CN110851583A - Novel recommendation method and device - Google Patents
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Abstract
The application aims to provide a novel recommendation method and device, and the method and device are used for acquiring a reading application account identification of a user and sending a novel recommendation advertisement request to network equipment after the user equipment detects that the user enters a reading application; when the network equipment inquires that the login time interval between the current time and the last time of the user exceeds a preset time interval threshold, determining at least one target novel type and the recommendation priority of at least one corresponding target novel and the target novel type according to the reading payment information, the reading bookshelf book information and the historical reading information of the user, and generating novel recommendation advertisement information corresponding to the target novel type; the novel recommended advertisement information is sent to the user equipment according to the recommendation priority, the user equipment displays the novel recommended advertisement information in the reading application, the purpose that the novel recommended advertisement information is related to the reading behavior of the user and is preferred is achieved, time and labor are not needed, and therefore the reading experience degree of the user and the viscosity of the user are improved.
Description
Technical Field
The application relates to the field of computers, in particular to a novel recommendation method and device.
Background
Currently, various electronic devices are continuously penetrated into the aspects of people's lives. Among them, due to portability, more and more users prefer to read books through electronic devices (such as mobile phones, PADs, etc.). The electronic book application has the advantages of portability, paperless performance and the like, a reading user can read books in various fragmentary time, the reading frequency and the reading duration of the user are greatly improved, and the advertisement putting in the electronic book application undoubtedly can generate good putting effect because the electronic book application has a wide user group. In the existing electronic book applications, advertisement delivery is mostly realized in an open screen advertisement mode. For example, when a user opens an electronic book application, an open screen advertisement is launched in the opening process of the electronic application to attract the user to watch, but the open screen advertisement can only be launched in the opening process of the electronic book application, and the electronic book application is opened for a small number of times and is not repeatedly launched, so that the launching amount of the open screen advertisement is difficult to increase.
Disclosure of Invention
An object of the present application is to provide a novel recommendation method and device, so as to recommend a novel which is related to a reading behavior of a user and preferred by the user to the user, without requiring the user to search for the novel with time and labor, thereby improving the reading experience of the user and the user viscosity.
According to an aspect of the present application, a novel recommendation method is provided, wherein the method is applied to a network device side, and the method includes:
receiving a novel recommendation advertisement request sent by user equipment, wherein the novel recommendation advertisement request comprises a reading application account identifier;
inquiring reading payment information of a user corresponding to the reading application account identification, a current login time interval, a last login time interval, reading bookshelf book information and historical reading information;
if the login time interval exceeds a preset time interval threshold, determining at least one target novel type, at least one corresponding target novel and the recommendation priority of the target novel type according to the reading payment information, the reading bookshelf book information and the historical reading information;
generating novel recommended advertisement information corresponding to the target novel type based on the at least one target novel type and at least one corresponding target novel, wherein the novel recommended advertisement information comprises identification information of at least one target novel corresponding to the target novel type;
and sending the novel recommended advertisement information corresponding to the target novel type to the user equipment according to the recommendation priority, so that the user equipment displays the novel recommended advertisement information in a reading application.
Further, in the method for recommending a novel at the network device side, if the login time interval exceeds a preset time interval threshold, determining at least one target novel type and at least one corresponding target novel and a recommended priority of the target novel type according to the reading payment information, the reading bookshelf book information and the historical reading information, including:
if the login time interval exceeds a preset time interval threshold, determining at least one type of novel to be recommended according to the book information of the reading bookshelf;
screening the at least one novel type to be recommended according to the reading payment information and the historical reading information to obtain at least one target novel type and the recommendation priority of the corresponding at least one novel to be recommended and the target novel type;
and determining at least one target novel corresponding to each target novel type based on at least one to-be-recommended novel corresponding to each target novel type in the at least one target novel type.
Further, in the method for recommending a novel at the network device end, the determining at least one target novel corresponding to each target novel type based on at least one to-be-recommended novel corresponding to each target novel type in the at least one target novel type includes:
acquiring scoring information and historical reading numbers of each novel to be recommended;
and selecting and determining at least one target novel from at least one novel to be recommended corresponding to the target novel type according to the grading information and the historical reading number of the novel to be recommended.
