CN111666252B - Method and equipment for acquiring recommended heat information of recommended books - Google Patents
Method and equipment for acquiring recommended heat information of recommended books Download PDFInfo
- Publication number
- CN111666252B CN111666252B CN202010461842.2A CN202010461842A CN111666252B CN 111666252 B CN111666252 B CN 111666252B CN 202010461842 A CN202010461842 A CN 202010461842A CN 111666252 B CN111666252 B CN 111666252B
- Authority
- CN
- China
- Prior art keywords
- recommended
- book
- books
- variable
- reading
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/02—Digital computers in general; Data processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators
- G06F15/025—Digital computers in general; Data processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators adapted to a specific application
- G06F15/0291—Digital computers in general; Data processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators adapted to a specific application for reading, e.g. e-books
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
Abstract
The application aims to provide a method and equipment for acquiring recommended heat information of recommended books, wherein the method comprises the following steps: determining a plurality of groups of test users from the reading users of the reading application, wherein the favorite book types of all users in the plurality of groups of test users comprise a first book type; issuing different recommended book packages to each group of test users in the corresponding groups of test users, wherein the book type of all recommended books in each recommended book package comprises a first book type, and each recommended book package comprises at least one variable recommended book and a corresponding fixed recommended book; and acquiring access operation of each test user on each variable recommended book and the fixed recommended book, and determining recommendation heat information of each variable recommended book according to the access operation, wherein the recommendation heat information comprises recommendation ordering information of the variable recommended books. The method and the device can recommend the proper recommended books to each user, and improve the reading experience of the user.
Description
Technical Field
The application relates to the field of communication, in particular to a technology for acquiring recommended heat information of recommended books.
Background
With the popularization of networks, more and more people read through mobile devices or PC devices, and different from traditional book reading, the electronic book reading provides various electronic book contents for users through diversified reading forms on the mobile devices or the PC devices. E-book reading provides reading requirements of various subject matters for users, and various E-book reading applications provide various E-book contents for users, including books, magazines, comics and the like; the user can select the interested content to read online on the front end, and can also request to read offline after downloading. Because the electronic book application has the advantages of portability, paperless performance and the like, a reading user can read books in various fragmented time, and the reading frequency, the reading time length and the like of the user are greatly improved.
Disclosure of Invention
The application aims to provide a method and equipment for acquiring recommended heat information of recommended books.
According to one aspect of the present application, there is provided a method of acquiring recommended heat information of a recommended book, the method comprising: determining a plurality of groups of test users from the reading users of the reading application, wherein the favorite book types of all users in the plurality of groups of test users comprise a first book type; issuing different recommended book packages to each group of test users in the corresponding groups of test users, wherein the book type of all recommended books in each recommended book package comprises a first book type, and each recommended book package comprises at least one variable recommended book and a corresponding fixed recommended book; and acquiring access operation of each test user on each variable recommended book and the fixed recommended book, and determining recommendation heat information of each variable recommended book according to the access operation, wherein the recommendation heat information comprises recommendation ordering information of the variable recommended books.
According to an aspect of the present application, there is provided an apparatus for acquiring recommended heat information of a recommended book, the apparatus comprising: the system comprises a one-to-one module, a first book type and a second book type, wherein the one-to-one module is used for determining a plurality of groups of test users from reading users corresponding to reading applications, and the favorite book types of all users in the plurality of groups of test users comprise the first book type; the two-module is used for issuing different recommended book packages to each group of test users in the plurality of groups of test users, wherein the book type of all recommended books in each recommended book package comprises a first book type, and each recommended book package comprises at least one variable recommended book and a corresponding fixed recommended book; and the three modules are used for acquiring access operations of each test user on each variable recommended book and the fixed recommended book, and determining the recommended heat information of each variable recommended book according to the access operations, wherein the recommended heat information comprises the recommended ordering information of the variable recommended books.
According to an aspect of the present application, there is provided an apparatus for acquiring recommended heat information of a recommended book, wherein the apparatus includes:
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 one aspect of the 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 have the advantages that the recommended heat information of the corresponding variable recommended books can be determined according to the access operation of the users on the recommended book package of each test user, the recommended heat information comprises the recommended ordering information of the variable recommended books, the recommended heat information is determined based on the access operation of big data statistics, and the method and the device are more in line with the reading taste of the current user; furthermore, based on the recommendation heat information, a proper recommended book can be recommended to each user, so that the reading depth and the reading breadth of the user are increased to a certain extent, and the reading experience of the user is improved.
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 accompanying drawings in which:
FIG. 1 illustrates a flow chart of a method of obtaining recommended heat information for a recommended book according to one embodiment of the application;
fig. 2 shows a device schematic diagram of a network device 100 according to an embodiment of the application;
FIG. 3 illustrates an exemplary system that may be used to implement various embodiments described in the present application.
