are stored in association to generate an ID record table. When the second producer score is obtained, according to the producer mark in the electronic book platform of the book information producer, the information production channel to which the book information producer belongs is determined by searching the mark record table, the user mark in the channel of the information production channel to which the book information producer belongs is determined, and then the second producer score is obtained.

In this embodiment of the present invention, the execution sequence of step S110 and step S120 is not limited, and both steps may be executed concurrently, or may be executed sequentially according to any order.

Step S130, normalization processing is performed on the first producer score and the second producer score.

Because the electronic book platform and the third-party platform adopt different evaluation logics to evaluate book information producers, in order to unify the statistical standards of the scores of the first producer and the scores of the second producer and improve the accuracy of the finally obtained comprehensive producer, the step carries out normalization processing on the scores of the first producer and the scores of the second producer. The embodiment of the present invention does not limit the specific normalization processing method.

Step S140, generating a comprehensive producer score of the book information producer according to the normalization processing result.

Therefore, the embodiment of the invention aims at any book information producer accessed by the electronic book platform, and adopts the internal logic of the electronic book platform configured in advance by the electronic book platform to evaluate the book information producer, so as to obtain the first producer score of the book information producer; and obtaining a second producer score of the book information producer from the third party platform, and finally obtaining a composite producer score based on the first producer score and the second producer score. The first producer score and the second producer score are obtained based on different evaluation logics and different evaluation data, so that the book information producer can be comprehensively evaluated, and the scoring accuracy of the comprehensive producer is improved. Therefore, the release and management of book information can be carried out based on the comprehensive producer scores, the user experience is improved, and the user retention rate of the electronic book platform is improved; in addition, the embodiment of the invention performs normalization processing on the first producer score and the second producer score, obtains the comprehensive producer score according to the normalization processing result, and further improves the accuracy of the comprehensive producer score.

Fig. 2 is a flowchart illustrating a method for generating a first producer score according to an embodiment of the present invention. The first producer score generation method provided by the embodiment of the invention is further optimized for the data processing method of the book information producer in the first embodiment.

As shown in fig. 2, the method comprises the steps of:

step S210, generate the content score of the book information producer.

The content quality of the information produced by the book information producer has a direct impact on the user experience in the e-book platform. Based on this, the step evaluates the book information producer from the content dimension of the information produced by the book information producer to generate the content score of the book information producer.

In an alternative embodiment, in order to accurately obtain the book content score, the content score of the book information producer may be generated by using the steps shown in fig. 3. Fig. 3 is a flowchart illustrating a content score generation method for a book information producer according to an embodiment of the present invention, as shown in fig. 3, the method includes the following steps S211 to S213:

step S211, obtaining the information produced by the book information producer.

Step S212, for any information, the content of the information is evaluated to obtain the information content quality value of the information.

In order to perform content evaluation on information comprehensively and accurately, one or more of the following content evaluation methods may be used:

the first content evaluation method is to identify the electronic books and/or book authors associated with the information, and determine the reading association score of the information according to the identification result. Specifically, whether the information relates to the electronic book and/or the book author can be judged by analyzing the content of the information, and if the information relates to the electronic book and/or the book author, the reading relevance score of the information is higher; otherwise, if the information does not relate to the electronic book and the book writer, the reading relevance score of the information is lower. In the evaluation method, the relevance between the information and the reading can be fully reflected through the reading relevance score. In the embodiment of the invention, the information is displayed in the electronic book platform, and the user in the electronic book platform has higher requirement on the electronic book, so that the use experience of the user can be improved and the user retention rate of the electronic book platform can be improved when the correlation between the information and the reading is higher. Therefore, the evaluation mode can provide an accurate data basis for improving user experience and improving user retention rate.

And a second content evaluation mode, calculating the average explanation space of the electronic books corresponding to the information, and determining the book interpretation depth score of the information according to the average explanation space of the electronic books corresponding to the information. Specifically, if the electronic book associated with the information is zero, the average explanation space of the electronic book corresponding to the information is zero; if the electronic book related to the information is one, the average explanation space of the electronic book corresponding to the information is the total space of the information; if the number of the electronic books related to the information is multiple, the ratio of the total length of the information to the number of the related electronic books is used as the average explanation length of the electronic books corresponding to the information. The average explanation space of the electronic books can reflect the average explanation duration of the information for one electronic book. Through analysis of a large amount of data, it is found that the longer the average interpretation space of the electronic book is, the deeper the interpretation depth of the electronic book is, and the higher the reading interest of the user is, the more the book interpretation depth score in the content evaluation method is positively correlated to the average interpretation space of the electronic book. The content evaluation mode determines the book interpretation depth score of the information through the average explanation space of the electronic books, and can provide an effective data basis for subsequently improving the reading interest of the user and improving the retention rate of the platform.

