CN111105226B

CN111105226B - Method and equipment for subscribing novel chapter

Info

Publication number: CN111105226B
Application number: CN201911137469.9A
Authority: CN
Inventors: 肖青; 童小林
Original assignee: Shanghai Lianshang Network Technology Co Ltd
Current assignee: Shanghai Lianshang Network Technology Co Ltd
Priority date: 2019-11-19
Filing date: 2019-11-19
Publication date: 2024-02-13
Anticipated expiration: 2039-11-19
Also published as: CN111105226A

Abstract

The purpose of the application is to provide a method and equipment for subscribing to novel chapters, wherein the method comprises the following steps: receiving a batch subscription chapter request about a target novel in a reading application, which is sent by user equipment; responding to the batch subscription chapter request, and determining recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information; generating corresponding batch subscription page information; and returning the batch subscription page information to the user equipment as response information of the batch subscription chapter request. The recommended subscription data information which accords with the reading capability of the user is matched for the user, the user does not need to think and manually select the novel section which is required to be subscribed, the probability of batch subscription of the user is improved, and the benefit of a novel section provider is also facilitated. Meanwhile, the recommendation subscription data information corresponding to each user is rapidly and effectively determined through the subscription statistical model information.

Description

Method and equipment for subscribing novel chapter

Technical Field

The present application relates to the field of communications, and more particularly, to a technique for subscribing to novel chapters.

Background

With the development of the age, reading has become a part of people's daily life, and more users read through reading applications. When the user subscribes to the novel chapters, each chapter to be subscribed needs to be selected manually, or a subscription button is presented in the first reading page of the novel chapter to be subscribed, and the user subscribes to the novel chapter currently read in real time by clicking the subscription button.

Disclosure of Invention

An object of the present application is to provide a method and apparatus for subscribing to novel sections.

According to one aspect of the present application, there is provided a method for subscribing to a novel section at a network device, the method comprising:

receiving a batch subscription chapter request about a target novel in a reading application, wherein the batch subscription chapter request is sent by user equipment in response to a batch subscription triggering operation executed by a user in a reading page of the target novel;

responding to the batch subscription chapter request, and determining recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information;

generating corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information;

And returning the batch subscription page information to the user equipment as response information of the batch subscription chapter request.

According to another aspect of the present application, there is provided a method for subscribing to a novel section at a user equipment, the method comprising:

responding to batch subscription triggering operation executed by a user in a reading page of a target novel, and sending a batch subscription chapter request about the target novel in a reading application to corresponding network equipment;

and receiving and presenting batch subscription page information returned by the network device in response to the batch subscription chapter request, wherein the batch subscription page information comprises recommended subscription data information about the target novels.

According to yet another aspect of the present application, there is provided a method for subscribing to a novel section at a user equipment, the method comprising:

responding to batch subscription triggering operation executed by a user in a reading page of a target novel, and determining recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information;

and generating and presenting corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information.

According to one aspect of the present application, there is provided a method for subscribing to a novel section, the method comprising:

the method comprises the steps that user equipment responds to batch subscription triggering operation executed by a user in a reading page of a target novel, and a batch subscription chapter request about the target novel in a reading application is sent to corresponding network equipment;

the network equipment receives the batch subscription chapter request, determines recommended subscription data information corresponding to the user according to the reading capability information of the user and combines subscription statistical model information, and generates corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information, and the batch subscription page information is returned to the user equipment as response information of the batch subscription chapter request;

the user equipment receives and presents the batch subscription page information.

According to one aspect of the present application, there is provided a network device for subscribing to a novel section, the device comprising:

a module, configured to receive a batch subscription chapter request about a target novel in a reading application sent by a user device, where the batch subscription chapter request is sent by the user device in response to a batch subscription triggering operation performed by a user in a reading page of the target novel;

The second module is used for responding to the batch subscription chapter request, determining recommended subscription data information corresponding to the user according to the reading capability information of the user and combining subscription statistical model information;

the three modules are used for generating corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information;

and the four modules are used for returning the batch subscription page information to the user equipment as response information of the batch subscription chapter request.

According to another aspect of the present application, there is provided a user equipment for subscribing to a novel section, the equipment comprising:

the second module is used for responding to batch subscription triggering operation executed by a user in a reading page of a target novel and sending a batch subscription chapter request about the target novel in a reading application to corresponding network equipment;

and the second module is used for receiving and presenting batch subscription page information returned by the network equipment in response to the batch subscription chapter request, wherein the batch subscription page information comprises recommended subscription data information about the target novels.

According to yet another aspect of the present application, there is provided a user equipment for subscribing to a novel section, the apparatus comprising:

The third module is used for responding to batch subscription triggering operation executed by the user in the reading page of the target novel, and determining recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information;

and the third module is used for generating and presenting corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information.

According to one aspect of the present application, there is provided an apparatus for subscribing to a novel section, the apparatus comprising:

a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the operations of any of the methods described above.

According to another aspect of the present application, there is provided a computer readable medium storing instructions that, when executed, cause a system to perform the operations of any of the methods described above.

Compared with the prior art, the method and the device for subscribing the chapter request in batches respond to the chapter request in batches, determine recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information, so as to generate the corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information. Therefore, the recommendation data information matched with the user is determined for the user, and the recommendation data information is generated according to the reading capability information of the user, so that the recommendation data information matched with the reading capability of the user is matched for the user while the batch subscription operation of the user is saved, the user does not need to think and manually select the novel section to be subscribed, the probability of batch subscription of the user is improved, and the benefit of a novel section provider is also facilitated. Meanwhile, the recommendation subscription data information corresponding to each user is rapidly and effectively determined through the subscription statistical model information.

Further, the subscription statistical model information in the application comprises first subscription statistical model information, second subscription statistical model information and third subscription statistical model information. Through the first subscription statistical model information, the second subscription statistical model information and the third subscription statistical model information, the statistical analysis of all reading users, all novel books and all novel books read by each user is respectively covered, so that the purpose of better determining recommended subscription data information for the users is achieved.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:

FIG. 1 illustrates a system topology for subscribing to a novel section according to one embodiment of the present application;

FIG. 2 illustrates a flow chart of a method for subscribing to a novel section according to one embodiment of the present application;

FIG. 3 illustrates a flow chart of a method at a network device for subscribing to novel sections in accordance with one embodiment of the present application;

FIG. 4 illustrates a flow chart of a method at a user device for subscribing to novel chapters in accordance with another embodiment of the present application;

FIG. 5 illustrates a flow chart of a method at a user device for subscribing to novel chapters in accordance with yet another embodiment of the present application;

FIG. 6 illustrates a schematic diagram of first subscription statistical model information, according to one embodiment of the present application;

FIG. 7 illustrates a schematic diagram of second subscription statistical model information, according to one embodiment of the present application;

FIG. 8 illustrates a schematic diagram of third subscription statistical model information according to one embodiment of the present application;

FIG. 9 illustrates a user interface schematic diagram according to one embodiment of the present application;

FIG. 10 illustrates a user interface schematic diagram according to one embodiment of the present application;

FIG. 11 illustrates a user interface schematic diagram according to one embodiment of the present application;

FIG. 12 illustrates a user interface schematic diagram according to one embodiment of the present application;

FIG. 13 illustrates a user interface schematic diagram according to one embodiment of the present application;

FIG. 14 illustrates a user interface schematic diagram according to one embodiment of the present application;

FIG. 15 illustrates a user interface schematic diagram according to one embodiment of the present application;

FIG. 16 illustrates a device block diagram of a network device according to one embodiment of the present application;

fig. 17 shows a device block diagram of a user device according to another embodiment of the present application;

Fig. 18 shows a device block diagram of a user device according to yet another embodiment of the present application;

FIG. 19 illustrates functional modules of an exemplary system that may be used with embodiments of the present application.

The same or similar reference numbers in the drawings refer to the same or similar parts.

Detailed Description

The present application is described in further detail below with reference to the accompanying drawings.

In one typical configuration of the present application, the terminal, the devices of the services network, and the trusted party each include one or more processors (e.g., central processing units (Central Processing Unit, CPU)), input/output interfaces, network interfaces, and memory.

The Memory may include non-volatile Memory in a computer readable medium, random access Memory (Random Access Memory, RAM) and/or non-volatile Memory, etc., such as Read Only Memory (ROM) or Flash Memory (Flash Memory). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase-Change Memory (PCM), programmable Random Access Memory (Programmable Random Access Memory, PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (Dynamic Random Access Memory, DRAM), other types of Random Access Memory (RAM), read-Only Memory (ROM), electrically erasable programmable read-Only Memory (EEPROM), flash Memory or other Memory technology, read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), digital versatile disks (Digital Versatile Disc, DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by the computing device.

The device referred to in the present application includes, but is not limited to, a user device, a network device, or a device formed by integrating a user device and a network device through a network. The user equipment includes, but is not limited to, any mobile electronic product which can perform man-machine interaction with a user (such as man-machine interaction through a touch pad), for example, a smart phone, a tablet computer and the like, and the mobile electronic product can adopt any operating system, for example, an android operating system, an iOS operating system and the like. The network device includes an electronic device capable of automatically performing numerical calculation and information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a digital signal processor (Digital Signal Processor, DSP), an embedded device, and the like. The network device includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a cloud of servers; here, the Cloud is composed of a large number of computers or network servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, a virtual supercomputer composed of a group of loosely coupled computer sets. Including but not limited to the internet, wide area networks, metropolitan area networks, local area networks, VPN networks, wireless Ad Hoc networks (Ad Hoc networks), and the like. Preferably, the device may be a program running on the user device, the network device, or a device formed by integrating the user device and the network device, the touch terminal, or the network device and the touch terminal through a network.

Of course, those skilled in the art will appreciate that the above-described devices are merely examples, and that other devices now known or hereafter may be present as appropriate for the application, are intended to be within the scope of the present application and are incorporated herein by reference.

