TW202032466A

TW202032466A - User age prediction method, apparatus, and device

Info

Publication number: TW202032466A
Application number: TW108126775A
Authority: TW
Inventors: 弢陳; 徐峰; 陳帥
Original assignee: 香港商阿里巴巴集團服務有限公司
Priority date: 2018-10-24
Filing date: 2019-07-29
Publication date: 2020-09-01
Also published as: WO2020082829A1; CN109376927A

Abstract

Disclosed by the present application are a user age prediction method, apparatus, and device. The method comprises: with regard to there being no way to directly learn a target mobile phone number of a user age, collecting an address list of other users the user ages of which may be directly learned, viewing comment information of another user in the address list for a target mobile phone number, and predicting user age for the target mobile phone number on the basis of the age and comment information of the other user.

Description

User age prediction method, device and equipment

本申請涉及電腦技術領域，尤其涉及一種用戶年齡預測方法、裝置及設備。This application relates to the field of computer technology, and in particular to a method, device and equipment for predicting the age of a user.

目前，一般是通過身份認證的方式來確定手機號碼的用戶年齡，而對於未進行身份認證的手機號碼，則無法確定其用戶的年齡。因此，需要可靠的用戶年齡預測方案。At present, the age of a user of a mobile phone number is generally determined through identity authentication, but for a mobile phone number that has not been authenticated, the age of the user cannot be determined. Therefore, a reliable user age prediction scheme is needed.

本說明書的實施例提供一種用戶年齡預測方法，用於預測未進行身份認證的手機號碼的用戶年齡。本說明書的實施例還提供一種用戶年齡預測方法，包括：確定需要預測用戶年齡的目標手機號碼；確定其他用戶的通訊錄中保存的所述目標手機號碼的備註資訊，以及所述其他用戶的年齡；基於所述備註資訊和所述其他用戶的年齡，預測所述目標手機號碼的用戶年齡。本說明書的實施例還提供一種用戶年齡預測方法，包括：確定需要預測用戶年齡的目標帳號；確定其他用戶的通訊錄中保存的所述目標帳號的備註資訊，以及所述其他用戶的年齡；基於所述備註資訊和所述其他用戶的年齡，預測所述目標帳號的用戶的年齡。本說明書的實施例還提供一種用戶年齡預測裝置，包括：第一確定模組，用於確定需要預測用戶年齡的目標手機號碼；第二確定模組，用於確定其他用戶的通訊錄中保存的所述目標手機號碼的備註資訊，以及所述其他用戶的年齡；預測模組，用於基於所述備註資訊和所述其他用戶的年齡，預測所述目標手機號碼的用戶年齡。本說明書的實施例還提供一種用戶年齡預測裝置，包括：第一確定模組，用於確定需要預測用戶年齡的目標帳號；第二確定模組，用於確定其他用戶的通訊錄中保存的所述目標帳號的備註資訊，以及所述其他用戶的年齡；預測模組，用於基於所述備註資訊和所述其他用戶的年齡，預測所述目標帳號的用戶的年齡。本說明書的實施例還提供一種電子設備，包括：處理器；以及被安排成儲存電腦可執行指令的記憶體，所述可執行指令在被執行時使所述處理器執行上述的用戶年齡預測方法的步驟。本說明書的實施例還提供一種電腦可讀儲存媒介，所述電腦可讀儲存媒介上儲存有電腦程式，所述電腦程式被處理器執行上述的用戶年齡預測方法的步驟。本說明書的實施例採用的上述至少一個技術方案能夠達到以下有益效果：通過獲取其他用戶的通訊錄中保存的對無法直接得知用戶年齡的目標手機號碼的備註資訊，以及其他用戶的年齡，並基於備註資訊和其他用戶的年齡，預測出目標手機號碼的用戶年齡。與現有技術中藉由身份認證的方式確定用戶年齡的方案相比，能進一步地預測未進行身份認證的手機號碼的用戶年齡，為業務推廣、行銷等提高全方位的資料支援。The embodiment of this specification provides a method for predicting the age of a user, which is used to predict the age of a user of a mobile phone number that has not been authenticated. The embodiment of this specification also provides a method for predicting the age of a user, including: Determine the target mobile phone number that needs to predict the age of the user; Determine the remarks of the target mobile phone number stored in the address book of other users, and the age of the other users; Based on the remark information and the age of the other users, predict the age of the user of the target mobile phone number. The embodiment of this specification also provides a method for predicting the age of a user, including: Determine the target account that needs to predict the age of the user; Determine the remarks of the target account saved in the address book of other users, and the age of the other users; Predict the age of the user of the target account based on the remark information and the age of the other user. The embodiment of this specification also provides a user age prediction device, including: The first determining module is used to determine the target mobile phone number that needs to predict the age of the user; The second determining module is used to determine the remark information of the target mobile phone number stored in the address book of other users, and the age of the other users; The prediction module is used to predict the user's age of the target mobile phone number based on the remark information and the age of the other users. The embodiment of this specification also provides a user age prediction device, including: The first determination module is used to determine the target account that needs to predict the age of the user; The second determining module is used to determine the remarks of the target account stored in the address book of other users, and the age of the other users; The prediction module is used to predict the age of the user of the target account based on the remark information and the age of the other users. The embodiments of this specification also provide an electronic device, including: Processor; and The memory is arranged to store computer-executable instructions that, when executed, cause the processor to execute the steps of the above-mentioned user age prediction method. The embodiments of the present specification also provide a computer-readable storage medium having a computer program stored on the computer-readable storage medium, and the computer program is executed by a processor to execute the steps of the above-mentioned user age prediction method. The above at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects: By obtaining the remarks of the target mobile phone number whose age cannot be directly known in the address book of other users, and the age of other users, and predicting the user's age of the target mobile number based on the remarks information and the age of other users. Compared with the solution in the prior art that determines the user's age by identity authentication, it can further predict the user's age of a mobile phone number without identity authentication, and improve all-round data support for business promotion and marketing.