Further, the novel recommendation method of the network device further includes:
receiving a novel recommended advertisement updating instruction sent by the user equipment;
responding to the novel recommended advertisement updating instruction, and according to the recommendation priority, obtaining novel recommended advertisement information of the target novel type corresponding to the next recommendation priority from the novel recommended advertisement information of the target novel type corresponding to each recommendation priority in sequence;
using the novel recommended advertisement information of the target novel type corresponding to the next recommendation priority as updated novel recommended advertisement information;
and sending the updated novel recommended advertisement information to the user equipment so that the user equipment updates and displays the updated novel recommended advertisement information in a reading application.
Further, in the method for recommending a novel at the network device side, if the login time interval exceeds a preset time interval threshold, determining at least one target novel type, at least one corresponding target novel and a recommended priority of the target novel type according to the reading payment information, the reading bookshelf book information and the historical reading information, and further comprising:
determining free reading permission of at least one target novel in the novel recommendation advertisement information according to the reading payment information and/or the login time interval;
wherein the method further comprises:
receiving a viewing instruction of a free reading page in the novel recommended advertisement information sent by the user equipment;
responding to the viewing instruction, and acquiring the name of the novel viewed in the reading application by the user and the reading application account number of the user;
adding the novel corresponding to the name and the novel chapter content information corresponding to the free reading authority of the novel corresponding to the name to a bookshelf of a reading application where a user corresponding to the reading application account is located, and generating prompt information for indicating that the novel viewed by the user in the reading application is added to the bookshelf;
and sending the prompt information to the user equipment.
According to another aspect of the present application, there is also provided a novel recommendation method, applied to a device, the method including:
in response to detecting that a user enters a reading application, acquiring a reading application account identification of the user;
sending a novel recommendation advertisement request to network equipment based on the reading application account identification;
receiving novel recommended advertisement information corresponding to a target novel type sent by the network equipment, wherein the novel recommended advertisement information corresponding to the target novel type comprises identification information of at least one target novel corresponding to the target novel type, and after determining the recommended priority of at least one target novel type and at least one corresponding target novel and the target novel type according to the obtained reading payment information, reading bookshelf book information and historical reading information of the user, the novel recommended advertisement information corresponding to the target novel type is generated respectively according to the recommended priority based on the at least one target novel type and at least one corresponding target novel;
and displaying the novel recommendation advertisement information in the reading application.
Further, in the novel recommendation method of the user equipment side, the method further includes:
sending a novel recommended advertisement updating instruction to the network equipment in response to detecting the novel recommended advertisement updating operation of the user on the reading application;
receiving updated novel recommended advertisement information sent by the network equipment, wherein the updated novel recommended advertisement information is novel recommended advertisement information of a target novel type corresponding to the next recommendation priority, which is obtained by the network equipment according to the recommendation priority and in sequence from the novel recommended advertisement information of the target novel type corresponding to each recommendation priority;
and updating and displaying the updated novel recommendation advertisement information in the reading application.
Further, in the novel recommendation method of the user equipment side, the method further includes:
sending a free reading page viewing instruction to the network equipment in response to detecting that the user views the free reading page from the novel recommended advertisement information displayed in the reading application;
receiving prompt information sent by the network equipment and used for indicating that a novel viewed in the reading application by the user is added to a bookshelf;
and displaying the prompt information in the reading application.
According to another aspect of the present application, there is also provided a computer readable medium having computer readable instructions stored thereon, which, when executed by a processor, cause the processor to implement the novel recommendation method as described above.
According to another aspect of the present application, there is also provided a network device, wherein the network device includes:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the novel recommendation method at the network device side as described above.
According to another aspect of the present application, there is also provided a user equipment, wherein the user equipment includes:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the novel recommendation method at the user equipment side as described above.