In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

Herein, "subscription" as used herein includes, but is not limited to, the user being required to pay a fee or to pay a corresponding virtual currency to qualify for the corresponding novice chapter. For example, a user pays a corresponding virtual currency (e.g., "points") in a reading application to purchase a corresponding novice chapter.

According to one aspect of the present application, there is provided a method for subscribing to a novel section, which in some embodiments is implemented based on the system shown in fig. 1. The network device returns batch subscription page information corresponding to each user device based on the batch subscription request sent by each user device. In some embodiments, the batch subscription page information includes recommended subscription data information. In some embodiments, the user performs a batch subscription to the novel section based on recommended subscription data information returned by the network device. The user equipment includes, but is not limited to, mobile phones, tablets, notebook computers, and other computing devices.

Referring to fig. 2, the method includes the steps of:

Fig. 3 shows a method for providing rain shelter information at a network device according to an embodiment of the present application, the method comprising step S101, step S102, step S103 and step S104.

Specifically, in step S101, the network device receives a batch subscription chapter request about a target novel in a reading application, where the batch subscription chapter request is sent by the user device in response to a batch subscription trigger operation performed by a user in a reading page of the target novel. For example, a reading application is installed in the user device, through which the user reads books such as novels. In some embodiments, the target novice is a novice that the user is currently reading. In some embodiments, the bulk subscription section request is used to trigger the network device to generate corresponding bulk subscription page information. In some embodiments, the batch subscription refers to one-time subscription to multi-chapter novel chapters, for example, a user performs one-time purchase of multi-chapter novel chapters by clicking a batch subscription button in a reading page.

For example, referring to the user interface schematic diagram shown in fig. 9, in the process of reading a target novel in the reading application, a user presents a batch subscription button in the reading interface, and the user executes a batch subscription trigger operation by clicking the batch subscription button, and the batch subscription chapter request sends a batch subscription chapter request about the target novel to a corresponding network device based on the batch subscription trigger operation performed by the user. The network device receives the batch subscription section request.

In step S102, the network device responds to the batch subscription chapter request, and determines recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information. In some embodiments, the recommended subscription data information includes, but is not limited to, chapter subscription information (e.g., batch subscription 20 chapter, 30 chapter, 50 chapter, etc.), for example, the network device determines that chapter subscription information corresponding to the user is chapter 89 according to the reading capability information of the user and in combination with subscription statistical model information. In some embodiments, the reading capability information includes, but is not limited to, payment information for the user (e.g., accumulated fees spent by the network device to obtain the user from other shopping applications), payment information for the user in the reading application (e.g., accumulated fees spent by the network device on subscribing to a novel section in the reading application). In some embodiments, the network device obtains to-be-recommended subscription data information corresponding to the batch subscription chapter request from subscription statistics model information, adjusts the to-be-recommended subscription data information according to reading capability information of the user, for example, the network device obtains to-be-recommended subscription data information from the subscription statistics model information as chapter 70, and further adjusts the to-be-recommended subscription data information (for example, adjusts to-be-recommended subscription data information as chapter 80) according to reading capability information of the user (for example, an accumulated amount spent by the user in subscribing to a novel chapter in the reading application is 100 yuan, which is higher than an average consumption level of 80 yuan). For another example, the network device queries the subscription statistical model information for matching the recommended subscription data information matched with the reading capability information of the user according to the reading capability information of the user (for example, a mapping relationship exists between the reading capability information and the corresponding recommended subscription data information). In some embodiments, the subscription statistical model information is a statistical model generated by the network device by counting the number of novel chapters subscribed by the paid user, for example, the network device counts and records the chapter subscription information corresponding to each user in all users (for example, the user subscribes to the novel chapters of 20 chapters, 30 chapters, or 50 chapters in one minute or 5 minutes), and calculates the reading user proportion corresponding to each chapter subscription information. In some embodiments, the chapter subscription information is a chapter subscription number per unit time, e.g., 2% of users have subscribed to a section of a novel chapter of 100 chapters per unit time; 50% of users subscribe to the section of the novice 50 chapters per unit time. Of course, those skilled in the art will appreciate that the subscription statistical model information described above is merely exemplary, and that other subscription statistical model information that may be present in the present application or in the future is applicable to the present application, and is also included in the scope of the present application and is incorporated herein by reference.

For example, subscription statistical model information is established in the network device, and the network device queries recommended subscription data information matched with the reading capability information of the user in the subscription statistical model information according to the reading capability information of the user. The reading capability information includes payment information (e.g., 20, 30, etc. cumulative spending) of the user in the reading application. The network device counts and records chapter subscription information corresponding to each user (for example, the user subscribes to the novice chapter of 20 chapters, 30 chapters or 50 chapters in one minute or 5 minutes) in all users, and calculates the reading user proportion corresponding to each chapter subscription information, for example, the chapter subscription information is the chapter subscription number in unit time, and 2% of users subscribe to the novice chapter of 100 chapters in unit time; the following mapping relationship exists between the reading capability information of the novel chapter … …, which is 5 chapters subscribed by 5% of users in unit time, and the corresponding recommended subscription data information:

TABLE 1 mapping relationship

Reading capability information	Recommending subscription data information
		20-30 yuan	5% of users select 5 chapters
30-40 yuan	10% of users select 10 chapters
		40-50 yuan	18% of users select 40 chapters
……	……

Referring to table 1, for example, if the reading capability information of the user a is 20-30 yuan, the network device queries that all users with 5% of recommended subscription data information matched to have a mapping relationship with the reading capability information select 5 chapter "according to the reading capability information and subscription statistical model information. In some embodiments, the network device determines a mapping relationship between the reading capability information and the recommended subscription data information according to an average unit price of the novel chapters, for example, the unit price of each novel chapter is 5 yuan, and the reading capability information of the user a is 25 yuan, and then determines that the user a corresponds to the recommended subscription data information with the chapter number of 5 chapters.

Of course, it should be understood by those skilled in the art that the above-mentioned mapping relationship between the reading capability information and the corresponding recommended subscription data information is merely exemplary, and other mapping relationships that may be present or may occur in the future are applicable to the present application, and are also included in the protection scope of the present application and are incorporated herein by reference.

In step S103, the network device generates corresponding batch subscription page information, where the batch subscription page information includes the recommended subscription data information. For example, referring to the user interface diagram shown in FIG. 10, the network device generates corresponding bulk subscription page information (e.g., "89% of people selected-chapter 80-next" presented in FIG. 10) based on the determined recommended subscription data information. Of course, those skilled in the art will appreciate that the interface diagram shown in fig. 10 is merely exemplary, and in other embodiments, the batch subscription page information generated by the network device may include only recommended subscription data information.

In step S104, the network device returns the batch subscription page information to the user device as response information of the batch subscription chapter request. For example, the network device sends the generated batch subscription page information to the user device, so that the user can perform batch subscription operation based on the batch subscription page information.

In some embodiments, the bulk subscription page information includes a subscription confirmation button; the method further includes step S105 (not shown), in step S105, the network device receives batch subscription instruction information sent by the user device in response to the user' S trigger operation of the subscription confirmation button, wherein the batch subscription instruction information includes a plurality of target chapters in the target novels subscribed by the user; and the network equipment executes the batch subscription instruction information and correspondingly updates the chapter subscription information of the user about the target novel in the reading application. For example, referring to the interface schematic diagram shown in fig. 10, the batch subscription page information generated by the network device includes a subscription confirmation button (for example, a "confirm subscription" button shown in the lower right corner of the interface), and the user device sends batch subscription instruction information to the network device in response to the user triggering operation of the subscription confirmation button. For example, the user selects the recommended subscription data information in the batch subscription page information ("89% of people select-next chapter 80-"), clicks "confirm subscription" in the lower right corner of the interface, and sends batch subscription instruction information for the recommended subscription data information to the network device. For example, the user clicks "confirm subscription", pops up a pay page, and after paying, the user acquires the reading authority of the subsequent chapter 80. Further, in response to a user confirming subscription operation to the subsequent chapter 80, the network device updates chapter subscription information of the user with respect to the target novel in the reading application, e.g., the network device statistically records novel chapters of chapter 80 to which the user has subscribed at one time, and updates subscription statistical model information based thereon.

In some embodiments, the step S102 includes a step S1021 (not shown) and a step S1022 (not shown). In some embodiments, referring to the embodiments described in table 1 above, the network device determines recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information. In this embodiment, the network device responds to a batch subscription chapter request sent by the user device, acquires subscription data information to be recommended from subscription statistical model information, and adjusts the subscription data information to be recommended according to reading capability information of the user.

Specifically, in step S1021, the network device responds to the batch subscription chapter request, and obtains subscription data information to be recommended corresponding to the batch subscription chapter request from subscription statistical model information. For example, the network device generates or updates the subscription statistical model information based on the chapter subscription information for each user. For example, the subscription statistical model information includes: 2% of users have subscribed to chapter 100; 5% of users have subscribed to chapter 5; 15 has subscribed to chapter 30; 50% of users have subscribed to chapter 80; 10% of users have subscribed to chapter 10; chapter 40 of the user subscription of 18. In some embodiments, the subscription statistics model information statistically records the number of chapters subscribed to by the user per unit time (e.g., within one or 5 minutes); in some embodiments, the statistical calculation in the subscription statistical model is the number of novice chapters to which the user subscribes each time, e.g., 10 chapters or 20 chapters to which the user subscribes each time. The network device obtains subscription data information to be recommended from the subscription statistical model information, for example, the network device obtains the corresponding chapter number with the highest proportion of reading users (for example, "50% of users subscribe to 80 chapters") from the subscription statistical model information. In some embodiments, the network device uses the chapter number with the highest user proportion as the subscription data information to be recommended, for example, "50% of users subscribe to chapter 80" in the subscription statistical model information.