The same or similar reference numbers in the drawings refer to the same or similar parts.
Detailed Description
The application is described in further detail below with reference to the accompanying drawings.
In one exemplary configuration of the application, the terminal, the device of the service 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 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 (for example, perform man-machine interaction through a touch pad), such as a smart phone, a tablet computer and the like, and the mobile electronic product can adopt any operating system, such as 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 applicable to the present application, and 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.
Fig. 1 illustrates a method of acquiring recommended heat information of a recommended book according to an aspect of the present application, which is applicable to a network device, including step S101, step S102, and step S103. Here, 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 multiple servers; the network device has a corresponding reading application.
Specifically, in step S101, the network device determines a plurality of groups of test users from the reading users corresponding to the reading application, where the favorite book types of all the test users in the plurality of groups of test users include the first book type. For example, the reading user holds a reading application, books are read through the reading application, the reading user performs login operation in the reading application in the process of using the reading application, such as establishing or logging in a reading account number or a third party account number associated with the reading application, the network device records and stores user identification information (such as account name, serial code, bound mobile phone number, identity mark, and the like) of each reading user based on the login operation of the reading user, and based on the user identification information, the network device can establish and store relevant information of each reading user, such as a mobile phone model of each reading user, application settings (such as book interface settings, reading background settings, reading text settings, and the like) in the reading application, favorite book types, consumption conditions, and the like. The network device determines a plurality of groups of test users from the reading users corresponding to the reading application based on the relevant information of the reading users, wherein the favorite book types of all the test users in the plurality of groups of test users comprise a first book type, in other words, the favorite book types of all the users comprise the same book type, for example, the favorite book types of the users can comprise one or more corresponding book types based on the classification of the book labels, the favorite book types can be determined by the network device based on the reading history of the users (such as the read books, the books added into a bookshelf or an important mark, and the like), and can be determined according to one or more book labels input by the users. Here, the number difference between each group of test users in the multiple groups of test users is smaller than or equal to a certain percentage (such as 1-5%) of the number of all test users, so that the comparability of test data is enhanced, and the test result is more stable and reliable.
In step S102, the network device issues different recommended book packages to each of the plurality of groups of test users, where each recommended book package includes a first book type and includes at least one variable recommended book and a corresponding fixed recommended book. For example, after determining test users with the same favorite book type, the network device sends a recommended book package corresponding to the first book type to each group of test users, for example, book types of all recommended books include the first book type, and each recommended book package includes at least one variable recommended book and a corresponding fixed recommended book, where the fixed recommended books include books used as comparison objects in the test, the number of fixed recommended books included in each recommended book package is the same, and in some embodiments, the recommendation heat information of the fixed recommended books included in each recommended book package is known. In some embodiments, the fixed recommended books contained in each recommended book package are the same, e.g., the same number and book identification, etc. The variable recommended books comprise books corresponding to a first book type to be tested, and in order to enhance the comparison effect and the like of the test, the recommended books of the recommended book packages corresponding to each group of test users are the same in number. In some embodiments, the recommended books corresponding to the recommended book packages of each of the plurality of test users are the same. According to the scheme, the recommendation ordering information of the recommendation heat information obtained through testing can be more reliable. In some embodiments, each of the recommended books includes a variable recommended book and a corresponding fixed recommended book, each of the recommended book packages includes the same fixed recommended book, and the variable recommended books in each of the recommended book packages are different from the variable recommended books in the other recommended book packages. For example, the other recommended books refer to other recommended book packages except the recommended book package in all recommended book packages corresponding to the multiple groups of test users, and the same fixed recommended books are set in each recommended book package, and the number (such as one book) of variable recommended books in each recommended book package is controlled, so that the mutual influence among the variable recommended books when the variable recommended books are multiple is eliminated, and the reliability of the recommended heat information obtained by the scheme is further ensured.