Compared with the prior art, after a user enters a reading application, the method and the device have the advantages that the user equipment obtains the reading application account identification of the user and sends a novel recommendation advertisement request to network equipment based on the reading application account identification; enabling the network equipment to inquire reading payment information, current login time interval between current time and last time, reading bookshelf book information and historical reading information of a user corresponding to the reading application account identification, if the login time interval exceeds a preset time interval threshold, determining at least one target novel type and at least one corresponding target novel and recommendation priority of the target novel type by the network equipment according to the reading payment information, the reading bookshelf book information and the historical reading information, generating novel recommendation advertisement information corresponding to the target novel type based on the at least one target novel type and the at least one corresponding target novel, wherein the novel recommendation advertisement information comprises identification information of the at least one target novel corresponding to the target novel type, and finally sending the novel recommendation advertisement information corresponding to the target novel type to the user according to the recommendation priority The user equipment displays the novel recommendation advertisement information in the reading application, so that the target novel which is related to the reading behavior of the user and preferred by the user can be recommended to the user, the user does not need to waste time and labor to find the novel to be viewed, and the reading experience and the viscosity of the user are increased while the viewing interest of the user on the recommended novel is increased.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 illustrates an interaction flow diagram of a novel recommendation method in accordance with an aspect of the subject application;
the same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present application is described in further detail below with reference to the attached figures.
In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
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 computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), 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, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
As shown in fig. 1, an interaction flow diagram of a novel recommendation method according to an aspect of the present application is applied to a process of recommending a novel related to a reading behavior of a user a to the user a after the reading user enters a reading application, and includes a user device and a network device. The novel recommendation method comprises the following steps: step S11, step S12, step S13, step S14, step S21, step S22, step S23, step S24, and step S25, which specifically includes the following steps:
in an actual application scene of a user reading a novel, when a user a opens a reading application to enter a reading interface of the reading application, and after detecting that the user a enters the reading application, the user equipment acquires, in response to detecting that the user enters the reading application, a reading application account identifier of the user in step S11; here, the reading application account id of the user is used to indicate a unique id of the user in the reading application, so that the user corresponding to which account in which reading application the user specifically belongs can be known through the reading application account id.
And step S12, the user equipment sends a novel recommendation advertisement request to network equipment based on the reading application account identification.
Step S21, the network device receives a novel recommendation advertisement request sent by the user device, where the novel recommendation advertisement request includes a reading application account id.
Step S22, the network device queries the reading payment information of the user corresponding to the reading application account id, the login time interval between the current time and the last time, the reading bookshelf book information, and the historical reading information.
Here, the reading payment information of the user includes, but is not limited to, a payment condition of the user in a latest reading stage, a history payment condition of the user in all history reading processes, and of course, the payment condition of the latest reading stage or all history payment conditions includes a condition of paying or not paying for different types of novels read by the user, a chapter condition of paying, a payment and payment form (such as installments or one-time payment) of the whole novels, and the like.
The reading bookshelf book information of the user is used for indicating novel books collected in a bookshelf in a reading application by the user, and the novel types that the user likes to read at ordinary times or the novel chapter content description information that the user likes to view can be reflected through the reading bookshelf book information of the user, wherein the novel types include but are not limited to different types of novel in urban high-hand types, urban life types, allopatric super-energy types, history traversing types, countryside types, spy warfare types, swordsman types and the like. The historical reading information includes, but is not limited to, historical reading progress information of each novel read by the user, related novel read recently or related novel browsed and the type thereof.
Step S23, if the login time interval exceeds a preset time interval threshold, the network device determines at least one target novel type, at least one corresponding target novel and a recommended priority of the target novel type according to the reading payment information, the reading bookshelf book information and the historical reading information. In a preferred embodiment of the present application, the preset time interval threshold is preferably one week, and if the login time interval between the last login time and the current login time of the user a in the reading application exceeds one week, the network device determines, according to the obtained reading payment information, the reading bookshelf book information and the historical reading information of the user a, one or more target novel types preferred by the user, and at least one corresponding target novel and a recommendation priority of each target novel type, so that the target novel can be subsequently recommended to the user device corresponding to the user a according to the recommendation priority.
Step S24, the network device generates novel recommended advertisement information corresponding to the target novel type based on the at least one target novel type and the corresponding at least one target novel, where the novel recommended advertisement information includes identification information of the at least one target novel corresponding to the target novel type.
Step S25, the network device sends the novel recommended advertisement information corresponding to the target novel type to the user device according to the recommendation priority, so that the user device displays the novel recommended advertisement information in a reading application.