Specifically, in step S1022, the network device adjusts the subscription data information to be recommended according to the reading capability information of the user, and obtains the subscription data information to be recommended corresponding to the user, where the subscription data information to be recommended is matched with the reading capability information of the user. In some embodiments, the reading capability information includes payment information of the user in the reading application, for example, the accumulated payment of the user a in the reading application is 80 yuan, the average payment value is 100 yuan, the payment information (80 yuan) of the user a in the reading application is lower than the average payment information (100 yuan), which indicates that the payment capability of the user a is relatively lower, and the subscription data information to be recommended determined by the network device needs to be reduced. For example, the network device determines that the subscription data information to be recommended is "50% of users subscribed to chapter 80" based on the subscription statistical model information, and further, because the payment capability of the user a is relatively low, the network device lowers the subscription data information to be recommended to generate the subscription data information to be recommended corresponding to the user a. In some embodiments, the reading capability information further includes average payment information (for example, average payment amount per time) of the user, for example, average cost per novel section is 1 yuan, the to-be-recommended subscription data information is 30 chapters, average payment information of the user is 25 yuan, and the network device determines that the to-be-recommended subscription data information is 25 chapters based on the corresponding reduction of the average payment information of the user. It is intended to determine a recommended subscription data information that matches the user's reading capability information.

For example, an adjustment mechanism of the subscription data information to be recommended by the reading capability information is preset in the network device, for example, the reading capability information is 1% lower than the average reading capability information, and the subscription data information to be recommended is correspondingly reduced by 1%; the reading capability information is 1% higher than the average reading capability information, and the subscription data information to be recommended is correspondingly improved by 1%. For example, the network device determines that the information of the to-be-recommended subscription data is chapter 80, the reading capability information of the user a sending the batch subscription chapter request is "the payment information of the user a is chapter 80", the average payment information is chapter 70, and the information of the to-be-recommended subscription data is correspondingly reduced to chapter 70.

Of course, those skilled in the art will appreciate that the above-described adjustment mechanisms are merely examples, and that other adjustment mechanisms that may be present or may occur in the future are intended to be applicable to the present application, and are also included within the scope of the present application and are incorporated herein by reference. The adjustment mechanism is intended to match the recommended subscription data information with the user's reading capability information.

In some embodiments, the subscription statistical model information includes the first subscription statistical model information, where the first subscription statistical model information includes chapter subscription information about a novel chapter for all reading users corresponding to the reading application; the step S1021 includes: the network equipment responds to the batch subscription chapter request, and generates to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to reading users with the reading user proportion equal to or larger than the reading proportion threshold value information in all reading users corresponding to the reading application, wherein the to-be-recommended subscription data information comprises the chapter subscription information and the reading user proportion corresponding to the chapter subscription information. In some embodiments, the first subscription statistical model information is subscription statistical model information calculated by the network device according to the user total statistics. For example, referring to the first subscription statistical model information shown in fig. 6, the network device generates the first subscription statistical model information by statistically calculating chapter subscription information of each of all reading users registered to use the reading application, for example, the proportion of reading users subscribed to 100 chapters at once is 2%; the proportion of reading users subscribing to chapter 5 at one time is 5%; the proportion of reading users subscribing to chapter 30 at one time is 15%; the proportion of reading users subscribing to chapter 80 at one time is 50%; the proportion of reading users subscribing to chapter 10 at a time is 10%; the proportion of reading users who subscribe to chapter 40 once is 18%. Here, in some embodiments, the network device may determine the one-time subscription amount from each subscription operation of the reading user to the novel section; in other embodiments, the network device may also determine the one-time subscription amount based on the number of novice chapters subscribed to in a unit of time (e.g., 1 minute or 5 minutes) of the reading user. After receiving a batch subscription chapter request sent by the user equipment, the network equipment inquires subscription data information to be recommended from the first subscription statistical model information. For example, the network device queries chapter subscription information (for example, chapter 80) corresponding to the reading user with the highest reading user proportion (for example, 50%) from the first subscription statistical model information, and determines subscription data information to be recommended (for example, 50% of users select the subsequent chapter 80 or 50% of users subscribe to chapter 80 at one time) according to the chapter subscription information and the reading user proportion corresponding to the chapter subscription information. For another example, the network device queries the first subscription statistical model information for reading users with the reading user proportion equal to or greater than the reading proportion threshold information (for example, 40%), and determines the subscription data information to be recommended (for example, 50% of users select the subsequent 80 chapters or 50% of users subscribe to 80 chapters at a time) according to the chapter subscription information and the reading user proportion corresponding to the chapter subscription information.

In other embodiments, the network device also directly queries the first subscription statistical model information for recommended subscription data information matching the reading capability information according to the reading capability information of the user, for example, the average price per chapter of a novel chapter is 1 element, and if the reading capability information of the user is "the average payment information of the user in the reading application (for example, obtained according to each payment information) is 25 elements", the network device queries the first subscription statistical model information for recommended subscription data information (for example, 30 chapters) matching the reading capability information according to the reading capability information of the user, and further directly determines the recommended subscription data information corresponding to the user according to the reading capability information of the user in combination with the first subscription statistical model information.

Of course, those skilled in the art will appreciate that the first subscription statistical model information shown in fig. 6 is only exemplary, and that other first subscription statistical model information that may be present or later present can be applied to the present application, and is also included in the scope of the present application and incorporated herein by reference. The first subscription statistical model information may also be statistically presented in the form of a pie chart, for example.

In some embodiments, the subscription statistical model information includes the second subscription statistical model information, wherein the second subscription statistical model information includes chapter subscription information about the target novels for all target novels users corresponding to the target novels; the step S1021 includes: the network equipment responds to the batch subscription chapter request, and generates to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to the target novel user with the target novel user proportion equal to or larger than the novel proportion threshold value information in all target novel users corresponding to the target novel, wherein the to-be-recommended subscription data information comprises the chapter subscription information and the target novel user proportion corresponding to the chapter subscription information. In some embodiments, the second subscription statistical model information is subscription statistical model information calculated by the network device from per book statistics. For example, referring to the second subscription statistical model information shown in fig. 7, the network device statistically calculates chapter subscription information of the user corresponding to each novel book with respect to the novel book, and generates second subscription statistical model information with respect to the novel book based on the statistically recorded chapter subscription information. For example, the target novice user proportion of chapter 100 in the one-time subscription target novice J is 2%; the proportion of reading users in chapter 5 in the one-time subscription target novel J is 5%; the proportion of reading users in chapter 30 in the one-time subscription target novel J is 15%; the proportion of reading users in chapter 80 in the primary subscription target novel J is 50%; the proportion of reading users in chapter 10 in the primary subscription target novel J is 10%; the proportion of reading users in chapter 40 of the one-time subscription objective novel J is 18%. Here, in some embodiments, the network device may determine the one-time subscription amount from each subscription operation of the target novice user to the novice chapters in the target novice J; in other embodiments, the network device may also determine the one-time subscription amount based on the number of novice chapters of the targeted novice user that subscribe to the targeted novice J in a unit of time (e.g., 1 minute or 5 minutes). After receiving the batch subscription chapter request sent by the user equipment, the network equipment inquires subscription data information to be recommended from the second subscription statistical model information. For example, the network device queries the second subscription statistical model information for chapter subscription information (for example, chapter 80) corresponding to the target novel user with the highest target novel user proportion (for example, 50%), and determines the subscription data information to be recommended (for example, 50% of users select the subsequent chapter 80 or 50% of users subscribe to chapter 80 at one time) according to the chapter subscription information and the target novel user proportion corresponding to the chapter subscription information. For another example, the network device queries the second subscription statistical model information for target novice users whose target novice user proportion is equal to or greater than the reading proportion threshold information (e.g., 40%), and determines subscription data information to be recommended (e.g., 50% of users select the next 80 chapters or 50% of users subscribe to 80 chapters at a time) according to the chapter subscription information and the reading user proportion corresponding to the chapter subscription information.

In other embodiments, the network device also directly queries the second subscription statistical model information for recommended subscription data information matching the reading capability information according to the reading capability information of the user, for example, the average price per chapter section in the target novel J is 1 element, and if the reading capability information of the user is "the average payment information of the user in the reading application (for example, obtained according to each payment information) is 25 elements", the network device queries the second subscription statistical model information for recommended subscription data information (for example, 30 chapters) matching the reading capability information according to the reading capability information of the user, further directly determines the recommended subscription data information corresponding to the user according to the reading capability information of the user and combines the second subscription statistical model information.

Of course, those skilled in the art will appreciate that the second subscription statistical model information shown in fig. 7 is only exemplary, and that other second subscription statistical model information that may be present or later present can be applied to the present application, and is also included in the scope of the present application and incorporated herein by reference. The second subscription statistical model information may also be statistically presented in the form of a pie chart, for example.

In some embodiments, the subscription statistical model information includes the third subscription statistical model information, wherein the third subscription statistical model information includes section subscription information of the user device corresponding to a user about a novel section; the step S1021 includes: responding to the batch subscription chapter request, determining chapter subscription information with subscription proportion information equal to or larger than subscription proportion threshold value information in the one or more chapter subscription information according to one or more chapter subscription information of the user equipment corresponding to a user on a novel chapter, and generating to-be-recommended subscription data information corresponding to the batch subscription request according to the chapter subscription information, wherein the to-be-recommended subscription data information comprises the chapter subscription information. In some embodiments, the third subscription statistical model information is subscription statistical model information calculated by the network device from per-user statistics. Such as the third subscription statistical model information described with reference to fig. 8. The network device statistically calculates chapter subscription information for each user and generates third subscription statistical model information for each user based on the statistically recorded chapter subscription information. For example, the subscription proportion information of the user a subscribed to 100 chapters at a time is 2%; subscription proportion information of one-time subscription chapter 5 is 5%; subscription proportion information of 30 chapters of one-time subscription is 15%; the subscription proportion information of the one-time subscription chapter 80 is 50%; subscription proportion information of 10 chapters of one-time subscription is 10%; the subscription proportion information of the one-time subscription chapter 40 is 18%. Here, in some embodiments, the network device may determine the one-time subscription amount according to each subscription operation of the user to the novel section; in other embodiments, the network device may also determine the one-time subscription number based on the number of subscribed novice chapters in a unit of time (e.g., 1 minute or 5 minutes) of the user. After receiving the batch subscription chapter request sent by the user equipment, the network equipment inquires subscription data information to be recommended from the third subscription statistical model information. For example, the network device queries chapter subscription information (for example, chapter 80) with the highest subscription proportion information (for example, 50%) from the third subscription statistical model information, and determines to-be-recommended subscription data information according to the chapter subscription information (for example, 50% of users select the next chapter 80 or 50% of users subscribe to chapter 80 at a time).