And a third content evaluation method, searching similar information with the similarity higher than a preset threshold value with the information, and determining the originality score of the information according to the distribution time of the information and the distribution time of the similar information. The similarity between the information can be determined by calculating the similarity of the titles or keywords between the information, so as to screen out the similar information. If the similar information cannot be found, the originality of the information is high, if the similar information can be found and is different from an information producer of the information, the issuing time of the information and the issuing time of the similar information are further compared, and if the issuing time of the information is earlier than the issuing time of the similar information, the originality score of the information is high; if the release time of the information is later than that of the similar information, the originality score of the information is low. Through the analysis and discovery of a large amount of data, the user has higher viewing interest and viewing experience on the information with high originality, and therefore through determining the originality score of the information in the content evaluation mode, the reading interest of the user can be improved subsequently, and an effective data basis is provided for improving the retention rate of a platform.

Further, the information content quality value of the information is calculated according to the reading relevance score, the book interpretation depth score and/or the originality score of the information. For example, the sum of the reading relevance score, the book interpretation depth score and/or the originality score can be used as the information content quality value of the information.

Step S213, based on the information content quality value of the information produced by the book information producer, generating the content score of the book information producer.

The average value of the information content quality values corresponding to the book information producers can be calculated according to the information content quality values of all information produced by the book information producers, and the average value is used as the content score of the book information producers, so that the content score of the book information producers can reflect the average level of the information content quality of the book information producers.

Step S220, generating the professional grade of the book information producer.

The professional degree score reflects the professional degree of the book information producer in some aspect. Through research on a large amount of data, the higher the professional degree of a book information producer is, the higher the viewing experience of a user on the information produced by the book information producer is.

Alternatively, the steps shown in FIG. 4 may be employed to generate the expertise score. Fig. 4 is a flowchart illustrating a method for generating a professional score of a book information producer according to an embodiment of the present invention. As shown in fig. 4, the method includes steps S221 to S223 as follows.

Step S221, determine the information label of the information produced by the book information producer.

The e-book platform assigns corresponding information tags to the obtained information, and the information tags are used for identifying the categories of the information. For example, the information tags may be "History" and "Job" categories, wherein an information may correspond to one or more information tags. The step is to determine the information label corresponding to each information for each information produced by the book information producer.

Step S222, for any information label, counting the appearance ratio of the information label in the information produced by the book information producer.

Specifically, the information produced by the book information producer is traversed. Acquiring an information tag of the information aiming at the current traversed information, if the information tag does not appear in the current information tag record table, recording the information tag in the information tag record table, and recording the appearance frequency of the information tag as 1; if the information tag appears in the current information tag record table, adding 1 to the appearance frequency of the information tag; and repeating the steps until all the information produced by the book information producer is traversed.

And obtaining a final information label record table after traversing, calculating the sum of the occurrence times of all the information labels, and taking the ratio of the occurrence times of the information labels to the sum as the occurrence proportion of the information labels.

Step S223, generating the professional grade of the book information producer according to the appearance ratio.

If the appearance ratio of a certain information tag is larger than a preset ratio (if the appearance ratio is larger than 70%), the book information producer is indicated to have higher specialty in the corresponding type of the information tag, and the specialty score of the book information producer is higher; if the appearance ratio of any one information label is smaller than the preset ratio, the professional grade of the book information producer is lower.

In step S230, a user interaction score of the book information producer is generated.

The user interaction score of the book information producer can reflect the preference degree of the user for the information produced by the book information producer in the electronic book platform. In an alternative embodiment, the user interaction score may be generated by the steps shown in FIG. 5.

Fig. 5 is a flowchart illustrating a method for generating a user interaction score of a book information producer according to an embodiment of the present invention. As shown in fig. 5, the method includes steps S231 to S233 as follows.

Step S231, obtaining the information interaction data of the user in the e-book platform.

The user in the e-book platform may perform interactive operations such as viewing, praise, comment, forward, and/or read the associated e-book for any information presented in the e-book platform. The information interaction data obtained in this step may be specifically user interaction behavior data corresponding to each piece of information.

Step S232, according to the information interaction data, counting the number of user interactions of different interaction types corresponding to the book information producer.

The interaction types may include at least one of the following types: viewing, praise, comment, forward, and read the associated electronic book. In the execution process of the step, all information produced by the book information producer can be determined firstly. And for each piece of produced information, counting the number of user interactions of different interaction types corresponding to the information according to the information interaction data acquired in step S232. And finally, determining the user interaction times of different interaction types corresponding to the book information producer according to the sum of the user interaction data of different interaction types corresponding to each piece of produced information.