Step S13, the user equipment receives novel recommended advertisement information corresponding to a target novel type sent by the network equipment, where the novel recommended advertisement information corresponding to the target novel type includes identification information of at least one target novel corresponding to the target novel type, and the novel recommended advertisement information corresponding to the target novel type is generated by the network equipment according to the recommendation priorities after determining at least one target novel type, at least one corresponding target novel and the target novel type according to the obtained reading payment information, reading book information and historical reading information of the user, and based on the at least one target novel type and at least one corresponding target novel, according to the recommendation priorities.
Step S14, the user equipment displays the novel recommendation advertisement information in the reading application, so that novel relevant to the reading behavior of the user can be recommended to the user after the user enters a reading interface of the reading application, and the viewing interest and the reading experience degree of the user on the recommended novel are increased.
Through the steps S11 to S14 and S21 to S25, after the user device detects that the user enters the reading application, the novel recommended advertisement request is sent to the network device, so that the network device can query the reading payment information, the current login time interval between the current time and the last time, the reading bookshelf book information and the historical reading information of the user corresponding to the reading application account id in the novel recommended advertisement request after receiving the novel recommended advertisement request, and determine one or more target novel types preferred by the user and at least one corresponding target novel and the recommended priority of the target novel types according to the reading payment information, the reading bookshelf book information and the historical reading information of the user when the current login time interval between the current time and the last time of the user exceeds a preset time interval threshold value, and generate the novel recommended advertisement information, the network equipment sends the novel recommendation advertisement information to user equipment, and the user equipment displays the novel recommendation advertisement information in a reading application, so that the network equipment can recommend a target novel which is related to the reading behavior of the user and preferred by the user to the user, the user does not need to waste time and labor to find the novel to be viewed, and the reading experience degree and the user viscosity of the user are increased while the viewing interest of the user on the recommended novel is increased.
Next to the foregoing embodiment of the present application, in step S23, if the login time interval exceeds a preset time interval threshold, the network device determines at least one target novel type and at least one corresponding target novel and a recommended priority of the target novel type according to the reading payment information, the reading bookshelf book information, and the historical reading information, and specifically includes:
determining at least one type of novel to be recommended according to the book information of the reading bookshelf;
screening the at least one novel type to be recommended according to the reading payment information and the historical reading information to obtain at least one target novel type and the recommendation priority of the corresponding at least one novel to be recommended and the target novel type;
and determining at least one target novel corresponding to each target novel type based on at least one to-be-recommended novel corresponding to each target novel type in the at least one target novel type.
For example, the reading bookshelf book information of the user may reflect a novel type that the user likes to read at ordinary times or a novel chapter content description information that the user likes to view, and according to the reading bookshelf book information, one or more novel types that the user a likes to view may be determined, for example, the novel types that the user a likes to view may be determined according to the reading bookshelf book information, such as an allopatric type, a history traversing type, a kind of field type, a spy fighting type, and a sworderly type, and these five novel types determined according to the reading bookshelf book information are only a preferred embodiment of the present application, and these five novel types determined according to the reading bookshelf book information may be determined as novel types to be recommended to the user a, that is, the novel types to be recommended are five and are respectively: a different operation super energy type, a history traversing type, a species field type, a spy fighting type and a swordsman type; then, five novel types to be recommended to the user a are screened according to the reading payment information and the historical reading information of the novel of the user a in the reading process, for example, according to the fact that the novel of the historical traversal type read recently by the user a is completely or basically completely read, and one third or less of the novel of the planting field type is read, half of the novel of the spy type is read, for another example, the novel type read most recently by the user a is the swordsman type, most of the novel browsed are the spy type and the swordsman type, for another example, the novel of the spy type and the historical traversal type are read by the user a, and the five novel types to be recommended to the user a are selected through analysis of the historical reading information and the reading payment information of the user a: the method comprises the following steps of screening out target novels recommended to a user A for the user from a different-art super-energy type, a history traversing type, a species field type, a spy fighting type and a swordsman type: the method comprises the following steps of (1) determining a historical traversing type, a swordsman type and a spy type, and determining the recommendation priorities of the three target novel types from high to low as follows: the method comprises the following steps of obtaining recommendation priority of each target novel type according to a history traversing type, a spy fighting type and a swordsman type, and then obtaining novel which are the same as or similar to each target novel type as novel to be recommended, wherein the novel to be recommended are respectively as follows: novel 1, novel 2, novel 3, novel 4, novel 5, novel 6, novel 7, novel 8, novel 9, novel 10, novel 11, novel 12, novel 13 and novel 14, and based on the three target novel types: 14 novels to be recommended corresponding to the historical crossing type, the spy fighting type and the swordsman type: the method comprises the steps of determining a novel 1, a novel 2, a novel 3, a novel 4, a novel 5, a novel 6, a novel 7, a novel 8, a novel 9, a novel 10, a novel 11, a novel 12, a novel 13 and a novel 14, and determining at least one target novel corresponding to each target novel type, so as to recommend the novel related to reading behaviors, payment behaviors and the like of a user to the user according to reading payment information, reading bookshelf book information and historical reading information, and further increase the viewing interest and payment willingness of the user on the recommended novel.