In other embodiments, the network device also directly queries the third subscription statistical model information for recommended subscription data information matching the reading capability information according to the reading capability information of the user, for example, the average price per chapter section in the target novel J is 1 element, and if the reading capability information of the user is "the average payment information of the user in the reading application (for example, obtained according to each payment information) is 25 elements", the network device queries the third subscription statistical model information for recommended subscription data information (for example, 30 chapters) matching the reading capability information according to the reading capability information of the user, further directly determines the recommended subscription data information corresponding to the user according to the reading capability information of the user and combines the second subscription statistical model information.

Of course, those skilled in the art will appreciate that the third subscription statistical model information shown in fig. 8 is only exemplary, and that other third subscription statistical model information that may be present or later present can be applied to the present application, and is also included in the scope of the present application and incorporated herein by reference. The third subscription statistical model information may also be statistically presented in the form of a pie chart, for example.

In some embodiments, the subscription statistical model information includes the first subscription statistical model information, the second subscription statistical model information, and third subscription statistical model information, where the first subscription statistical model information includes chapter subscription information about a novel chapter for all reading users corresponding to the reading application, the second subscription statistical model information includes chapter subscription information about the novel, for all target novel users corresponding to the target novel, and the third subscription statistical model information includes chapter subscription information about a novel corresponding to the user equipment; wherein, the step b1021 includes: and responding to the batch subscription chapter request, and determining to-be-recommended subscription data information corresponding to the batch subscription chapter request according to the weight information of the first subscription statistical model information, the second subscription statistical model information and the third subscription statistical model information.

In some embodiments, the subscription statistical model information includes the first subscription statistical model information, the second subscription statistical model information, and the third subscription statistical model information. The network device performs statistical calculation according to the weight information of each subscription statistical model information. For example, a user a who sends a batch subscription chapter request to the network device is currently reading a target novel J, and in the first subscription statistical model information, 80% of reading users subscribe to chapter 80 at a time; in the second subscription statistical model information, about the target novel J,80% of target novel users subscribe to chapter 70 at a time; in the third subscription statistical model information, 80% of novels read by the user A are subscribed to 60 chapters at one time; and if the weight information of each piece of subscription statistical model information preset in the network equipment is respectively 0.6, 0.2 and 0.2. The final subscription data information to be recommended is 80×0.6+70×0.2+60×0.2=74 chapters.

In some embodiments, the user's reading capability information includes at least one of:

1) Payment information of the user. For example, the network device obtains the total payment information of the user through the application interface of the shopping application, determines the purchasing power of the user according to the obtained payment information, and further determines the recommended subscription data information corresponding to the user based on the payment information of the user, so that the recommended data information corresponding to the user is matched with the payment information of the user. For example, if the payment information of the user is higher than the average payment information, the subscription data information to be recommended is correspondingly increased; and if the payment information of the user is lower than the average payment information, correspondingly reducing the subscription data information to be recommended.

2) Payment information of the user in the reading application. For example, the network device statistically records payment information of the user in the reading application, determines purchasing power of the user according to the payment information, and further determines recommended subscription data information corresponding to the user based on the payment information of the user in the reading application, so that the recommended data information corresponding to the user is matched with the payment information of the user in the reading application. For example, if the payment information of the user in the reading application is higher than the average payment information, the subscription data information to be recommended is correspondingly increased; and if the payment information of the user in the reading application is lower than the average payment information, correspondingly reducing the subscription data information to be recommended.

3) And reading quantity information of the user. For example, the network device obtains the reading amount information of the user through the application interface of each reading application, and determines the recommended subscription data information corresponding to the user according to the obtained reading amount information, so that the recommended data information corresponding to the user is matched with the reading amount information of the user. For example, if the reading amount information of the user is higher than the average reading amount information, the subscription data information to be recommended is correspondingly increased; and if the payment information of the user is lower than the reading amount information, correspondingly reducing the subscription data information to be recommended.

4) And reading quantity information of the user in the reading application. For example, the network device counts and records the reading amount information of the user in the reading application, and determines the recommended subscription data information corresponding to the user according to the reading amount information of the user in the reading application, so that the recommended data information corresponding to the user is matched with the reading amount information of the user in the reading application. For example, if the reading amount information of the user in the reading application is higher than the average payment information, the subscription data information to be recommended is correspondingly increased; and if the reading quantity information of the user in the reading application is lower than the average payment information, correspondingly reducing the to-be-recommended subscription data information.

In some embodiments, the subscription statistical model information includes at least one of:

1) And the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter. In some embodiments, the first subscription statistical model information is established or updated by the network device based on chapter subscription information of all reading users corresponding to the reading application. In some embodiments, the "all reading users" includes all users registered in the reading application. For example, the network device determines that 80% of all reading users have subscribed to 80 chapters at a time by statistically calculating chapter subscription information of all reading users.

2) And second subscription statistical model information, wherein the second subscription statistical model information comprises chapter subscription information of all target novels corresponding to the target novels about the target novels. Second subscription statistical model information described with reference to fig. 7. In some embodiments, the network device statistically calculates chapter subscription information for all reading users of each novel for the novel, and generates second subscription statistical model information corresponding to each novel based on the statistical information. For example, among all target novice users of target novice a (e.g., all reading users who read the target novice a), 60% of target novice users have subscribed to chapter 80 uniformly.

3) And third subscription statistical model information, wherein the third subscription statistical model information comprises chapter subscription information of the user equipment corresponding to a user about a novel chapter. In some embodiments, the network device statistically calculates chapter subscription information of each reading user corresponding to the reading application, and generates third subscription statistical model information corresponding to each reading user according to the statistical information. For example, of all novels read by user B, more than 60% novels have subscribed to chapter 80 uniformly.

In other embodiments, the subscription statistical model information includes the first subscription statistical model information, the second subscription statistical model information, and the third subscription statistical model information. The network device performs statistical calculation according to the weight information of each subscription statistical model information. For example, a user a who sends a batch subscription chapter request to the network device is currently reading a target novel J, and in the first subscription statistical model information, 80% of reading users subscribe to chapter 80 at a time; in the second subscription statistical model information, about the target novel J,80% of target novel users subscribe to chapter 70 at a time; in the third subscription statistical model information, 80% of novels read by the user A are subscribed to 60 chapters at one time; and if the weight information of each piece of subscription statistical model information preset in the network equipment is respectively 0.6, 0.2 and 0.2. The final subscription data information to be recommended is 80×0.6+70×0.2+60×0.2=74 chapters.

Of course, those skilled in the art will appreciate that the first subscription statistical model information, the second subscription statistical model information, and the third subscription statistical model information described above are merely examples, and other first subscription statistical model information, second subscription statistical model information, and third subscription statistical model information that may be present in the present application or in the future are included in the scope of protection of the present application, and are incorporated herein by reference.

In some embodiments, the bulk subscription page information further comprises at least one of:

1) Subscription confirmation buttons. For example, refer to the interface schematic shown in fig. 10, 11, 12, 13, or 14. The lower right corner of the batch subscription page information generated by the network equipment comprises a subscription confirmation button for confirming subscription, and the user performs payment operation on the selected batch subscription information by clicking the subscription confirmation button.

2) User configuration buttons for the target novels. For example, refer to the interface schematic diagrams shown in fig. 10, 11, 12, 13, 14, or 15. The batch subscription page information generated by the network device comprises a user configuration button for manually selecting chapters, the user triggers the user configuration button to pop up a user-defined subscription number interface as shown in fig. 15 by clicking, and the user performs batch subscription by user-defined selection.

3) And subscribing the data information with preferential. For example, refer to the interface schematic diagrams shown in fig. 11, 12, and 14. The batch subscription page information generated by the network equipment comprises preferential subscription data information of 'follow-up 20-chapter payment chapter', 'follow-up 100-chapter payment chapter', 'follow-up all payment chapter', and the preferential subscription data information is used for presenting information that batch subscription can enjoy preferential so as to attract users to carry out batch subscription.

4) Subscription data information is free. For example, refer to the interface schematic shown in fig. 13. The batch subscription page information generated by the network equipment comprises free subscription data information of all free subscribed chapters, and the free subscription data information is used for presenting the information of all free chapters to be subscribed in batch through one key to attract users to subscribe in batch.

Fig. 4 shows a flowchart of a method for subscribing to novel chapters at a user equipment according to another embodiment of the present application, the method includes step S201 and step S202.

Specifically, in step S201, the user device sends, to the corresponding network device, a batch subscription chapter request regarding a target novel in the reading application in response to a batch subscription trigger operation performed by the user in the reading page of the target novel. For example, a reading application is installed in the user device, through which the user reads books such as novels. In some embodiments, the target novice is a novice that the user is currently reading. In some embodiments, the bulk subscription section request is used to trigger the network device to generate corresponding bulk subscription page information. In some embodiments, the batch subscription refers to one-time subscription to multi-chapter novel chapters, for example, a user performs one-time purchase of multi-chapter novel chapters by clicking a batch subscription button in a reading page.