Step S233, generating a user interaction score of the book information producer according to the user interaction times of different interaction types corresponding to the book information producer.

Optionally, the user preference degrees corresponding to different interaction types are different. For example, the user preference level for interaction type of like is higher than the user preference level for interaction of view. The embodiment of the present invention configures corresponding weight coefficients for different interaction types in advance, and the weight coefficient of an interaction type is positively correlated to the user preference degree corresponding to the interaction type. In this step, a weighted sum value is determined by a weighted sum method according to the number of user interactions of different interaction types corresponding to the book information producer and the weight coefficients of different interaction types, and then a user interaction score is generated according to the weighted sum value.

Step S240, generating a first producer score of the book information producer according to the content score, the professional score and/or the user interaction score of the book information producer.

Optionally, the sum of the content score, the professional score, and/or the user interaction score of the book information producer, or the average of the content score, the professional score, and/or the user interaction score may be used as the first producer score of the book information producer.

It should be understood herein that the dimensions of the above-mentioned respective evaluation book information producers are obtained based on historical test data. Specifically, a test set is configured in advance, the test set contains information produced by different book information producers, and the information is displayed in the electronic book platform. Further counting a change curve of the retention rate or the user activity of the electronic book platform along with time in a preset time window, and counting a change curve of the information evaluation value along with time in each test dimension in the preset time window, and then determining the test dimension which has the greatest influence on the retention rate or the user activity of the electronic book platform as the content quality of the information produced by the book information producer, the specialty of the book information producer, and the preference degree dimension of the user on the information produced by the book information producer by adopting a multi-factor variance analysis algorithm.

Therefore, the embodiment of the invention evaluates the book information producer according to the content quality of the information produced by the book information producer, the professional degree of the book information producer and the preference degree dimension of the user on the information produced by the book information producer, so that the scoring accuracy of the first producer can be improved.

Fig. 6 is a flowchart illustrating a method for normalizing a first producer score and a second producer score according to an embodiment of the present invention. The method for normalizing the first producer score and the second producer score provided by the embodiment of the invention is further optimized in the first embodiment.

As shown in fig. 6, the method includes the steps of:

step S610, a normalization coefficient is determined.

In an alternative embodiment, the maximum first producer score is determined from the first producer scores of the various producers of book information in the e-book platform; and aiming at any information production channel to which the book information producer belongs, determining the second producer score of each information producer in the information production channel from the third-party platform corresponding to the information production channel, and determining the maximum second producer score from the second producer scores of each information producer.

Specifically, the e-book platform obtains the first producer score of each book information producer through evaluation of each accessed book information producer, so as to determine the maximum value of the first producer score from the obtained first producer scores, wherein the maximum value is the maximum first producer score; and the number of the information production channels to which the book information producers belong can be one or more, and for each affiliated information production channel, a corresponding third-party platform evaluates the information producers in the information production channel so as to obtain the second producer scores of each information producer, and then the maximum value of the second producer scores in the information production channels is the maximum second producer score corresponding to the information production channel. Therefore, any information production channel to which the book information producer belongs has the maximum second producer score corresponding to the book information producer. For example, if the information production channels to which the book information producers belong are channel a and channel B, the second producer score of each information producer in channel a is obtained from the third-party platform X corresponding to channel a, so as to obtain the maximum second producer score P1 of channel a; and obtaining a second producer score of each information producer in the channel B from the third-party platform Y corresponding to the channel B, thereby obtaining a maximum second producer score P2 of the channel B.

The ratio of the maximum second producer score to the maximum first producer score is further used as a normalization factor. Each information production channel to which the book information producer belongs corresponds to a maximum second producer score, thereby corresponding to a normalization coefficient for each information production channel. Along the above example, channel A corresponds to a normalized coefficient of P1/P (P is the maximum first producer score) and channel B corresponds to a normalized coefficient of P2/P.

In yet another alternative embodiment, the maximum first producer score and the minimum first producer score are determined from the first producer scores of the various book information producers in the e-book platform; and aiming at any information production channel to which the book information producer belongs, determining the second producer score of each information producer in the information production channel from the third-party platform corresponding to the information production channel, and determining the maximum second producer score and the minimum second producer score from the second producer scores of each information producer.