Following the above embodiment of the present application, the determining, in the step S23, at least one target novel corresponding to each of the at least one target novel type based on at least one to-be-recommended novel corresponding to each of the at least one target novel type specifically includes:
acquiring scoring information and historical reading numbers of each novel to be recommended;
and selecting and determining at least one target novel from at least one novel to be recommended corresponding to the target novel type according to the grading information and the historical reading number of the novel to be recommended.
For example, in order to recommend high-quality novels to a user, score information and historical reading times of each novels to be recommended are obtained, the score information includes, but is not limited to, comments, collections, praise of readers, and information related to comments recommended to other users, and the historical reading times include, but is not limited to, times of all reading, times of partial reading, times of browsing, times of focusing, and other times for representing the times of reading of the novels by the user, for example, the novels to be recommended corresponding to the history crossing type are: the novel 1, the novel 2, the novel 3, the novel 4, the novel 5 and the novel 6, and the novel to be recommended corresponding to the spy type are as follows: the novels 7, 8, 9, 10 and 11 and the types of swordsmen corresponding to the novels to be recommended are: novel 12, novel 13 and novel 14; according to the scoring information and the historical reading number of each novel to be recommended, the novel to be recommended corresponding to the historical traversing type is as follows: the novel 1, the novel 2, the novel 3, the novel 4, the novel 5 and the novel 6, and the novel to be recommended corresponding to the spy type are as follows: the novels 7, 8, 9, 10 and 11 and the types of swordsmen corresponding to the novels to be recommended are: selecting a target novel recommended by the user from the novel 12, the novel 13 and the novel 14, wherein the selected target novel is, for example: novel 2, novel 3, novel 4, novel 6, novel 7, novel 9, novel 10, novel 12 and novel 14 to enable more accurate and higher quality novel recommendations to the user.
After the user equipment receives the novel recommendation advertisement information sent by the network equipment, the novel recommendation method provided in an embodiment of the present application further includes:
after user equipment receives novel recommended advertisement information sent by network equipment, the novel recommended advertisement information is displayed in reading application by the user equipment, when a user wants to obtain more novel recommended advertisements, the user carries out novel recommended advertisement updating operation on the novel recommended advertisement information displayed in the reading application, the operation can be clicking, double clicking or sliding and the like to trigger the operation of updating an advertisement page, and the user equipment sends a novel recommended advertisement updating instruction to the network equipment in response to the fact that the novel recommended advertisement updating operation carried out on the reading application by the user is detected.
And the network equipment receives a novel recommended advertisement updating instruction sent by the user equipment.
The network equipment responds to the novel recommended advertisement updating instruction, and obtains novel recommended advertisement information of the target novel type corresponding to the next recommended priority from the novel recommended advertisement information of the target novel type corresponding to each recommended priority in sequence according to the recommended priority; for example, after the network device determines the novel recommendation advertisement information, the network device first sends, to the user device, novel recommendation advertisement information generated by at least one target novel corresponding to the target novel type with the highest recommendation priority, that is, the to-be-recommended novel corresponding to the history traversal type with the highest recommendation priority is: the novel recommended advertisement information generated by the novel 1, the novel 2, the novel 3, the novel 4, the novel 5 and the novel 6 is firstly generated for the user equipment, after the network equipment receives a novel recommended advertisement updating instruction, the novel recommended advertisement information of the target novel type corresponding to the next recommended priority is sequentially obtained from the novel recommended advertisement information of the target novel type corresponding to each recommended priority according to the recommended priority, and the novel recommended advertisement information of the target novel type corresponding to the next recommended priority is obtained if the target wild type corresponding to the next recommended priority with the highest recommended priority is the spy type, and the novel recommended advertisement information of the target novel type corresponding to the next recommended priority is the novel recommended advertisement information generated by the novel 7, the novel 9 and the novel 10 corresponding to the spy type.