In step S202, the user device receives and presents batch subscription page information returned by the network device in response to the batch subscription section request, wherein the batch subscription page information includes recommended subscription data information about the target novel. For example, the network device sends the generated batch subscription page information to the user device, so that the user can perform batch subscription operation based on the batch subscription page information. For example, the interface schematic shown in fig. 10, the user device receives batch subscription page information returned by the network device, where "89% of people with recommended subscription data information are all selected-subsequent chapter 80" in the batch subscription page information.

In some embodiments, the bulk subscription page information includes a subscription confirmation button; the method further comprises step S203 (not shown), in which step S203, the user device sends batch subscription instruction information to the network device in response to a triggering operation of the subscription confirmation button by the user, wherein the batch subscription instruction information includes a plurality of target chapters in the target novels subscribed by the user. For example, referring to the interface schematic diagram shown in fig. 10, the batch subscription page information generated by the network device includes a subscription confirmation button (for example, a "confirm subscription" button shown in the lower right corner of the interface), and the user device sends batch subscription instruction information to the network device in response to the user triggering operation of the subscription confirmation button. For example, the user selects the recommended subscription data information in the batch subscription page information ("89% of people select-next chapter 80-"), clicks "confirm subscription" in the lower right corner of the interface, and sends batch subscription instruction information for the recommended subscription data information to the network device. For example, the user clicks "confirm subscription", pops up a pay page, and after paying, the user acquires the reading authority of the subsequent chapter 80. Further, in response to a user confirming subscription operation to the subsequent chapter 80, the network device updates chapter subscription information of the user with respect to the target novel in the reading application, e.g., the network device statistically records novel chapters of chapter 80 to which the user has subscribed at one time, and updates subscription statistical model information based thereon.

In some embodiments, the bulk subscription page information further includes a user configuration button; the method further comprises a step S204 (not shown), in which the user equipment pops up a batch selection page for the novel chapters in response to the triggering operation of the user configuration button by the user, wherein the batch selection page comprises a plurality of novel chapters in the target novel and a subscription confirmation button; the user equipment responds to the selection operation of the user on the plurality of novel chapters to determine a plurality of target chapters in the target novel subscribed by the user; and the user equipment responds to the triggering operation of the user on the subscription confirmation button and sends batch subscription instruction information to the network equipment, wherein the batch subscription instruction information comprises the target chapters. For example, refer to the interface schematic diagrams shown in fig. 10, 11, 12, 13, 14, or 15. The batch subscription page information generated by the network device comprises a user configuration button for manually selecting chapters, the user triggers the user configuration button to pop up a user-defined subscription number interface as shown in fig. 15 by clicking, and the user performs batch subscription by user-defined selection.

Fig. 5 shows a flowchart of a method for subscribing to novel chapters at a user equipment according to yet another embodiment of the present application, the method comprising step S301 and step S302. In some embodiments, it should be understood by those skilled in the art that the statistical subscription model information (including the first statistical subscription model information, the second statistical subscription model information, and the third statistical subscription model information) may also be updated on the user equipment side, and all operations on the network equipment side may be performed by the user equipment.

Specifically, in step S301, the user device responds to a batch subscription triggering operation performed by the user in the reading page of the target novel, and determines recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information. For example, a reading application is installed in the user device, through which the user reads books such as novels. In some embodiments, the target novice is a novice that the user is currently reading. In some embodiments, the batch subscription refers to one-time subscription to multi-chapter novel chapters, for example, a user performs one-time purchase of multi-chapter novel chapters by clicking a batch subscription button in a reading page. For example, referring to the user interface schematic diagram shown in fig. 9, in the process of reading the target novels in the reading application, a batch subscription button is presented in the reading interface, the user executes batch subscription triggering operation by clicking the batch subscription button, and the user triggers the user device to determine corresponding recommended subscription data information by executing the batch subscription triggering operation at the user device side.

In some embodiments, the recommended subscription data information includes, but is not limited to, chapter subscription information (e.g. batch subscription 20 chapter, 30 chapter, 50 chapter, etc.), for example, the user device determines that chapter subscription information corresponding to the user is 89 chapter according to the reading capability information of the user and in combination with subscription statistical model information. In some embodiments, the reading capability information includes, but is not limited to, payment information for the user (e.g., the user device counts each consumption record of the user and determines the payment information for the user based thereon), payment information for the user in the reading application (e.g., the user device counts the accumulated cost spent by the user on subscribing to a novel section in the reading application). In some embodiments, the user device obtains corresponding subscription data information to be recommended from the subscription statistics model information, adjusts the subscription data information to be recommended according to the reading capability information of the user, for example, the user device obtains the subscription data information to be recommended from the subscription statistics model information as chapter 70, and further adjusts the subscription data information to be recommended (for example, adjusts chapter 70 of the subscription data information to be recommended to chapter 80) according to the reading capability information of the user (for example, the cumulative amount spent by the user in subscribing to a novel chapter in the reading application is 100 yuan, which is higher than the average consumption level of 80 yuan). For another example, the user device queries the subscription statistical model information for matching the recommended subscription data information matched with the reading capability information of the user according to the reading capability information of the user (for example, a mapping relationship exists between the reading capability information and the corresponding recommended subscription data information). In some embodiments, the subscription statistical model information is a statistical model generated by the user device by counting the number of novel chapters subscribed by the paid user, for example, the user device statistically records the chapter subscription information corresponding to each user in all users (for example, the user subscribes to the novel chapters of 20 chapters, 30 chapters, or 50 chapters in one minute or 5 minutes), and calculates the reading user proportion corresponding to each chapter subscription information. In some embodiments, the chapter subscription information is a chapter subscription number per unit time, e.g., 2% of users have subscribed to a section of a novel chapter of 100 chapters per unit time; 50% of users subscribe to the section of the novice 50 chapters per unit time. Of course, those skilled in the art will appreciate that the subscription statistical model information described above is merely exemplary, and that other subscription statistical model information that may be present in the present application or in the future is applicable to the present application, and is also included in the scope of the present application and is incorporated herein by reference. Here, it should be understood by those skilled in the art that all data required by the user device to build or update the subscription statistical model information (for example, chapter subscription information of all reading users corresponding to the reading application) may be acquired from the corresponding network device side at the time of networking.

For example, subscription statistical model information is established in the user equipment, and the user equipment queries recommended subscription data information matched with the reading capability information of the user in the subscription statistical model information according to the reading capability information of the user. The reading capability information includes payment information (e.g., 20, 30, etc. cumulative spending) of the user in the reading application. The user equipment counts and records chapter subscription information corresponding to each user (for example, the user subscribes to the novice chapter of 20 chapters, 30 chapters or 50 chapters in one minute or 5 minutes) in all the users, and calculates the reading user proportion corresponding to each chapter subscription information, for example, the chapter subscription information is the chapter subscription number in unit time, and 2% of the users subscribe to the novice chapter of 100 chapters in unit time; the following mapping relationship exists between the reading capability information of the novel chapter … …, which is 5 chapters subscribed by 5% of users in unit time, and the corresponding recommended subscription data information:

table 2 mapping relation

Referring to table 2, for example, if the reading capability information of the user a is 20-30 yuan, the user device queries that all users with 5% of recommended subscription data information matched to have a mapping relationship with the reading capability information select 5 chapter "according to the reading capability information and subscription statistical model information. In some embodiments, the user device determines a mapping relationship between the reading capability information and the recommended subscription data information according to an average unit price of the novel chapter, for example, the unit price of each novel chapter is 5 yuan, and the reading capability information of the user a is 25 yuan, and then determines that the user a corresponds to the recommended subscription data information with the chapter number of 5 chapters.

In step S302, the user device generates and presents corresponding batch subscription page information, where the batch subscription page information includes the recommended subscription data information. For example, referring to the user interface diagram shown in FIG. 10, the user device generates corresponding bulk subscription page information (e.g., "89% of people selected-chapter 80 next-" presented in FIG. 10) based on the determined recommended subscription data information. Of course, those skilled in the art will appreciate that the interface diagram shown in fig. 10 is merely an example, and in other embodiments, the batch subscription page information generated by the user device may include only recommended subscription data information.

Herein, it should be understood by those skilled in the art that all embodiments corresponding to the first statistical subscription model information, the second statistical subscription model information and the third statistical subscription model information are applicable to the ue, and are not described herein.

Fig. 16 illustrates a network device according to one embodiment of the present application, which includes one-to-one module, two modules, three modules, and four modules.

Specifically, a module is used for receiving a batch subscription chapter request about a target novel in a reading application, wherein the batch subscription chapter request is sent by a user device in response to a batch subscription triggering operation executed by the user in a reading page of the target novel. For example, a reading application is installed in the user device, through which the user reads books such as novels. In some embodiments, the target novice is a novice that the user is currently reading. In some embodiments, the bulk subscription section request is used to trigger the network device to generate corresponding bulk subscription page information. In some embodiments, the batch subscription refers to one-time subscription to multi-chapter novel chapters, for example, a user performs one-time purchase of multi-chapter novel chapters by clicking a batch subscription button in a reading page.