Further, a first difference of the maximum first producer score and the minimum first producer score is calculated, and a second difference of the maximum second producer score and the minimum second producer score is calculated. And taking the ratio of the second difference value to the first difference value as a normalization coefficient. Wherein each information production channel to which the book information producer belongs corresponds to a second difference value, thereby corresponding to a normalization coefficient for each information production channel. For example, a maximum first producer score P and a minimum first producer score P0 are determined from the first producer scores of the various book information producers in the e-book platform; if the information production channels to which the book information producers belong are channel A and channel B, obtaining the second producer score of each information producer in channel A from the third-party platform X corresponding to channel A, thereby obtaining the maximum second producer score P1 and the minimum second producer score P3 of channel A; and acquiring second producer scores of all the information producers in the channel B from the third-party platform Y corresponding to the channel B, thereby acquiring the maximum second producer score P2 and the minimum second producer score P4 of the channel B. The first difference is P-P0, the second difference for channel a is P1-P3, and the second difference for channel B is P2-P4. Therefore, the normalization coefficient corresponding to the channel A is (P1-P3)/(P-P0), and the normalization coefficient corresponding to the channel B is (P2-P4)/(P-P0).

Optionally, data required for calculating the normalization coefficient may be acquired in real time, so as to dynamically determine the normalization coefficient, and the determined normalization coefficient may be adapted to an actual situation; or the data required by the normalization coefficient can be acquired regularly, so that the normalization coefficient is updated regularly to save system resources.

Step S620, using the normalization coefficient to correct the first producer score of the book information producer to obtain the corrected first producer score; or, the second producer score of the book information producer is corrected by using the normalization coefficient to obtain a corrected second producer score.

In an alternative embodiment, the second producer score is modified based on the first producer score. Specifically, the ratio of the second producer score of the book information producer to the normalization coefficient is used as the corrected second producer score. Wherein, if the book information producer belongs to a plurality of information production channels, the ratio of the second producer score corresponding to the information production channel to the normalization coefficient corresponding to the information channel is used as the second producer score after the information production channel is corrected aiming at any information production channel.

For example, the information production channels to which the book information producers belong are channel A and channel B, the normalized coefficient corresponding to channel A is P1/P, and the score corresponding to the second producer is PA; the normalization coefficient corresponding to the channel B is P2/P, the corresponding second producer score is PB, and the corrected second producer score corresponding to the channel A is PA/(P1/P); the corrected second producer score corresponding to channel B is PB/(P1/P).

In another alternative embodiment, the first producer score is modified based on the second producer score. Specifically, the product of the first producer score of the book information producer and the normalization coefficient is used as the corrected first producer score. If the channels to which the book information producers belong are multiple, selecting a second producer score corresponding to any one channel as a reference, and taking the product of a normalization coefficient (hereinafter referred to as a standard normalization coefficient) corresponding to the channel and the first producer score as a corrected first producer score; and aiming at other channels, calculating the ratio of the normalization coefficient corresponding to the other channels to the standard normalization coefficient, and taking the ratio of the second producer score corresponding to the other channels to the ratio as the corrected second producer score corresponding to the other channels.

For example, the information production channels to which the book information producers belong are channel A and channel B, the normalized coefficient corresponding to channel A is P1/P, and the score corresponding to the second producer is PA; the normalization coefficient corresponding to the channel B is P2/P, and the corresponding second producer score is PB; the first producer of the book information producers scores PC. And taking the normalization coefficient P1/P corresponding to the channel A as a standard normalization coefficient, the corrected first producer score is PC P1/P, and the corrected second producer score corresponding to the channel B is (P1/P2) PB.

Step S630, generating a comprehensive producer score of the book information producer according to the corrected first producer score of the book information producer and the second producer score of the book information producer; or; generating a comprehensive producer score of the book information producer according to the first producer score of the book information producer and the corrected second producer score of the book information producer.

If the first producer score is used as the reference in step S620, a comprehensive producer score of the book information producer is generated according to the first producer score of the book information producer and the corrected second producer score of the book information producer.

If the second producer score is used as the reference in step S620, a comprehensive producer score of the book information producer is generated according to the corrected first producer score of the book information producer and the second producer score of the book information producer. Wherein if the information production channel to which the book information producer belongs is single, generating a comprehensive producer score of the book information producer only according to the corrected first producer score of the book information producer and the second producer score of the book information producer; if the book information producer belongs to a plurality of information production channels, generating a comprehensive producer score of the book information producer according to the corrected first producer score, the second producer score serving as a reference and other corrected second producer scores of the book information producer.

Therefore, the normalization coefficient can be determined according to the maximum value or the difference value between the maximum value and the minimum value in the electronic book platform and the third-party platform, and the normalization processing is performed based on the normalization coefficient, so that the efficiency and the precision of the normalization processing can be improved.

Embodiments of the present invention provide a non-volatile computer storage medium, where at least one executable instruction is stored in the computer storage medium, and the computer executable instruction may execute the method in any of the above method embodiments.