為使本申請的目的、技術方案和優點更加清楚，下面將結合本申請具體實施例及相應的附圖對本申請技術方案進行清楚、完整地描述。顯然，所描述的實施例僅是本申請的部分實施例，而不是全部的實施例。基於本申請中的實施例，本領域普通技術人員在沒有做出創造性勞動前提下所獲得的所有其他實施例，都屬於本申請保護的範圍。結合先前技術部分的陳述，行銷、推廣等場景下，一般需要盡可能的覆蓋較多的用戶群體，而且，為了提高效果，還會針對不同年齡段的用戶群體制定較為符合的策略；因此，需要確定盡可能多的用戶的年齡。目前，一般是通過身份認證來確定用戶年齡，對於為通過身份認證的用戶則無法確定其年齡，導致用戶群體的規模無法實現最大化，進而無法達到最優的行銷、推廣等效果。其中，用戶，又稱用戶，是指使用電腦或網路服務的人，通常擁有一個用戶帳號，並以用戶名識別；該用戶帳號可以是手機號碼，也可以是某一用戶端的帳號；用戶端或稱為用戶端，是指與伺服器相對應，為客戶提供本機服務的程式；身份認證也稱為“身份驗證”或“身份鑒別”，是指在電腦及電腦網路系統中確認操作者身份的過程，從而確定該用戶是否具有對某種資源的訪問和使用權限。基於此，本發明提供一種用戶年齡預測方法，其針對無法直接得知用戶年齡的目標手機號碼，通過獲取其他用戶的通訊錄，以從中提取出其他用戶對該目標手機號碼的備註資訊以及其他用戶的年齡，進而可基於備註資訊和其他用戶的年齡，預測出該目標手機號碼的用戶年齡。與現有技術中通過身份認證的方式確定用戶年齡的方案相比，能進一步地預測未進行身份認證的手機號碼的用戶年齡，為業務推廣、行銷等提高全方位的資料支援。其中，通訊錄是指記錄通訊位址的書本，通訊位址包括：姓名、電話號碼、單位電話、行動電話、傳真號、電子郵件等等；備註資訊是指對記錄的其他用戶的解釋說明，包括：通信地址以及對通信地址的解釋說明。下面參見圖1對本發明的應用場景進行示例性說明。該應用場景中包括：伺服器111、用戶設備集合112和資料庫113；其中：用戶設備集合112，包括多個用戶設備，用戶設備上安裝有與伺服器111對應的用戶端，用戶端用於基於用戶授予的許可權，採集用戶設備上的通訊錄並提及給伺服器111；伺服器111，用於接收用戶端上報的手機號碼及其對應的通訊錄並存入資料庫113中；查看資料庫113中未進行身份認證的手機號碼，作為目標手機號碼；查看資料庫113中存有該目標手機號碼的通訊錄中其他用戶對該目標手機號碼的備註資訊，以及其他用戶認證的年齡，並預測目標手機號碼的用戶年齡。其中，用戶設備是指用戶使用的終端設備，可以是PC端，也可以是行動終端；行動終端，或者叫行動通信終端是指可以在移動中使用的電腦設備，廣義的講包括手機、筆記本、平板電腦、POS機甚至包括車載電腦。但是大部分情況下是指手機或者具有多種應用程式功能的智慧手機以及平板電腦。以下結合附圖，詳細說明本申請各實施例提供的技術方案。圖2為本說明書一實施例提供的一種用戶年齡預測方法的流程示意圖，該方法可由圖1中的伺服器111執行，參見圖2，該方法具體可以包括如下步驟：步驟220、確定需要預測用戶年齡的目標手機號碼；其一種實現方式可以為：從資料庫113中選取未進行身份認證的手機號碼。例如：基於用戶授權，讀取用戶的手機號碼，並查看該手機號碼是否綁定有任意一認證的帳號，若是，則可認證的身份資訊直接獲取該手機號碼的用戶的年齡；否則，則無法直接獲取用戶的年齡，並將該手機號碼作為目標手機號碼。步驟240、確定其他用戶的通訊錄中保存的所述目標手機號碼的備註資訊，以及所述其他用戶的年齡；需要說明的是，確定備註資訊的步驟的一種實施方式可以為：獲取存有所述目標手機號碼的手機號碼通訊錄；確定所述手機號碼通訊錄中保存的其他用戶對所述目標手機號碼設置的備註資訊。