In step S103, the network device obtains access operations of each test user on each variable recommended book and the fixed recommended book, and determines recommended heat information of each variable recommended book according to the access operations, where the recommended heat information includes recommended sorting information of the variable recommended books. For example, the network device obtains access operations of each test user on each variable recommended book and the fixed recommended book, for example, each test user receives and presents a corresponding recommended book package corresponding to the user device, and obtains access operations of the user on each book in the recommended book package, for example, the access operations include, but are not limited to, clicking the book to read (for example, reading time length is lower than a certain reading time length and is recorded as clicking the book, etc.), reading the book (for example, reading time length is longer than or equal to a certain reading time length and is recorded as reading the book, etc.), or focusing on the book (for example, marking the book or adding the book from a recommended page of the book to a bookshelf, etc.). Each user device sends a corresponding access operation to the network device, the network device determines the recommendation heat information of each variable recommended book based on the access operation and the like in each recommended book package in a period of time, if in some embodiments, the recommendation heat information of each fixed recommended book is known, the personal recommendation heat information of the variable recommended book corresponding to the user is calculated according to the comparison of the access operation of the user to each fixed recommended book and the access operation of the variable recommended book, so that the recommendation heat information of the variable recommended book is obtained according to the personal recommendation heat information of each user in the group of test users, the corresponding recommendation heat information is calculated through a normal distribution, statistical average and other statistical methods, and the corresponding recommendation ranking information is obtained based on the recommendation heat information of each variable recommended book, wherein the recommendation ranking information can be the recommendation ranking information between the variable recommended books contained in the test process, or the recommendation ranking information of each variable recommended book in all books of the first book type. In some embodiments, when each recommended book package only contains one variable recommended book and the same fixed recommended book, the comparison between the access operations of the variable recommended books and the access operations of the fixed recommended books is determined by counting the comparison between the access operations of each group of test users on the variable recommended books and the access operations of the variable recommended books, so that the ranking information between the variable recommended books is determined. Here, the calculation between the recommended heat information requires quantization of access operations, and in some embodiments, the step S103 includes a substep S1031 (not shown) and a substep S1032 (not shown), in which in step S1031, the network device obtains access operations of each test user with respect to each variable recommended book and the fixed recommended book, and performs quantization of the access operations of each set of test users to determine variable quantized access operations corresponding to the variable recommended books and fixed quantized access operations of the fixed recommended books in each set of test users; in step S1032, the recommended popularity information of each variable recommended book is determined according to the variable quantized access operation and the fixed quantized access operation of each group of test users, wherein the recommended popularity information includes recommended ranking information of the variable recommended book. For example, the access operation includes, but is not limited to, clicking a book, reading a book, focusing a book, etc., where a represents the number of times the book is clicked, b represents the unit time length of the book is read by the user, c is based on whether the user focuses on the book, c is 1.5 if the user focuses on the book, c is 1 if the user focuses on the book, and c is 1 if the user does not focus on the book, thereby quantifying the access operation of each recommended book and obtaining a variable quantization access operation and a fixed quantization access operation. The network device can count variable quantitative access operations and corresponding fixed quantitative access operations of variable recommended books of each user in each group of test users to obtain corresponding personal recommended heat information, and then obtain recommended heat information of each group of variable recommended books based on each personal recommended heat information of each group of test users. Or the network equipment counts the variable quantitative access operation obtained by calculation of the access operation of each user about the variable quantitative books in each group of test users and the fixed quantitative access operation of the corresponding fixed recommended books, so that the recommended heat information of the variable recommended books is obtained based on the variable quantitative access operation obtained by calculation and the fixed quantitative access operation.
As in some embodiments, in step S1032, the network device determines the recommended heat information of the recommended books corresponding to each variable according to the variable quantitative access operation, the fixed quantitative access operation, and the recommended heat information of the fixed recommended books of each group of test users, and obtains the recommended ranking information of the recommended books of each variable according to the recommended heat information of the recommended books of each variable. For example, the recommended heat information of the fixed recommended book is known, and the recommended heat information of the corresponding variable recommended book can be obtained by using the ratio of the variable quantized access operation to the fixed quantized access operation and the known recommended heat information, for example, the average value of the recommended heat information of the fixed recommended book is multiplied by the ratio of the variable quantized access operation to the fixed quantized access operation to obtain the recommended heat information of the variable recommended book, and the like.
In some embodiments, in step S101, the network device obtains the number of presented books in the corresponding presentation area of the display device of the user device corresponding to the reading user in the corresponding reading application, and determines a plurality of groups of test users from the reading users of the reading application according to the number of presented books of each reading user, where the favorite book types of all the test users in the plurality of groups of test users include the first book type. For example, the number of books presented in the recommended book pages or the book pages is limited based on different mobile phone models or user settings, the corresponding number of books presented includes the number of books which can be completely presented in the same screen in the book recommended pages of the reading application by the corresponding user equipment, and the network equipment can acquire the number of books presented by the reading user for the recommended books based on different settings (such as arrangement mode, book cover size, etc.) of the reading application of the user equipment. In order to exclude that the recommended books are not presented on the current screen so as to influence the access operation of the users, the corresponding statistical data are unreliable, and the like, the network equipment determines a plurality of groups of test users from the reading users according to the number of the presented books of each reading user, such as test users of the reading users, and the like, wherein the number of the presented books meets the preset condition. In some embodiments, in step S101, the network device obtains the number of presented books in the corresponding presentation area by the display device of the user device corresponding to the reading user in the corresponding reading application; if the number of the books displayed by a certain reading user meets a preset condition, determining the reading user as a candidate reading user; and determining a plurality of groups of test users according to the candidate reading user groups, wherein the favorite book types of all users in the plurality of groups of test users comprise a first book type. For example, the network device first screens out candidate reading users from the reading users based on a preset condition, then groups the candidate reading users to determine a plurality of groups of test users, and the corresponding group number is determined according to the book number of the variable recommended books tested at this time, for example, one variable recommended book corresponds to one group of test users. In some embodiments, the preset conditions include, but are not limited to: the number of the presented books of the reading user is larger than or equal to a preset book number threshold; the number of presented books of the reading user is larger than or equal to the number of recommended books of the recommended book package; the number of presented books of the reading user is the same. For example, in the reading application, a corresponding preset book number threshold is set based on statistical data (such as the number of recommended books in a historical recommended book package, etc.), and if the number of presented books of the reading user is greater than or equal to the preset book number threshold, the network device determines that the reading user is a candidate reading user, etc. Or the network device judges according to the number of the recommended books of the current recommended books, and if the number of the presented books of the reading user is greater than or equal to the number of the recommended books of the recommended book package, the network device determines that the reading user is a candidate reading user and the like. Also, for example, the network device determines, from the reading users, a group of reading users that present the same book as the corresponding candidate reading users, and determines, based on the same number of presented books, a recommended book number of the recommended book package, or the like, where the recommended book number is less than or equal to the same number of presented books, or the like.