The executable instructions may be specifically configured to cause the processor to: generating a first producer score of the book information producer aiming at any book information producer accessed by the electronic book platform; and obtaining a second producer score of the book information producer from a third party platform; normalizing the first producer score and the second producer score; generating a comprehensive producer score of the book information producer according to the normalization processing result.

In an alternative embodiment, the executable instructions cause the processor to: obtaining the information produced by the book information producer; for any information, performing content evaluation on the information to obtain an information content quality value of the information; generating a content score of the book information producer based on the information content quality value of the information produced by the book information producer; generating a first producer score of the book information producer based on the content score of the book information producer.

In an alternative embodiment, the executable instructions cause the processor to: identifying the electronic books and/or book authors related to the information, and determining the reading relevance score of the information according to the identification result; and/or calculating the average explanation space of the electronic books corresponding to the information, and determining the book interpretation depth score of the information according to the average explanation space of the electronic books corresponding to the information; and/or searching for similar information with the similarity higher than a preset threshold value, and determining the originality score of the information according to the release time of the information and the release time of the similar information; and calculating the information content quality value of the information according to the reading relevance score, the book interpretation depth score and/or the originality score of the information.

In an alternative embodiment, the executable instructions cause the processor to: determining the information label of the information produced by the book information producer; for any information label, counting the appearance proportion of the information label in the information produced by the book information producer; generating a professional grade of the book information producer according to the appearance proportion; generating a first producer score of the book information producer based on the professional score of the book information producer.

In an alternative embodiment, the executable instructions cause the processor to: acquiring information interaction data of a user in an electronic book platform; according to the information interaction data, counting the user interaction times of different interaction types corresponding to the book information producer; generating a user interaction score of the book information producer according to the user interaction times of different interaction types corresponding to the book information producer; generating a first producer score of the book information producer according to the user interaction score of the book information producer.

In an alternative embodiment, the executable instructions cause the processor to: determining the maximum first producer score from the first producer scores of all book information producers in the electronic book platform; and aiming at any information production channel to which the book information producer belongs, determining a second producer score of each information producer in the information production channel from a third-party platform corresponding to the information production channel, and determining a maximum second producer score from the second producer scores of each information producer; taking the ratio of the maximum second producer score to the maximum first producer score as a normalization coefficient; correcting the first producer score of the book information producer by using the normalization coefficient to obtain a corrected first producer score; or, the normalized coefficient is used to modify the second producer score of the book information producer to obtain a modified second producer score.

In an alternative embodiment, the executable instructions cause the processor to: determining a maximum first producer score and a minimum first producer score from first producer scores of various book information producers in the electronic book platform; and aiming at any information production channel to which the book information producer belongs, determining a second producer score of each information producer in the information production channel from a third-party platform corresponding to the information production channel, and determining a maximum second producer score and a minimum second producer score from the second producer scores of each information producer; calculating a first difference of the maximum first producer score and the minimum first producer score, and calculating a second difference of the maximum second producer score and the minimum second producer score; taking the ratio of the second difference value to the first difference value as a normalization coefficient; correcting the first producer score of the book information producer by using the normalization coefficient to obtain a corrected first producer score; or, the normalized coefficient is used to modify the second producer score of the book information producer to obtain a modified second producer score.

In an alternative embodiment, the executable instructions cause the processor to: taking the product of the first producer score of the book information producer and the normalization coefficient as a modified first producer score; taking the ratio of the second producer score of the book information producer and the normalization coefficient as a modified second producer score; generating a comprehensive producer score of the book information producer according to the corrected first producer score of the book information producer and a second producer score of the book information producer; or; generating a comprehensive producer score of the book information producer according to the first producer score of the book information producer and the corrected second producer score of the book information producer.

In an alternative embodiment, the executable instructions cause the processor to: determining an information production channel to which the book information producer belongs, and determining a user identifier of the book information producer in the channel of the information production channel to which the book information producer belongs; and acquiring a second producer score of the book information producer in the information production channel from the third-party platform according to the user identifier in the channel.

In an alternative embodiment, the executable instructions cause the processor to: before determining the information production channel to which the book information producer belongs and determining the user identifier of the book information producer in the channel of the information production channel, allocating producer identifiers in an electronic book platform to the book information producer in advance; recording channel identifications of all the information production channels to which the book information producers belong, and recording user identifications of the book information producers in the channels of all the information production channels to which the book information producers belong; the producer mark in the electronic book platform of the book information producer, the channel mark of each affiliated information production channel and the user mark in the channel of each affiliated information production channel are stored in a correlated manner to generate a mark record table; the determining the information production channel to which the book information producer belongs and the determining the user identifier of the book information producer in the channel of the information production channel further comprises: according to the producer mark in the electronic book platform of the book information producer, determining the information production channel to which the book information producer belongs by searching the mark record table, and determining the user mark of the book information producer in the channel of the information production channel to which the book information producer belongs.