And the network equipment takes the novel recommended advertisement information of the target novel type corresponding to the next recommendation priority as updated novel recommended advertisement information, namely the updated novel recommended advertisement information is the novel recommended advertisement information generated by the novel 7, the novel 9 and the novel 10 corresponding to the spy fighting type.
And the network equipment sends the updated novel recommended advertisement information to the user equipment so that the user equipment updates and displays the updated novel recommended advertisement information in a reading application.
And the user equipment receives the updated novel recommended advertisement information sent by the network equipment.
The user equipment updates and displays the updated novel recommended advertisement information in the reading application, for example, the advertisement page in the reading application displays the novel recommended advertisement information generated by the novel 7, the novel 9 and the novel 10 corresponding to the spy fighting type, so that the novel recommended advertisement information displayed in the reading application is updated, and the browsing requirements of the user on the recommended advertisements of different novel types are further met.
The novel recommendation method provided in an embodiment of the present application further includes: and the network equipment determines the free reading authority of at least one part of the target novel in the novel recommendation advertisement information according to the reading payment information and/or the login time interval. In an actual reading application scenario, the target novel recommended to the user may be given a right to read free, for example, which paid sections in the target novel can be read free, wherein the users of paid sections in each target novel can receive reading free to different degrees or read free all at once. For example, the determination may be performed according to a time interval between the user and the last login, the last login time, and the reading payment information of the user during reading, for example, the longer the last login time of the user is, the more chapters the target novel corresponding to the novel type can obtain free reading or the higher the probability that the target novel can obtain the full free reading is; for example, more paid chapters of the reading paid information in the reading process of the user can be obtained, more chapters can be obtained for free reading, so that the free reading authority of each target novel in the novel recommendation information can be determined, and the user can read the novel content corresponding to the free reading authority.
When a user views novel recommended advertisement information, the user wants to view a free reading page of a recommended target novel, the user performs a free reading page viewing operation on the novel recommended advertisement information displayed in the reading application, for example, performs an operation in a manner of clicking, double clicking or sliding on the free reading page, and the user equipment sends a free reading page viewing instruction to the network equipment in response to detecting the free reading page viewing operation performed on the novel recommended advertisement information displayed in the reading application by the user.
And the network equipment receives a viewing instruction of a free reading page in the novel recommended advertisement information sent by the user equipment.
And the network equipment responds to the viewing instruction, and acquires the name of the novel viewed in the reading application by the user and the reading application account number of the user, so that the network equipment can know the information of the novel viewed in the reading application by the user and the specific reading application in which the novel is viewed.
The network equipment adds the novel corresponding to the name and the novel chapter content information corresponding to the free reading authority of the novel corresponding to the name to a bookshelf of a reading application where the user corresponding to the reading application account is located, and generates prompt information used for indicating that the novel viewed by the user in the reading application is added to the bookshelf; for example, the network device adds the novel corresponding to the name to the bookshelf of the reading application where the user corresponding to the reading application account is located, and also adds the novel chapter content information corresponding to the free reading right of the novel to the bookshelf of the reading application where the user corresponding to the reading application account is located, so that after a user at a subsequent user device end finds prompt information indicating that the novel viewed by the user in the reading application is added to the bookshelf, the user can view and read the corresponding novel chapter content information in a free reading page for free.
The network device sends the prompt information indicating that the novel viewed by the user in the reading application has been added to the bookshelf to the user device.
The user equipment receives prompt information which is sent by the network equipment and used for indicating that a novel viewed in the reading application by the user is added to a bookshelf;
the user equipment displays the prompt information in the reading application, so that a user corresponding to the user equipment can click on a free reading page in the novel recommended advertisement information displayed by the reading application to receive novel chapter content information which can be read free, and the user can read the received novel chapter content information free of charge.