In some embodiments, the method further comprises step S104 (not shown). In step S104, the network device determines N variable recommended books with top ranking according to the recommended ranking information of the variable recommended books, and retests and calculates accumulated recommended heat information of the N variable recommended books according to the N variable recommended books and the plurality of groups of test users, where N is a positive integer greater than or equal to 2; and updating the recommended heat information of the N variable recommended books according to the variable recommended books of the N variable recommended books and the accumulated recommended heat information. For example, the network device determines the recommended popularity information of each corresponding variable recommended book through steps S101 to S103 as a corresponding popularity value 1-level ranking, then, the network device repeats steps S101 to S103 with the N variable recommended books ranked first according to the recommended popularity ranking to obtain a corresponding popularity value 2-level ranking, and the like, and then, adds the recommended popularity information of each variable recommended book corresponding to the popularity value 1-level ranking and the recommended popularity information of each variable recommended book corresponding to the popularity value 2-level ranking to obtain recommended popularity information of each variable recommended book, and the added recommended popularity information can be used as final recommended popularity information of the test book. Or, repeating the steps S101 to S103 and the like by continuously taking the M variable recommended books based on the 2-level ranking of the heat value, so as to continuously accumulating to obtain final recommended heat information and the like. Of course, there is a statistical period for each test, for example, the user accesses the recommended book for three days or one week to be effective, and the like, and the period of three days or one week is taken as the corresponding test period, and after each test period is finished, repeated tests can be continued. Of course, there is a certain periodicity of book popularity, the network device may set a period (such as a month or a quarter) as a popularity calculation period, and when the period of the period is over, it restarts to count recommended popularity information of the books recommended by each variable, and so on. In some embodiments, the variable recommended books in the recommended book package of each group of test users in the retest are different from the variable recommended books in the recommended book package of the previous test of the group of test users. For example, in order to prevent the same batch of test users from acquiring the same recommended books and affecting the test result, when the network device recommends the recommended books corresponding to the variable recommended books again, the recommended books corresponding to the variable recommended books should be issued to users different from the previous test. In some embodiments, the fixed recommended books in each recommended book package are also different from the fixed recommended books of the previous test.
In some embodiments, the method further comprises step S105 (not shown). In step S105, the network device recommends at least one of the variable recommended books meeting the preset recommendation condition to the corresponding reading user according to the recommended heat information of the variable recommended books and the preference type of the corresponding reading user in the reading application, wherein the preference book type of the corresponding reading user includes a first book type. For example, after determining the recommendation heat information of each variable recommended book, the network device may push the corresponding recommended book to the user based on the recommendation heat information of the recommended book, e.g., recommend at least one of the variable recommended books to the reading user having the favorite book type including the first book type, or recommend the variable recommended books satisfying the preset recommendation condition, etc. In some embodiments, the preset recommendation conditions include, but are not limited to: the recommended heat information of the variable recommended books is larger than or equal to the average recommended heat information of the corresponding reading users; the recommended heat information of the variable recommended books is in a reading heat interval corresponding to the reading user. For example, the network device performs statistical analysis based on the heat information of the user reading the books or reading the recommended books, determines average recommended heat information of the user reading the books or reading the recommended books, and pushes the variable recommended books to the user device of the user reading the books when the recommended heat information of the variable recommended books is greater than or equal to the corresponding zero recommended books, wherein the average recommended heat information may be a numerical value of the recommended heat corresponding to the recommended books, or may be recommendation ordering information of the recommended books based on the first book type, or the like. If the recommended heat information of the variable recommended books is in the read heat interval, the network device pushes the variable recommended books to the user device of the user, wherein the read heat interval comprises a numerical interval or a corresponding recommended sorting interval of the recommended heat information of the recommended books which are frequently read or accessed by the user, and the like. According to the book pushing method and device, the recommended books which are suitable for the user can be pushed to the user based on the reading habit of the user, the reading breadth of the user is improved, and a good book reading environment is provided for the user.