Therefore, the embodiment of the invention can comprehensively evaluate the book information producer and improve the scoring accuracy of the comprehensive producer. Therefore, the release and management of book information can be carried out based on the comprehensive producer scores, the user experience is improved, and the user retention rate of the electronic book platform is improved.

Fig. 7 is a schematic structural diagram of a computing device according to an embodiment of the present invention. The specific embodiments of the present invention are not intended to limit the specific implementations of computing devices.

As shown in fig. 7, the computing device may include: a processor (processor)702, a Communications Interface 704, a memory 706, and a communication bus 708.

Wherein: the processor 702, communication interface 704, and memory 706 communicate with each other via a communication bus 708. A communication interface 704 for communicating with network elements of other devices, such as clients or other servers. The processor 702 is configured to execute the program 710, and may specifically execute the relevant steps in the foregoing method embodiments.

In particular, the program 710 may include program code that includes computer operating instructions.

The processor 702 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

The memory 706 stores a program 710. Memory 606 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 710 may specifically be used to cause the processor 702 to perform the following operations: generating a first producer score of the book information producer aiming at any book information producer accessed by the electronic book platform; and obtaining a second producer score of the book information producer from a third party platform; normalizing the first producer score and the second producer score; generating a comprehensive producer score of the book information producer according to the normalization processing result.

In an alternative embodiment, the process 710 can be specifically configured to cause the processor 702 to obtain information produced by the book information producer; for any information, performing content evaluation on the information to obtain an information content quality value of the information; generating a content score of the book information producer based on the information content quality value of the information produced by the book information producer; generating a first producer score of the book information producer based on the content score of the book information producer.

In an alternative embodiment, the process 710 may be specifically configured to enable the processor 702 to identify an electronic book and/or a book author associated with the information, and determine a reading association score of the information according to the identification result; and/or calculating the average explanation space of the electronic books corresponding to the information, and determining the book interpretation depth score of the information according to the average explanation space of the electronic books corresponding to the information; and/or searching for similar information with the similarity higher than a preset threshold value, and determining the originality score of the information according to the release time of the information and the release time of the similar information; and calculating the information content quality value of the information according to the reading relevance score, the book interpretation depth score and/or the originality score of the information.

In an alternative embodiment, the process 710 may be specifically configured to cause the processor 702 to determine the information tags of the information produced by the book information producer; for any information label, counting the appearance proportion of the information label in the information produced by the book information producer; generating a professional grade of the book information producer according to the appearance proportion; generating a first producer score of the book information producer based on the professional score of the book information producer.

In an alternative embodiment, the program 710 may be specifically configured to enable the processor 702 to obtain information interaction data of a user in an ebook platform; according to the information interaction data, counting the user interaction times of different interaction types corresponding to the book information producer; generating a user interaction score of the book information producer according to the user interaction times of different interaction types corresponding to the book information producer; generating a first producer score of the book information producer according to the user interaction score of the book information producer.

In an alternative embodiment, the process 710 may be specifically configured to cause the processor 702 to determine a maximum first producer score from the first producer scores of the various producers of book information in the e-book platform; and aiming at any information production channel to which the book information producer belongs, determining a second producer score of each information producer in the information production channel from a third-party platform corresponding to the information production channel, and determining a maximum second producer score from the second producer scores of each information producer; taking the ratio of the maximum second producer score to the maximum first producer score as a normalization coefficient; correcting the first producer score of the book information producer by using the normalization coefficient to obtain a corrected first producer score; or, the normalized coefficient is used to modify the second producer score of the book information producer to obtain a modified second producer score.

In an alternative embodiment, the process 710 may be specifically configured to cause the processor 702 to determine a maximum first producer score and a minimum first producer score from first producer scores of various producers of book information in the e-book platform; and aiming at any information production channel to which the book information producer belongs, determining a second producer score of each information producer in the information production channel from a third-party platform corresponding to the information production channel, and determining a maximum second producer score and a minimum second producer score from the second producer scores of each information producer; calculating a first difference of the maximum first producer score and the minimum first producer score, and calculating a second difference of the maximum second producer score and the minimum second producer score; taking the ratio of the second difference value to the first difference value as a normalization coefficient; correcting the first producer score of the book information producer by using the normalization coefficient to obtain a corrected first producer score; or, the normalized coefficient is used to modify the second producer score of the book information producer to obtain a modified second producer score.