And the second module is used for responding to the batch subscription chapter request, determining recommended subscription data information corresponding to the user according to the reading capability information of the user and combining subscription statistical model information. In some embodiments, the recommended subscription data information includes, but is not limited to, chapter subscription information (e.g., batch subscription 20 chapter, 30 chapter, 50 chapter, etc.), for example, the network device determines that chapter subscription information corresponding to the user is chapter 89 according to the reading capability information of the user and in combination with subscription statistical model information. In some embodiments, the reading capability information includes, but is not limited to, payment information for the user (e.g., accumulated fees spent by the network device to obtain the user from other shopping applications), payment information for the user in the reading application (e.g., accumulated fees spent by the network device on subscribing to a novel section in the reading application). In some embodiments, the network device obtains to-be-recommended subscription data information corresponding to the batch subscription chapter request from subscription statistics model information, adjusts the to-be-recommended subscription data information according to reading capability information of the user, for example, the network device obtains to-be-recommended subscription data information from the subscription statistics model information as chapter 70, and further adjusts the to-be-recommended subscription data information (for example, adjusts to-be-recommended subscription data information as chapter 80) according to reading capability information of the user (for example, an accumulated amount spent by the user in subscribing to a novel chapter in the reading application is 100 yuan, which is higher than an average consumption level of 80 yuan). For another example, the network device queries the subscription statistical model information for matching the recommended subscription data information matched with the reading capability information of the user according to the reading capability information of the user (for example, a mapping relationship exists between the reading capability information and the corresponding recommended subscription data information). In some embodiments, the subscription statistical model information is a statistical model generated by the network device by counting the number of novel chapters subscribed by the paid user, for example, the network device counts and records the chapter subscription information corresponding to each user in all users (for example, the user subscribes to the novel chapters of 20 chapters, 30 chapters, or 50 chapters in one minute or 5 minutes), and calculates the reading user proportion corresponding to each chapter subscription information. In some embodiments, the chapter subscription information is a chapter subscription number per unit time, e.g., 2% of users have subscribed to a section of a novel chapter of 100 chapters per unit time; 50% of users subscribe to the section of the novice 50 chapters per unit time. Of course, those skilled in the art will appreciate that the subscription statistical model information described above is merely exemplary, and that other subscription statistical model information that may be present in the present application or in the future is applicable to the present application, and is also included in the scope of the present application and is incorporated herein by reference.

TABLE 3 mapping relationship

Referring to table 3, for example, if the reading capability information of the user a is 20-30 yuan, the network device queries that all users with 5% of recommended subscription data information matched to have a mapping relationship with the reading capability information select 5 chapter "according to the reading capability information and subscription statistical model information. In some embodiments, the network device determines a mapping relationship between the reading capability information and the recommended subscription data information according to an average unit price of the novel chapters, for example, the unit price of each novel chapter is 5 yuan, and the reading capability information of the user a is 25 yuan, and then determines that the user a corresponds to the recommended subscription data information with the chapter number of 5 chapters.

And the three modules are used for generating corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information. For example, referring to the user interface diagram shown in FIG. 10, the network device generates corresponding bulk subscription page information (e.g., "89% of people selected-chapter 80-next" presented in FIG. 10) based on the determined recommended subscription data information. Of course, those skilled in the art will appreciate that the interface diagram shown in fig. 10 is merely exemplary, and in other embodiments, the batch subscription page information generated by the network device may include only recommended subscription data information.

And the four modules are used for returning the batch subscription page information to the user equipment as response information of the batch subscription chapter request. For example, the network device sends the generated batch subscription page information to the user device, so that the user can perform batch subscription operation based on the batch subscription page information.

In some embodiments, the bulk subscription page information includes a subscription confirmation button; the device further comprises a five module (not shown) for receiving batch subscription instruction information sent by the user device in response to the user's triggering operation of the subscription confirmation button, wherein the batch subscription instruction information comprises a plurality of target chapters in the target novels subscribed by the user; and the network equipment executes the batch subscription instruction information and correspondingly updates the chapter subscription information of the user about the target novel in the reading application.

Here, the example of the implementation of the above-mentioned five modules is the same as or similar to the embodiment of the above-mentioned step S105, so that the detailed description is omitted herein, and is incorporated by reference.

In some embodiments, the two modules include two modules (not shown) and two modules (not shown). Specifically, the first module and the second module are configured to respond to the batch subscription chapter request, and obtain subscription data information to be recommended corresponding to the batch subscription chapter request from subscription statistical model information. And the second module is used for adjusting the subscription data information to be recommended according to the reading capability information of the user and obtaining the subscription data information to be recommended corresponding to the user, wherein the subscription data information to be recommended is matched with the reading capability information of the user.

Here, the example of the implementation of the two modules is the same as or similar to the embodiment of the step S1021 and the step S1022, and thus is not described in detail, and is incorporated herein by reference.

In some embodiments, the subscription statistical model information includes the first subscription statistical model information, where the first subscription statistical model information includes chapter subscription information about a novel chapter for all reading users corresponding to the reading application; the first module and the second module are used for responding to the batch subscription chapter request, and generating to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to reading users with the reading user proportion equal to or larger than the reading proportion threshold value information in all reading users corresponding to the reading application, wherein the to-be-recommended subscription data information comprises the chapter subscription information and the reading user proportion corresponding to the chapter subscription information. In some embodiments, the first subscription statistical model information is subscription statistical model information calculated by the network device according to the user total statistics.

Here, the example of the implementation of the above-mentioned two-one module is the same as or similar to the embodiment of the above-mentioned step S1021, so that the detailed description is omitted herein for the sake of brevity.

In some embodiments, the subscription statistical model information includes the second subscription statistical model information, wherein the second subscription statistical model information includes chapter subscription information about the target novels for all target novels users corresponding to the target novels; the second module is configured to respond to the batch subscription chapter request, and generate to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to a target novel user with a target novel user proportion equal to or greater than a novel proportion threshold value information in all target novel users corresponding to the target novel, where the to-be-recommended subscription data information includes the chapter subscription information and a target novel user proportion corresponding to the chapter subscription information.

In some embodiments, the subscription statistical model information includes the third subscription statistical model information, wherein the third subscription statistical model information includes section subscription information of the user device corresponding to a user about a novel section; the second module is configured to respond to the batch subscription chapter request, determine chapter subscription information with subscription proportion information equal to or greater than subscription proportion threshold information in the one or more chapter subscription information according to one or more chapter subscription information of a user corresponding to the user equipment on a novel chapter, and generate to-be-recommended subscription data information corresponding to the batch subscription request according to the chapter subscription information, where the to-be-recommended subscription data information includes the chapter subscription information.

In some embodiments, the subscription statistical model information includes the first subscription statistical model information, the second subscription statistical model information, and third subscription statistical model information, where the first subscription statistical model information includes chapter subscription information about a novel chapter for all reading users corresponding to the reading application, the second subscription statistical model information includes chapter subscription information about the novel, for all target novel users corresponding to the target novel, and the third subscription statistical model information includes chapter subscription information about a novel corresponding to the user equipment; the first subscription statistical model information is used for receiving the batch subscription chapter request, and the second subscription statistical model information is used for receiving the batch subscription chapter request and the third subscription statistical model information, wherein the first subscription statistical model information is used for receiving the batch subscription chapter request and the second subscription statistical model information is used for receiving the batch subscription chapter request.

Fig. 17 shows a device block diagram of a user device according to an embodiment of the present application, the device including two-in-one modules and two-in-two modules.

Specifically, the second module is used for responding to batch subscription triggering operation executed by a user in a reading page of a target novel, and sending a batch subscription chapter request about the target novel in a reading application to corresponding network equipment. For example, a reading application is installed in the user device, through which the user reads books such as novels. In some embodiments, the target novice is a novice that the user is currently reading. In some embodiments, the bulk subscription section request is used to trigger the network device to generate corresponding bulk subscription page information. In some embodiments, the batch subscription refers to one-time subscription to multi-chapter novel chapters, for example, a user performs one-time purchase of multi-chapter novel chapters by clicking a batch subscription button in a reading page.

And the second module is used for receiving and presenting batch subscription page information returned by the network equipment in response to the batch subscription chapter request, wherein the batch subscription page information comprises recommended subscription data information about the target novels. For example, the network device sends the generated batch subscription page information to the user device, so that the user can perform batch subscription operation based on the batch subscription page information. For example, the interface schematic shown in fig. 10, the user device receives batch subscription page information returned by the network device, where "89% of people with recommended subscription data information are all selected-subsequent chapter 80" in the batch subscription page information.

In some embodiments, the bulk subscription page information includes a subscription confirmation button; the device further comprises a second and third module (not shown) for sending batch subscription instruction information to the network device in response to a triggering operation of the subscription confirmation button by a user, wherein the batch subscription instruction information comprises a plurality of target chapters in the target novels subscribed by the user.

Here, the specific implementation examples of the above two-three modules are the same as or similar to those of the embodiment of step S203, so they are not described in detail herein and are incorporated by reference.

In some embodiments, the bulk subscription page information further includes a user configuration button; the device further comprises a second four module (not shown) for popping up a batch selection page about the novel chapters in response to a triggering operation of the user configuration button by a user, wherein the batch selection page comprises a plurality of novel chapters in the target novel and a subscription confirmation button; the user equipment responds to the selection operation of the user on the plurality of novel chapters to determine a plurality of target chapters in the target novel subscribed by the user; and the user equipment responds to the triggering operation of the user on the subscription confirmation button and sends batch subscription instruction information to the network equipment, wherein the batch subscription instruction information comprises the target chapters.

Here, the specific implementation examples of the two-four modules are the same as or similar to those of the embodiment of the step S204, so that the description is omitted herein for brevity.

Fig. 18 shows a device block diagram of a user device according to another embodiment of the present application, the device including three-one modules and three-two modules.

Specifically, the three modules are used for responding to batch subscription triggering operation executed by a user in a reading page of a target novel, and determining recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information. For example, a reading application is installed in the user device, through which the user reads books such as novels. In some embodiments, the target novice is a novice that the user is currently reading. In some embodiments, the batch subscription refers to one-time subscription to multi-chapter novel chapters, for example, a user performs one-time purchase of multi-chapter novel chapters by clicking a batch subscription button in a reading page. For example, referring to the user interface schematic diagram shown in fig. 9, in the process of reading the target novels in the reading application, a batch subscription button is presented in the reading interface, the user executes batch subscription triggering operation by clicking the batch subscription button, and the user triggers the user device to determine corresponding recommended subscription data information by executing the batch subscription triggering operation at the user device side.