Fig. 2 illustrates a recommended heat information network device for acquiring recommended books according to an aspect of the present application, including a one-to-one module 101, a two-to-two module 102, and a three-to-three module 103. Specifically, a module 101 is configured to determine a plurality of groups of test users from the reading users corresponding to the reading application, where the favorite book types of all the test users in the plurality of groups of test users include the first book type. And the second module 102 is configured to issue different recommended book packages to each of the plurality of groups of test users, where each recommended book package includes a first book type and includes at least one variable recommended book and a corresponding fixed recommended book. And the three modules 103 are used for acquiring access operations of each test user on each variable recommended book and the fixed recommended book, and determining the recommended heat information of each variable recommended book according to the access operations, wherein the recommended heat information comprises the recommended sorting information of the variable recommended books. Here, the specific embodiments of the one-to-one module 101, the two-to-one module 102 and the three-to-one module 103 shown in fig. 2 are the same as or similar to the embodiments of the step S101, the step S102 and the step S103 shown in fig. 1, and thus are not described in detail and are incorporated herein by reference.
In some embodiments, the device further comprises a four module (not shown) and a five module (not shown). The system comprises a four-module, a first-time module, a second-time module and a third-time module, wherein the four-module is used for determining N variable recommended books with front sequence according to recommendation sequence information of each variable recommended book, and retests and calculates accumulated recommendation heat information of the N variable recommended books according to the N variable recommended books and the plurality of groups of test users, wherein N is a positive integer greater than or equal to 2; and updating the recommended heat information of the N variable recommended books according to the variable recommended books of the N variable recommended books and the accumulated recommended heat information. And the fifth module is used for recommending at least one of the variable recommended books meeting the preset recommendation conditions to the corresponding reading user according to the recommended heat information of the variable recommended books and the preference type of the corresponding reading user in the reading application, wherein the preference book type of the corresponding reading user comprises a first book type. Here, the specific implementation manners of the four modules and the five modules are the same as or similar to the foregoing embodiments of the step S104 and the step S105, and thus are not described in detail, and are incorporated herein by reference.
In addition to the methods and apparatus described in the above embodiments, the present application also provides a computer-readable storage medium storing computer code which, when executed, performs a method as described in any one of the preceding claims.
The 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. 3 illustrates an exemplary system that may be used to implement various embodiments described herein;
in some embodiments, as shown in fig. 3, system 300 can function as any of the above-described devices of the various described embodiments. In some embodiments, system 300 may include one or more computer-readable media (e.g., system memory or NVM/storage 320) having instructions and one or more processors (e.g., processor(s) 305) coupled with the one or more computer-readable media and configured to execute the instructions to implement the modules to perform the actions described in the present application.
For one embodiment, the system control module 310 may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) 305 and/or any suitable device or component in communication with the system control module 310.
The system control module 310 may include a memory controller module 330 to provide an interface to the system memory 315. Memory controller module 330 may be a hardware module, a software module, and/or a firmware module.
The system memory 315 may be used, for example, to load and store data and/or instructions for the system 300. For one embodiment, system memory 315 may include any suitable volatile memory, such as, for example, a suitable DRAM. In some embodiments, the system memory 315 may comprise a double data rate type four synchronous dynamic random access memory (DDR 4 SDRAM).
For one embodiment, system control module 310 may include one or more input/output (I/O) controllers to provide an interface to NVM/storage 320 and communication interface(s) 325.
For example, NVM/storage 320 may be used to store data and/or instructions. NVM/storage 320 may include any suitable nonvolatile memory (e.g., flash memory) and/or may include any suitable nonvolatile storage device(s) (e.g., one or more Hard Disk Drives (HDDs), one or more Compact Disc (CD) drives, and/or one or more Digital Versatile Disc (DVD) drives).
NVM/storage 320 may include storage resources that are physically part of the device on which system 300 is installed or which may be accessed by the device without being part of the device. For example, NVM/storage 320 may be accessed over a network via communication interface(s) 325.
Communication interface(s) 325 may provide an interface for system 300 to communicate over one or more networks and/or with any other suitable device. The system 300 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) 305 may be packaged together with logic of one or more controllers (e.g., memory controller module 330) of the system control module 310. For one embodiment, at least one of the processor(s) 305 may be packaged together with logic of one or more controllers of the system control module 310 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 305 may be integrated on the same die as logic of one or more controllers of the system control module 310. For one embodiment, at least one of the processor(s) 305 may be integrated on the same die with logic of one or more controllers of the system control module 310 to form a system on chip (SoC).