In an alternative embodiment, the process 710 may be specifically configured to cause the processor 702 to perform the operations of taking a product of a first producer score of the book information producer and the normalization coefficient as a modified first producer score; taking the ratio of the second producer score of the book information producer and the normalization coefficient as a modified second producer score; generating a comprehensive producer score of the book information producer according to the corrected first producer score of the book information producer and a second producer score of the book information producer; or; generating a comprehensive producer score of the book information producer according to the first producer score of the book information producer and the corrected second producer score of the book information producer.

In an alternative embodiment, the process 710 may be specifically configured to cause the processor 702 to determine an information production channel to which the book information producer belongs and determine a user identification of the book information producer within the channel of the information production channel to which the book information producer belongs; and acquiring a second producer score of the book information producer in the information production channel from the third-party platform according to the user identifier in the channel.

In an alternative embodiment, the process 710 can be specifically configured to cause the processor 702 to assign an in-E-book platform producer ID to the book information producer in advance before determining the information production channel to which the book information producer belongs and determining a user ID of the book information producer in the channel of the information production channel to which the book information producer belongs; recording channel identifications of all the information production channels to which the book information producers belong, and recording user identifications of the book information producers in the channels of all the information production channels to which the book information producers belong; the producer mark in the electronic book platform of the book information producer, the channel mark of each affiliated information production channel and the user mark in the channel of each affiliated information production channel are stored in a correlated manner to generate a mark record table; the determining the information production channel to which the book information producer belongs and the determining the user identifier of the book information producer in the channel of the information production channel further comprises: according to the producer mark in the electronic book platform of the book information producer, determining the information production channel to which the book information producer belongs by searching the mark record table, and determining the user mark of the book information producer in the channel of the information production channel to which the book information producer belongs.

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.

The invention discloses: A1. a data processing method for book information producer includes:

normalizing the first producer score and the second producer score;

A2. The method of a1, wherein the generating a first producer score for the book information producer further comprises:

obtaining the information produced by the book information producer;

for any information, performing content evaluation on the information to obtain an information content quality value of the information;

generating a content score of the book information producer based on the information content quality value of the information produced by the book information producer;

generating a first producer score of the book information producer based on the content score of the book information producer.

A3. The method of a2, wherein the evaluating content of the information to obtain an information content quality value for the information further comprises:

identifying the electronic books and/or book authors related to the information, and determining the reading relevance score of the information according to the identification result;

and/or calculating the average explanation space of the electronic books corresponding to the information, and determining the book interpretation depth score of the information according to the average explanation space of the electronic books corresponding to the information;

and/or searching for similar information with the similarity higher than a preset threshold value, and determining the originality score of the information according to the release time of the information and the release time of the similar information;

and calculating the information content quality value of the information according to the reading relevance score, the book interpretation depth score and/or the originality score of the information.

A4. The method of any one of a1-A3, wherein the generating a first producer score for the book information producer further comprises:

determining the information label of the information produced by the book information producer;

for any information label, counting the appearance proportion of the information label in the information produced by the book information producer;

generating a professional grade of the book information producer according to the appearance proportion;

generating a first producer score of the book information producer based on the professional score of the book information producer.

A5. The method of any one of a1-a4, wherein the generating a first producer score for the book information producer further comprises:

acquiring information interaction data of a user in an electronic book platform;

according to the information interaction data, counting the user interaction times of different interaction types corresponding to the book information producer;

generating a user interaction score of the book information producer according to the user interaction times of different interaction types corresponding to the book information producer;

generating a first producer score of the book information producer according to the user interaction score of the book information producer.

A6. The method of any one of a1-a5, wherein the normalizing the first producer score and the second producer score further comprises:

determining the maximum first producer score from the first producer scores of all book information producers in the electronic book platform; and

aiming at any information production channel to which the book information producer belongs, determining a second producer score of each information producer in the information production channel from a third-party platform corresponding to the information production channel, and determining a maximum second producer score from the second producer scores of each information producer;

taking the ratio of the maximum second producer score to the maximum first producer score as a normalization coefficient;

correcting the first producer score of the book information producer by using the normalization coefficient to obtain a corrected first producer score; or, the normalized coefficient is used to modify the second producer score of the book information producer to obtain a modified second producer score.