According to another aspect of the present application, there is also provided a computer readable medium having computer readable instructions stored thereon, which, when executed by a processor, cause the processor to implement the novel recommendation method as described above.
According to another aspect of the present application, there is also provided a network device, wherein the network device includes:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the novel recommendation method at the network device side as described above.
Here, the detailed contents of each embodiment in the network device for novel recommendation may specifically refer to the corresponding parts of the embodiment of the novel recommendation method at the network device side, and are not described herein again.
According to another aspect of the present application, there is also provided a user equipment, wherein the user equipment includes:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the novel recommendation method at the user equipment side as described above.
Here, the detailed contents of each embodiment in the user equipment for novel recommendation may specifically refer to the corresponding parts of the embodiment of the novel recommendation method on the user equipment side, and are not described herein again.
In summary, according to the application, after a user enters a reading application, user equipment acquires a reading application account identifier of the user and sends a novel recommendation advertisement request to network equipment based on the reading application account identifier; enabling the network equipment to inquire reading payment information, current login time interval between current time and last time, reading bookshelf book information and historical reading information of a user corresponding to the reading application account identification, if the login time interval exceeds a preset time interval threshold, determining at least one target novel type and at least one corresponding target novel and recommendation priority of the target novel type by the network equipment according to the reading payment information, the reading bookshelf book information and the historical reading information, generating novel recommendation advertisement information corresponding to the target novel type based on the at least one target novel type and the at least one corresponding target novel, wherein the novel recommendation advertisement information comprises identification information of the at least one target novel corresponding to the target novel type, and finally sending the novel recommendation advertisement information corresponding to the target novel type to the user according to the recommendation priority The user equipment displays the novel recommendation advertisement information in the reading application, so that the target novel which is related to the reading behavior of the user and preferred by the user can be recommended to the user, the user does not need to waste time and labor to find the novel to be viewed, and the reading experience and the viscosity of the user are increased while the viewing interest of the user on the recommended novel is increased.
It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs (including associated data structures) of the present application may be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the 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.
In addition, some 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 through the operation of the computer. Program instructions which invoke the methods of the present application may be stored on a fixed or removable recording medium and/or transmitted via a data stream on a broadcast or other signal-bearing medium and/or stored within a working memory of a computer device operating in accordance with the program instructions. 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 perform a method and/or a solution according to the aforementioned embodiments of the present application.
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 attributes 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 obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (11)
1. A novel recommendation method is applied to a network equipment side, and comprises the following steps:
receiving a novel recommendation advertisement request sent by user equipment, wherein the novel recommendation advertisement request comprises a reading application account identifier;
inquiring reading payment information of a user corresponding to the reading application account identification, a current login time interval, a last login time interval, reading bookshelf book information and historical reading information;
if the login time interval exceeds a preset time interval threshold, determining at least one target novel type, at least one corresponding target novel and the recommendation priority of the target novel type according to the reading payment information, the reading bookshelf book information and the historical reading information;
generating novel recommended advertisement information corresponding to the target novel type based on the at least one target novel type and at least one corresponding target novel, wherein the novel recommended advertisement information comprises identification information of at least one target novel corresponding to the target novel type;
and sending the novel recommended advertisement information corresponding to the target novel type to the user equipment according to the recommendation priority, so that the user equipment displays the novel recommended advertisement information in a reading application.
2. The method of claim 1, wherein the determining a recommended priority of at least one target novel type and corresponding at least one target novel and the target novel type according to the reading payment information, the reading bookshelf book information and the historical reading information comprises:
determining at least one type of novel to be recommended according to the book information of the reading bookshelf;
screening the at least one novel type to be recommended according to the reading payment information and the historical reading information to obtain at least one target novel type and the recommendation priority of the corresponding at least one novel to be recommended and the target novel type;
and determining at least one target novel corresponding to each target novel type based on at least one to-be-recommended novel corresponding to each target novel type in the at least one target novel type.
3. The method of claim 2, wherein the determining at least one target novel corresponding to each of the at least one target novel type based on at least one novel to be recommended corresponding to each of the at least one target novel type comprises:
acquiring scoring information and historical reading numbers of each novel to be recommended;
and selecting and determining at least one target novel from at least one novel to be recommended corresponding to the target novel type according to the grading information and the historical reading number of the novel to be recommended.