In various embodiments, the system 300 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 300 may have more or fewer components and/or different architectures. For example, in some embodiments, system 300 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, e.g., using Application Specific Integrated Circuits (ASIC), a general purpose computer or any other similar hardware device. In one embodiment, the software program of the present application may be executed by a processor to perform the steps or functions 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 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 application as described above.
It will be evident to those skilled in the art that the 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 (10)
1. A method of obtaining recommended heat information for a recommended book, wherein the method comprises:
acquiring the number of presented books in a corresponding presentation area of a display device of user equipment corresponding to a reading user in a corresponding reading application, if the number of presented books of a certain reading user meets a preset condition, determining the reading user as a candidate reading user, and determining a plurality of groups of test users according to the candidate reading user group, wherein the favorite book types of all the test users in the plurality of groups of test users comprise a first book type;
issuing different recommended book packages to each group of test users in the multiple groups of test users, wherein the book type of all recommended books in each recommended book package comprises a first book type, and each recommended book package comprises at least one variable recommended book and a corresponding fixed recommended book;
acquiring access operations of each test user on each variable recommended book and the fixed recommended book, and quantitatively determining variable quantitative access operations corresponding to the variable recommended books and the fixed quantitative access operations of the fixed recommended books in each group of test users by the access operations of each group of test users; determining recommended heat information of the recommended books corresponding to each variable according to variable quantitative access operations, fixed quantitative access operations and recommended heat information of the fixed recommended books of each group of test users, wherein the recommended heat information of the recommended books of each variable is determined by multiplying an average value of the recommended heat information of the recommended books corresponding to the fixed recommended books by the variable quantitative access operations and the fixed quantitative access operations;
and acquiring recommendation ordering information of the variable recommended books according to the recommendation heat information of the variable recommended books.
2. The method of claim 1, wherein the preset conditions include at least any one of:
the number of the presented books of the reading user is larger than or equal to a preset book number threshold;
the number of presented books of the reading user is larger than or equal to the number of recommended books of the recommended book package;
the number of presented books of the reading user is the same.
3. The method of any of claims 1 or 2, wherein the recommended books corresponding to the recommended book packages for each of the plurality of test users are the same.
4. The method of claim 3, wherein each of the recommended books comprises a variable recommended book and a corresponding fixed recommended book, each recommended book comprises the same fixed recommended book, and the variable recommended books in each recommended book are different from the variable recommended books in other recommended books.
5. The method of claim 1, wherein the method further comprises:
determining N variable recommended books with the top ranking according to the recommended ranking information of the variable recommended books, and retesting and calculating the accumulated recommended heat information of the N variable recommended books according to the N variable recommended books and the plurality of groups of test users, wherein N is a positive integer greater than or equal to 2;
and updating the recommended heat information of the N variable recommended books according to the variable recommended books of the N variable recommended books and the accumulated recommended heat information.
6. The method of claim 5, wherein the variable recommended books in the recommended book package for each group of test users in the retest are different from the variable recommended books in the recommended book package for the previous test of the group of test users.
7. The method of claim 1, wherein the method further comprises:
recommending at least one of the variable recommended books meeting preset recommendation conditions to the corresponding reading user according to the recommended heat information of the recommended books of the variables and the favorite book types of the corresponding reading user in the reading application, wherein the favorite book types of the corresponding reading user comprise a first book type.
8. The method of claim 7, wherein the preset recommended condition includes at least any one of:
the recommended heat information of the variable recommended books is larger than or equal to the average recommended heat information of the corresponding reading users;
and the recommended heat information of the variable recommended books is in a reading heat interval corresponding to the reading user.
9. An apparatus for acquiring recommended heat information of a recommended book, wherein the apparatus comprises:
a processor; and
a memory arranged to store computer executable instructions which, when executed, cause the processor to operate in accordance with the method of any one of claims 1 to 8.