A7. The method of any one of a1-a5, wherein the normalizing the first producer score and the second producer score further comprises:

determining a maximum first producer score and a minimum first producer score from first producer scores of various book information producers in the electronic book platform; and

according to any information production channel to which the book information producer belongs, determining a second producer score of each information producer in the information production channel from a third-party platform corresponding to the information production channel, and determining a maximum second producer score and a minimum second producer score from the second producer scores of each information producer;

calculating a first difference of the maximum first producer score and the minimum first producer score, and calculating a second difference of the maximum second producer score and the minimum second producer score;

taking the ratio of the second difference value to the first difference value as a normalization coefficient;

A8. The method according to a6 or a7, wherein the modifying the first producer score of the book information producer using the normalization factor to obtain a modified first producer score further comprises: taking the product of the first producer score of the book information producer and the normalization coefficient as a modified first producer score;

the modifying the second producer score of the book information producer using the normalization coefficient to obtain a modified second producer score further comprises: taking the ratio of the second producer score of the book information producer and the normalization coefficient as a modified second producer score;

generating a comprehensive producer score for the book information producer based on the normalization processing result further comprises: generating a comprehensive producer score of the book information producer according to the corrected first producer score of the book information producer and a second producer score of the book information producer; or generating a comprehensive producer score of the book information producer according to the first producer score of the book information producer and the corrected second producer score of the book information producer.

A9. The method of any one of claims a1-A8, wherein the obtaining a second producer score for the book information producer from a third party platform further comprises:

determining an information production channel to which the book information producer belongs, and determining a user identifier of the book information producer in the channel of the information production channel to which the book information producer belongs;

and acquiring a second producer score of the book information producer in the information production channel from the third-party platform according to the user identifier in the channel.

A10. The method according to a9, wherein before the determining the information production channel to which the book information producer belongs and determining the user id of the book information producer in the channel of the information production channel to which the book information producer belongs, the method further comprises:

pre-assigning producer ID in the electronic book platform to the producer of the book information;

recording channel identifications of all the information production channels to which the book information producers belong, and recording user identifications of the book information producers in the channels of all the information production channels to which the book information producers belong;

the producer mark in the electronic book platform of the book information producer, the channel mark of each affiliated information production channel and the user mark in the channel of each affiliated information production channel are stored in a correlated manner to generate a mark record table;

the determining the information production channel to which the book information producer belongs and the determining the user identifier of the book information producer in the channel of the information production channel further comprises: according to the producer mark in the electronic book platform of the book information producer, determining the information production channel to which the book information producer belongs by searching the mark record table, and determining the user mark of the book information producer in the channel of the information production channel to which the book information producer belongs.

The invention also discloses: B11. a computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

normalizing the first producer score and the second producer score;

B12. The computing device of B11, wherein the executable instructions cause the processor to:

obtaining the information produced by the book information producer;

B13. The computing device of B12, wherein the executable instructions cause the processor to:

B14. The computing device of any one of B11-B13, wherein the executable instructions cause the processor to:

B15. The computing device of any one of B11-B14, wherein the executable instructions cause the processor to:

B16. The computing device of any one of B11-B15, wherein the executable instructions cause the processor to:

B17. The computing device of any one of B11-B15, wherein the executable instructions cause the processor to:

B18. The computing device of B16 or B17, wherein the executable instructions cause the processor to:

taking the product of the first producer score of the book information producer and the normalization coefficient as a modified first producer score;

taking the ratio of the second producer score of the book information producer and the normalization coefficient as a modified second producer score;

generating a comprehensive producer score of the book information producer according to the corrected first producer score of the book information producer and a second producer score of the book information producer; or generating a comprehensive producer score of the book information producer according to the first producer score of the book information producer and the corrected second producer score of the book information producer.

B19. The computing device of any one of B11-B18, wherein the executable instructions cause the processor to:

B20. The computing device of B19, wherein the executable instructions cause the processor to:

before determining the information production channel to which the book information producer belongs and determining the user identifier of the book information producer in the channel of the information production channel, allocating producer identifiers in an electronic book platform to the book information producer in advance;

The invention also discloses: C21. a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the data processing method of a book information producer as described in any one of a1-a 10.

Claims

1. A data processing method for book information producer includes:

normalizing the first producer score and the second producer score;

2. The method of claim 1, wherein the generating a first producer score for the book information producer further comprises:

obtaining the information produced by the book information producer;

3. The method of claim 2, wherein said content evaluating the information to obtain an information content quality value for the information further comprises:

4. The method of any one of claims 1-3, wherein said generating a first producer score for the book information producer further comprises:

5. The method of any one of claims 1-4, wherein said generating a first producer score for the book information producer further comprises:

6. The method of any of claims 1-5, wherein the normalizing the first producer score and the second producer score further comprises:

7. The method of any of claims 1-5, wherein the normalizing the first producer score and the second producer score further comprises:

8. The method of claim 6 or 7, wherein the modifying the first producer score of the book information producer using the normalization factor to obtain a modified first producer score further comprises: taking the product of the first producer score of the book information producer and the normalization coefficient as a modified first producer score;

9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

normalizing the first producer score and the second producer score;

10. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the data processing method of a book information producer according to any one of claims 1 to 8.