4. The method of any of claims 1-3, wherein the method further comprises:
receiving a novel recommended advertisement updating instruction sent by the user equipment;
responding to the novel recommended advertisement updating instruction, and according to the recommendation priority, obtaining novel recommended advertisement information of the target novel type corresponding to the next recommendation priority from the novel recommended advertisement information of the target novel type corresponding to each recommendation priority in sequence;
using the novel recommended advertisement information of the target novel type corresponding to the next recommendation priority as updated novel recommended advertisement information;
and sending the updated novel recommended advertisement information to the user equipment so that the user equipment updates and displays the updated novel recommended advertisement information in a reading application.
5. The method of any of claims 1-3, wherein said determining at least one target novel type and corresponding at least one target novel and a recommended priority of the target novel type based on the reading payment information, the reading bookshelf book information, and the historical reading information further comprises:
determining free reading permission of at least one target novel in the novel recommendation advertisement information according to the reading payment information and/or the login time interval;
wherein the method further comprises:
receiving a viewing instruction of a free reading page in the novel recommended advertisement information sent by the user equipment;
responding to the viewing instruction, and acquiring the name of the novel viewed in the reading application by the user and the reading application account number of the user;
adding the novel corresponding to the name and the novel chapter content information corresponding to the free reading authority of the novel corresponding to the name to a bookshelf of a reading application where a user corresponding to the reading application account is located, and generating prompt information for indicating that the novel viewed by the user in the reading application is added to the bookshelf;
and sending the prompt information to the user equipment.
6. A novel recommendation method is applied to a device side, and comprises the following steps:
in response to detecting that a user enters a reading application, acquiring a reading application account identification of the user;
sending a novel recommendation advertisement request to network equipment based on the reading application account identification;
receiving novel recommended advertisement information corresponding to a target novel type sent by the network equipment, wherein the novel recommended advertisement information corresponding to the target novel type comprises identification information of at least one target novel corresponding to the target novel type, and after determining the recommended priority of at least one target novel type and at least one corresponding target novel and the target novel type according to the obtained reading payment information, reading bookshelf book information and historical reading information of the user, the novel recommended advertisement information corresponding to the target novel type is generated respectively according to the recommended priority based on the at least one target novel type and at least one corresponding target novel;
and displaying the novel recommendation advertisement information in the reading application.
7. The method of claim 6, wherein the method further comprises:
sending a novel recommended advertisement updating instruction to the network equipment in response to detecting the novel recommended advertisement updating operation of the user on the reading application;
receiving updated novel recommended advertisement information sent by the network equipment, wherein the updated novel recommended advertisement information is novel recommended advertisement information of a target novel type corresponding to the next recommendation priority, which is obtained by the network equipment according to the recommendation priority and in sequence from the novel recommended advertisement information of the target novel type corresponding to each recommendation priority;
and updating and displaying the updated novel recommendation advertisement information in the reading application.
8. The method of claim 6 or 7, wherein the method further comprises:
sending a free reading page viewing instruction to the network equipment in response to detecting that the user views the free reading page from the novel recommended advertisement information displayed in the reading application;
receiving prompt information sent by the network equipment and used for indicating that a novel viewed in the reading application by the user is added to a bookshelf;
and displaying the prompt information in the reading application.
9. A computer readable medium having computer readable instructions stored thereon, which, when executed by a processor, cause the processor to implement the method of any one of claims 1 to 8.
10. A network device, wherein the network device comprises:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
11. A user equipment, wherein the user equipment comprises:
one or more processors;
a computer-readable medium for storing one or more computer-readable instructions,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 6-8.
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|---|---|---|---|
| CN201911033629.5A CN110851583A (en) | 2019-10-28 | 2019-10-28 | Novel recommendation method and device |
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| CN201911033629.5A CN110851583A (en) | 2019-10-28 | 2019-10-28 | Novel recommendation method and device |
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| CN110851583A true CN110851583A (en) | 2020-02-28 |
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| CN201911033629.5A Pending CN110851583A (en) | 2019-10-28 | 2019-10-28 | Novel recommendation method and device |
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