TABLE 3 mapping relationship

Referring to table 3, for example, if the reading capability information of the user a is 20-30 yuan, the user device queries that all users with 5% of recommended subscription data information matched to have a mapping relationship with the reading capability information select 5 chapter "according to the reading capability information and subscription statistical model information. In some embodiments, the user device determines a mapping relationship between the reading capability information and the recommended subscription data information according to an average unit price of the novel chapter, for example, the unit price of each novel chapter is 5 yuan, and the reading capability information of the user a is 25 yuan, and then determines that the user a corresponds to the recommended subscription data information with the chapter number of 5 chapters.

The third module is used for generating and presenting corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information. For example, referring to the user interface diagram shown in FIG. 10, the user device generates corresponding bulk subscription page information (e.g., "89% of people selected-chapter 80 next-" presented in FIG. 10) based on the determined recommended subscription data information. Of course, those skilled in the art will appreciate that the interface diagram shown in fig. 10 is merely an example, and in other embodiments, the batch subscription page information generated by the user device may include only recommended subscription data information.

The present application also provides a computer readable storage medium storing computer code which, when executed, performs a method as claimed in any preceding claim.

The present application also provides a computer program product which, when executed by a computer device, performs a method as claimed in any preceding claim.

The present application also provides a computer device comprising:

one or more processors;

a memory for storing one or more computer programs;

the one or more computer programs, when executed by the one or more processors, cause the one or more processors to implement the method of any preceding claim.

FIG. 19 illustrates an exemplary system that may be used to implement various embodiments described herein;

in some embodiments, as shown in fig. 19, the system 1000 can be implemented as any one of the network devices, first user device, or second user device of the various described embodiments. In some embodiments, system 1000 can include one or more computer-readable media (e.g., system memory or NVM/storage 1020) having instructions and one or more processors (e.g., processor(s) 1005) coupled with the one or more computer-readable media and configured to execute the instructions to implement the modules to perform the actions described herein.

For one embodiment, the system control module 1010 may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) 1005 and/or any suitable device or component in communication with the system control module 1010.

The system control module 1010 may include a memory controller module 1030 to provide an interface to the system memory 1015. The memory controller module 1030 may be a hardware module, a software module, and/or a firmware module.

System memory 1015 may be used, for example, to load and store data and/or instructions for system 1000. For one embodiment, system memory 1015 may comprise any suitable volatile memory, such as, for example, suitable DRAM. In some embodiments, the system memory 1015 may comprise double data rate type four synchronous dynamic random access memory (DDR 4 SDRAM).

For one embodiment, the system control module 1010 may include one or more input/output (I/O) controllers to provide an interface to NVM/storage 1020 and communication interface(s) 1025.

For example, NVM/storage 1020 may be used to store data and/or instructions. NVM/storage 1020 may include any suitable nonvolatile memory (e.g., flash memory) and/or may include any suitable nonvolatile storage device(s) (e.g., hard Disk drive(s) (HDD), compact Disk drive(s) (CD) and/or digital versatile Disk drive (s)).

NVM/storage 1020 may include storage resources that are physically part of the device on which system 1000 is installed or which may be accessed by the device without being part of the device. For example, NVM/storage 1020 may be accessed over a network via communication interface(s) 1025.

Communication interface(s) 1025 may provide an interface for system 1000 to communicate over one or more networks and/or with any other suitable device. The system 1000 may wirelessly communicate with one or more components of a wireless network in accordance with any of one or more wireless network standards and/or protocols.

For one embodiment, at least one of the processor(s) 1005 may be packaged together with logic of one or more controllers (e.g., memory controller module 1030) of the system control module 1010. For one embodiment, at least one of the processor(s) 1005 may be packaged together with logic of one or more controllers of the system control module 1010 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 1005 may be integrated on the same die with logic of one or more controllers of the system control module 1010. For one embodiment, at least one of the processor(s) 1005 may be integrated on the same die with logic of one or more controllers of the system control module 1010 to form a system on chip (SoC).

In various embodiments, system 1000 may be, but is not limited to being: a server, workstation, desktop computing device, or mobile computing device (e.g., laptop computing device, handheld computing device, tablet, netbook, etc.). In various embodiments, system 1000 may have more or fewer components and/or different architectures. For example, in some embodiments, system 1000 includes one or more cameras, keyboards, liquid Crystal Display (LCD) screens (including touch screen displays), non-volatile memory ports, multiple antennas, graphics chips, application Specific Integrated Circuits (ASICs), and speakers.

It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, using Application Specific Integrated Circuits (ASIC), a general purpose computer or any other similar hardware device. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions as described above. Likewise, the software programs of the present application (including associated data structures) may be stored on a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. In addition, some steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.

Furthermore, portions of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application by way of operation of the computer. Those skilled in the art will appreciate that the form of computer program instructions present in a computer readable medium includes, but is not limited to, source files, executable files, installation package files, etc., and accordingly, the manner in which the computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Herein, a computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by a computer.

Communication media includes media whereby a communication signal containing, for example, computer readable instructions, data structures, program modules, or other data, is transferred from one system to another. Communication media may include conductive transmission media such as electrical cables and wires (e.g., optical fibers, coaxial, etc.) and wireless (non-conductive transmission) media capable of transmitting energy waves, such as acoustic, electromagnetic, RF, microwave, and infrared. Computer readable instructions, data structures, program modules, or other data may be embodied as a modulated data signal, for example, in a wireless medium, such as a carrier wave or similar mechanism, such as that embodied as part of spread spectrum technology. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The modulation may be analog, digital or hybrid modulation techniques.

By way of example, and not limitation, computer-readable storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media include, but are not limited to, volatile memory, such as random access memory (RAM, DRAM, SRAM); and nonvolatile memory such as flash memory, various read only memory (ROM, PROM, EPROM, EEPROM), magnetic and ferromagnetic/ferroelectric memory (MRAM, feRAM); and magnetic and optical storage devices (hard disk, tape, CD, DVD); or other now known media or later developed computer-readable information/data that can be stored for use by a computer system.

An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to operate a method and/or a solution according to the embodiments of the present application as described above.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the apparatus claims can also be implemented by means of one unit or means in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.

Claims

1. A method at a network device for subscribing to novel sections, wherein the method comprises:

responding to the batch subscription chapter request, determining recommended subscription data information corresponding to the user according to the reading capability information of the user and combining subscription statistical model information, wherein the responding to the batch subscription chapter request, determining the recommended subscription data information corresponding to the user according to the reading capability information of the user and combining subscription statistical model information comprises the following steps: responding to the batch subscription chapter request, and acquiring subscription data information to be recommended corresponding to the batch subscription chapter request from subscription statistical model information; the subscription data information to be recommended is adjusted according to the reading capability information of the user, and the subscription data information to be recommended corresponding to the user is obtained, wherein the subscription data information to be recommended is matched with the reading capability information of the user, and the reading capability information of the user comprises at least one of the following items: payment information of the user; payment information of the user in the reading application; reading quantity information of the user; reading quantity information of the user in the reading application;

returning the batch subscription page information to the user equipment as response information of the batch subscription chapter request;

the subscription statistical model information comprises first subscription statistical model information, wherein the first subscription statistical model information comprises section subscription information of all reading users corresponding to the reading application about a novel section; the responding to the batch subscription chapter request obtains the subscription data information to be recommended corresponding to the batch subscription chapter request from subscription statistical model information, and the method comprises the following steps: responding to the batch subscription chapter request, and generating to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to reading users with the reading user proportion equal to or larger than the reading proportion threshold value information in all reading users corresponding to the reading application, wherein the to-be-recommended subscription data information comprises the chapter subscription information and the reading user proportion corresponding to the chapter subscription information; or,

the subscription statistical model information comprises second subscription statistical model information, wherein the second subscription statistical model information comprises chapter subscription information of all target novels corresponding to the target novels about the target novels; the responding to the batch subscription chapter request obtains the subscription data information to be recommended corresponding to the batch subscription chapter request from subscription statistical model information, and the method comprises the following steps: responding to the batch subscription chapter request, and generating to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to a target novel user with the target novel user proportion equal to or larger than the novel proportion threshold value information in all target novel users corresponding to the target novel, wherein the to-be-recommended subscription data information comprises the chapter subscription information and the target novel user proportion corresponding to the chapter subscription information; or,

The subscription statistical model information comprises third subscription statistical model information, wherein the third subscription statistical model information comprises chapter subscription information of a user corresponding to the user equipment about a novel chapter; the responding to the batch subscription chapter request obtains the subscription data information to be recommended corresponding to the batch subscription chapter request from subscription statistical model information, and the method comprises the following steps: responding to the batch subscription chapter request, determining chapter subscription information with subscription proportion information equal to or larger than subscription proportion threshold value information in one or more chapter subscription information according to one or more chapter subscription information of a user corresponding to the user equipment on a novel chapter, and generating to-be-recommended subscription data information corresponding to the batch subscription request according to the chapter subscription information, wherein the to-be-recommended subscription data information comprises the chapter subscription information; or,

the subscription statistical model information comprises first subscription statistical model information, second subscription statistical model information and third subscription statistical model information, wherein the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter, the second subscription statistical model information comprises chapter subscription information of all target novel users corresponding to the target novel about the target novel, and the third subscription statistical model information comprises chapter subscription information of the user equipment corresponding to the user about the novel chapter; the responding to the batch subscription chapter request obtains subscription data information to be recommended corresponding to the batch subscription chapter request from subscription statistical model information, and the method comprises the following steps: and responding to the batch subscription chapter request, and determining to-be-recommended subscription data information corresponding to the batch subscription chapter request according to the weight information of the first subscription statistical model information, the second subscription statistical model information and the third subscription statistical model information.

2. The method of claim 1, wherein the bulk subscription page information comprises a subscription confirmation button;

the method further comprises the steps of:

receiving batch subscription instruction information sent by the user equipment in response to the triggering operation of the subscription confirmation button by the user, wherein the batch subscription instruction information comprises a plurality of target chapters in the target novels subscribed by the user;

and executing the batch subscription instruction information, and correspondingly updating chapter subscription information of the user about the target novel in the reading application.