10. 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010461842.2A CN111666252B (en) | 2020-05-27 | 2020-05-27 | Method and equipment for acquiring recommended heat information of recommended books |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010461842.2A CN111666252B (en) | 2020-05-27 | 2020-05-27 | Method and equipment for acquiring recommended heat information of recommended books |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111666252A CN111666252A (en) | 2020-09-15 |
| CN111666252B true CN111666252B (en) | 2023-09-15 |
Family
ID=72384881
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010461842.2A Active CN111666252B (en) | 2020-05-27 | 2020-05-27 | Method and equipment for acquiring recommended heat information of recommended books |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111666252B (en) |
Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101398839A (en) * | 2008-10-23 | 2009-04-01 | 浙江大学 | Personalized push method for vocal web page news |
| CN101901450A (en) * | 2010-07-14 | 2010-12-01 | 中兴通讯股份有限公司 | Media content recommendation method and media content recommendation system |
| CN103176982A (en) * | 2011-12-20 | 2013-06-26 | 中国移动通信集团浙江有限公司 | Recommending method and recommending system of electronic book |
| CN103927673A (en) * | 2014-03-24 | 2014-07-16 | 腾讯科技（深圳）有限公司 | Method and device for recommending service information |
| CN104503975A (en) * | 2014-11-20 | 2015-04-08 | 百度在线网络技术（北京）有限公司 | Method and device for customizing recommended card |
| CN106611050A (en) * | 2016-12-22 | 2017-05-03 | 掌阅科技股份有限公司 | Electronic book recommendation method and device, and server |
| CN106657581A (en) * | 2016-09-30 | 2017-05-10 | 深圳市天朗时代科技有限公司 | Electronic book reading plan recommendation system, method thereof, terminal and server |
| CN107943871A (en) * | 2017-11-10 | 2018-04-20 | 深圳市华阅文化传媒有限公司 | Recommended user reads the method and device of the books of hobby |
| CN109684554A (en) * | 2018-12-26 | 2019-04-26 | 腾讯科技（深圳）有限公司 | The determination method and news push method of the potential user of news |
| CN110096197A (en) * | 2019-05-06 | 2019-08-06 | 掌阅科技股份有限公司 | A kind of reading method of e-book, electronic equipment and computer storage medium |
| CN110502298A (en) * | 2019-08-12 | 2019-11-26 | 南京大众书网图书文化有限公司 | It is a kind of for providing the method and apparatus of the update notifying information of e-book |
| CN110717030A (en) * | 2019-09-12 | 2020-01-21 | 上海连尚网络科技有限公司 | Method and equipment for presenting detail pages of electronic books |
| CN110851583A (en) * | 2019-10-28 | 2020-02-28 | 上海连尚网络科技有限公司 | Novel recommendation method and device |
| CN110851710A (en) * | 2019-10-28 | 2020-02-28 | 上海连尚网络科技有限公司 | Novel recommendation method and device |
| CN110851712A (en) * | 2019-10-31 | 2020-02-28 | 上海连尚网络科技有限公司 | Book information recommendation method and device and computer readable medium |
| CN110852794A (en) * | 2019-10-28 | 2020-02-28 | 上海连尚网络科技有限公司 | Novel recommendation method and device |
| CN110889039A (en) * | 2019-11-20 | 2020-03-17 | 上海连尚网络科技有限公司 | Method and equipment for pushing books in reading application |
| CN111008327A (en) * | 2019-11-08 | 2020-04-14 | 上海连尚网络科技有限公司 | Method and equipment for pushing books in reading application |
| CN111046164A (en) * | 2019-11-20 | 2020-04-21 | 上海连尚网络科技有限公司 | Method and equipment for updating book to be read |
| CN111104507A (en) * | 2019-11-08 | 2020-05-05 | 上海连尚网络科技有限公司 | Method and equipment for providing associated book information |
| CN111159536A (en) * | 2019-12-06 | 2020-05-15 | 上海连尚网络科技有限公司 | Method and equipment for pushing presentation information in reading application |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140122360A1 (en) * | 2012-10-26 | 2014-05-01 | Zlemma, Inc. | Scoring model methods and apparatus |
| US10032208B2 (en) * | 2015-12-15 | 2018-07-24 | International Business Machines Corporation | Identifying recommended electronic books with detailed comparisons |
| KR101678521B1 (en) * | 2016-06-07 | 2016-11-22 | 주식회사 미래엔 | Service providing apparatus and method for recommending book |
-
2020
- 2020-05-27 CN CN202010461842.2A patent/CN111666252B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101398839A (en) * | 2008-10-23 | 2009-04-01 | 浙江大学 | Personalized push method for vocal web page news |
| CN101901450A (en) * | 2010-07-14 | 2010-12-01 | 中兴通讯股份有限公司 | Media content recommendation method and media content recommendation system |
| CN103176982A (en) * | 2011-12-20 | 2013-06-26 | 中国移动通信集团浙江有限公司 | Recommending method and recommending system of electronic book |
| CN103927673A (en) * | 2014-03-24 | 2014-07-16 | 腾讯科技（深圳）有限公司 | Method and device for recommending service information |
| CN104503975A (en) * | 2014-11-20 | 2015-04-08 | 百度在线网络技术（北京）有限公司 | Method and device for customizing recommended card |
| CN106657581A (en) * | 2016-09-30 | 2017-05-10 | 深圳市天朗时代科技有限公司 | Electronic book reading plan recommendation system, method thereof, terminal and server |
