WO2019184583A1 - 基于电子书的活动内容推送方法及电子设备 - Google Patents

基于电子书的活动内容推送方法及电子设备 Download PDF

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Publication number
WO2019184583A1
WO2019184583A1 PCT/CN2019/073494 CN2019073494W WO2019184583A1 WO 2019184583 A1 WO2019184583 A1 WO 2019184583A1 CN 2019073494 W CN2019073494 W CN 2019073494W WO 2019184583 A1 WO2019184583 A1 WO 2019184583A1
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information
user
activity
reading
page
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PCT/CN2019/073494
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English (en)
French (fr)
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王海璐
孙上斌
周鸿�
李熙伟
冯东旭
张海林
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掌阅科技股份有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions

Definitions

  • the present disclosure relates to the field of computers, and in particular, to an active content push method and an electronic device based on an e-book.
  • e-books have become more and more popular.
  • the APP usually pushes the content of the promotional activity information such as an e-book to the reading user, so that more e-books are promoted and purchased, and the user is prompted to read more books and Develop a good habit of reading.
  • the present disclosure has been made in order to provide an e-book-based active content pushing method and electronic device that overcomes the above problems or at least partially solves the above problems.
  • an active content pushing method based on an e-book including:
  • the user feature information includes: consumer demand information determined according to a reading behavior of the reading user; and the activity pushing policy is used to determine a correspondence between the consumer demand information and the activity configuration information.
  • an electronic device includes: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface complete communication with each other through a communication bus; the memory is configured to store at least one Executable instructions that cause the processor to:
  • the user feature information includes: consumer demand information determined according to a reading behavior of the reading user; and the activity pushing policy is used to determine a correspondence between the consumer demand information and the activity configuration information.
  • a non-transitory computer readable storage medium having stored therein at least one executable instruction that causes a processor to perform the following operations Receiving an active page configuration request sent by the page display server, obtaining user feature information corresponding to the reading user from the user feature database, and obtaining activity configuration information from the activity configuration library;
  • the user feature information includes: consumer demand information determined according to a reading behavior of the reading user; and the activity pushing policy is used to determine a correspondence between the consumer demand information and the activity configuration information.
  • a computer program product comprising a computing program stored on the non-transitory computer readable storage medium described above.
  • the user profile information corresponding to the reading user is obtained from the user feature database by receiving the active page configuration request sent by the page display server; Obtaining activity configuration information in the library, and determining active content that matches the user characteristic information included in the activity configuration information according to the preset activity pushing policy; thereby transmitting the determined activity content to the page display server in response to the activity page configuration request So that the page display server configures the active content into the active page and delivers the active page to the client.
  • the active content can be pushed in a targeted manner for different user feature information of different reading users, which is more user-friendly and improves the user experience. At the same time, it also increases the conversion rate of push activities, and encourages readers to consume more, recharge and read more books, and develop good reading habits.
  • FIG. 1 is a flowchart of an e-book-based active content pushing method according to Embodiment 1 of the present disclosure
  • FIG. 2 is a flowchart of an e-book-based active content pushing method according to Embodiment 2 of the present disclosure
  • FIG. 3 is a schematic diagram of a network architecture used in Embodiment 2 of the present disclosure.
  • FIG. 4 is a schematic structural diagram of an electronic device according to Embodiment 4 of the present disclosure.
  • FIG. 1 is a flowchart of an e-book-based active content pushing method according to Embodiment 1 of the present disclosure. As shown in Figure 1, the method includes the following steps:
  • Step S110 Receive an active page configuration request sent by the page display server, obtain user feature information corresponding to the read user from the user feature database, and obtain activity configuration information from the activity configuration database, where the user feature information includes according to the reading user.
  • the reading behavior determines the consumer demand information.
  • the active page configuration request may be sent by the page display server, where the active page configuration request is used to configure the active page, so as to be The configured active page is delivered to the client.
  • the preset activity push state can be flexibly set by a person skilled in the art, for example, it can be set to the reading state when the user opens the reading APP for the first time or the reading state when the user reads the time on the APP for more than the preset duration.
  • the user feature database is used to store user feature information, and the user feature information includes, but is not limited to, at least one of the following: the consumer demand information determined according to the reading behavior of the reading user, the account balance information of the reading user, and the consumption demand information and The result of the comparison between the account balance information.
  • the user characteristic information may further include at least one of reading the user's activity information and user rating information.
  • the user characteristic information may be obtained according to a user's log, a behavior sequence, or the like. For example, the user opens a reading application on the client, and then a series of behavior sequences such as purchasing or reading an e-book occurs in the reading application, according to the above behavior sequence and the user's log.
  • the user feature information in the user feature database can be updated in real time.
  • the active configuration repository can be used to store activity configuration information.
  • the activity configuration information may refer to specific configuration information of various activities to be pushed, that is, specific content of various activities to be pushed, such as specific A-yuan minus B-element information for the full-decrement activity set for the user's consumption demand. Among them, A indicates the consumption position, B indicates the discount amount; or the specific refill position information and the discount amount information that can participate in the discount in the recharge offer.
  • the above activity configuration information can be used to set the specific form, content and distribution form of the push activity.
  • Step S120 Determine, according to the preset activity push policy, the activity content that is included in the activity configuration information that matches the user feature information, where the activity push policy is used to determine the correspondence between the consumer demand information and the activity configuration information.
  • the activity push policy is used to determine the correspondence between the consumption demand information and the activity configuration information.
  • the preset activity push policy may be: reading the user's account balance information according to the user feature information, and the consumer demand information and the account. The type of user determined by the comparison result between the balance information, and the push policy for pushing the activity information in a targeted manner.
  • the specific push policy may be flexibly determined by a person in the field. For example, if the consumer demand information is greater than the account balance information, the corresponding information type may be determined as a recharge type; if the consumer demand information is less than the account balance information, Determine the corresponding information type as the consumption type. In addition, the corresponding information type may be set for the case where the consumer demand information and the account balance information are equal.
  • the consumption type is further divided into a plurality of subtypes according to the numerical interval to which the difference between the two belongs, such as a strong consumption type, a middle consumption type, a weak consumption type, and the like. And further set the information content corresponding to each subtype separately. For example, for users with strong consumption types, push more preferential information. Similarly, the recharge type can be divided into multiple subtypes to better adapt to the needs of different users.
  • the information type of the push information matching the comparison result is the consumption type, for example, the full reduction activity information, the coupon activity information, and the like may be pushed; when the information type of the push information matching the comparison result is determined to be the recharge value Types, such as recharge offer information can be pushed.
  • the preset activity push policy may further determine the active content that matches the user feature information in combination with at least one of the activity information and the user level information of the reading user.
  • the preset active push policy may further include: a push frequency class policy, a mutual exclusion class policy, a priority policy, and a probability ratio policy.
  • the policy may be pushed according to the preset activity, and according to the user feature information acquired in step S110, the activity content included in the activity configuration information that matches the user feature information is determined.
  • the active content matched with the user feature information included in the activity configuration information can be determined in a targeted manner according to different user characteristics of different users, thereby being more user-friendly and improving the user experience.
  • Step S130 Send the determined active content to the page display server in response to the active page configuration request, so that the page display server configures the active content into the active page, and delivers the active page to the client.
  • the active content determined in step S120 is sent to the page display server, and then the page display server can use the PHP language to embed the information of the active content into the H5 page in the form of code.
  • the activity page is configured to configure the activity content determined above into the activity page, and the activity page is sent to the client, and the reading user can obtain various activity information pushed to the activity page according to the activity page.
  • the page display server configures the active content into the active page, the active content may be configured into various resource bits in the active page, where the resource bits may include: a floating window, a pop-up window, a pendant, and the like.
  • the present disclosure does not limit the specific manner in which active content is configured into various resource bits in an active page.
  • the user profile information corresponding to the reading user is obtained from the user feature database by receiving the active page configuration request sent by the page display server; and from the activity configuration library Obtaining the activity configuration information, and determining, according to the preset activity push policy, the activity content that is included in the activity configuration information that matches the user feature information; thereby responding to the activity page configuration request, sending the determined activity content to the page display server, Enables the page display server to configure the active content into the active page and deliver the active page to the client.
  • the active content can be pushed in a targeted manner for different user feature information of different reading users, which is more user-friendly and improves the user experience.
  • it also increases the conversion rate of push activities, and encourages readers to consume more, recharge and read more books, and develop good reading habits.
  • FIG. 2 is a flowchart of an e-book-based active content pushing method provided by Embodiment 2 of the present disclosure. As shown in FIG. 2, the method includes the following steps S210 to S240.
  • FIG. 3 shows a schematic diagram of a network architecture used in the second embodiment of the present disclosure.
  • the execution subject in the following steps may be the data center server 37 shown in FIG.
  • the network architecture includes: an activity configuration library 31, a user feature library 32, a history distribution activity library 33, a client terminal 34, a page display server 35, a configuration server 36, and a data center server 37.
  • Step S210 Receive an active page configuration request sent by the page display server, obtain user feature information corresponding to the read user from the user feature library 32, and obtain activity configuration information from the activity configuration database.
  • the client 34 may request the page displaying server 35 to configure the activity page, and the page display server 35 receives the message.
  • an active page configuration request is sent to the data center server 37.
  • the data center server 37 can then receive the active page configuration request sent by the page display server 35, obtain the user feature information corresponding to the read user from the user feature library 32, and obtain the activity configuration information from the activity configuration library.
  • the user feature database 32 is configured to store user feature information, and the user feature information may include: reading account balance information of the user, and comparing results between the consumer demand information and the account balance information.
  • the user characteristic information may further include at least one of reading the user's activity information and user rating information.
  • the consumption requirement information included in the user feature information is directly related to the result division of the user type and the accuracy of the activity push. Therefore, the embodiment proposes a specific method for determining the consumer demand information, for the compactness of the description. At the end of this embodiment, the method of determining the consumer demand information will be described in detail, and will not be described here.
  • the activity configuration database is used to store the activity configuration information, and the activity configuration information may refer to specific configuration information of various activities that are pushed, for example, the information about the welfare card activity may be N yuan sent by the M element, wherein M indicates Recharge the gear, N indicates the credit amount information.
  • the activity configuration information is each booklet information in the content, such as the book list information configured in the bookstore free channel. The above activity configuration information can be used to set the specific form, content and distribution form of the push activity.
  • a configuration server 36 dedicated to performing the configuration operation is further provided, and the configuration server 36 can be used to set the activity configuration information.
  • the configured active configuration information is sent to the data center server 37 in real time, so that the data center server 37 can obtain the active configuration information set by the configuration server 36 in time.
  • the obtained activity configuration information set in the configuration server 36 is cached in the activity configuration library, so that the data center server 37 can obtain the updated content directly from the activity configuration library.
  • the activity configuration information avoids the problem of inefficiency and acquisition delay caused by obtaining the active configuration information from the configuration server 36 every time the page configuration request is received.
  • the data center server 37 caches the active configuration information acquired from the configuration server 36 in the local active configuration repository, so that the activity configuration information can be directly obtained from the active configuration repository after receiving the page configuration request each time. , which increases the rate at which activity configuration information is obtained.
  • Step S220 Determine, according to the preset activity push policy, the activity content included in the activity configuration information that matches the user feature information.
  • the data center server 37 may obtain the activity configuration information in the activity configuration database 31 and determine the activity configuration information according to the preset activity push policy.
  • the active content included in the user characteristic information can be customized according to the user's consumption demand information and other user characteristic information, so that each user receives the customized push information. It has achieved the technical effect of thousands of people.
  • the activity push strategy includes: when the consumer demand information is greater than the account balance information, determining that the type of the active content that matches the user feature information is a refill type; and when the consumer demand information is not greater than the account balance information, determining the user feature information
  • the type of matching active content is the type of consumption. Specifically, when the consumption demand information is greater than the account balance information, it indicates that the account balance of the user is insufficient, and therefore, determining that the information type of the push information that matches the comparison result is a recharge type; when the consumption demand information is not greater than the account balance information, It indicates that the account balance of the user is sufficient, and therefore, the information type of the push information that matches the comparison result is determined to be the consumption type.
  • the embodiment is described by taking only the recharge type and the consumption type as an example, the present disclosure is not limited thereto, and the information type may be further refined into more subtypes.
  • the user when it is determined that the type of the active content that matches the user feature information is a consumption type, when the active content matching the user feature information included in the activity configuration information is pushed to the reading user, the user may be pushed according to the consumer demand. At least one of the full reduction activity information and the offer activity information determined by the information. The above promotions can be pushed in the form of coupons, vouchers, free time-limited, and discounted.
  • the type of the active content matching the user characteristic information is a refill type
  • the reading user when it is determined that the type of the active content matching the user characteristic information is a refill type, when the active content matching the user characteristic information included in the activity configuration information is pushed to the reading user, the reading user may be pushed to recharge according to the history of the reading user.
  • At least one of the information and the consumer demand information determines the recharge activity information; wherein the reading user's historical recharge information includes at least one of the following information: reading the recharge gear information corresponding to the user's last recharge behavior and reading the user during the historical period
  • the refill position information corresponding to the highest recharge behavior of the internal recharge frequency.
  • the refill position corresponding to the recharge behavior of the user's last recharge behavior and the recharge function corresponding to the recharge function of the highest recharge frequency of the reading user during the historical period may be pushed to the user.
  • At least one of the refill activity information that is slightly higher (eg, one or two gears higher, or higher than half gear, etc.), thereby causing the reading user to recharge more.
  • the recharge amount in the pushed recharge activity information may be flexibly determined according to the user's consumption demand information, for example, the recharge amount in the recharge activity information may be determined as the user's consumption demand.
  • the amount of the amount equal to the amount; or the amount of the recharge in the recharge activity information is determined to be a value slightly higher than the amount of the user's consumption demand, so as to encourage the reading user to recharge more.
  • the activity pushing policy may further include: determining, according to at least one of the activity information and the user level information of the reading user, the active content that matches the user feature information.
  • the activity information may be determined according to at least one of an APP start date, a cumulative read duration, and a cumulative read count. For example, for the number of days that the APP starts, the reading user who has started the APP for more than 20 days in the past month can be determined as a highly active user, and the user who starts the APP in the past month within the range of 10 days to 20 days is determined to be the active user.
  • the user who started the APP in the past month within the range of 1 to 10 days is determined to be a low active user, and the user who has not started the APP in the past month is determined to be a lost user.
  • it can also be determined by combining the cumulative reading duration and the cumulative reading times. For example, it can be specified that the accumulated reading duration exceeds a certain predetermined reading duration and the cumulative reading times exceeds a certain pre-predetermined time.
  • the reading user of the reading frequency is determined to be a highly active user, and the preset reading duration range and the cumulative reading number range corresponding to the remaining active users and low active users can also be specifically set by a person skilled in the art according to the method.
  • the user level information may be determined according to at least one of a user registration duration and a user recharge record.
  • the first recharge activity information and the welfare card information can be preferentially pushed, and the type of the push information can be specifically set according to the user's recharge habit according to the user's recharge record.
  • the preferential strength of the pushed information can be changed by changing the proportion of various push information.
  • the preferential strength of the push information may be appropriately increased as the reading user activity is lowered, thereby increasing the enthusiasm of the user to perform more activities such as recharging and consumption.
  • the reading user of the high school activity can set the proportion of the discount information in the push information to 40%, and the proportion of the full price information.
  • the welfare card information ratio is set to 20%; for low-activity reading users, you can set the percentage of discount information in push information to 20%, the proportion of full-price information to 10%, free
  • the proportion of information is set to 20%, the ratio of first-time recharge activity information and welfare card is set to 40%; for the lost user, the ratio of the total information of the push information can be set to 40%, and the proportion of free information is Set to 30%, the proportion of the first recharge offer information is set to 20%, and the percentage of discount information is set to 10%.
  • the total incentive of the push information is increased by changing the proportion of various push information to increase the enthusiasm of the user, so that more recharge and consumption can be performed.
  • the push information with a relatively large preferential power may be pushed to the user with a lower level to prompt the user to perform recharge and consumption to improve the user level, and the user with a higher level may be appropriately selected.
  • the method of determining the activity information according to the reading user can be specifically referred to.
  • the activity push policy may further include: a push frequency class policy, a mutual exclusion class policy, a priority policy, and a probability ratio strategy.
  • the above push frequency policy may be set to a policy in which the message push frequency control is unchanged or other types of policies, such as one push per activity per day, or one push per day.
  • the principle of mutual exclusion refers to the principle that a specific activity is not pushed at the same time as the activity that is mutually exclusive. For example, since the audience-restricted activity is exclusive to other activities, it is recommended not to limit the event to the same user. Push with other types of events.
  • the priority principle is to preferentially push the priority push activity information that matches the user type for different user types.
  • the probability ratio ratio strategy refers to a ratio or probability of occurrence of various types of push information determined according to a difference between the consumption demand information and the account balance information when the push information corresponding to the information type is plural.
  • Step S230 Send the determined active content to the page display server in response to the active page configuration request.
  • the data center server 37 responds to the active page configuration request sent by the page display server 35, and transmits the determined active content pushed to the reading user to the page display server 35. Further, after the determined active content is transmitted to the page display server 35, the determined active content may be stored as a historical distribution record corresponding to the reading user in the preset history distribution activity library 33.
  • the data center server 37 can acquire the historical distribution record of the user stored in the historical distribution activity library 33 at any time by storing the determined activity content as a history distribution record corresponding to the reading user in the preset history distribution activity library 33. Therefore, it is possible to combine the above historical distribution record to determine the activity information pushed to the user more quickly and more aptly.
  • the page display server 35 further determines whether the active content matches the configuration content corresponding to the page resource bit included in the activity page, and if yes, continues the following steps. S240.
  • the configuration content is determined by the page display server 35 according to the page resource bit configuration information stored in the configuration server 36.
  • the page resource bit configuration information may be directly sent by the configuration server 36 to the page display server 35, for example, when the page resource bit configuration information is updated, sent by the configuration server 36 to the page display server 35, or at the page display server.
  • the active page configuration request is initiated, it is sent by the configuration server 36 to the page display server 35.
  • the page resource bit configuration information may be sent to the data center server 37 by the configuration server 36 along with the activity configuration information, and stored in the activity configuration library 31.
  • the data center server 37 responds to the active page configuration request of the page display server 35
  • the stored page resource bit configuration information is sent to the page display server 35 along with the active content.
  • the above page resource bits include, but are not limited to, at least one of the following types: a pop-up window, a pendant, and a floating window; and the page resource bit configuration information is used to store various types of page resource bits that may be included in the active page.
  • the configuration content wherein the configuration content corresponding to each type of page resource bit is used to determine the type of active content that the type of page resource bit can configure.
  • the pop-up window can be used to pop up information of various types of activities, such as information on the activity of returning and subtracting activities, and receiving the type of coupons.
  • the configuration content corresponding to the page resource bits of the pop-up type includes various types. Type of active content.
  • the configuration content of the page resource bits of the floating window and the pendant may be discount information such as coupons, welfare cards, and full coupons. In the specific implementation, it can be realized as follows:
  • the type and number of resource bits corresponding to the current interface may be first determined according to the interface type of the current interface (ie, the active page). For example, when the user opens the APP for the first time, the pop-up window, floating window, pendant, and the like may appear on the homepage interface; in the process of reading the user reading the book, the resource position of the reading user is not suitable in the book page (for example, Pop-ups, therefore, can be pushed through resource bits (such as pendants) that do not affect reading the user's reading of the book.
  • the active content pushed by the page display server 35 it is further determined whether the active content matches the configuration content corresponding to the page resource bit included in the active page. If they match, the following step S240 may be performed.
  • the configuration content of the page resource bit determined by the page display server 35 is The coupon corresponding to the pendant can determine that the active content matches the configuration content corresponding to the page resource bit included in the activity page; on the contrary, if the configuration content of the page resource bit determined by the page display server 35 at this time is a bullet If the window corresponds to the discount information, it can be determined that the active content does not match the configuration content corresponding to the page resource bit included in the activity page.
  • Step S240 The page display server configures the active content into the active page, and delivers the active page to the client.
  • step S230 If it is determined in step S230 that the active content matches the configuration content corresponding to the page resource bit included in the activity page, the page display server 35 may configure the active content to the various resource bits in the active page. And the above activity page is sent to the client 34 to display the reading user.
  • At least the historical distribution records of the entire network read user recorded in the historical distribution activity library 33 and the historical distribution records corresponding to the reading user may be combined.
  • the at least one of the history distribution record of the web reading user and the historical distribution record corresponding to the reading user determines the active content included in the activity configuration information that matches the user characteristic information.
  • the historical distribution record of the entire network read user recorded in the historical distribution activity library 33 and the feedback type corresponding to the active content included in the historical distribution record and the historical distribution record corresponding to the reading user and the active content included therein may be combined. And determining, by the at least one of the corresponding types of feedback, the active content that is included in the activity configuration information that matches the user feature information; wherein the feedback type includes at least one of a positive feedback type and a negative feedback type.
  • the preset active push policy for the user can be adjusted in time for different user feature information, so that the active content sent to the page display server 35 is adjusted to be delivered to the client.
  • the activity page of 34 is more in line with the needs of users.
  • the user feedback information corresponding to the push information may be determined as Negative feedback type.
  • unconverted may mean not recharged, not consumed, and not received.
  • the user feedback information corresponding to the push information may be determined. Is a positive feedback type.
  • the frequency or content of pushing the information to the user may be maintained or increased to meet the demand for the recharge consumer discount; for the above negative feedback type, the push frequency of the message type of the closed or unclicked user may be reduced. Or reduce the push frequency and content of all push information as a whole, thereby reducing the disturbance to the user. Determining, according to at least one of the positive feedback type and the negative feedback type, the active content that matches the user characteristic information included in the activity configuration information, and adjusting the information content of the pushed information that is subsequently pushed according to the feedback information of the user in time Therefore, the information can be pushed to the user more humanized, and the user experience is improved.
  • Step 1 Obtain an e-book that interacts with the reading user, and determine, for each e-book obtained, an operation time stamp of reading each interaction operation performed by the user for the e-book.
  • each e-book included in the reading history record of the reading user can be used as an e-book that interacts with the reading user.
  • an operation time stamp for reading each interactive operation performed by the user for the e-book is determined.
  • the operation time stamps of each inter-operation are respectively acquired.
  • the operation timestamp refers to the system time corresponding to the execution of the interaction operation. It can be seen that the operation time stamp of each interaction operation can determine the operation sequence of each interaction operation.
  • Step 2 Determine the interaction duration of the reading user for the e-book according to the time interval between two adjacent interaction operations in each interaction operation.
  • the time interval between two adjacent interaction operations in each interaction operation is further determined.
  • two adjacent interaction operations in each interaction operation include two adjacent interaction operations in each interaction operation, that is, each adjacent two interaction operations are considered. Inside.
  • the two adjacent interaction operations in each interaction operation only include several groups of adjacent two interaction operations that meet the preset rule.
  • the inventor has found in the process of implementing the present disclosure that in addition to the instantaneously completed interactive operation, the inventor may also include reading, writing a comment, and the like, which have a long duration operation, and the operation can also reflect the user and the electronic
  • the real interaction process of the book therefore, in order to more accurately reflect the degree of interaction between the user and the e-book, optionally, in this step, when it is determined that each inter-operation includes a preset continuous class operation, further The interaction duration of the reading user for the e-book is determined in conjunction with the duration of the operation corresponding to the preset continuous class operation.
  • the continuous class operation refers to: operations that are completed for a period of time, such as reading operations, writing comment operations, etc., for operations that are completed instantaneously, such as reading operations and writing comment operations. .
  • Step 3 According to the interaction duration of each e-book obtained by the reading user, the deep interactive e-book corresponding to the reading user is filtered from the obtained e-book.
  • the interaction duration is obtained according to the interactive operation of the reading user for the e-book, the depth of interaction between the reading user and the e-book can be reflected. Therefore, the deep interactive e-book corresponding to the reading user can be selected according to the interaction duration.
  • the deep interactive e-book described in this embodiment refers to an e-book in which the index data meets a predetermined threshold in the process of measuring the quantifiable index data.
  • the predetermined threshold may be a pre-order number TOP N (positive integer) sorted according to the interaction duration, and the e-book sorted in the first N is a deep interactive e-book; or, the predetermined threshold may be It is a preset interaction duration, and the e-book that is greater than or equal to the interaction duration is a deep interactive e-book; or, when the quantifiable indicator data is the number of times generated by the specific operation type, the predetermined threshold may be a specifically set number of times M (a positive integer) For example, when the user enters the purchase interface of an e-book twice (but not purchased), it indicates that the user has a certain interest in reading the e-book but hesitates to pay for the purchase, so the e-book can be identified as
  • Step 4 Determine the consumption demand information of the reading user according to the selected depth interactive e-book and the consumption amount of the corresponding deep interactive e-book.
  • the amount of consumption of the deep interactive e-book mainly refers to the amount of the unpaid portion corresponding to the e-book.
  • the entire purchase of an e-book refers to the entire price of the e-book; for an e-book purchased in accordance with the chapter, the price of the unpurchased chapter in the e-book.
  • the consumption demand information of the reading user may be determined according to the sum of the consumption amounts of the respective deep interactive e-books.
  • the consumer demand information poPy can be calculated by the following formula:
  • Price bid is the price of the book in the above list of books, that is, the amount of consumption (exactly, the unpaid part price, or potential consumption space,
  • the price needs to be calculated in conjunction with the user's chapter purchase data, that is, the total price of the remaining unpurchased chapters is calculated.
  • the book's consumption inventory demand the sum of the consumption inventory requirements of all deep interactive e-books, is the total consumption inventory demand corresponding to the reading user, that is, the consumer demand information poPy.
  • the consumer demand information in order to make the finalized consumer demand information more reasonable, it is also possible to further combine at least one piece of information to correct the consumer demand information: the historical daily consumption of the reading user, the average daily consumption of the entire network user, and the number of days of demand conversion. And the default one-day maximum recharge amount.
  • the basis for calculating the consumption demand information poPy is a book of deep interaction.
  • the size of the consumer demand information is determined by the breadth of the user's interest in the book (number of books) and depth (interaction depth).
  • the inventor found in the process of implementing the present disclosure that the user's reading interest does not necessarily match the user's consumption habits. According to statistics, the vast majority of such mismatches are determined by interest greater than the consumption habits.
  • the amount of consumption that is, the user is willing to read a lot of books, but is not willing to spend the corresponding money (poPy).
  • the poPy calculated based on the user's interest is not the actual consumer demand of the user and needs to be corrected. For example, it can be handled according to the following formula:
  • B is the corrected consumption demand information
  • mxPyD1 is the maximum value of the daily consumption amount in the history of the reading user.
  • the significance of the formula is that if the poPy is greater than the maximum value of the daily consumption amount in the history of the reading user, the non-conformity is indicated.
  • the user's consumption habits, therefore, the B value is based on mxPyD1, or combined with mxPyD1 to correct the B value, so that the final consumer demand information is more suitable for the user.
  • 3 is an adjustment coefficient for the number of days, and by setting the size of the adjustment coefficient, the tolerance of the time required for the conversion of the demand inventory can be adjusted.
  • other values such as 2 days or 5 days can also be set.
  • 3.4 is the average daily consumption quota of the users of the whole network.
  • the value needs to be adjusted according to the average daily consumption quota of the users of the whole network obtained in the business scenario.
  • the purpose of taking a larger value between this value and mxPyD1*3 is to adjust the B value to the user's average amount of the whole network when the user's single-day consumption quota is less than the average user's average amount, which can guide the user to increase the consumption quota to a certain extent.
  • the formula may also increase the coefficient of the maximum recharge amount allowed in a single day, and the modified formula is:
  • 100 is the maximum recharge amount allowed in the single day specified in the APP, and the specific value can be flexibly adjusted according to the business scenario. That is, the accumulated recharge amount of a user within one day cannot exceed 100 yuan.
  • the purpose of increasing the coefficient is that when the poPy is greater than 100, the user can only recharge 100 yuan on the same day. Therefore, the poPy greater than 100 has little significance for the subsequent operation and distribution. Therefore, the operation can be finally obtained by taking the minimum value. Consumer demand information is more closely matched to the APP.
  • the user profile information corresponding to the reading user is obtained from the user feature database by receiving the active page configuration request sent by the page display server, and is selected from the activity configuration library.
  • Obtaining the activity configuration information determining the activity content that matches the user feature information included in the activity configuration information according to the preset activity push policy, and sending the determined activity content to the page display server in response to the activity page configuration request, so that
  • the page display server executes: to enable the page display server to configure the active content into the active page; and then further determine whether the active content matches the configuration content corresponding to the page resource bit included in the active page, wherein the configuration content is displayed by the page display server According to the page resource bit configuration information stored in the configuration server, the active content is configured into the activity page, and the activity page is delivered to the client.
  • the activity message can be specifically promoted for the recharge consumption demand in different user feature information of different reading users, which is more user-friendly and improves the user experience. At the same time, it also increases the conversion rate of push activities, and encourages readers to consume more, recharge and read more books, and develop good reading habits.
  • a third embodiment of the present application provides a non-transitory computer readable storage medium storing at least one executable instruction executable in any of the above method embodiments.
  • the executable instructions may specifically be used to cause the processor to perform the following operations:
  • the user feature information includes: consumer demand information determined according to a reading behavior of the reading user; and the activity pushing policy is used to determine a correspondence between the consumer demand information and the activity configuration information.
  • executable instructions further cause the processor to:
  • the determined activity content is stored as a historical distribution record corresponding to the reading user in a preset historical distribution activity library;
  • step of determining the active content that matches the user feature information included in the activity configuration information according to the preset activity pushing policy specifically includes:
  • the active content matching the user characteristic information included in the activity configuration information is determined in conjunction with at least one of a history distribution record of the entire network read user recorded in the history distribution activity library and a history distribution record corresponding to the reading user.
  • the historical distribution activity library further stores a feedback type corresponding to the active content included in each historical distribution record
  • the executable instructions further cause the processor to perform the following operations:
  • Combining the historical distribution record of the entire network reading user recorded in the historical distribution activity library with the feedback type corresponding to the active content included in the historical distribution activity library and the historical distribution record corresponding to the reading user and the feedback type corresponding to the activity content included in the reading user At least one of determining active content included in the activity configuration information that matches the user characteristic information;
  • the feedback type includes at least one of a positive feedback type and a negative feedback type.
  • executable instructions further cause the processor to:
  • the active configuration information set in the obtained configuration server is cached in the active configuration repository.
  • executable instructions further cause the processor to:
  • the page resource bit includes at least one of the following types: a pop-up window, a pendant, and a floating window; and the page resource bit configuration information is used to store various types of page resource bits configured The type of activity content.
  • the user feature information further includes: reading account balance information of the user, and comparing results between the consumer demand information and the account balance information;
  • the activity push policy includes: when the consumer demand information is greater than the account balance information, determining that the type of the active content that matches the user feature information is a recharge type;
  • the type of the active content that matches the user characteristic information is the consumption type.
  • the executable instructions when it is determined that the type of the active content that matches the user feature information is a consumption type, the executable instructions further cause the processor to perform the following operations:
  • the executable instructions When it is determined that the type of the active content that matches the user characteristic information is a refill type, the executable instructions further cause the processor to perform the following operations:
  • the reading user's historical refill information includes at least one of the following information: reading the user's last recharge behavior The refilling gear position information and the refilling gear position information corresponding to the recharge behavior of the user who has the highest recharge frequency during the historical time period.
  • executable instructions further cause the processor to:
  • the user characteristic information further includes: reading at least one of the user's activity information and the user level information;
  • the activity push policy includes: determining the active content that matches the user feature information by combining at least one of the activity information and the user level information of the reading user.
  • executable instructions further cause the processor to:
  • the activity push strategy further includes: a push frequency class policy, a mutual exclusion class policy, a priority policy, and a probability ratio strategy.
  • executable instructions further cause the processor to:
  • the consumer demand information included in the user feature information corresponding to the reading user stored in the user feature database is determined by:
  • the consumption demand information of the reading user is determined according to the selected depth interactive e-book and the consumption amount of the corresponding deep interactive e-book.
  • FIG. 4 is a schematic structural diagram of an electronic device according to Embodiment 4 of the present disclosure, and the specific embodiment of the present disclosure does not limit the specific implementation of the electronic device.
  • the electronic device can be a server.
  • the electronic device can include a processor 402, a communications interface 404, a memory 406, and a communications bus 408.
  • the processor 402, the communication interface 404, and the memory 406 complete communication with each other via the communication bus 408.
  • the communication interface 404 is configured to communicate with network elements of other devices, such as clients or other servers.
  • the processor 402 is configured to execute the program 410, and specifically may perform the related steps in the foregoing embodiment of the e-book based active content pushing method.
  • program 410 can include program code, the program code including computer operating instructions.
  • the processor 402 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present disclosure.
  • the one or more processors included in the electronic device may be the same type of processor, such as one or more CPUs; or may be different types of processors, such as one or more CPUs and one or more ASICs.
  • the memory 406 is configured to store the program 410.
  • Memory 406 may include high speed RAM memory and may also include non-volatile memory, such as at least one disk memory.
  • the program 410 can be specifically configured to cause the processor 402 to perform the following operations:
  • the user feature information includes: consumer demand information determined according to a reading behavior of the reading user; and the activity pushing policy is used to determine a correspondence between the consumer demand information and the activity configuration information.
  • executable instructions cause processor 402 to perform the following operations:
  • the determined activity content is stored as a historical distribution record corresponding to the reading user in a preset historical distribution activity library;
  • step of determining the active content that matches the user feature information included in the activity configuration information according to the preset activity pushing policy specifically includes:
  • the active content matching the user characteristic information included in the activity configuration information is determined in conjunction with at least one of a history distribution record of the entire network read user recorded in the history distribution activity library and a history distribution record corresponding to the reading user.
  • executable instructions cause processor 402 to perform the following operations:
  • the historical distribution activity library further stores the feedback type corresponding to the activity content included in each historical distribution record
  • executable instructions cause processor 402 to perform the following operations:
  • Combining the historical distribution record of the entire network reading user recorded in the historical distribution activity library with the feedback type corresponding to the active content included in the historical distribution activity library and the historical distribution record corresponding to the reading user and the feedback type corresponding to the activity content included in the reading user At least one of determining active content included in the activity configuration information that matches the user characteristic information;
  • the feedback type includes at least one of a positive feedback type and a negative feedback type.
  • executable instructions cause the processor 402 to perform the following operations:
  • the active configuration information set in the obtained configuration server is cached in the active configuration repository.
  • executable instructions cause processor 402 to perform the following operations:
  • executable instructions cause processor 402 to perform the following operations:
  • the page resource bit includes at least one of the following types: popup, pendant, and floating window; and, the page resource bit configuration information is used to store the type of active content configured by various types of page resource bits.
  • executable instructions cause processor 402 to perform the following operations:
  • the user characteristic information further includes: reading account balance information of the user, and comparing results between the consumer demand information and the account balance information;
  • the activity push policy includes: when the consumer demand information is greater than the account balance information, determining that the type of the active content that matches the user feature information is a recharge type;
  • the type of the active content that matches the user characteristic information is the consumption type.
  • executable instructions cause processor 402 to perform the following operations:
  • executable instructions cause processor 402 to perform the following operations:
  • the reading user's historical refill information includes at least one of the following information: reading the user's last recharge behavior The refilling gear position information and the refilling gear position information corresponding to the recharge behavior of the user who has the highest recharge frequency during the historical time period.
  • executable instructions cause processor 402 to perform the following operations:
  • the user characteristic information further includes: reading at least one of the user's activity information and the user level information;
  • the activity push policy includes: determining the active content that matches the user feature information by combining at least one of the activity information and the user level information of the reading user.
  • executable instructions cause processor 402 to perform the following operations:
  • the activity push strategy further includes: a push frequency class policy, a mutual exclusion class policy, a priority policy, and a probability ratio strategy.
  • executable instructions cause processor 402 to perform the following operations:
  • the consumer demand information included in the user feature information corresponding to the reading user stored in the user feature database is determined by:
  • the consumption demand information of the reading user is determined according to the selected depth interactive e-book and the consumption amount of the corresponding deep interactive e-book.
  • modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment.
  • the modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components.
  • any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods or devices so disclosed All processes or units are combined.
  • Each feature disclosed in this specification (including the accompanying claims, the abstract and the drawings) may be replaced by alternative features that provide the same, equivalent or similar purpose.

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Abstract

本公开公开了基于电子书的活动内容推送方法及电子设备，用以针对不同的阅读用户有针对性地推送对应的活动内容。该方法包括：接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面；其中，用户特征信息包括：根据阅读用户的阅读行为确定的消费需求信息；活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。

Description

基于电子书的活动内容推送方法及电子设备
相关申请的交叉参考
本申请要求于2018年3月30日提交中国专利局、申请号为201810295616.4、名称为“基于电子书的活动内容推送方法及电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开涉及计算机领域，具体涉及一种基于电子书的活动内容推送方法及电子设备。
背景技术
目前，随着用户阅读意识的提升，电子书得到了越来越广泛的普及。用户在APP上阅读电子书的时候，APP通常会向阅读用户推送比如电子书的优惠活动信息内容，从而使更多的电子书得到推广并被购买，同时也促使了用户阅读更多的书籍并养成读书的好习惯。
但是，在实现本公开的过程中，发明人发现：目前APP在向阅读用户推送各种活动消息的时候，推送的消息几乎是千篇一律的，并没有针对不同的阅读用户的不同的用户特征信息有针对地推送活动消息，因此对阅读用户造成了困扰并且图书的促销效果也不佳。由此可见，现有技术中缺少一种能够有效解决上述问题的基于电子书的活动内容推送方法及电子设备。
发明内容
鉴于上述问题，提出了本公开以便提供一种克服上述问题或者至少部分地解决上述问题的基于电子书的活动内容推送方法及电子设备。
根据本公开的一个方面，提供了一种基于电子书的活动内容推送方法，包括：
接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；
按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；
响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面；
其中，用户特征信息包括：根据阅读用户的阅读行为确定的消费需求信息；且活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
根据本公开的另一方面，提供了一种电子设备，包括：处理器、存储器、通信接口和通信总线，处理器、存储器和通信接口通过通信总线完成相互间的通信；存储器用于存放至少一可执行指令，可执行指令使处理器执行以下操作：
接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；
按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；
响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面；
其中，用户特征信息包括：根据阅读用户的阅读行为确定的消费需求信息；且活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
根据本公开的又一方面，提供了一种非易失性计算机可读存储介质，该非易失性计算机可读存储介质中存储有至少一可执行指令，可执行指令使处理器执行以下操作：接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；
按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；
响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面；
其中，用户特征信息包括：根据阅读用户的阅读行为确定的消费需求信息；且活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
根据本公开的再一方面，还提供了一种计算机程序产品，该计算机程序产品包括存储在上述非易失性计算机可读存储介质上的计算程序。
在本公开提供的基于电子书的活动内容推送方法及电子设备中，通过接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息；并从活动配置库中获取活动配置信息，并按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；从而响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面。根据该方法，能够针对不同的阅读用户的不同的用户特征信息，有针对地推送活动内容，更加的人性化，提升了用户体验。同时，也提高了推送的活动的转化率，并促使阅读用户更多地消费、充值以及阅读更多的书籍，养成良好的读书习惯。
上述说明仅是本公开技术方案的概述，为了能够更清楚了解本公开的技术手段，而可依照说明书的内容予以实施，并且为了让本公开的上述和其它目的、特征和优点能够更明显易懂，以下特举本公开的具体实施方式。
附图概述
通过阅读下文优选实施方式的详细描述，各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出优选实施方式的目的，而并不认为是对本公开的限制。而且在整个附图中，用相同的参考符号表示相同的部件。在附图中：
图1示出了本公开实施例一提供的基于电子书的活动内容推送方法的流程图；
图2示出了本公开实施例二提供的基于电子书的活动内容推送方法的流程图；
图3示出了本公开实施二中采用的一种网络架构示意图；
图4示出了根据本公开实施例四的一种电子设备的结构示意图。
本公开的较佳实施方式
下面将参照附图更详细地描述本公开的示例性实施例。虽然附图中显示了本公开的示例性实施例，然而应当理解，可以以各种形式实现本公开而不应被这里阐述的实施例所限制。相反，提供这些实施例是为了能够更透彻地理解本公开，并且能够将本公开的范围完整的传达给本领域的技术人员。
实施例一
图1示出了本公开实施例一提供的基于电子书的活动内容推送方法的流程图。如图1所示，该方法包括以下步骤：
步骤S110：接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息，其中，用户特征信息包括根据阅读用户的阅读行为确定的消费需求信息。
具体地，每当检测到客户端当前的阅读状态符合预设的活动推送状态时，可以由页面展示服务器发送活动页面配置请求，该活动页面配置请求用于配置活动页面，以便在后续步骤中将配置好的活动页面下发给客户端。上述预设的活动推送状态可以由本领域技术人员灵活设定，比如可以设定为用户首次打开阅读APP时的阅读状态或者为用户在APP上阅读时长超过预设时长时的阅读状态。在接收到页面展示服务器发送的活动页面配置请求后，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取其存储的活动配置信息。
其中，用户特征库用于存储用户特征信息，上述用户特征信息包括但不限于以下中的至少一个：根据阅读用户的阅读行为确定的消费需求信息，阅读用户的账户余额信息、以及消费需求信息与账户余额信息之间的比较结果。上述用户特征信息还可以包括阅读用户的活跃度信息和用户等级信息中的至少一个。上述用户特征信息可以根据用户的日志，行为序列等获取，比如用户打开客户端上的阅读App，然后在该阅读App发生购买或者阅读电子书等一系列行为序列，根据上述行为序列以及用户的日志能够实时地更新用户特征库中的用户特征信息。
另外，活动配置库可以用于存储活动配置信息。上述活动配置信息可以指推送的各种活动的具体的配置信息，即推送的各种活动的具体内容，比如为针对用户消费需求设置的满减活动的具体的满A元减B元的信息，其中，A表示消费档位，B表示优惠额度；或者为充值优惠活动中能够参与优惠的具体的充值档位信息以及优惠额度信息等。上述活动配置信息可以用来设定推送活动的具体形式、内容以及分发形态。
步骤S120：按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容，其中，活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
其中，活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系，具体地，预设的活动推送策略可以为根据用户特征信息中阅读用户的账户余额信息、以及消费需求信息与账户余额信息之间的比较结果所确定的用户类型，有针对性地推送活动信息的推送策略。在本实施例中，具体的推送策略可以由本领域人员灵活确定，例如，若消费需求信 息大于账户余额信息，则可以确定对应的信息类型为充值类型；若消费需求信息小于账户余额信息，则可以确定对应的信息类型为消费类型。另外，还可以针对消费需求信息与账户余额信息相等的情况设置对应的信息类型。并且，还可以进一步在消费需求信息大于账户余额信息时，根据二者之间的差值所属的数值区间进一步将消费类型划分为多个子类型，比如强消费类型、中消费类型、弱消费类型等，并进一步设置分别与各个子类型相对应的信息内容。比如，对于强消费类型的用户推送优惠力度更大的信息。同理，还可以将充值类型划分为多个子类型，以便更好地适应不同用户的需求。具体地，当确定与比较结果相匹配的推送信息的信息类型为消费类型时，可以推送诸如满减活动信息、优惠券活动信息等；当确定与比较结果相匹配的推送信息的信息类型为充值类型时，可以推送诸如充值优惠活动信息等。
另外，预设的活动推送策略还可以为结合阅读用户的活跃度信息和用户等级信息中的至少一个确定与用户特征信息相匹配的活动内容。可选地，上述预设的活动推送策略还可以进一步包括：推送频率类策略、互斥类策略、优先级策略以及概率占比策略。在确定活动推送策略之后，可以按照预设的活动推送策略，并根据在步骤S110获取的用户特征信息，确定活动配置信息中包含的与该用户特征信息相匹配的活动内容。根据该步骤，能够根据不同用户的不同的用户特征有针对性地确定活动配置信息中包含的与用户特征信息相匹配的活动内容，从而更加的人性化，提升了用户体验。
步骤S130：响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面。
具体地，响应活动页面的配置请求，并将在步骤S120中确定的活动内容发送给页面展示服务器，然后页面展示服务器可以使用PHP语言将活动内容的信息以代码的形式嵌入到H5页面中，形成活动页面，然后将上述确定的活动内容配置到活动页面中，并向客户端下发上述活动页面，阅读用户可以根据上述下发的活动页面获取向其推送的各种活动信息。具体地，页面展示服务器将活动内容配置到活动页面中时，可以将活动内容配置到活动页面中的各种资源位中，上述资源位可以包括：浮窗、弹窗、挂件等。总之，本公开不限制将活动内容配置到活动页面中的各种资源位中的具体方式。
根据本实施例一提供的基于电子书的活动内容推送方法，通过接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息；并从活动配置库中获取活动配置信息，并按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；从而响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面。
根据该方法，能够针对不同的阅读用户的不同的用户特征信息，有针对地推送活动内容，更加的人性化，提升了用户体验。同时，也提高了推送的活动的转化率，并促使阅读用户更多地消费、充值以及阅读更多的书籍，养成良好的读书习惯。
图2示出了本公开实施例二提供的基于电子书的活动内容推送方法的流程图。如图2所示，该方法包括以下步骤S210～步骤S240。
为了更加清楚地说明本实施例二提供的方法，图3示出了本公开实施二中采用的一种 网络架构示意图。下述步骤中的执行主体可以为图3示出的数据中心服务器37。如图3所示，该网络架构包括：活动配置库31、用户特征库32、历史分发活动库33、客户端34、页面展示服务器35、配置服务器36、数据中心服务器37，上述网络架构中各个组件的具体的连接关系可以参照图3中的连接关系，在此不再赘述。
步骤S210：接收页面展示服务器发送的活动页面配置请求，从用户特征库32中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息。
具体地，如图3所示，用户登录客户端34之后，当用户的阅读状态符合预设活动推送状态时，客户端34可以向页面展示服务器35请求配置活动页面，页面展示服务器35在接收到上述请求之后，向数据中心服务器37发送活动页面配置请求。然后数据中心服务器37可以接收页面展示服务器35发送的活动页面配置请求，从用户特征库32中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息。
其中，用户特征库32用于存储用户特征信息，用户特征信息可以包括：阅读用户的账户余额信息、以及消费需求信息与账户余额信息之间的比较结果。上述用户特征信息还可以包括阅读用户的活跃度信息和用户等级信息中的至少一个。关于获取上述用户特征信息的具体方式可以参见步骤S110中的内容。其中，由于用户特征信息中包含的消费需求信息直接关系到用户类型的结果划分以及活动推送的准确度，因此，本实施例提出了一种具体的消费需求信息的确定方式，为了描述的紧凑性，将在本实施例的末尾重点描述消费需求信息的确定方式，此处不再赘述。
其中，上述活动配置库用于存储活动配置信息，上述活动配置信息可以指推送的各种活动的具体的配置信息，比如针对福利卡活动可以为充M元送N元的信息，其中，M表示充值档位，N表示赠送额度信息。或者，活动配置信息为内容里的每一个书单信息，比如书城免费频道里面配置的书单列表信息。上述活动配置信息可以用来设定推送活动的具体形式、内容以及分发形态。
另外，在本实施例中，为了便于运营人员针对活动进行配置及更新，如图3所示，进一步设置有专用于执行配置操作的配置服务器36，配置服务器36可以用于设置活动配置信息，每当配置服务器36更新完活动配置信息后，都会将配置好的活动配置信息实时地发送给数据中心服务器37，这样数据中心服务器37可以及时地获取配置服务器36设置的活动配置信息。在从活动配置库中获取活动配置信息的步骤之前，将获取到的配置服务器36中设置的活动配置信息缓存到活动配置库中，这样数据中心服务器37可以直接从活动配置库中获取更新后的活动配置信息，从而避免了每次接收到页面配置请求之后，都要从配置服务器36中获取活动配置信息而造成的效率低下以及获取延时的问题。在本步骤中，数据中心服务器37通过将从配置服务器36中获取的活动配置信息缓存在本地的活动配置库中，从而每次接收到页面配置请求之后可以直接从活动配置库中获取活动配置信息，提高了获取活动配置信息的速率。
步骤S220：按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容。
具体地，如图3所示，当预设好具体的活动推送策略之后，数据中心服务器37可以按照上述预设的活动推送策略，获取活动配置库31中的活动配置信息并确定上述活动配 置信息中包含的与用户特征信息相匹配的活动内容，从而能够根据用户的消费需求信息以及其他的用户特征信息，实现个性化的信息推送，使每个用户收到为其量身定制的推送信息，达到了千人千面的技术效果。
其中，上述活动推送策略包括：当消费需求信息大于账户余额信息时，确定与用户特征信息相匹配的活动内容的类型为充值类型；当消费需求信息不大于账户余额信息时，确定与用户特征信息相匹配的活动内容的类型为消费类型。具体地，当消费需求信息大于账户余额信息时，说明该用户的账户余额不足，因此，确定与比较结果相匹配的推送信息的信息类型为充值类型；当消费需求信息不大于账户余额信息时，说明该用户的账户余额充足，因此，确定与比较结果相匹配的推送信息的信息类型为消费类型。另外，本领域技术人员能够理解的是，虽然本实施例仅以充值类型和消费类型为例进行了说明，但是，本公开不限于此，还可以将信息类型细化为更多的子类型。
进一步地，当确定与用户特征信息相匹配的活动内容的类型为消费类型时，在向阅读用户推送活动配置信息中包含的与用户特征信息相匹配的活动内容时可以向阅读用户推送根据消费需求信息确定的满减活动信息和优惠活动信息中的至少一个。上述优惠活动可以以优惠券、代金券、限时免费、打折扣的形式进行信息推送。当确定与用户特征信息相匹配的活动内容的类型为充值类型时，在向阅读用户推送活动配置信息中包含的与用户特征信息相匹配的活动内容时可以向阅读用户推送根据阅读用户的历史充值信息和消费需求信息中的至少一个确定的充值活动信息；其中，阅读用户的历史充值信息包括以下信息中的至少一个：阅读用户最近一次充值行为所对应的充值档位信息和阅读用户在历史时段内充值频次最高的充值行为所对应的充值档位信息。具体地，在向阅读用户推送充值类型的推送信息时可以向用户推送比阅读用户最近一次充值行为所对应的充值档位和阅读用户在历史时段内充值频次最高的充值行为所对应的充值档位中的至少一个略高(例如高出一或两个档位、或高出半个档位等)的充值活动信息，从而促使阅读用户更多地进行充值。另外，在根据消费需求信息确定充值活动信息时，可以根据用户的消费需求信息灵活地确定推送的充值活动信息中的充值金额，比如可以将充值活动信息中的充值金额确定为和用户的消费需求金额相等的金额数值；或者将充值活动信息中的充值金额确定为略高于用户的消费需求金额的金额数值，以促使阅读用户更多地进行充值。通过向阅读用户推送根据该阅读用户的历史充值信息和消费需求信息中的至少一个确定的充值活动信息，能够更加地符合阅读用户的充值需求，更加地人性化，从而促使了阅读用户更多地进行充值。根据上述针对消费、充值类型用户的活动推送策略后，然后确定活动配置信息中包含的与用户特征信息相匹配的活动内容。
可选地，上述活动推送策略还可以包括：结合阅读用户的活跃度信息和用户等级信息中的至少一个确定与用户特征信息相匹配的活动内容。其中，上述活跃度信息可以根据APP启动天数、累积阅读时长和累积阅读次数中的至少一个确定。比如针对APP启动天数，可以将近一个月内启动APP的天数超过20天的阅读用户确定为高活跃用户，将近一个月内启动APP的天数在10天至20天范围内的用户确定为中活跃用户，将近一个月内启动APP的天数在1至10天范围内的用户确定为低活跃用户，并将近一个月内未启动过APP的用户确定为流失用户。除了根据APP启动天数来确定用户的活跃度外，还可以结合累积阅读 时长以及累积阅读次数来确定，比如可以规定在预设时间内累积阅读时长超过某预设阅读时长、累积阅读次数超过某预设阅读次数的阅读用户确定为高活跃用户，其余的中活跃用户、低活跃用户所对应预设的阅读时长范围、累积阅读次数范围还可以根据此方法由本领域技术人员来具体地进行设定。另外，上述用户等级信息可以根据用户注册时长和用户充值记录中的至少一个确定。比如针对新用户可以优先推送首次充值活动信息、福利卡信息，根据用户的充值记录确定时可以针对用户的充值习惯具体地设定所推送信息的类型。具体地，针对同一种信息类型的不同活跃度的阅读用户，可以通过改变各种推送信息的占比来改变推送的信息的优惠力度。具体地，可以随着阅读用户活跃度的降低适当提高推送信息的优惠力度，从而提高用户的积极性，以进行更多的充值、消费等活动。比如针对消费类型，当阅读用户的账户余额与该阅读用户的消费需求相等时，对高中活跃度的阅读用户，可以将推送信息中折扣信息的占比设置为40％，全价信息的占比设置为40％、福利卡信息占比设置为20％；针对低活跃度的阅读用户，可以将推送信息中折扣信息的占比设置为20％、全价信息的占比设置为10％、免费信息的占比设置为20％、首次充值优惠活动信息以及福利卡的占比设置为40％；针对流失用户，可以将推送信息中全场限免的比例设置为40％，免费信息的占比设置为30％，首次充值优惠活动信息的占比设置为20％、折扣信息的占比设置为10％。随着活跃度的降低，通过改变各种推送信息的占比来提高推送信息的总的优惠力度以提高用户的积极性，从而可以进行更多的充值以及消费。进一步地，根据用户等级信息确定推送信息的信息内容时，可以对等级较低的用户推送优惠力度比较大的推送信息以促使用户进行充值、消费来提高用户等级，对等级较高的用户可以适当推送优惠力度较小的活动信息，具体地可以参见上述根据阅读用户的活跃度信息的确定方式。
进一步地，上述活动推送策略还可以进一步包括：推送频率类策略、互斥类策略、优先级策略以及概率占比策略。上述推送频率策略可以设置为消息推送频次控制不变的策略或者其它类型的策略，比如每个活动一天只推送一次，或者几天推送一次。互斥类原则是指特定的活动不与与其相斥的活动同时推送的原则，比如由于全场限免活动与其它活动相斥，所以向同一个用户推荐的时候尽量不将全场限免活动和其它类型的活动一起推送。优先级原则是指针对不同的用户类型，优先推送与该种用户类型相匹配的优先推送的活动信息。比如在向新用户推荐的时候优先推送新用户限时免费活动，其次推送福利卡优惠信息，然后再推送其它的信息。上述概率占比策略是指当该信息类型对应的推送信息为多种时，根据消费需求信息与账户余额信息之间的差值确定的各种推送信息所占的比例或出现的概率。
步骤S230：响应活动页面配置请求，将确定的活动内容发送给页面展示服务器。
如图3所示，数据中心服务器37响应页面展示服务器35发送的活动页面配置请求，并将确定好的推送给阅读用户的活动内容发送给页面展示服务器35。进一步地，在将确定的活动内容发送给页面展示服务器35之后，可以将确定的活动内容作为与阅读用户相对应的历史分发记录存储到预设的历史分发活动库33中。通过将确定的活动内容作为与阅读用户相对应的历史分发记录存储到预设的历史分发活动库33中，数据中心服务器37可以随时获取上述历史分发活动库33中存储的该用户的历史分发记录，从而可以结合上述历史分发记录更快、更加贴切地确定向该用户推送的活动信息。
进一步地，将确定的活动内容发送给页面展示服务器35后，页面展示服务器35还要判断活动内容与活动页面中包含的页面资源位所对应的配置内容是否匹配，若匹配则继续执行下述步骤S240。其中，配置内容由页面展示服务器35根据配置服务器36中存储的页面资源位配置信息确定得出。本实施例中，页面资源位配置信息可以由配置服务器36直接发送给页面展示服务器35，例如在页面资源位配置信息发生更新时，由配置服务器36发送给页面展示服务器35，或者在页面展示服务器35发起活动页面配置请求时，由配置服务器36发送给页面展示服务器35。而在另一种实现方式中，页面资源位配置信息可以连同活动配置信息一道，由配置服务器36发送给数据中心服务器37，并存储于活动配置库31。当数据中心服务器37响应页面展示服务器35的活动页面配置请求时，将存储的页面资源位配置信息与活动内容一道发送给页面展示服务器35。
上述页面资源位包括但不限于以下类型中的至少一个：弹窗、挂件、以及浮窗；并且，上述页面资源位配置信息用于存储活动页面中可能包含的各种类型的页面资源位所对应的配置内容，其中，每种类型的页面资源位所对应的配置内容用于确定该种类型的页面资源位能够配置的活动内容的类型。例如，弹窗可用于弹出各种类型的活动的信息，比如立返立减活动信息、领取优惠券类型的等活动信息，相应地，弹窗类型的页面资源位所对应的配置内容包括各种类型的活动内容。浮窗以及挂件的页面资源位的配置内容可以为优惠券、福利卡、满减券等优惠信息。具体实施时，可通过如下方式实现：
可以首先根据当前界面(即活动页面)的界面类型，确定与当前界面相对应的资源位的类型和数量。其中，比如在用户首次打开APP时，在首页界面可以出现弹窗、浮窗、挂件等资源位；阅读用户阅读书籍的过程中，在书籍页面不适宜出现影响阅读用户阅读书籍的资源位(比如弹窗)，因此，可以通过不影响阅读用户阅读书籍的资源位(比如挂件)进行推送。在确定页面展示服务器35推送的活动内容之后，进一步判断判断活动内容与活动页面中包含的页面资源位所对应的配置内容是否匹配，如果相匹配，则可以执行下述步骤S240。具体地，如果确定页面展示服务器35推送的活动内容为消费满减活动之后，此时若用户的阅读App还停留在阅读电子书的界面，页面展示服务器35所确定的页面资源位的配置内容为挂件所对应的优惠券，则可以判断活动内容与活动页面中包含的页面资源位所对应的配置内容相匹配；相反，如果此时的页面展示服务器35所确定的页面资源位的配置内容为弹窗所对应的立返立减优惠信息，则可以判断活动内容与活动页面中包含的页面资源位所对应的配置内容不匹配。
步骤S240：页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面。
如果在步骤S230中判断活动内容与活动页面中包含的页面资源位所对应的配置内容相匹配，则页面展示服务器35可以将上述活动内容配置到活动页面中与其相匹配的各种资源位上，并向客户端34下发上述活动页面，对阅读用户进行显示。
另外，本领域技术人员还可以对上述实施例进行各种改动和变形：比如由于历史分发活动库33中记录的全网阅读用户的历史分发记录和与阅读用户相对应的历史分发记录中的至少一个，则在执行上述步骤S220时，除了根据上述预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容外，还可以结合历史分发活动库33中记录的全网阅读用户的历史分发记录和与阅读用户相对应的历史分发记录中的至少一 个，确定活动配置信息中包含的与用户特征信息相匹配的活动内容。进一步地，还可以结合历史分发活动库33中记录的全网阅读用户的历史分发记录及其中包含的活动内容所对应的反馈类型和与阅读用户相对应的历史分发记录及其中包含的活动内容所对应的反馈类型中的至少一个，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；其中，上述反馈类型包括正反馈类型和负反馈类型中的至少一个。具体地，结合上述反馈类型，能够针对不同的用户特征信息及时地调整针对该用户的预设的活动推送策略，从而对发送给页面展示服务器35的活动内容进行调整，以使下发到客户端34的活动页面更加符合用户的需求。具体地，当用户在预定时间内未点击或者关闭信息的次数超过预定次数，或者对于该用户推送的信息相关的活动的未转化率较高，则可以确定与推送信息相对应的用户反馈信息为负反馈类型。其中，未转化可以指未充值、未消费、未领取。相对应地，当用户在预定时间内未点击或者关闭信息的次数小于预定次数，或者对于该用户推送的信息相关的活动的未转化率较低，则可以确定与推送信息相对应的用户反馈信息为正反馈类型。针对上述正反馈类型，可以保持或者增大向该用户推送信息的频率或内容以满足其充值消费优惠需求；针对上述负反馈类型，可以减小该用户关闭或者未点击的消息类型的推送频率，或者整体减小所有推送信息的推送频率以及内容，从而减小对用户的打扰。根据上述正反馈类型和负反馈类型中的至少一个来确定活动配置信息中包含的与用户特征信息相匹配的活动内容，能够根据用户的反馈信息及时地对后续推送的推送信息的信息内容进行调整，从而能够更加人性化地对用户进行信息推送，提升了用户体验。
另外，为了更加清楚地说明上述步骤S210中提到的用户特征库32中存储的与阅读用户相对应的用户特征信息中包含的消费需求信息的确定方式，这里将通过以下步骤一～步骤四来详细说明上述消费需求信息的确定方式：
步骤一：获取与阅读用户发生交互的电子书，针对获取到的每本电子书，确定阅读用户针对该电子书执行的各次交互操作的操作时间戳。
首先，确定与阅读用户发生交互的电子书时，可以将阅读用户的历史阅读记录中所包含的每一本电子书均作为与阅读用户发生交互的电子书。接下来，针对获取到的每本电子书，确定阅读用户针对该电子书执行的各次交互操作的操作时间戳。具体地，对于每一本电子书，当阅读用户针对该电子书执行过多次交互操作时，分别获取每一次交互操作的操作时间戳。其中，操作时间戳是指：执行该次交互操作时所对应的系统时间。由此可见，通过各次交互操作的操作时间戳能够确定各次交互操作的操作顺序。
步骤二：根据各次交互操作中相邻的两次交互操作之间的时间间隔，确定阅读用户针对该电子书的交互时长。
具体地，在根据操作时间戳确定出各次交互操作的操作顺序之后，进一步确定各次交互操作中相邻的两次交互操作之间的时间间隔。其中，在一种实现方式中，各次交互操作中相邻的两次交互操作包括各次交互操作中每相邻的两次交互操作，即：将每相邻的两次交互操作均考虑在内。在又一种实现方式中，各次交互操作中相邻的两次交互操作仅包括符合预设规则的若干组相邻的两次交互操作。在根据各次交互操作中相邻的两次交互操作之间的时间间隔，确定阅读用户针对该电子书的交互时长时，可以对各次交互操作中相邻的两次交互操作之间的时间间隔进行预设处理，例如累加求和等，从而得到阅读用户针对 该电子书的交互时长。另外，发明人在实现本公开的过程中发现：在阅读过程中除了瞬时完成的交互操作之外，还可能包含阅读、写评论等持续时间较长的操作，该类操作也能够反映用户与电子书的真实交互过程，因此，为了更加准确地反映用户与电子书之间的交互程度，可选地，在本步骤中，当确定各次交互操作中包含预设持续类操作时，还可以进一步结合预设持续类操作所对应的操作持续时长，确定阅读用户针对该电子书的交互时长。其中，持续类操作是指：相对进入阅读页、打开目录等瞬时完成的操作而言，操作过程需要持续一段时间完成的操作，例如，阅读操作、写评论操作等各种持续时间较长的操作。
步骤三：根据阅读用户针对获取到的每本电子书的交互时长，从获取到的电子书中筛选与阅读用户相对应的深度交互电子书。
由于交互时长是根据阅读用户针对电子书的交互操作得到的，能够反映阅读用户与该电子书之间的交互深度，因此，根据交互时长能够筛选出与阅读用户相对应的深度交互电子书。
需要说明的是，本实施例中所述的深度交互电子书是指，在对可量化指标数据的衡量过程中，指标数据满足预定阈值的电子书。例如当可量化指标数据为交互时长时，预定阈值可以是根据交互时长排序后的前序数量TOP N(正整数)，排序在前N本的电子书为深度交互电子书；或者，预定阈值可以是预设的交互时长，大于等于该交互时长的电子书为深度交互电子书；或者，当可量化指标数据为特定操作类型产生的次数时，预定阈值可以是具体设定的次数M(正整数)，例如当用户先后2次进入某本电子书的购买界面(但是均未购买)时，表明用户对该电子书有一定的阅读兴趣但对付费购买犹豫再三，因此可将该电子书认定为深度交互电子书。
步骤四：根据筛选出的深度交互电子书以及对应深度交互电子书的消费金额，确定阅读用户的消费需求信息。
其中，深度交互电子书的消费金额主要是指：该电子书所对应的未付费部分的金额。例如，对于整本购买的电子书，是指该电子书的整本价格；对于按章购买的电子书，是指该电子书中的未购买章节的价格。具体实施时，可以根据各本深度交互电子书的消费金额总和来确定阅读用户的消费需求信息。
具体地，消费需求信息poPy可通过如下公式计算：
Figure PCTCN2019073494-appb-000001
书籍列表(即通过上述步骤得到的深度交互电子书的列表)，Price bid为上述书籍列表中，对应各本书的价格，即消费金额(确切说是未付部分价格，或者说潜在消费空间，对于按章购买书籍，需要结合用户的章节购买数据计算该价格，即计算剩余未购买章节的总价)。通过每本书与对应的价格相乘，得到该本书的消费存量需求，所有深度交互电子书的消费存量需求之和，即为对应该阅读用户的总消费存量需求，即消费需求信息poPy。
另外，为了使最终确定的消费需求信息更加合理，还可以进一步结合至少一项信息，对得到消费需求信息进行修正：阅读用户的历史日消费额、全网用户的平均日消费额、需求转化天数、以及预设的单日最大充值金额。
在本实施例中，计算消费需求信息poPy的基础在于深度交互的书籍，换句话说，消费需求信息的大小是由用户对书籍的兴趣的广度(书籍数量)和深度(交互深度)共同决定的。但是，发明人在实现本公开的过程中发现：用户的阅读兴趣与用户的消费习惯并不一定是匹配的，经统计发现，这种不匹配的绝大多数情况都是兴趣大于消费习惯所决定的消费额，即用户愿意看很多书，但不愿意花对应的钱(poPy)。这种情况下，根据用户兴趣计算出来的poPy并不是用户实际的消费需求，需要对其进行校正。例如，可根据下述公式处理：
B＝min(mxPyD1，poPy)
其中，B为校正后的消费需求信息，mxPyD1为该阅读用户历史上日消费额的最大值，该公式的意义在于，若poPy大于该阅读用户历史上日消费额的最大值，则说明不符合用户的消费习惯，因此，B值以mxPyD1为准，或者，结合mxPyD1对B值进行修正，以使最终得到的消费需求信息更加适合该用户。
进一步地，考虑到消费存量需求反映的是用户全部的消费需求，而这种需求量并非在一天之内能够全部转化完毕，可能需要连续消费若干天才可将需求全部转化完。相应地，在上述公式中还可以增加一个关于天数的调整系数，变形后的公式为：
B＝min(mxPyD1*3，poPy)
其中，3为关于天数的调整系数，通过对该调整系数大小的设置，可以调整需求存量转化的时间的容忍度。具体业务场景中，除了设置为3天外，也可以设置为2天或5天等其他数值。
进一步地，对于mxPyD1*3还可做进一步修正，变形后的公式为：
B＝min(max(3.4*3，mxPyD1*3)，poPy)
其中，3.4为全网用户平均的日消费额度，实际实施时，该数值需根据业务场景中得到的全网用户平均的日消费额度进行调整。该数值与mxPyD1*3之间取较大值的目的在于：当用户单日消费额度不足全网用户平均值时，参考全网用户平均数额调整B值，一定程度上可以引导用户提高消费额度。
进一步地，公式中还可增加单日允许最大充值金额的系数，变形后的公式为：
B＝min(max(3.4*3，mxPyD1*3)，poPy，100)
其中，100为APP中规定的单日允许最大充值金额，其具体数值可根据业务场景灵活调整。即一个用户一天之内累计充值金额不能大于100元。增加该系数目的在于：当poPy大于100时，用户也只能在当日充值100元，因此，poPy大于100对后续运营分发的参考意义不大，因此，通过取最小值的操作能够使最终得到的消费需求信息与APP更加匹配。
根据本实施例二提供的基于电子书的活动内容推送方法，通过接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息，按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容，并响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器执行：以使页面展示服务器将活动内容配置到活动页面中；然后进一步地判断活动内容与活动页面中包含的页面资源位所对应的配置内容是否匹配，其中，配置内容由页面展示服务器根据配置服务器中存储的页面资源位配置信息确 定得出；若是，将活动内容配置到活动页面中，并向客户端下发活动页面。根据该方法，能够针对不同的阅读用户的不同的用户特征信息中的充值消费需求有针对地推动活动消息，更加的人性化，提升了用户体验。同时，也提高了推送的活动的转化率，并促使阅读用户更多地消费、充值以及阅读更多的书籍，养成良好的读书习惯。
实施例三
本申请实施例三提供了一种非易失性计算机可读存储介质，该非易失性计算机可读存储介质存储有至少一可执行指令，该计算机可执行指令可执行上述任意方法实施例中的基于电子书的活动内容推送方法。
可执行指令具体可以用于使得处理器执行以下操作：
接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；
按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；
响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面；
其中，用户特征信息包括：根据阅读用户的阅读行为确定的消费需求信息；且活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
在一种可选的方式中，其中，可执行指令进一步使处理器执行以下操作：
将确定的活动内容作为与阅读用户相对应的历史分发记录存储到预设的历史分发活动库中；
且按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容的步骤具体包括：
结合历史分发活动库中记录的全网阅读用户的历史分发记录和与阅读用户相对应的历史分发记录中的至少一个，确定活动配置信息中包含的与用户特征信息相匹配的活动内容。
在一种可选方式中，历史分发活动库中进一步存储有各个历史分发记录中包含的活动内容所对应的反馈类型；
则可执行指令进一步使处理器执行以下操作：
结合历史分发活动库中记录的全网阅读用户的历史分发记录及其中包含的活动内容所对应的反馈类型和与阅读用户相对应的历史分发记录及其中包含的活动内容所对应的反馈类型中的至少一个，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；
其中，反馈类型包括正反馈类型和负反馈类型中的至少一个。
在一种可选的方式中，其中，可执行指令进一步使处理器执行以下操作：
将获取到的配置服务器中设置的活动配置信息缓存到活动配置库中。
在一种可选的方式中，其中，可执行指令进一步使处理器执行以下操作：
将确定的活动内容发送给页面展示服务器，以使页面展示服务器执行：
判断活动内容与活动页面中包含的页面资源位所对应的配置内容是否匹配，其中，配置内容由页面展示服务器根据配置服务器中存储的页面资源位配置信息确定得出；
若是，将活动内容配置到活动页面中。
在一种可选方式中，其中，页面资源位包括以下类型中的至少一个：弹窗、挂件、以及浮窗；并且，页面资源位配置信息用于存储各种类型的页面资源位所配置的活动内容的类型。
在一种可选方式中，用户特征信息进一步包括：阅读用户的账户余额信息、以及消费需求信息与账户余额信息之间的比较结果；
且活动推送策略包括：当消费需求信息大于账户余额信息时，确定与用户特征信息相匹配的活动内容的类型为充值类型；
当消费需求信息不大于账户余额信息时，确定与用户特征信息相匹配的活动内容的类型为消费类型。
在一种可选方式中，其中，当确定与用户特征信息相匹配的活动内容的类型为消费类型时，可执行指令进一步使处理器执行以下操作：
向阅读用户推送根据消费需求信息确定的满减活动信息和优惠活动信息中的至少一个；或，
当确定与用户特征信息相匹配的活动内容的类型为充值类型时，可执行指令进一步使处理器执行以下操作：
向阅读用户推送根据阅读用户的历史充值信息和消费需求信息中的至少一个确定的充值活动信息；其中，阅读用户的历史充值信息包括以下信息中的至少一个：阅读用户最近一次充值行为所对应的充值档位信息和阅读用户在历史时段内充值频次最高的充值行为所对应的充值档位信息。
在一种可选的方式中，其中，可执行指令进一步使处理器执行以下操作：
用户特征信息进一步包括：阅读用户的活跃度信息和用户等级信息中的至少一个；
且活动推送策略包括：结合阅读用户的活跃度信息和用户等级信息中的至少一个确定与用户特征信息相匹配的活动内容。
在一种可选的方式中，其中，可执行指令进一步使处理器执行以下操作：
活动推送策略进一步包括：推送频率类策略、互斥类策略、优先级策略以及概率占比策略。
在一种可选的方式中，其中，可执行指令进一步使处理器执行以下操作：
其中，用户特征库中存储的与阅读用户相对应的用户特征信息中包含的消费需求信息通过以下方式确定：
获取与阅读用户发生交互的电子书，针对获取到的每本电子书，确定阅读用户针对该电子书执行的各次交互操作的操作时间戳；
根据各次交互操作中相邻的两次交互操作之间的时间间隔，确定阅读用户针对该电子书的交互时长；
根据阅读用户针对获取到的每本电子书的交互时长，从获取到的电子书中筛选与阅读用户相对应的深度交互电子书；
根据筛选出的深度交互电子书以及对应深度交互电子书的消费金额，确定阅读用户的消费需求信息。
实施例四
图4示出了根据本公开实施例四的一种电子设备的结构示意图，本公开具体实施例并不对电子设备的具体实现做限定。例如，该电子设备可以为服务器。
如图4所示，该电子设备可以包括：处理器(processor)402、通信接口(Communications Interface)404、存储器(memory)406、以及通信总线408。
其中：处理器402、通信接口404、以及存储器406通过通信总线408完成相互间的通信。通信接口404，用于与其它设备比如客户端或其它服务器等的网元通信。处理器402，用于执行程序410，具体可以执行上述基于电子书的活动内容推送方法实施例中的相关步骤。
具体地，程序410可以包括程序代码，该程序代码包括计算机操作指令。
处理器402可能是中央处理器CPU，或者是特定集成电路ASIC(Application Specific Integrated Circuit)，或者是被配置成实施本公开实施例的一个或多个集成电路。电子设备包括的一个或多个处理器，可以是同一类型的处理器，如一个或多个CPU；也可以是不同类型的处理器，如一个或多个CPU以及一个或多个ASIC。
存储器406，用于存放程序410。存储器406可能包含高速RAM存储器，也可能还包括非易失性存储器(non-volatile memory)，例如至少一个磁盘存储器。
程序410具体可以用于使得处理器402执行以下操作：
接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；
按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；
响应活动页面配置请求，将确定的活动内容发送给页面展示服务器，以使页面展示服务器将活动内容配置到活动页面中，并向客户端下发活动页面；
其中，用户特征信息包括：根据阅读用户的阅读行为确定的消费需求信息；且活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
将确定的活动内容作为与阅读用户相对应的历史分发记录存储到预设的历史分发活动库中；
且按照预设的活动推送策略，确定活动配置信息中包含的与用户特征信息相匹配的活动内容的步骤具体包括：
结合历史分发活动库中记录的全网阅读用户的历史分发记录和与阅读用户相对应的历史分发记录中的至少一个，确定活动配置信息中包含的与用户特征信息相匹配的活动内容。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
历史分发活动库中进一步存储有各个历史分发记录中包含的活动内容所对应的反馈类型；
则在一种可选的方式中，可执行指令使处理器402执行以下操作：
结合历史分发活动库中记录的全网阅读用户的历史分发记录及其中包含的活动内容 所对应的反馈类型和与阅读用户相对应的历史分发记录及其中包含的活动内容所对应的反馈类型中的至少一个，确定活动配置信息中包含的与用户特征信息相匹配的活动内容；
其中，反馈类型包括正反馈类型和负反馈类型中的至少一个。
在一种可选的方式中，可执行指令使所述处理器402执行以下操作：
将获取到的配置服务器中设置的活动配置信息缓存到活动配置库中。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
将确定的活动内容发送给页面展示服务器，以使页面展示服务器执行：
判断活动内容与活动页面中包含的页面资源位所对应的配置内容是否匹配，其中，配置内容由页面展示服务器根据配置服务器中存储的页面资源位配置信息确定得出；
若是，将活动内容配置到活动页面中。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
页面资源位包括以下类型中的至少一个：弹窗、挂件、以及浮窗；并且，页面资源位配置信息用于存储各种类型的页面资源位所配置的活动内容的类型。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
其中，用户特征信息进一步包括：阅读用户的账户余额信息、以及消费需求信息与账户余额信息之间的比较结果；
且活动推送策略包括：当消费需求信息大于账户余额信息时，确定与用户特征信息相匹配的活动内容的类型为充值类型；
当消费需求信息不大于账户余额信息时，确定与用户特征信息相匹配的活动内容的类型为消费类型。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
向阅读用户推送根据消费需求信息确定的满减活动信息和优惠活动信息中的至少一个；或，
在一种可选的方式中，可执行指令使处理器402执行以下操作：
向阅读用户推送根据阅读用户的历史充值信息和消费需求信息中的至少一个确定的充值活动信息；其中，阅读用户的历史充值信息包括以下信息中的至少一个：阅读用户最近一次充值行为所对应的充值档位信息和阅读用户在历史时段内充值频次最高的充值行为所对应的充值档位信息。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
用户特征信息进一步包括：阅读用户的活跃度信息和用户等级信息中的至少一个；
且活动推送策略包括：结合阅读用户的活跃度信息和用户等级信息中的至少一个确定与用户特征信息相匹配的活动内容。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
活动推送策略进一步包括：推送频率类策略、互斥类策略、优先级策略以及概率占比策略。
在一种可选的方式中，可执行指令使处理器402执行以下操作：
其中，用户特征库中存储的与阅读用户相对应的用户特征信息中包含的消费需求信息通过以下方式确定：
获取与阅读用户发生交互的电子书，针对获取到的每本电子书，确定阅读用户针对该电子书执行的各次交互操作的操作时间戳；
根据各次交互操作中相邻的两次交互操作之间的时间间隔，确定阅读用户针对该电子书的交互时长；
根据阅读用户针对获取到的每本电子书的交互时长，从获取到的电子书中筛选与阅读用户相对应的深度交互电子书；
根据筛选出的深度交互电子书以及对应深度交互电子书的消费金额，确定阅读用户的消费需求信息。
在此提供的算法和显示不与任何特定计算机、虚拟系统或者其它设备固有相关。各种通用系统也可以与基于在此的示教一起使用。根据上面的描述，构造这类系统所要求的结构是显而易见的。此外，本公开也不针对任何特定编程语言。应当明白，可以利用各种编程语言实现在此描述的本公开的内容，并且上面对特定语言所做的描述是为了披露本公开的最佳实施方式。
在此处所提供的说明书中，说明了大量具体细节。然而，能够理解，本公开的实施例可以在没有这些具体细节的情况下实践。在一些实例中，并未详细示出公知的方法、结构和技术，以便不模糊对本说明书的理解。
类似地，应当理解，为了精简本公开并帮助理解各个公开方面中的一个或多个，在上面对本公开的示例性实施例的描述中，本公开的各个特征有时被一起分组到单个实施例、图、或者对其的描述中。然而，并不应将该公开的方法解释成反映如下意图：即所要求保护的本公开要求比在每个权利要求中所明确记载的特征更多的特征。更确切地说，如下面的权利要求书所反映的那样，公开方面在于少于前面公开的单个实施例的所有特征。因此，遵循具体实施方式的权利要求书由此明确地并入该具体实施方式，其中每个权利要求本身都作为本公开的单独实施例。
本领域那些技术人员可以理解，可以对实施例中的设备中的模块进行自适应性地改变并且把它们设置在与该实施例不同的一个或多个设备中。可以把实施例中的模块或单元或组件组合成一个模块或单元或组件，以及此外可以把它们分成多个子模块或子单元或子组件。除了这样的特征或过程或者单元中的至少一些是相互排斥之外，可以采用任何组合对本说明书(包括伴随的权利要求、摘要和附图)中公开的所有特征以及如此公开的任何方法或者设备的所有过程或单元进行组合。除非另外明确陈述，本说明书(包括伴随的权利要求、摘要和附图)中公开的每个特征可以由提供相同、等同或相似目的的替代特征来代替。
此外，本领域的技术人员能够理解，尽管在此所述的一些实施例包括其它实施例中所包括的某些特征而不是其它特征，但是不同实施例的特征的组合意味着处于本公开的范围之内并且形成不同的实施例。例如，在下面的权利要求书中，所要求保护的实施例的任意之一都可以以任意的组合方式来使用。
应该注意的是上述实施例对本公开进行说明而不是对本公开进行限制，并且本领域技术人员在不脱离所附权利要求的范围的情况下可设计出替换实施例。在权利要求中，不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未 列在权利要求中的元件或步骤。位于元件之前的单词“一”或“一个”不排除存在多个这样的元件。本公开可以借助于包括有若干不同元件的硬件以及借助于适当编程的计算机来实现。在列举了若干装置的单元权利要求中，这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二、以及第三等的使用不表示任何顺序。可将这些单词解释为名称。

Claims (24)

  1. 一种基于电子书的活动内容推送方法，其包括：
    接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；
    按照预设的活动推送策略，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容；
    响应所述活动页面配置请求，将确定的所述活动内容发送给所述页面展示服务器，以使所述页面展示服务器将所述活动内容配置到所述活动页面中，并向客户端下发所述活动页面；
    其中，所述用户特征信息包括：根据所述阅读用户的阅读行为确定的消费需求信息；且所述活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
  2. 根据权利要求1所述的方法，其中，所述将确定的所述活动内容发送给所述页面展示服务器的步骤之后，进一步包括：将确定的所述活动内容作为与所述阅读用户相对应的历史分发记录存储到预设的历史分发活动库中；
    且所述按照预设的活动推送策略，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容的步骤具体包括：
    结合所述历史分发活动库中记录的全网阅读用户的历史分发记录和与所述阅读用户相对应的历史分发记录中的至少一个，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容。
  3. 根据权利要求2所述的方法，其中，所述历史分发活动库中进一步存储有各个历史分发记录中包含的活动内容所对应的反馈类型；
    则所述结合所述历史分发活动库中记录的全网阅读用户的历史分发记录和与所述阅读用户相对应的历史分发记录中的至少一个，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容的步骤进一步包括：
    结合所述历史分发活动库中记录的全网阅读用户的历史分发记录及其中包含的活动内容所对应的反馈类型和与所述阅读用户相对应的历史分发记录及其中包含的活动内容所对应的反馈类型中的至少一个，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容；
    其中，所述反馈类型包括正反馈类型和负反馈类型中的至少一个。
  4. 根据权利要求1-3任一所述的方法，其中，所述从活动配置库中获取活动配置信息的步骤之前，进一步包括：将获取到的配置服务器中设置的活动配置信息缓存到所述活动配置库中。
  5. 根据权利要求4所述的方法，其中，所述将确定的所述活动内容发送给所述页面展示服务器的步骤具体包括：
    将确定的所述活动内容发送给所述页面展示服务器，以使所述页面展示服务器执行：
    判断所述活动内容与所述活动页面中包含的页面资源位所对应的配置内容是否匹配，其中，所述配置内容由所述页面展示服务器根据所述配置服务器中存储的页面资源位配置信息确定得出；
    若是，将所述活动内容配置到所述活动页面中。
  6. 根据权利要求5所述的方法，其中，所述页面资源位包括以下类型中的至少一个：弹窗、挂件、以及浮窗；并且，所述页面资源位配置信息用于存储各种类型的页面资源位所配置的活动内容的类型。
  7. 根据权利要求1-6任一所述的方法，其中，所述用户特征信息进一步包括：所述阅读用户的账户余额信息、以及所述消费需求信息与所述账户余额信息之间的比较结果；
    且所述活动推送策略包括：当所述消费需求信息大于所述账户余额信息时，确定与所述用户特征信息相匹配的活动内容的类型为充值类型；
    当所述消费需求信息不大于所述账户余额信息时，确定与所述用户特征信息相匹配的活动内容的类型为消费类型。
  8. 根据权利要求7所述的方法，其中，当确定与所述用户特征信息相匹配的活动内容的类型为消费类型时，所述向所述阅读用户推送所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容的步骤具体包括：向所述阅读用户推送根据所述消费需求信息确定的满减活动信息和优惠活动信息中的至少一个；和，
    当确定与所述用户特征信息相匹配的活动内容的类型为充值类型时，所述向所述阅读用户推送所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容的步骤具体包括：向所述阅读用户推送根据所述阅读用户的历史充值信息和所述消费需求信息中的至少一个确定的充值活动信息；其中，所述阅读用户的历史充值信息包括以下信息中的至少一个：所述阅读用户最近一次充值行为所对应的充值档位信息和所述阅读用户在历史时段内充值频次最高的充值行为所对应的充值档位信息。
  9. 根据权利要求1-8任一所述的方法，其中，所述用户特征信息进一步包括：所述阅读用户的活跃度信息和用户等级信息中的至少一个；
    且所述活动推送策略包括：结合所述阅读用户的活跃度信息和用户等级信息中的至少一个确定与所述用户特征信息相匹配的活动内容。
  10. 根据权利要求1-9任一所述的方法，其中，所述活动推送策略进一步包括：推送频率类策略、互斥类策略、优先级策略以及概率占比策略。
  11. 根据权利要求1-10任一所述的方法，其中，所述用户特征库中存储的与阅读用户相对应的用户特征信息中包含的消费需求信息通过以下方式确定：
    获取与阅读用户发生交互的电子书，针对获取到的每本电子书，确定所述阅读用户针对该电子书执行的各次交互操作的操作时间戳；
    根据所述各次交互操作中相邻的两次交互操作之间的时间间隔，确定所述阅读用户针对该电子书的交互时长；
    根据所述阅读用户针对获取到的每本电子书的交互时长，从获取到的电子书中筛选与所述阅读用户相对应的深度交互电子书；
    根据筛选出的深度交互电子书以及对应所述深度交互电子书的消费金额，确定所述阅读用户的消费需求信息。
  12. 一种电子设备，包括：处理器、存储器、通信接口和通信总线，所述处理器、所述存储器和所述通信接口通过所述通信总线完成相互间的通信；
    所述存储器用于存放至少一可执行指令，所述可执行指令使所述处理器执行以下操作：
    接收页面展示服务器发送的活动页面配置请求，从用户特征库中获取与阅读用户相对应的用户特征信息，并从活动配置库中获取活动配置信息；
    按照预设的活动推送策略，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容；
    响应所述活动页面配置请求，将确定的所述活动内容发送给所述页面展示服务器，以使所述页面展示服务器将所述活动内容配置到所述活动页面中，并向客户端下发所述活动页面；
    其中，所述用户特征信息包括：根据所述阅读用户的阅读行为确定的消费需求信息；且所述活动推送策略用于确定消费需求信息与活动配置信息之间的对应关系。
  13. 根据权利要求12所述的电子设备，其中，所述可执行指令使所述处理器执行以下操作：将确定的所述活动内容作为与所述阅读用户相对应的历史分发记录存储到预设的历史分发活动库中；
    且所述可执行指令使所述处理器执行以下操作：
    结合所述历史分发活动库中记录的全网阅读用户的历史分发记录和与所述阅读用户相对应的历史分发记录中的至少一个，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容。
  14. 根据权利要求13所述的电子设备，其中，在一种可选方式中，所述历史分发活动库中进一步存储有各个历史分发记录中包含的活动内容所对应的反馈类型；
    则所述可执行指令使所述处理器执行以下操作：
    结合所述历史分发活动库中记录的全网阅读用户的历史分发记录及其中包含的活动内容所对应的反馈类型和与所述阅读用户相对应的历史分发记录及其中包含的活动内容所对应的反馈类型中的至少一个，确定所述活动配置信息中包含的与所述用户特征信息相匹配的活动内容；
    其中，所述反馈类型包括正反馈类型和负反馈类型中的至少一个。
  15. 根据权利要求13-14任一所述的电子设备，其中，所述可执行指令使所述处理器执行以下操作：将获取到的配置服务器中设置的活动配置信息缓存到所述活动配置库中。
  16. 根据权利要求15所述的电子设备，其中，所述可执行指令使所述处理器执行以下操作：将确定的所述活动内容发送给所述页面展示服务器，以使所述页面展示服务器执行：
    判断所述活动内容与所述活动页面中包含的页面资源位所对应的配置内容是否匹配，其中，所述配置内容由所述页面展示服务器根据所述配置服务器中存储的页面资源位配置信息确定得出；
    若是，将所述活动内容配置到所述活动页面中。
  17. 根据权利要求16所述的电子设备，其中，所述页面资源位包括以下类型中的至少一个：弹窗、挂件、以及浮窗；并且，所述页面资源位配置信息用于存储各种类型的页面资源位所配置的活动内容的类型。
  18. 根据权利要求12-17任一所述的电子设备，其中，所述用户特征信息进一步包括：所述阅读用户的账户余额信息、以及所述消费需求信息与所述账户余额信息之间的比较结果；
    且所述活动推送策略包括：当所述消费需求信息大于所述账户余额信息时，确定与所述用户特征信息相匹配的活动内容的类型为充值类型；
    当所述消费需求信息不大于所述账户余额信息时，确定与所述用户特征信息相匹配的活动内容的类型为消费类型。
  19. 根据权利要求18所述的电子设备，其中，当确定与所述用户特征信息相匹配的活动内容的类型为消费类型时，所述可执行指令使所述处理器执行以下操作：向所述阅读用户推送根据所述消费需求信息确定的满减活动信息和优惠活动信息中的至少一个；和，
    当确定与所述用户特征信息相匹配的活动内容的类型为充值类型时，所述可执行指令使所述处理器执行以下操作：向所述阅读用户推送根据所述阅读用户的历史充值信息和所述消费需求信息中的至少一个确定的充值活动信息；其中，所述阅读用户的历史充值信息包括以下信息中的至少一个：所述阅读用户最近一次充值行为所对应的充值档位信息、所述阅读用户在历史时段内充值频次最高的充值行为所对应的充值档位信息。
  20. 根据权利要求12-19任一所述的电子设备，其中，所述用户特征信息进一步包括：所述阅读用户的活跃度信息和用户等级信息中的至少一个；
    且所述活动推送策略包括：结合所述阅读用户的活跃度信息和用户等级信息中的至少一个确定与所述用户特征信息相匹配的活动内容。
  21. 根据权利要求12-20任一所述的电子设备，其中，所述活动推送策略进一步包括：推送频率类策略、互斥类策略、优先级策略以及概率占比策略。
  22. 根据权利要求12-21任一所述的电子设备，其中，所述用户特征库中存储的与阅读用户相对应的用户特征信息中包含的消费需求信息通过以下方式确定：
    获取与阅读用户发生交互的电子书，针对获取到的每本电子书，确定所述阅读用户针对该电子书执行的各次交互操作的操作时间戳；
    根据所述各次交互操作中相邻的两次交互操作之间的时间间隔，确定所述阅读用户针对该电子书的交互时长；
    根据所述阅读用户针对获取到的每本电子书的交互时长，从获取到的电子书中筛选与所述阅读用户相对应的深度交互电子书；
    根据筛选出的深度交互电子书以及对应所述深度交互电子书的消费金额，确定所述阅读用户的消费需求信息。
  23. 一种非易失性计算机可读存储介质，所述非易失性计算机可读存储介质中存储有至少一可执行指令，所述可执行指令用于使该计算机执行前述任一权利要求1-11中所述的基于电子书的活动内容推送方法。
  24. 一种计算机程序产品，该计算机程序产品包括存储在非易失性计算机可读存储介质上的计算程序，该计算机程序包括程序指令，当该程序指令被计算机执行时，使该计算机执行前述任一权利要求1-11中所述的基于电子书的活动内容推送方法。
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