3. The method of claim 1 or 2, wherein the subscription statistical model information comprises at least one of:

the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter;

the second subscription statistical model information comprises chapter subscription information of all target novels corresponding to the target novels about the target novels;

and third subscription statistical model information, wherein the third subscription statistical model information comprises chapter subscription information of the user equipment corresponding to a user about a novel chapter.

4. The method of claim 1 or 2, wherein the bulk subscription page information further comprises at least one of:

a subscription confirmation button;

a user configuration button for the target novel;

subscribing data information with preferential;

subscription data information is free.

5. A method at a user equipment side for subscribing to novel chapters, wherein the method comprises:

receiving and presenting batch subscription page information returned by the network equipment in response to the batch subscription chapter request, wherein the batch subscription page information comprises recommendation subscription data information about the target novels, the recommendation subscription data information adjusts acquisition of to-be-recommended subscription data information corresponding to the batch subscription chapter request according to the reading capability information of the user, the to-be-recommended subscription data information is acquired from subscription statistical model information, and the reading capability information of the user comprises at least one of the following: payment information of the user; payment information of the user in the reading application; reading quantity information of the user; the reading quantity information of the user in the reading application, wherein the subscription statistical model information comprises first subscription statistical model information, the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter, the to-be-recommended subscription data information is generated according to the chapter subscription information corresponding to the reading user of which the reading user proportion is equal to or greater than the reading proportion threshold value information in all the reading users corresponding to the reading application, and the to-be-recommended subscription data information comprises the chapter subscription information and the reading user proportion corresponding to the chapter subscription information; or the subscription statistical model information comprises second subscription statistical model information, the second subscription statistical model information comprises chapter subscription information about the target novels of all target novels corresponding to the target novels, the to-be-recommended subscription data information is generated according to chapter subscription information corresponding to target novels of which the target novels user proportion is equal to or greater than the novels proportion threshold value information in all target novels corresponding to the target novels, and the to-be-recommended subscription data information comprises the chapter subscription information and the target novels user proportion corresponding to the chapter subscription information; or the subscription statistical model information comprises third subscription statistical model information, the third subscription statistical model information comprises chapter subscription information of a corresponding user of the user equipment about a novel chapter, the to-be-recommended subscription data information is determined according to chapter subscription information with subscription proportion information equal to or greater than subscription proportion threshold value information in one or more chapter subscription information of the corresponding user of the user equipment about the novel chapter, and the to-be-recommended subscription data information comprises the chapter subscription information; or the subscription statistical model information comprises first subscription statistical model information, second subscription statistical model information and third subscription statistical model information, wherein the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter, the second subscription statistical model information comprises chapter subscription information of all target novel users corresponding to the target novel about the target novel, the third subscription statistical model information comprises chapter subscription information of the user equipment corresponding to the user about the novel chapter, and the to-be-recommended subscription data information is determined according to weight information of the first subscription statistical model information, the second subscription statistical model information and the third subscription statistical model information.

6. The method of claim 5, wherein the bulk subscription page information comprises a subscription confirmation button; the method further comprises the steps of:

and sending batch subscription instruction information to the network equipment in response to the triggering operation of the subscription confirmation button by the user, wherein the batch subscription instruction information comprises a plurality of target chapters in the target novels subscribed by the user.

7. The method of claim 5 or 6, wherein the bulk subscription page information further comprises a user configuration button; the method further comprises the steps of:

popping up a batch selection page related to the novel chapters in response to the triggering operation of the user configuration button by a user, wherein the batch selection page comprises a plurality of novel chapters in the target novel and a subscription confirmation button;

determining a plurality of target chapters in the target novels subscribed by the user in response to the selection operation of the plurality of novels chapters by the user;

and sending batch subscription instruction information to the network equipment in response to the triggering operation of the subscription confirmation button by a user, wherein the batch subscription instruction information comprises the target chapters.

8. A method at a user equipment side for subscribing to novel chapters, wherein the method comprises:

responding to batch subscription triggering operation executed by a user in a reading page of a target novel, and determining recommended subscription data information corresponding to the user according to the reading capability information of the user and in combination with subscription statistical model information, wherein the reading capability information of the user comprises at least one of the following: payment information of the user; payment information of the user in a reading application; reading quantity information of the user; the method comprises the steps that the reading quantity information of a user in the reading application is obtained, wherein the subscription statistical model information comprises first subscription statistical model information, the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter, the to-be-recommended subscription data information is generated according to the chapter subscription information corresponding to the reading user, of which the reading user proportion is equal to or greater than the reading proportion threshold value information, in all the reading users corresponding to the reading application, and the to-be-recommended subscription data information comprises the chapter subscription information and the reading user proportion corresponding to the chapter subscription information; or the subscription statistical model information comprises second subscription statistical model information, the second subscription statistical model information comprises chapter subscription information about the target novels of all target novels corresponding to the target novels, the to-be-recommended subscription data information is generated according to chapter subscription information corresponding to target novels of which the target novels user proportion is equal to or greater than the novels proportion threshold value information in all target novels corresponding to the target novels, and the to-be-recommended subscription data information comprises the chapter subscription information and the target novels user proportion corresponding to the chapter subscription information; or the subscription statistical model information comprises third subscription statistical model information, the third subscription statistical model information comprises chapter subscription information of a user equipment corresponding user about a novel chapter, the to-be-recommended subscription data information is determined according to chapter subscription information with subscription proportion information equal to or greater than subscription proportion threshold value information in one or more chapter subscription information of the user equipment corresponding user about the novel chapter, and the to-be-recommended subscription data information comprises the chapter subscription information; or the subscription statistical model information comprises first subscription statistical model information, second subscription statistical model information and third subscription statistical model information, wherein the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter, the second subscription statistical model information comprises chapter subscription information of all target novel users corresponding to the target novel about the target novel, the third subscription statistical model information comprises chapter subscription information of the user corresponding to the user equipment about the novel chapter, and the to-be-recommended subscription data information is determined according to weight information of the first subscription statistical model information, the second subscription statistical model information and the third subscription statistical model information;

9. A method for subscribing to a novel section, wherein the method comprises:

the network device receives the batch subscription chapter request, determines recommended subscription data information corresponding to the user according to the reading capability information of the user and combines subscription statistical model information, and generates corresponding batch subscription page information, wherein the batch subscription page information comprises the recommended subscription data information, the batch subscription page information is returned to the user device as response information of the batch subscription chapter request, and the recommended subscription data information corresponding to the user is determined according to the reading capability information of the user and combines subscription statistical model information, and comprises the following steps: acquiring to-be-recommended subscription data information corresponding to the batch subscription chapter request from subscription statistical model information; the subscription data information to be recommended is adjusted according to the reading capability information of the user, and the subscription data information to be recommended corresponding to the user is obtained, wherein the subscription data information to be recommended is matched with the reading capability information of the user, and the reading capability information of the user comprises at least one of the following items: payment information of the user; payment information of the user in the reading application; reading quantity information of the user; reading quantity information of the user in the reading application;

The subscription statistical model information comprises first subscription statistical model information, wherein the first subscription statistical model information comprises section subscription information of all reading users corresponding to the reading application about a novel section; the obtaining the subscription data information to be recommended corresponding to the batch subscription chapter request from the subscription statistical model information includes: generating to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to reading users, of which the reading user proportion is equal to or greater than the reading proportion threshold value information, in all reading users corresponding to the reading application, wherein the to-be-recommended subscription data information comprises the chapter subscription information and the reading user proportion corresponding to the chapter subscription information; or,

the subscription statistical model information comprises second subscription statistical model information, wherein the second subscription statistical model information comprises chapter subscription information of all target novels corresponding to the target novels about the target novels; the obtaining the subscription data information to be recommended corresponding to the batch subscription chapter request from the subscription statistical model information includes: generating to-be-recommended subscription data information corresponding to the batch subscription request according to chapter subscription information corresponding to the target novel users with the target novel user proportion equal to or larger than the novel proportion threshold value information in all target novel users corresponding to the target novel, wherein the to-be-recommended subscription data information comprises the chapter subscription information and the target novel user proportion corresponding to the chapter subscription information; or,

The subscription statistical model information comprises third subscription statistical model information, wherein the third subscription statistical model information comprises chapter subscription information of a user corresponding to the user equipment about a novel chapter; the obtaining the subscription data information to be recommended corresponding to the batch subscription chapter request from the subscription statistical model information includes: determining section subscription information with subscription proportion information equal to or larger than subscription proportion threshold value information in the section subscription information according to one or more section subscription information of the user equipment corresponding to the user on the novel section, and generating to-be-recommended subscription data information corresponding to the batch subscription request according to the section subscription information, wherein the to-be-recommended subscription data information comprises the section subscription information; or,

the subscription statistical model information comprises first subscription statistical model information, second subscription statistical model information and third subscription statistical model information, wherein the first subscription statistical model information comprises chapter subscription information of all reading users corresponding to the reading application about a novel chapter, the second subscription statistical model information comprises chapter subscription information of all target novel users corresponding to the target novel about the target novel, and the third subscription statistical model information comprises chapter subscription information of the user equipment corresponding to the user about the novel chapter; the obtaining the subscription data information to be recommended corresponding to the batch subscription chapter request from the subscription statistical model information includes: determining to-be-recommended subscription data information corresponding to the batch subscription chapter request according to the weight information of the first subscription statistical model information, the second subscription statistical model information and the third subscription statistical model information;

10. A device for subscribing to a novel section, wherein the device comprises:

a processor; and

a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the operations of the method of any one of claims 1 to 8.

11. A computer readable medium storing instructions that, when executed, cause a system to perform the operations of the method of any one of claims 1 to 8.