| CN106611050A (en) * | 2016-12-22 | 2017-05-03 | 掌阅科技股份有限公司 | Electronic book recommendation method and device, and server |
| CN107943871A (en) * | 2017-11-10 | 2018-04-20 | 深圳市华阅文化传媒有限公司 | Recommended user reads the method and device of the books of hobby |
| CN109684554A (en) * | 2018-12-26 | 2019-04-26 | 腾讯科技（深圳）有限公司 | The determination method and news push method of the potential user of news |
| CN110096197A (en) * | 2019-05-06 | 2019-08-06 | 掌阅科技股份有限公司 | A kind of reading method of e-book, electronic equipment and computer storage medium |
| CN110502298A (en) * | 2019-08-12 | 2019-11-26 | 南京大众书网图书文化有限公司 | It is a kind of for providing the method and apparatus of the update notifying information of e-book |
| CN110717030A (en) * | 2019-09-12 | 2020-01-21 | 上海连尚网络科技有限公司 | Method and equipment for presenting detail pages of electronic books |
| CN110851583A (en) * | 2019-10-28 | 2020-02-28 | 上海连尚网络科技有限公司 | Novel recommendation method and device |
| CN110851710A (en) * | 2019-10-28 | 2020-02-28 | 上海连尚网络科技有限公司 | Novel recommendation method and device |
| CN110852794A (en) * | 2019-10-28 | 2020-02-28 | 上海连尚网络科技有限公司 | Novel recommendation method and device |
| CN110851712A (en) * | 2019-10-31 | 2020-02-28 | 上海连尚网络科技有限公司 | Book information recommendation method and device and computer readable medium |
| CN111008327A (en) * | 2019-11-08 | 2020-04-14 | 上海连尚网络科技有限公司 | Method and equipment for pushing books in reading application |
| CN111104507A (en) * | 2019-11-08 | 2020-05-05 | 上海连尚网络科技有限公司 | Method and equipment for providing associated book information |
| CN110889039A (en) * | 2019-11-20 | 2020-03-17 | 上海连尚网络科技有限公司 | Method and equipment for pushing books in reading application |
| CN111046164A (en) * | 2019-11-20 | 2020-04-21 | 上海连尚网络科技有限公司 | Method and equipment for updating book to be read |
| CN111159536A (en) * | 2019-12-06 | 2020-05-15 | 上海连尚网络科技有限公司 | Method and equipment for pushing presentation information in reading application |
Non-Patent Citations (4)
| Title |
|---|
| Fuli Zhang.A Personalized Time-Sequence-Based Book Recommendation Algorithm for Digital Libraries.《 IEEE Access 》.2016,2714-2720. * |
| P Devika等.A novel approach for book recommendation systems.《2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)》.2017,1-6. * |
| 张祎萍.基于聚类分析的热点图书排序推荐方法研究.《中国优秀硕士学位论文全文数据库 信息科技辑》.2018,第2018年卷(第3期),I138-2121. * |
| 毛爱英.基于信息推荐的高校数字图书馆系统的设计与实现.《中国优秀硕士学位论文全文数据库 信息科技辑》.2018,第2018年卷(第6期),I143-19. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111666252A (en) | 2020-09-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110889039B (en) | Method and device for pushing books in reading application | |
| CN111104507B (en) | Method and device for providing associated book information | |
| CN111930277B (en) | Method and equipment for providing presence information | |
| CN111159537A (en) | Method and equipment for pushing presentation information in reading application | |
| CN110827061A (en) | Method and equipment for providing presentation information in novel reading process | |
| CN111159536A (en) | Method and equipment for pushing presentation information in reading application | |
| CN110516414B (en) | Method and equipment for accessing novel payment chapters | |
| CN109657153B (en) | Method and equipment for determining associated financial information of user | |
| CN110781269B (en) | Method and equipment for searching books in reading application | |
| CN111008327B (en) | Method and device for pushing books in reading application | |
| CN112306606A (en) | Method and equipment for presenting control style | |
| CN111666252B (en) | Method and equipment for acquiring recommended heat information of recommended books | |
| CN111666195A (en) | Method and apparatus for providing video information or image information | |
| CN112069116A (en) | Method and equipment for generating reading page configuration information | |
| CN111079039B (en) | Method and equipment for collecting books | |
| CN111177062B (en) | Method and device for providing reading presentation information | |
| CN111680250B (en) | Method and equipment for recalling presentation information | |
| CN112787831B (en) | Method and device for splitting conference group | |
| CN111506233B (en) | Method and equipment for providing book information in reading application | |
| CN111930667A (en) | Method and device for book recommendation in reading application | |
| CN113722592A (en) | Method and equipment for presenting target presentation promotion information | |
| CN112948142A (en) | Method, apparatus, medium, and program product for determining target feedback information | |
| CN111078654A (en) | Method and equipment for sharing information | |
| CN111666250A (en) | Method and equipment for processing book update prompting request information in reading application | |
| CN110866109B (en) | Method and equipment for collecting books |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |