WO2019056721A1 - 信息推送方法、电子设备及计算机存储介质 - Google Patents

信息推送方法、电子设备及计算机存储介质 Download PDF

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Publication number
WO2019056721A1
WO2019056721A1 PCT/CN2018/080435 CN2018080435W WO2019056721A1 WO 2019056721 A1 WO2019056721 A1 WO 2019056721A1 CN 2018080435 W CN2018080435 W CN 2018080435W WO 2019056721 A1 WO2019056721 A1 WO 2019056721A1
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Prior art keywords
information
user
user attribute
category
dimension
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PCT/CN2018/080435
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English (en)
French (fr)
Inventor
田敬焘
王芳
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掌阅科技股份有限公司
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Priority to US16/648,657 priority Critical patent/US20200236184A1/en
Publication of WO2019056721A1 publication Critical patent/WO2019056721A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/2866—Architectures; Arrangements
    • H04L67/30—Profiles
    • H04L67/306—User profiles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/535—Tracking the activity of the user

Definitions

  • the present disclosure relates to the field of computers, and in particular, to an information push method, an electronic device, and a non-transitory computer readable storage medium.
  • the push mode is usually presented to the user by using a turntable to extract the offer information or randomly scrolling the offer information.
  • the above push mode can not only push a certain preferential information to the user, but also further enhance the user's attention, thereby achieving multiple beneficial effects.
  • the inventors have found that at least the following problems exist in the prior art: when the information is pushed to the user in the above manner, the usage rate of the pushed preferential information by the user is generally low. The reason is that, because the type of the preferential information to be pushed is limited, and the number of users is huge, the preferential information of one push often corresponds to multiple users, but for each user, the preferential information obtained by the user cannot often meet the actual needs.
  • the present disclosure has been made in order to provide an information push method, an electronic device, and a non-transitory computer readable storage medium that overcome the above problems or at least partially solve the above problems.
  • an information pushing method including: determining user attribute information corresponding to the user identifier according to the acquired user identifier; determining a user attribute category corresponding to the user attribute information, from multiple Determining an information category matching the user attribute category in the information category to be pushed; analyzing the user attribute data included in the user attribute information to obtain an analysis result, and selecting from a plurality of information contents included in the information category matching the user attribute category The information content that matches the analysis result; the information content that matches the analysis result is pushed to the user terminal corresponding to the user identifier.
  • 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, the executable instructions to cause the processor to: determine user attribute information corresponding to the user identifier according to the obtained user identifier; determine a user attribute category corresponding to the user attribute information, from the plurality of to-be-pushed The information category is determined by the information category that matches the user attribute category; the user attribute data included in the user attribute information is analyzed to obtain an analysis result, and the analysis result is selected from a plurality of information contents included in the information category matching the user attribute category. The matched information content; the information content matching the analysis result is pushed to the user terminal corresponding to the user identifier.
  • a non-transitory computer readable storage medium having stored therein at least one executable instruction that causes a processor to perform the following operations Determining user attribute information corresponding to the user identifier according to the obtained user identifier; determining a user attribute category corresponding to the user attribute information, and determining an information category matching the user attribute category from the plurality of information categories to be pushed Analysing the user attribute data included in the user attribute information to obtain an analysis result, and selecting information content matching the analysis result from the plurality of information contents included in the information category matching the user attribute category; matching the analysis result The information content is pushed to the user terminal corresponding to the user identification.
  • a computer program product comprising a computing program stored on the non-transitory computer readable storage medium described above.
  • the corresponding user attribute information can be determined according to the acquired user identifier, and further determined by determining the user attribute information.
  • Corresponding user attribute categories determining information categories that match the user attribute categories from the plurality of information categories to be pushed; and then analyzing the information categories that match the user attribute categories by analyzing user attribute data included in the user attribute information
  • the information content matching the analysis result is selected from the plurality of information contents included, and finally the information content matching the analysis result is pushed to the user terminal corresponding to the user identifier.
  • the present disclosure can effectively classify the user and the push information, and further establish a correspondence between the classified user and the push information, so that the specific category of push information can be pushed to the user with the specific attribute.
  • the push information In order to make the push information more targeted and customized to the user, to ensure that the information pushed to the user matches the current needs of the user, so that the information push process is more effective.
  • FIG. 1 is a flowchart of a method for pushing information according to Embodiment 1 of the present disclosure
  • FIG. 2 is a flowchart of a method for pushing information provided by Embodiment 2 of the present disclosure
  • FIG. 3 is a schematic structural diagram of an electronic device according to Embodiment 4 of the present disclosure.
  • the present disclosure can solve the problem that the user's usage rate of the push information is low and the information push validity is greatly reduced when the information is pushed by the method of randomly extracting the push information.
  • the present disclosure can effectively classify user attributes and push information, so as to push specific types of push information to users with specific attributes, so that the push information is more targeted and customized when facing the user, and ensures the information pushed to the user and The user's current needs match, making the information push process more efficient.
  • FIG. 1 is a flowchart of a method for pushing information according to Embodiment 1 of the present disclosure. As shown in Figure 1, the method includes the following steps:
  • Step S110 Determine user attribute information corresponding to the user identifier according to the obtained user identifier.
  • the user identifier may be a user name, a user registration account, and the like, which can uniquely identify the identity of the user.
  • Each user ID has its corresponding user attribute information, which is used to indicate the attributes that each user has.
  • the basic attribute information of the user such as the age and gender of the user
  • historical behavior attribute information such as historical operation information and historical browsing information of the user in using the website or the APP, or the user's account balance, historical bill, and consumption type statistical information.
  • user consumption attribute information related to user consumption, and the like includes, but is not limited to, various types of information listed above, and the disclosure does not limit the type of the user attribute information.
  • the user attribute information may include only one dimension, and may also include multiple dimensions.
  • the dimension of the user attribute information may include one or more of the following dimensions: balance dimension, recharge frequency dimension, recharge amount dimension, consumption frequency dimension, consumption amount dimension, reading duration dimension, activity number dimension, And the dimensions of the information content that has been pushed.
  • the dimension of the user attribute information includes, but is not limited to, the foregoing various dimensions, and a person skilled in the art may also set the dimension of the user attribute information to other dimensions than the foregoing dimension according to actual needs. The disclosure is not limited.
  • the triggering condition of the step may be set by a person skilled in the art according to an actual situation. For example, when receiving a request push message triggered by a preset push portal, the user identifier included in the request push message is obtained, and is determined. The user identifier corresponding to the user attribute information; or when the user behavior of the current user is monitored to meet the preset information pushing condition, the user identifier of the current user is obtained, the user attribute information corresponding to the user identifier is determined, and the like.
  • the disclosure does not limit the triggering conditions of this step.
  • Step S120 Determine a user attribute category corresponding to the user attribute information, and determine an information category that matches the user attribute category from the plurality of information categories to be pushed.
  • the manner in which the user attribute category is determined may be various.
  • the information in the dimension may be divided according to actual conditions, and the user attribute category is determined according to the division result.
  • the information in one dimension may be divided into a plurality of different information intervals, and each information interval corresponds to one user attribute category.
  • the balance dimension when the dimension in the user attribute information only includes the balance dimension, different balance intervals may be divided for the user balance, and each balance interval corresponds to a user attribute category, thereby determining the attribute information with the user.
  • Corresponding user attribute category may be set by a person skilled in the art according to actual conditions, and the disclosure does not limit this.
  • the information in each dimension may be separately divided according to actual conditions, and then the division results in different dimensions are selected for free combination, and the user attribute category is determined according to the combined result.
  • the information in each dimension may be separately divided into a plurality of different information intervals, the information interval to which the current user attribute information belongs in each dimension is determined, and then the information intervals in different dimensions are selected for combination, and each combined result is obtained.
  • a plurality of types of information to be pushed may be set by a person skilled in the art according to actual conditions, and the disclosure does not limit this.
  • the information categories to be pushed are also different.
  • the plurality of information categories to be pushed may include at least one of the following information categories: a book information category, a credit information category, a physical information category, an electronic coupon information category, a welfare card information category, and a top-up preferential information category. , activity information categories, reading permission information categories, and so on.
  • the above-mentioned plurality of information categories to be pushed are also only schematic. In a specific implementation, a person skilled in the art may also use multiple e-books according to actual conditions.
  • the information category to be pushed is set to other information categories than the above-listed information categories, which is not limited in the present disclosure.
  • a corresponding category mapping relationship is established between the determined user attribute category and the plurality of information categories to be pushed to achieve the purpose of determining an information category that matches the user attribute category from the plurality of information categories to be pushed.
  • the corresponding relationship in the above-mentioned category mapping relationship may be set by a person skilled in the art according to actual conditions, which is not limited in the disclosure.
  • Step S130 analyzing the user attribute data included in the user attribute information, and selecting the information content that matches the analysis result from the plurality of information contents included in the information category matching the user attribute category.
  • a plurality of corresponding data ranges are set in advance for the user attribute data included in the user attribute information.
  • the value of the specific range corresponding to the above data range may be set by a person skilled in the art according to actual conditions, which is not limited in the disclosure.
  • the information content included in the information category matching the user attribute category is further classified and divided in advance, and the information content is further divided into a plurality of information content categories.
  • a corresponding content mapping relationship is established between the preset data range and the information content category.
  • the corresponding relationship in the foregoing content mapping relationship may be set by a person skilled in the art according to actual conditions, which is not limited in the disclosure.
  • the data range corresponding to the user attribute data is determined by analyzing the user attribute data included in the user attribute information, and then the information category matching the user attribute category according to the determined data range and the content mapping relationship described above.
  • the information content that matches the analysis result is selected among the plurality of information contents included.
  • the specific analysis manner of the user attribute information may be set by a person skilled in the art according to actual conditions, and the disclosure does not limit this.
  • Step S140 Push the information content that matches the analysis result to the user terminal corresponding to the user identifier.
  • the information content matched in the step S130 and matched with the analysis result is pushed to the user terminal corresponding to the user identifier.
  • the corresponding user attribute information can be determined according to the acquired user identifier, and further determined by determining the user attribute category corresponding to the user attribute information from the plurality of information categories to be pushed.
  • the information category that matches the user attribute category then, by analyzing the user attribute data included in the user attribute information, selecting the information content that matches the analysis result from the plurality of information content included in the information category matching the user attribute category
  • the information content that matches the analysis result is pushed to the user terminal corresponding to the user identifier.
  • the present disclosure can effectively classify the user and the push information, and further establish a correspondence between the classified user and the push information, so that the specific category of push information can be pushed to the user with the specific attribute. In order to make the push information more targeted and customized to the user, to ensure that the information pushed to the user matches the current needs of the user, so that the information push process is more effective.
  • FIG. 2 is a flowchart of a method for pushing information provided by Embodiment 2 of the present disclosure.
  • an e-book application is taken as an example for description, and those skilled in the art can understand that the present disclosure can also be applied to other various types of applications.
  • the method includes the following steps:
  • Step S210 Determine user attribute information corresponding to the user identifier according to the obtained user identifier.
  • the preset push portal may be a push entrance, a mobile phone shake, and the like. In a specific implementation, the specific setting form of the push portal is not limited in the present disclosure.
  • the preset information pushing condition includes at least one of the following: an e-book chapter read by the user to a discarding probability greater than a preset threshold, a user reading duration exceeding a preset reading duration, a user reading a chapter reaching a preset chapter, and the like.
  • the preset threshold and the preset reading duration may be set by a person skilled in the art according to actual conditions, and the disclosure does not limit this.
  • the triggering condition can be set to other than the above two methods according to the actual situation, which is not limited by the disclosure.
  • the user identifier may be a user name, a user registration account, and the like, which can uniquely identify the identity of the user.
  • Each user ID has its corresponding user attribute information, which is used to indicate the attributes that each user has.
  • the user attribute information may include one dimension or multiple dimensions, which is not limited in this disclosure.
  • the user attribute information includes at least one of the following dimensions: a balance dimension, a recharge frequency dimension, a refill amount dimension, a consumption frequency dimension, a consumption amount dimension, a reading duration dimension, an activity number dimension, and a pushed information content. Dimensions.
  • the dimension of the user attribute information includes, but is not limited to, the foregoing various dimensions, and a person skilled in the art may also set the dimension of the user attribute information to other dimensions than the foregoing dimension according to actual needs.
  • the disclosure is not limited.
  • Step S220 Determine a user attribute category corresponding to the user attribute information, and determine an information category that matches the user attribute category from the plurality of information categories to be pushed.
  • the manner in which the user attribute category is determined may be various.
  • the user attribute information corresponding to the user identifier includes multiple dimensions, and the process of determining the user attribute category corresponding to the user attribute information may be: first, respectively, for each dimension of the user attribute information.
  • a user attribute sub-category corresponding to the user attribute information of the dimension is determined.
  • the user attribute information of each dimension may be divided into multiple categories, and each category corresponds to one user attribute sub-category. There may be multiple ways to divide the user attribute information of each dimension, which is not limited in this disclosure.
  • multiple user attribute sub-categories corresponding to the user attribute information of the balance dimension may be determined according to the size of the balance quota, for example, when the balance amount is less than 10
  • the user attribute sub-category corresponding to the user attribute information of the balance dimension is determined to be the first user attribute sub-category; when the balance quota is between 10-50 (including 10 and 50), the user attribute information of the balance dimension is determined.
  • the corresponding user attribute sub-category is the second user attribute sub-category; when the balance quota is greater than 50, the user attribute sub-category corresponding to the user attribute information of the balance dimension is determined to be the third user attribute sub-category, and so on.
  • one or more recharge frequency thresholds may be preset, and a plurality of user attribute sub-categories corresponding to the user attribute information of the recharge frequency dimension are determined by determining whether the user recharge frequency is greater than the recharge frequency threshold.
  • a recharge frequency threshold is set to 0.3 times/day, and when the user recharge frequency is greater than 0.3 times/day, it is determined that the user attribute sub-category corresponding to the user attribute information of the recharge frequency dimension is classified into the first user attribute sub-category (corresponding to High-frequency recharge user); when the user recharge frequency is less than or equal to 0.3 times/day, the user attribute sub-category corresponding to the user attribute information of the recharge frequency dimension is determined to be the second user attribute sub-category (corresponding to the low-frequency recharge user), etc. .
  • the method for determining the sub-category of the user attribute in the user attribute information of other dimensions is similar to the method for determining the sub-category of the user attribute in the balance dimension, and details are not described herein again.
  • the user attribute category corresponding to the user attribute information is determined in combination with the user attribute sub-category corresponding to the user attribute information of each dimension.
  • the user attribute sub-category corresponding to the user attribute information of each dimension may be superimposed and combined, and the user attribute category corresponding to the user attribute information is determined according to the result of the superposition combination.
  • the first user attribute subcategory of the balance dimension and the first user attribute subcategory of the refill frequency dimension in the above example are superimposed and combined, and the result of the superposition combination is determined as the first user attribute category (ie, the user attribute information is to be At the same time, the first user attribute sub-category of the balance dimension and the first user attribute sub-category of the recharge frequency dimension are satisfied, and the user correspondingly represents a high-frequency low-cost on the recharge consumption characteristic; similarly, the balance dimension in the above example
  • the third user attribute subcategory and the second user attribute subcategory of the refill frequency dimension are superimposed and combined, and the result of the superimposed combination is determined as the second user attribute category (the user exhibits low frequency and high price on the recharge consumption characteristic), etc.
  • the specific superimposed combination manner in the above-mentioned superimposed combination process may be set according to actual conditions in the prior art, and the disclosure does not limit this.
  • the corresponding weight may be set for each user attribute sub-category, and the corresponding superimposed combination result is calculated according to the set weight. And determining the user attribute category according to the calculated superposition combination result to improve the accuracy of determining the user attribute type.
  • the plurality of information categories to be pushed may include at least one of the following information categories: a book information category, a credit information category, a physical information category, an electronic coupon information category, a welfare card information category, a top-up preferential information category, and an activity information.
  • Category reading permission information category.
  • the information category matching the user attribute category may be determined according to the correspondence between each user attribute category and each information category stored in the preset user information mapping table.
  • the determined user attribute category is the first user attribute category (corresponding to the high-frequency low-cost user)
  • the corresponding relationship stored in the preset user information mapping table is: the first user attribute category corresponds to the first information category ( Corresponding to the push information category of the high frequency low price user, it is determined that the information category matching the first user attribute category is the first information category.
  • the manners of determining other user attribute categories and their corresponding information categories are similar to the foregoing manners, and are not described herein again.
  • the corresponding relationship stored in the preset user information mapping table may be set by a person skilled in the art according to actual conditions, and the disclosure does not limit this.
  • Step S230 Analyze the data range to which the user attribute data included in the user attribute information belongs, and determine the data range from the plurality of information content included in the information category matching the user attribute category according to the preset information content mapping table. Corresponding information content.
  • this step classifies the user attribute information in each user attribute category and the information content in each information category in a more detailed manner. Specifically, for the user attribute information in each user attribute category, the data range to which the user attribute data contained therein belongs is analyzed.
  • the specific analysis manner of the foregoing analysis process and the specific delineation range of the above data range can be set by a person skilled in the art according to actual conditions, which is not limited in the disclosure.
  • the preset information content mapping table is preset with a correspondence relationship between a data range to which the user attribute data belongs and a plurality of information contents included in the information category matching the user attribute category.
  • this step after determining the user attribute category, first analyzing and determining the data range to which the user attribute data included in the user attribute information belongs, and then searching and determining the information corresponding to the data range in the preset information content mapping table. Content, so that the correspondence between the user attribute data and the pushed information content is more refined, so that when the information is pushed in the subsequent process, the corresponding information pushed by the user is more targeted and customized when the user is oriented, so that the push information is pushed. More effective.
  • step S220 after determining that the first user attribute category corresponds to the first information category, further analyzing the data range to which the user attribute data included in the user attribute information of the first user attribute category belongs, if There are two data ranges for the above-mentioned user attribute data in the information content mapping table, which are the first data range and the second data range, respectively.
  • the first data range corresponds to the first information content
  • the second data range corresponds to the second information content.
  • the above user attribute data may also be user attribute data stored locally, for example, a book stored locally by the user.
  • the user attribute data stored locally by the user may be first searched and acquired, and the data range to which the obtained local user attribute data belongs may be further analyzed. For example, after analyzing the e-book stored by the user in the local, if the analysis result is that the number of romance books stored in the local e-book is greater than 50% of the total number of local books, determining that the user attribute data belongs to If the data range is a romance class, the information content corresponding to the romance class is searched in the preset information content mapping table. To push content related to romance to the user.
  • the data ranges to which the different user attribute data belong may be superimposed and combined, and the corresponding information content is determined according to the result of the superimposed combination.
  • the process of the above superimposed combination is similar to the superimposition process in step S220, and details are not described herein again.
  • the corresponding weight may be further set for each user attribute data according to the importance of the user number attribute data, and then the user attribute data included in the user attribute information is calculated and analyzed according to the weight set above.
  • the data range is so that the data range obtained by the analysis is more accurate, so that the determined corresponding information content is more certain, and the accuracy of the push information is improved.
  • Step S240 Push the corresponding information content to the user terminal corresponding to the user identifier.
  • step S230 the information content determined in step S230 is pushed to the user terminal corresponding to the user identifier.
  • the corresponding user attribute information can be determined according to the acquired user identifier, and further determined by determining the user attribute category corresponding to the user attribute information from the plurality of information categories to be pushed.
  • the information category that matches the user attribute category; then, by analyzing the user attribute data included in the user attribute information, analyzing the data range to which the user attribute data included in the user attribute information belongs, according to the preset information content mapping table, the user and the user
  • the information content corresponding to the data range is determined among the plurality of information contents included in the information category matched by the attribute category, and finally the information content matching the analysis result is pushed to the user terminal corresponding to the user identifier.
  • the present disclosure can establish a more detailed and multi-dimensional correspondence between the user attribute information and the push information by establishing multi-dimensional user attribute information and push information, and can automatically pass the above-mentioned correspondence relationship and user attribute information to the user.
  • Pushing the corresponding information content increases the accuracy of information push, enabling specific types of push information to be pushed to users with specific attributes, and making push information more targeted and customized to the user, ensuring to the user The pushed information matches the user's current needs, making the information push process more accurate and effective.
  • the user attribute information corresponding to the user identifier is determined according to the obtained user identifier.
  • the example uses the balance dimension as the user attribute information as an example. In the actual application, the user attribute information may be considered in multiple dimensions.
  • step S220 when the user attribute information is a balance, if the balance is low, it is determined that the corresponding user attribute category is an insufficient balance category, and the information category that matches the insufficient balance category is determined from the plurality of information categories to be pushed. Voucher category.
  • the corresponding voucher amount is determined from the plurality of voucher amounts included in the voucher category according to the preset information content mapping table. Specifically, the lower the balance of the user indicates that the user needs a larger amount of the voucher; for example, when the user balance is less than 2 yuan, the corresponding voucher amount is 5 yuan; when the user balance is less than 10 yuan, the corresponding voucher The coupon amount is 3 yuan.
  • step S240 the voucher corresponding to the user is pushed to the user terminal.
  • the voucher can be pushed to the user by means of a rotary lottery.
  • the specific process is as follows: the user triggers the turntable lottery, the system determines that the user's current balance is insufficient, so the voucher category is displayed as a candidate award on the turntable; when the user turns the turntable to complete the turntable draw, the user will hit the voucher category, and click on the voucher after the hit. Category, showing the specific voucher amount.
  • the user can query from the preset information content mapping table according to the current balance of the user to determine the amount of the voucher. In this way, not only can the better voucher amount be determined to ensure more Good push accuracy, and the time required for the processing will not be perceived by the user, which can enhance the user experience.
  • a third embodiment of the present disclosure provides a non-transitory computer readable storage medium storing at least one executable instruction executable in any of the above method embodiments Information push method.
  • the executable instruction may be specifically configured to: cause the processor to: determine user attribute information corresponding to the user identifier according to the acquired user identifier; determine a user attribute category corresponding to the user attribute information, from the plurality of to-be-pushed
  • the information category is determined by the information category that matches the user attribute category; the user attribute data included in the user attribute information is analyzed to obtain an analysis result, and the analysis result is selected from a plurality of information contents included in the information category matching the user attribute category.
  • the matched information content; the information content matching the analysis result is pushed to the user terminal corresponding to the user identifier.
  • the user attribute information includes at least one of the following dimensions: balance dimension, recharge frequency dimension, refill amount dimension, consumption frequency dimension, consumption amount dimension, reading duration dimension, activity dimension dimension, and pushed Information content dimension.
  • the executable instruction when the user attribute information corresponding to the user identifier includes multiple dimensions, the executable instruction further causes the processor to: determine, for each dimension of the user attribute information, The user attribute sub-category corresponding to the user attribute information of the dimension; the user attribute sub-category corresponding to the user attribute information is determined by combining the user attribute sub-category corresponding to the user attribute information of each dimension.
  • the plurality of information categories to be pushed include at least one of the following information categories: a book information category, a credit information category, a physical information category, an electronic coupon information category, a welfare card information category, and a top-up preferential information.
  • the category, the activity information category, and the reading authority information category; the executable instruction further causes the processor to perform the following operations: determining, according to the correspondence between each user attribute category and each information category stored in the preset user information mapping table The category of information that the user attribute category matches.
  • the executable instruction further causes the processor to perform the following operations: analyzing the data range to which the user attribute data included in the user attribute information belongs, according to the preset information content mapping table, from the user attribute category Determining information content corresponding to the data range among the plurality of information content included in the matched information category; wherein the information content mapping table is configured to store a plurality of information content included in each information category and corresponding to each information content The data range of the user attribute data.
  • the executable instructions when the user attribute information corresponding to the user identifier includes multiple dimensions, the executable instructions further cause the processor to perform operations of respectively determining users included in user attribute information of each dimension The data range to which the attribute data belongs; the data range to which the user attribute data included in the user attribute information of each dimension belongs, and the weight of the user attribute information of each dimension, determine the corresponding information content.
  • executable instructions further cause the processor to perform at least one of the following:
  • Operation 1 when receiving the request push message triggered by the preset push portal, acquiring the user identifier included in the request push message, and determining user attribute information corresponding to the user identifier;
  • Operation 2 When it is detected that the user behavior of the current user meets the preset information pushing condition, the user identifier of the current user is obtained, and the user attribute information corresponding to the user identifier is determined; wherein the preset information pushing conditions include the following: At least one of the following: the user reads the e-book chapter whose discarding probability is greater than the preset threshold, the user reading duration exceeds the preset reading duration, and the user reads the chapter to reach the preset chapter.
  • FIG. 3 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 include a processor 302, a communications interface 304, a memory 306, and a communications bus 308.
  • the processor 302, the communication interface 304, and the memory 306 complete communication with each other via the communication bus 308.
  • the communication interface 304 is configured to communicate with network elements of other devices, such as clients or other servers.
  • the processor 302 is configured to execute the program 310, and specifically, the related steps in the foregoing embodiment of the information pushing method.
  • program 310 can include program code, the program code including computer operating instructions.
  • the processor 302 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 306 is configured to store the program 310.
  • Memory 306 may include high speed RAM memory and may also include non-volatile memory, such as at least one disk memory.
  • the program 310 may be specifically configured to enable the processor 302 to: determine user attribute information corresponding to the user identifier according to the acquired user identifier; determine a user attribute category corresponding to the user attribute information, from multiple to-be-pushed The information category is determined by the information category that matches the user attribute category; the user attribute data included in the user attribute information is analyzed, and the plurality of information content included in the information category matching the user attribute category is selected to match the analysis result. Information content; the information content matching the analysis result is pushed to the user terminal corresponding to the user identification.
  • the user attribute information includes at least one of the following dimensions: balance dimension, recharge frequency dimension, refill amount dimension, consumption frequency dimension, consumption amount dimension, reading duration dimension, activity dimension dimension, and pushed Information content dimension.
  • the program 310 when the user attribute information corresponding to the user identifier includes multiple dimensions, the program 310 further causes the processor 302 to perform an operation of determining the user attribute information for each dimension separately.
  • the user attribute sub-category corresponding to the user attribute information of the dimension; the user attribute sub-category corresponding to the user attribute information is determined by combining the user attribute sub-category corresponding to the user attribute information of each dimension.
  • the plurality of information categories to be pushed include at least one of the following information categories: a book information category, a credit information category, a physical information category, an electronic coupon information category, a welfare card information category, and a top-up discount.
  • the program 310 further causes the processor 302 to perform the following operations: analyzing the data range to which the user attribute data included in the user attribute information belongs, according to the preset information content mapping table, from the user attribute category Determining information content corresponding to the data range among the plurality of information content included in the matched information category; wherein the information content mapping table is configured to store a plurality of information content included in each information category and corresponding to each information content The data range of the user attribute data.
  • the program 310 when the user attribute information corresponding to the user identifier includes a plurality of dimensions, the program 310 further causes the processor 302 to perform operations of respectively determining users included in the user attribute information of each dimension.
  • program 310 further causes the processor 302 to perform at least one of the following:
  • Operation 1 when receiving the request push message triggered by the preset push portal, acquiring the user identifier included in the request push message, and determining user attribute information corresponding to the user identifier;
  • Operation 2 When it is detected that the user behavior of the current user meets the preset information pushing condition, the user identifier of the current user is obtained, and the user attribute information corresponding to the user identifier is determined; wherein the preset information pushing conditions include the following: At least one of the following: the user reads the e-book chapter whose discarding probability is greater than the preset threshold, the user reads the chapter exceeds the preset reading duration, and the user reads the chapter to reach the preset chapter.
  • 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

本公开公开了一种信息推送方法、电子设备及非易失性计算机可读存储介质，该方法包括：根据获取到的用户标识确定与该用户标识相对应的用户属性信息；确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；分析用户属性信息中包含的用户属性数据得到分析结果，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容；将与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。

Description

信息推送方法、电子设备及计算机存储介质
相关申请的交叉参考
本申请要求于2017年9月21日提交中国专利局、申请号为201710860863.X、名称为“信息推送方法、电子设备及计算机存储介质”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，具体涉及一种信息推送方法、电子设备及非易失性计算机可读存储介质。
背景技术
目前，为了方便用户获取信息，很多网站或APP都会向用户推送各类信息内容。其中，为了增加推送过程的趣味性和娱乐性，其推送方式通常还会采用转盘抽取优惠信息或随机滚动抽取优惠信息等游戏的方式向用户呈现。上述推送方式不仅能够将一定的优惠信息推送给用户，还能够进一步提升用户的关注度，进而实现多重有益效果。
但是，在实现本公开的过程中，发明人发现现有技术中至少存在如下问题：在采用如上方式向用户推送信息时，用户对推送的优惠信息的使用率普遍偏低。其原因在于，由于待推送的优惠信息种类有限，而用户数量巨大，导致一个推送的优惠信息往往对应多个用户，但对每个用户而言，其获取的优惠信息往往不能与其实际需求相符，导致用户在获取到优惠信息时，通常都会选择弃置其获取到的优惠信息，这不仅使信息推送过程的有效性降低，还会进一步伤害用户体验，使得用户关注度也随之降低，从而使整个信息推送过程的有益效果大大减小。
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信息推送方法、电子设备及非易失性计算机可读存储介质。
根据本公开的一个方面，提供了一种信息推送方法，包括：根据获取到的用户标识确定与该用户标识相对应的用户属性信息；确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；分析用户属性信息中包含的用户属性数据得到分析结果，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容；将与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。
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：根据获取到的用户标识确定与该用户标识相对应的用户属性信息；确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；分析用户属性信息中包含的用户属性数据得到分析结果，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容；将与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。
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：根据获取到的用户标识确定与该用户标识相对应的用户属性信息；确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；分析用户属性信息中包含的用户属性数据得到分析结果，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容；将与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。
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。
在本公开提供的信息推送方法、电子设备、非易失性计算机可读存储介质及计算机程序产品中，能够根据获取到的用户标识确定对应的用户属性信息，并进一步通过确定与该用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；然后通过分析用 户属性信息中包含的用户属性数据，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容，最后将与上述分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。由此可见，本公开中能够对用户以及推送信息进行有效分类，并进一步在进行分类后的用户和推送信息之间建立对应关系，以使特定类别的推送信息能够被推送给具有特定属性的用户，使推送信息在面向用户时更具针对性和定制性，确保向用户推送的信息与用户当前需求相匹配，从而使信息推送过程更具有效性。
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信息推送方法的流程图；
图2示出了本公开实施例二提供的信息推送方法的流程图；
图3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。
本公开能够解决在采用随机抽取推送信息的方式进行信息推送时，用户对推送信息的使用率偏低进而导致信息推送有效性大大降低的问题。本公开能够对用户属性以及推送信息进行有效分类，从而将特定类别的推送信息推送给具有特定属性的用户，使推送信息在面向用户时更具针对性和定制性， 确保向用户推送的信息与用户当前需求相匹配，从而使信息推送过程更具有效性。
实施例一
图1示出了本公开实施例一提供的信息推送方法的流程图。如图1所示，该方法包括以下步骤：
步骤S110：根据获取到的用户标识确定与该用户标识相对应的用户属性信息。
其中，用户标识可以是用户名、用户注册账号等能够唯一标识该用户身份的标识信息。每个用户标识都有与其相对应的用户属性信息，用于表示每个用户自身所具有的属性。例如，用户的年龄、性别等用户的基本属性信息；或者用户在使用网站或APP过程中的历史操作信息、历史浏览信息等历史行为属性信息，或者用户的账户余额、历史账单、消费类型统计信息等与用户消费相关的用户消费属性信息，等等。具体实施中，用户属性信息包括但不限于上述所列举的各种类信息，本公开对用户属性信息的种类不作限定。
其中，用户属性信息可以只包括一个维度，也可以包括多个维度，本公开对此不作限制。以电子书APP为例，用户属性信息的维度可以包括以下维度中的一个或多个：余额维度、充值频率维度、充值金额维度、消费频率维度、消费金额维度、阅读时长维度、活动次数维度、以及已推送的信息内容维度。当然，可以理解的是，具体实施中，用户属性信息的维度包括但不限于上述各个维度，本领域技术人员还可以根据实际需要将用户属性信息的维度设置为除上述维度以外的其它维度，本公开对此不作限定。
具体实施中，本步骤的触发条件可以由本领域技术人员根据实际情况进行设置，例如，当接收到通过预设的推送入口触发的请求推送消息时，获取请求推送消息中包含的用户标识，确定与该用户标识相对应的用户属性信息；或者当监测到当前用户的用户行为符合预设的信息推送条件时，获取当前用户的用户标识，确定与该用户标识相对应的用户属性信息，等等。本公开对本步骤的触发条件不作限制。
步骤S120：确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别。
具体地，用户属性类别的确定方式可以有多种。当用户属性信息中仅包含一个维度的信息时，可以根据实际情况对该维度中信息进行划分，并根据划分结果来确定用户属性类别。具体地，可以将一个维度中的信息划分为多个不同的信息区间，每个信息区间对应一个用户属性类别。以余额维度为例，当用户属性信息中的维度仅包括余额维度时，可以针对用户余额划分出不同的余额区间，并使每个余额区间对应一个用户属性类别，以此来确定与用户属性信息相对应的用户属性类别。具体实施中，上述信息划分的方式可以由本领域技术人员根据实际情况进行设置，本公开对此不作限制。
当用户属性信息中包含多个维度的信息时，可以根据实际情况分别对每个维度中的信息进行划分，然后选取不同的维度中的划分结果进行自由组合，并根据组合结果来确定用户属性类别。例如，可以分别将每个维度中的信息划分为多个不同的信息区间，确定当前用户属性信息在每个维度中所属的信息区间，然后选取不同维度中的信息区间进行组合，每个组合结果对应一个用户属性类别。其中，上述信息区间的划分方式和组合方式可以由本领域技术人员根据实际情况进行设置，本公开对此不作限制。
具体地，多个待推送的信息类别可以由本领域技术人员根据实际情况进行设置，本公开对此不作限制。其中，针对不同类型的网站和APP，多个待推送的信息类别也对应不同。以电子书APP为例，多个待推送的信息类别可以包括以下信息类别中的至少一个：书籍信息类别、积分信息类别、实物信息类别、电子券信息类别、福利卡信息类别、充值优惠信息类别、活动信息类别、阅读权限信息类别，等等。可以理解的是，针对于电子书APP，上述所列举的多个待推送的信息类别也仅仅是示意性的，具体实施中，本领域技术人员还可以根据实际情况将电子书APP中的多个待推送的信息类别设置为除上述列举的各个信息类别之外的其它信息类别，本公开对此不作限定。
最后，在上述确定的用户属性类别和多个待推送的信息类别之间建立对应的类别映射关系，以实现从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别的目的。具体实施中，上述类别映射关系中的对应关系可以由本领域技术人员根据实际情况进行设置，本公开对此不作限定。
步骤S130：分析用户属性信息中包含的用户属性数据，从与用户属性 类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容。
具体地，针对用户属性信息中包含的用户属性数据，预先设置多个相应的数据范围。其中，与上述数据范围对应的具体范围数值可以由本领域技术人员根据实际情况进行设置，本公开对此不作限定。针对与用户属性类别相匹配的信息类别中包含的信息内容，预先对其进行进一步的分类划分，将上述信息内容进一步划分出多个信息内容类别。然后在上述预设的数据范围和信息内容类别之间建立对应的内容映射关系。其中，上述内容映射关系中的对应关系可以由本领域技术人员根据实际情况进行设置，本公开对此不作限定。
在执行本步骤时，通过分析用户属性信息中包含的用户属性数据确定与该用户属性数据对应的数据范围，然后根据上述确定的数据范围以及上述内容映射关系从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容。具体实施中，分析用户属性信息的具体分析方式可以由本领域技术人员根据实际情况进行设置，本公开对此不作限制。
步骤S140：将与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。
具体地，在本步骤中，将步骤S130中选择出的与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。
在本公开提供的信息推送方法中，能够根据获取到的用户标识确定对应的用户属性信息，并进一步通过确定与该用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；然后通过分析用户属性信息中包含的用户属性数据，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容，最后将与上述分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。由此可见，本公开中能够对用户以及推送信息进行有效分类，并进一步在进行分类后的用户和推送信息之间建立对应关系，以使特定类别的推送信息能够被推送给具有特定属性的用户，使推送信息在面向用户时更具针对性和定制性，确保向用户推送的信息与用户当前需求相匹配，从而使信息推送 过程更具有效性。
实施例二
图2示出了本公开实施例二提供的信息推送方法的流程图。在本实施例中，以电子书应用为例进行说明，本领域技术人员能够理解的是，本公开还可以应用于其他各种类型的应用中。如图2所示，该方法包括以下步骤：
步骤S210：根据获取到的用户标识确定与该用户标识相对应的用户属性信息。
其中，本步骤的触发条件可以有多个。例如，当接收到通过预设的推送入口触发的请求推送消息时，获取请求推送消息中包含的用户标识并确定与该用户标识相对应的用户属性信息；或者，当监测到当前用户的用户行为符合预设的信息推送条件时，获取请求推送消息中包含的用户标识，确定与该用户标识相对应的用户属性信息。其中，上述两个触发条件可以单独使用，也可以结合使用，本公开对此不作限定。并且，上述预设的推送入口可以是抽奖入口、手机摇一摇入口等类似推送入口，具体实施中，本公开对上述推送入口的具体设置形式不作限定。上述预设的信息推送条件包括以下中的至少一个：用户阅读至弃读概率大于预设阈值的电子书章节、用户阅读时长超过预设阅读时长、用户阅读章节达到预设章节，等等。具体实施中，上述预设阈值以及预设阅读时长可以由本领域技术人员根据实际情况进行设置，本公开对此不作限制。当然，可以理解的是，本领域技术人员还可以根据实际情况将触发条件设置为除上述两种方式以外的其它方式，本公开对此不作限定。
具体地，在本步骤中，用户标识可以是用户名、用户注册账号等能够唯一标识该用户身份的标识信息。每个用户标识都有与其相对应的用户属性信息，用于表示每个用户自身所具有的属性。其中，用户属性信息可以包括一个维度，也可以包括多个维度，本公开对此不作限制。在本实施例中，用户属性信息包括以下维度中的至少一个：余额维度、充值频率维度、充值金额维度、消费频率维度、消费金额维度、阅读时长维度、活动次数维度、以及已推送的信息内容维度。当然，可以理解的是，具体实施中，用户属性信息的维度包括但不限于上述各个维度，本领域技术人员还可以根据实际需要将 用户属性信息的维度设置为除上述维度以外的其它维度，本公开对此不作限定。
步骤S220：确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别。
具体地，用户属性类别的确定方式可以有多种。其中，在本实施例中，与用户标识相对应的用户属性信息包括多个维度，则确定与用户属性信息相对应的用户属性类别的过程可以为：首先分别针对每个维度的用户属性信息，确定与该维度的用户属性信息相对应的用户属性子分类。具体实施中，可以将每个维度的用户属性信息划分为多个类别，则每个类别对应一个用户属性子分类。其中，将每个维度的用户属性信息划分的方式可以有多种，本公开对此不做限定。以余额维度和充值频率维度的用户属性信息为例，在余额维度中，可以根据余额额度的大小确定与余额维度的用户属性信息相对应的多个用户属性子分类，例如，当余额额度小于10时，确定与余额维度的用户属性信息相对应的用户属性子分类为第一用户属性子类别；当余额额度在10-50之间时(包括10和50)，确定与余额维度的用户属性信息相对应的用户属性子分类为第二用户属性子类别；当余额额度大于50时，确定与余额维度的用户属性信息相对应的用户属性子分类为第三用户属性子类别，等等。在充值频率维度中，可以预先设定一个或多个充值频率阈值，并通过判断用户充值频率是否大于上述充值频率阈值来确定与充值频率维度的用户属性信息相对应的多个用户属性子分类。例如，若设定一个充值频率阈值为0.3次/天，当用户充值频率大于0.3次/天，确定与充值频率维度的用户属性信息相对应的用户属性子分类为第一用户属性子类别(对应高频充值用户)；当用户充值频率小于或等于0.3次/天，确定与充值频率维度的用户属性信息相对应的用户属性子分类为第二用户属性子类别(对应低频充值用户)，等等。同样地，其它维度的用户属性信息中的用户属性子分类的确定方法与上述余额维度中用户属性子分类的确定方法类似，此处不再赘述。
在完成上述过程之后，结合各个维度的用户属性信息所对应的用户属性子分类确定与用户属性信息相对应的用户属性类别。具体实施中，可以将各个维度的用户属性信息所对应的用户属性子分类进行叠加组合，并根据上述叠加组合的结果来确定与用户属性信息相对应的用户属性类别。例如，将上述举例中的余额维度的第一用户属性子类别和充值频率维度的第一用户属 性子类别进行叠加组合，并将叠加组合的结果确定为第一用户属性类别(即用户属性信息要同时满足余额维度的第一用户属性子类别和充值频率维度的第一用户属性子类别，此时用户在充值消费特性上表现对应为高频低价)；类似地，将上述举例中的余额维度的第三用户属性子类别和充值频率维度的第二用户属性子类别进行叠加组合，并将叠加组合的结果确定为第二用户属性类别(用户在充值消费特性上表现为低频高价)，等等。具体实施中，上述叠加组合过程中的具体叠加组合方式可以由本领域技术根据实际情况进行设置，本公开对此不作限制。其中，为了使确定的用户属性类别更具准确性，在上述确定用户属性类别的过程中，还可以为各个用户属性子分类设置对应的权重，并根据上述设置的权重来计算对应的叠加组合结果，并根据计算所得的叠加组合结果来确定用户属性类别，以提升确定用户属性类型的准确性。
具体地，上述多个待推送的信息类别可以包括以下信息类别中的至少一个：书籍信息类别、积分信息类别、实物信息类别、电子券信息类别、福利卡信息类别、充值优惠信息类别、活动信息类别、阅读权限信息类别。在确定与用户属性类别相匹配的信息类别时，可以根据预设的用户信息映射表中存储的各个用户属性类别与各个信息类别之间的对应关系，确定与用户属性类别相匹配的信息类别。例如，当确定的用户属性类别为第一用户属性类别(对应高频低价用户)时，若预设的用户信息映射表中存储的对应关系为：第一用户属性类别对应第一信息类别(对应高频低价用户的推送信息类别)，则确定与第一用户属性类别相匹配的信息类别为第一信息类别。具体实施中，其它用户属性类别以及其对应的信息类别的确定方式与上述方式类似，此处不再赘述。其中，预设的用户信息映射表中存储的对应关系可以由本领域技术人员根据实际情况进行设置，本公开对此不作限制。
步骤S230：分析用户属性信息中包含的用户属性数据所属的数据范围，根据预设的信息内容映射表，从与用户属性类别相匹配的信息类别所包含的多个信息内容中确定与该数据范围相对应的信息内容。
其中，本步骤将每个用户属性类别中的用户属性信息以及每个信息类别中的信息内容进行了更加细化的分类。具体地，针对每个用户属性类别中的用户属性信息，分析其中包含的用户属性数据所属的数据范围。其中，上述分析过程的具体分析方式以及上述数据范围的具体圈定范围可以由本领域 技术人员根据实际情况进行设置，本公开对此不作限定。预设的信息内容映射表中预先设置有用户属性数据所属的数据范围和与用户属性类别相匹配的信息类别所包含的多个信息内容之间的对应关系。在本步骤中，在确定用户属性类别之后，首先分析并确定用户属性信息中包含的用户属性数据所属的数据范围，然后在预设的信息内容映射表中查找并确定与上述数据范围对应的信息内容，使用户属性数据和推送的信息内容之间的对应关系更加细化，从而使后续过程中在推送信息时，其推送的对应信息在面向用户时更具针对性和定制性，使推送信息更加有效。
举例说明，以步骤S220中的例子为例，当确定第一用户属性类别对应第一信息类别之后，进一步分析第一用户属性类别的用户属性信息中包含的用户属性数据所属的数据范围，若预设的信息内容映射表中针对上述用户属性数据的数据范围有两个，分别为第一数据范围和第二数据范围。其中，第一数据范围对应第一信息内容，第二数据范围对应第二信息内容。则当分析所得第一用户属性类别的用户属性信息中包含的用户属性数据所属第一数据范围时，根据预设的信息内容映射表确定与该数据范围相对应的信息内容为第一信息内容；同样地，当分析所得第二用户属性类别的用户属性信息中包含的用户属性数据所属第二数据范围时，则根据预设的信息内容映射表确定与该数据范围相对应的信息内容为第二信息内容。
另外，可选地，上述用户属性数据还可以是存储在本地的用户属性数据，例如，用户存储在本地的书籍。则在分析用户属性数据所属的数据范围时，还可以首先搜索并获取用户存储在本地的用户属性数据，并进一步分析上述获取到的本地的用户属性数据所属的数据范围。例如，当分析用户存储在本地的电子书之后，若分析结果为用户存储在本地的电子书中言情类书籍的数量在本地书籍总数量中的占比大于50％，则确定用户属性数据所属的数据范围为言情类，则在预设的信息内容映射表中查找与言情类对应的信息内容。以将与言情相关的内容推送给用户。
另外，在确定与该数据范围相对应的信息内容时，还可以将不同的用户属性数据所属的数据范围进行叠加组合，并根据叠加组合的结果确定相对应的信息内容。其中，上述叠加组合的过程与步骤S220中的叠加过程类似，此处不再赘述。并且，在上述叠加过程中，还可以进一步根据用户数属性数据的重要性给为每个用户属性数据设置对应权重，然后根据上述设置的权重 来计算并分析用户属性信息中包含的用户属性数据所属的数据范围，以使分析所得的数据范围更加准确，从而使确定的对应的信息内容也更加确定，提升推送信息的准确性。
步骤S240：将上述对应的信息内容推送给与用户标识相对应的用户终端。
具体地，在本步骤中，将步骤S230中确定的信息内容推送给与用户标识相对应的用户终端。
在本公开提供的信息推送方法中，能够根据获取到的用户标识确定对应的用户属性信息，并进一步通过确定与该用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；然后通过分析用户属性信息中包含的用户属性数据，分析用户属性信息中包含的用户属性数据所属的数据范围，根据预设的信息内容映射表，从与用户属性类别相匹配的信息类别所包含的多个信息内容中确定与该数据范围相对应的信息内容，最后将与上述分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。由此可见，本公开能够通过建立多维的用户属性信息和推送信息，使用户属性信息和推送信息之间具有更加细化和多元的对应关系，并能够自动通过上述对应关系和用户属性信息向用户推送对应的信息内容，增加了信息推送时的准确性，使特定类别的推送信息能够被推送给具有特定属性的用户，并使推送信息在面向用户时更具针对性和定制性，确保向用户推送的信息与用户当前需求相匹配，从而使信息推送过程更具准确性和有效性。
为了便于理解，结合图2所示实施例，以用户账户余额不足的场景为例，进行示例说明：
通过步骤S210，根据获取到的用户标识，确定该用户标识对应的用户属性信息；本示例以余额维度作为用户属性信息为例进行说明，实际应用中用户属性信息可以是多个维度综合考虑。
通过步骤S220，当用户属性信息为余额时，如果余额较低，确定相对应的用户属性类别为余额不足类别，从多个待推送的信息类别中确定与余额不足类别相匹配的信息类别为代金券类别。
通过步骤S230，根据余额的具体数额，根据预设的信息内容映射表， 从代金券类别包含的多个代金券金额中确定相应的代金券金额。具体地，用户的余额越低，表明用户越需要数额较大的代金券；例如，当用户余额不足2元时，对应的代金券金额为5元；当用户余额不足10元时，对应的代金券金额为3元。
通过步骤S240，将与用户对应的代金券推送给用户终端。
通过以上步骤，可以实现用户余额不足时，判定用户需要的是代金券，进而向用户推送代金券的过程。在一种可能的实际应用中，可以通过转盘抽奖的方式将代金券推送给用户。具体过程如下：用户触发转盘抽奖，系统判定用户当前余额不足，所以将代金券类别作为候选奖项显示在转盘上；当用户转动转盘完成转盘抽奖后，会命中代金券类别，命中后点击该代金券类别，显示具体的代金券金额。采用将代金券类别作为候选奖项，这个过程中无需查询预设的信息内容映射表，可以节省时间，提高确定候选奖项的速度。另一方面，在转盘转动的期间，可以根据用户当前的余额从预设的信息内容映射表中进行查询，确定代金券金额，采用这样的方法，不仅可以确定更佳的代金券金额来保证更好的推送精度，而且其中的处理过程所需要的时间不会让用户有所感知，可以提升用户体验。
实施例三
本公开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信息推送方法。
可执行指令具体可以用于使得处理器执行以下操作：根据获取到的用户标识确定与该用户标识相对应的用户属性信息；确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；分析用户属性信息中包含的用户属性数据得到分析结果，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容；将与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。
在一种可选的方式中，用户属性信息包括以下维度中的至少一个：余额维度、充值频率维度、充值金额维度、消费频率维度、消费金额维度、阅读 时长维度、活动次数维度、以及已推送的信息内容维度。
在一种可选的方式中，当与该用户标识相对应的用户属性信息包括多个维度时，可执行指令进一步使处理器执行以下操作：分别针对每个维度的用户属性信息，确定与该维度的用户属性信息相对应的用户属性子分类；结合各个维度的用户属性信息所对应的用户属性子分类确定与用户属性信息相对应的用户属性类别。
在一种可选的方式中，多个待推送的信息类别包括以下信息类别中的至少一个：书籍信息类别、积分信息类别、实物信息类别、电子券信息类别、福利卡信息类别、充值优惠信息类别、活动信息类别、阅读权限信息类别；则可执行指令进一步使处理器执行以下操作：根据预设的用户信息映射表中存储的各个用户属性类别与各个信息类别之间的对应关系，确定与用户属性类别相匹配的信息类别。
在一种可选的方式中，可执行指令进一步使处理器执行以下操作：分析用户属性信息中包含的用户属性数据所属的数据范围，根据预设的信息内容映射表，从与用户属性类别相匹配的信息类别所包含的多个信息内容中确定与该数据范围相对应的信息内容；其中，信息内容映射表用于存储各个信息类别中包含的多个信息内容以及与每个信息内容相对应的用户属性数据的数据范围。
在一种可选的方式中，当与该用户标识相对应的用户属性信息包括多个维度时，可执行指令进一步使处理器执行以下操作：分别确定每个维度的用户属性信息中包含的用户属性数据所属的数据范围；结合各个维度的用户属性信息中包含的用户属性数据所属的数据范围，以及各个维度的用户属性信息的权重，确定相对应的信息内容。
在一种可选的方式中，可执行指令进一步使处理器执行以下操作中的至少一种：
操作一：当接收到通过预设的推送入口触发的请求推送消息时，获取请求推送消息中包含的用户标识，确定与该用户标识相对应的用户属性信息；
操作二：当监测到当前用户的用户行为符合预设的信息推送条件时，获取当前用户的用户标识，确定与该用户标识相对应的用户属性信息；其中，预设的信息推送条件包括以下中的至少一个：用户阅读至弃读概率大于预设 阈值的电子书章节、用户阅读时长超过预设阅读时长、用户阅读章节达到预设章节。
实施例四
图3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。
如图3所示，该电子设备可以包括：处理器(processor)302、通信接口(Communications Interface)304、存储器(memory)306、以及通信总线308。
其中：处理器302、通信接口304、以及存储器306通过通信总线308完成相互间的通信。通信接口304，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302，用于执行程序310，具体可以执行上述信息推送方法实施例中的相关步骤。
具体地，程序310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302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306，用于存放程序310。存储器306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310具体可以用于使得处理器302执行以下操作：根据获取到的用户标识确定与该用户标识相对应的用户属性信息；确定与用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与用户属性类别相匹配的信息类别；分析用户属性信息中包含的用户属性数据，从与用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容；将与分析结果相匹配的信息内容推送给与用户标识相对应的用户终端。
在一种可选的方式中，用户属性信息包括以下维度中的至少一个：余额 维度、充值频率维度、充值金额维度、消费频率维度、消费金额维度、阅读时长维度、活动次数维度、以及已推送的信息内容维度。
在一种可选的方式中，当与该用户标识相对应的用户属性信息包括多个维度时，程序310进一步使得处理器302执行以下操作：分别针对每个维度的用户属性信息，确定与该维度的用户属性信息相对应的用户属性子分类；结合各个维度的用户属性信息所对应的用户属性子分类确定与用户属性信息相对应的用户属性类别。
在一种可选的方式中，多个待推送的信息类别包括以下信息类别中的至少一种：书籍信息类别、积分信息类别、实物信息类别、电子券信息类别、福利卡信息类别、充值优惠信息类别、活动信息类别、阅读权限信息类别；则程序310进一步使得处理器302执行以下操作：根据预设的用户信息映射表中存储的各个用户属性类别与各个信息类别之间的对应关系，确定与用户属性类别相匹配的信息类别。
在一种可选的方式中，程序310进一步使得处理器302执行以下操作：分析用户属性信息中包含的用户属性数据所属的数据范围，根据预设的信息内容映射表，从与用户属性类别相匹配的信息类别所包含的多个信息内容中确定与该数据范围相对应的信息内容；其中，信息内容映射表用于存储各个信息类别中包含的多个信息内容以及与每个信息内容相对应的用户属性数据的数据范围。
在一种可选的方式中，当与该用户标识相对应的用户属性信息包括多个维度时，程序310进一步使得处理器302执行以下操作：分别确定每个维度的用户属性信息中包含的用户属性数据所属的数据范围；结合各个维度的用户属性信息中包含的用户属性数据所属的数据范围，以及各个维度的用户属性信息的权重，确定相对应的信息内容。
在一种可选的方式中，程序310进一步使得处理器302执行以下操作中的至少一种：
操作一：当接收到通过预设的推送入口触发的请求推送消息时，获取请求推送消息中包含的用户标识，确定与该用户标识相对应的用户属性信息；
操作二：当监测到当前用户的用户行为符合预设的信息推送条件时，获取当前用户的用户标识，确定与该用户标识相对应的用户属性信息；其中， 预设的信息推送条件包括以下中的至少一个：用户阅读至弃读概率大于预设阈值的电子书章节、用户阅读章节超过预设阅读时长、用户阅读章节达到预设章节。
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 (16)

  1. 一种信息推送方法，其包括：
    根据获取到的用户标识确定与该用户标识相对应的用户属性信息；
    确定与所述用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与所述用户属性类别相匹配的信息类别；
    分析所述用户属性信息中包含的用户属性数据得到分析结果，从与所述用户属性类别相匹配的信息类别所包含的多个信息内容中选择与所述分析结果相匹配的信息内容；
    将所述与分析结果相匹配的信息内容推送给与所述用户标识相对应的用户终端。
  2. 根据权利要求1所述的方法，其中，所述用户属性信息包括以下维度中的至少一个：余额维度、充值频率维度、充值金额维度、消费频率维度、消费金额维度、阅读时长维度、活动次数维度、以及已推送的信息内容维度。
  3. 根据权利要求1或2所述的方法，其中，当所述与该用户标识相对应的用户属性信息包括多个维度时，所述确定与所述用户属性信息相对应的用户属性类别的步骤具体包括：
    分别针对每个维度的用户属性信息，确定与该维度的用户属性信息相对应的用户属性子分类；
    结合各个维度的用户属性信息所对应的用户属性子分类确定与所述用户属性信息相对应的用户属性类别。
  4. 根据权利要求1-3任一所述的方法，其中，所述多个待推送的信息类别包括以下信息类别中的至少一个：书籍信息类别、积分信息类别、实物信息类别、电子券信息类别、福利卡信息类别、充值优惠信息类别、活动信息类别、阅读权限信息类别；
    所述从多个待推送的信息类别中确定与所述用户属性类别相匹配的信息类别的步骤具体包括：
    根据预设的用户信息映射表中存储的各个用户属性类别与各个信息类别之间的对应关系，确定与所述用户属性类别相匹配的信息类别。
  5. 根据权利要求1-4任一所述的方法，其中，所述分析所述用户属性信 息中包含的用户属性数据，从与所述用户属性类别相匹配的信息类别所包含的多个信息内容中选择与分析结果相匹配的信息内容的步骤具体包括：
    分析所述用户属性信息中包含的用户属性数据所属的数据范围，根据预设的信息内容映射表，从与所述用户属性类别相匹配的信息类别所包含的多个信息内容中确定与该数据范围相对应的信息内容；
    其中，所述信息内容映射表用于存储各个信息类别中包含的多个信息内容以及与每个信息内容相对应的用户属性数据的数据范围。
  6. 根据权利要求5所述的方法，其中，当所述与该用户标识相对应的用户属性信息包括多个维度时，所述分析所述用户属性信息中包含的用户属性数据所属的数据范围，根据预设的信息内容映射表，从与所述用户属性类别相匹配的信息类别所包含的多个信息内容中确定与该数据范围相对应的信息内容的步骤具体包括：
    分别确定每个维度的用户属性信息中包含的用户属性数据所属的数据范围；
    结合各个维度的用户属性信息中包含的用户属性数据所属的数据范围，以及各个维度的用户属性信息的权重，确定相对应的信息内容。
  7. 根据权利要求1-6任一所述的方法，其中，所述根据获取到的用户标识确定与该用户标识相对应的用户属性信息的步骤具体包括以下步骤中的至少一个：
    当接收到通过预设的推送入口触发的请求推送消息时，获取所述请求推送消息中包含的用户标识，确定与该用户标识相对应的用户属性信息；
    当监测到当前用户的用户行为符合预设的信息推送条件时，获取所述当前用户的用户标识，确定与该用户标识相对应的用户属性信息；其中，所述预设的信息推送条件包括以下中的至少一个：用户阅读至弃读概率大于预设阈值的电子书章节、用户阅读时长超过预设阅读时长、用户阅读章节达到预设章节。
  8. 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：
    根据获取到的用户标识确定与该用户标识相对应的用户属性信息；
    确定与所述用户属性信息相对应的用户属性类别，从多个待推送的信息类别中确定与所述用户属性类别相匹配的信息类别；
    分析所述用户属性信息中包含的用户属性数据得到分析结果，从与所述用户属性类别相匹配的信息类别所包含的多个信息内容中选择与所述分析结果相匹配的信息内容；
    将所述与分析结果相匹配的信息内容推送给与所述用户标识相对应的用户终端。
  9. 根据权利要求8所述的电子设备，其中，所述用户属性信息包括以下维度中的至少一个：余额维度、充值频率维度、充值金额维度、消费频率维度、消费金额维度、阅读时长维度、活动次数维度、以及已推送的信息内容维度。
  10. 根据权利要求8或9所述的电子设备，其中，当所述与该用户标识相对应的用户属性信息包括多个维度时，所述可执行指令进一步使所述处理器执行以下操作：
    分别针对每个维度的用户属性信息，确定与该维度的用户属性信息相对应的用户属性子分类；
    结合各个维度的用户属性信息所对应的用户属性子分类确定与所述用户属性信息相对应的用户属性类别。
  11. 根据权利要求8-10任一所述的电子设备，其中，所述多个待推送的信息类别包括以下信息类别中的至少一个：书籍信息类别、积分信息类别、实物信息类别、电子券信息类别、福利卡信息类别、充值优惠信息类别、活动信息类别、阅读权限信息类别；
    则所述可执行指令进一步使所述处理器执行以下操作：
    根据预设的用户信息映射表中存储的各个用户属性类别与各个信息类别之间的对应关系，确定与所述用户属性类别相匹配的信息类别。
  12. 根据权利要求8-11任一所述的电子设备，所述可执行指令进一步使所述处理器执行以下操作：
    分析所述用户属性信息中包含的用户属性数据所属的数据范围，根据预设的信息内容映射表，从与所述用户属性类别相匹配的信息类别所包含的多个信息内容中确定与该数据范围相对应的信息内容；
    其中，所述信息内容映射表用于存储各个信息类别中包含的多个信息内容以及与每个信息内容相对应的用户属性数据的数据范围。
  13. 根据权利要求12所述的电子设备，其中，当所述与该用户标识相对应的用户属性信息包括多个维度时，所述可执行指令进一步使所述处理器执行以下操作：
    分别确定每个维度的用户属性信息中包含的用户属性数据所属的数据范围；
    结合各个维度的用户属性信息中包含的用户属性数据所属的数据范围，以及各个维度的用户属性信息的权重，确定相对应的信息内容。
  14. 根据权利要求8-13任一所述的电子设备，所述可执行指令进一步使所述处理器执行以下操作中的至少一种：
    当接收到通过预设的推送入口触发的请求推送消息时，获取所述请求推送消息中包含的用户标识，确定与该用户标识相对应的用户属性信息；
    当监测到当前用户的用户行为符合预设的信息推送条件时，获取所述当前用户的用户标识，确定与该用户标识相对应的用户属性信息；其中，所述预设的信息推送条件包括以下中的至少一个：用户阅读至弃读概率大于预设阈值的电子书章节、用户阅读时长超过预设阅读时长、用户阅读章节达到预设章节。
  15. 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1-7所述的信息推送方法。
  16. 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1-7所述的信息推送方法。
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CN114285896B (zh) * 2021-12-28 2023-07-07 建信金融科技有限责任公司 信息推送方法、装置、设备、存储介质及程序产品
CN114520826B (zh) * 2021-12-31 2024-04-05 珠海华发金融科技研究院有限公司 跨平台信息匹配方法、装置及云端智能机器人
CN117743681B (zh) * 2023-12-05 2024-05-14 工信人本(北京)管理咨询有限公司 一种基于特征匹配进行数据推送的方法和系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102768667A (zh) * 2011-05-06 2012-11-07 腾讯科技（北京）有限公司 一种推送信息的发布方法和系统
CN103685502A (zh) * 2013-12-09 2014-03-26 腾讯科技（深圳）有限公司 一种消息推送方法、装置及系统
CN104298741A (zh) * 2014-10-09 2015-01-21 百度在线网络技术（北京）有限公司 一种用于提供推送信息的方法和装置
CN107465766A (zh) * 2017-09-21 2017-12-12 掌阅科技股份有限公司 信息推送方法、电子设备及计算机存储介质

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102938121A (zh) * 2011-08-15 2013-02-20 阿里巴巴集团控股有限公司 一种商品信息投放方法和设备
CN104572688A (zh) * 2013-10-17 2015-04-29 腾讯科技（深圳）有限公司 信息推送方法及装置
CN110460645A (zh) * 2015-08-04 2019-11-15 阿里巴巴集团控股有限公司 一种信息推送方法和装置
CN105471720A (zh) * 2015-12-28 2016-04-06 广众通电子（深圳）有限公司 消息推送方法、消息推送装置及消息推送系统
CN106656741A (zh) * 2016-09-30 2017-05-10 北京奇虎科技有限公司 一种信息推送方法和系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102768667A (zh) * 2011-05-06 2012-11-07 腾讯科技（北京）有限公司 一种推送信息的发布方法和系统
CN103685502A (zh) * 2013-12-09 2014-03-26 腾讯科技（深圳）有限公司 一种消息推送方法、装置及系统
CN104298741A (zh) * 2014-10-09 2015-01-21 百度在线网络技术（北京）有限公司 一种用于提供推送信息的方法和装置
CN107465766A (zh) * 2017-09-21 2017-12-12 掌阅科技股份有限公司 信息推送方法、电子设备及计算机存储介质

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110333997A (zh) * 2019-07-15 2019-10-15 秒针信息技术有限公司 融合设备使用信息的方法及装置
CN110333997B (zh) * 2019-07-15 2023-11-10 秒针信息技术有限公司 融合设备使用信息的方法及装置
CN111814846A (zh) * 2020-06-19 2020-10-23 浙江大华技术股份有限公司 属性识别模型的训练方法、识别方法及相关设备
CN111814846B (zh) * 2020-06-19 2023-08-01 浙江大华技术股份有限公司 属性识别模型的训练方法、识别方法及相关设备
CN113421118A (zh) * 2021-06-24 2021-09-21 平安壹钱包电子商务有限公司 数据推送方法、系统、计算机设备及计算机可读存储介质
CN113421118B (zh) * 2021-06-24 2023-05-30 平安壹钱包电子商务有限公司 数据推送方法、系统、计算机设备及计算机可读存储介质
CN114301975A (zh) * 2021-11-30 2022-04-08 乐美科技股份私人有限公司 应用内推送信息的处理方法、装置、设备及存储介质

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