其中，手機號碼通訊錄是指用戶設備上的存儲手機號碼的通訊錄，例如：手機通訊錄；對目標手機號碼設置的備註資訊是指用戶建立目標手機號碼對應的連絡人時備註的姓名、稱呼、備註名以及描述資訊等，例如：用戶針對某新的手機號碼新建連絡人，並備註姓名、鈴聲等信息。確定備註資訊的步驟的另一種實施方式可以為：確定所述目標手機號碼關聯的至少一個應用程式帳號；獲取存有所述至少一個應用程式帳號的應用程式帳號通訊錄；確定所述應用程式通訊錄中保存的其他用戶對所述至少一個應用程式帳號設置的備註資訊，作為所述目標手機號碼的備註資訊。具體可以示例為：基於用戶授權，以及其他合作方的授權，查看用戶使用該目標手機號碼註冊的一個或多個應用程式帳號，例如：應用程式A的帳號a，應用程式B的帳號b；然後，分別讀取應用程式A的其他用戶和應用程式B的其他用戶的通訊錄，以分別獲取存有帳號a的通訊錄和存有帳號b的通訊錄，並進一步查看應用程式A的其他用戶對帳號a的備註資訊和應用程式B的其他用戶對帳號b的備註資訊，進而統計分析出帳號a和帳號b對應的備註資訊。其中，其他合作方是指應用程式的所有方，例如：應用程式A的所有方，應用程式B的所有方；帳號a和帳號b可以是應用程式所有方提供的帳號，也可以是目標手機號碼本身。可選地，在獲取通訊錄之前或在執行步驟260之前，還包括：篩選通訊錄的步驟，以篩選出保存目標手機號碼的通訊錄且該通訊錄對應的手機號碼已通過身份認證，其一種實施方式可以為：對所述其他用戶的通訊錄進行篩選處理，以篩選出通過身份認證的其他用戶的通訊錄。不難理解的是，其他用戶使用手機號碼註冊應用程式帳號時，可能並未進行身份認證，因此，無法直接獲取這部分其他用戶的年齡，無法為預測目標手機號碼的用戶年齡提供幫助，故可將該部分其他用戶的通訊錄過濾掉，以降低資料處理量。基於此，確定所述其他用戶的年齡的步驟的實施方式可以為：基於身份認證時提供的身份證號、身份證圖像等身份資訊，確定所述通過身份認證的其他用戶的年齡。步驟260、基於所述備註資訊和所述其他用戶的年齡，預測所述目標手機號碼的用戶年齡。其一種實施方式可以為：步驟S1、基於所述備註資訊，預測所述其他用戶和所述目標手機號碼的用戶之間的年齡關係；不難理解的是，備註資訊在一定程度上反應了用戶與用戶之間的年齡關係，例如：其他用戶備註老哥，則可反應目標手機號碼的用戶年齡較大；其他用戶備註老弟，則可反應目標手機號碼的用戶年齡較小。步驟S2、基於所述年齡關係和所述其他用戶的年齡，確定所述目標手機號碼的用戶年齡。其中，備註資訊可以為稱謂備註，相應地，參見圖3，步驟S1-S2的一種實施方式可以為：步驟320、基於所述稱謂備註，確定所述其他用戶和所述目標手機號碼的用戶之間的社會關係；參見圖4，其具體可以示例為：對於目標手機號碼187xxxxxxxx，其可被其他很多用戶保存，而且，基於社會關係的不同，其稱謂備註也不盡相同；對其他用戶設置的稱謂備註進行統計分析，得到備註為‘魏紅苗’266次，記錄(魏紅苗，266，社會關係為無)；備註為‘魏總’73次，記錄(魏總，73，社會關係為無)，備註為‘姐夫’7次，記錄(姐夫，7，社會關係為姐夫和小舅子(小姨子))，備註為‘二叔’6次，記錄(二叔，6，社會關係為叔侄)等等。步驟340、基於所述社會關係，預測所述其他用戶和所述目標手機號碼的用戶之間的年齡關係。步驟360、基於每個其他用戶的年齡，以及，該其他用戶與所述目標手機號碼的用戶之間的年齡關係，確定所述目標手機號碼的用戶年齡；步驟380、對每個其他用戶對應的所述目標手機號碼的用戶年齡進行統計分析，確定所述目標手機號碼的用戶年齡。對於步驟340至步驟380，參見圖5，其具體可以示例為：首先，構建稱謂備註-社會關係-年齡關係之間的對應關係，例如：姐夫-同輩關係-年齡相近，二叔-叔侄關係-年齡增加，或者進一步地確定社會關係對應的加齡權重或減齡權重；然後，基於該對應關係，確定圖4中其他用戶對‘魏紅苗’的各個稱謂備註對應的年齡關係。若是長一輩的稱謂，則確定年齡關係為長一輩加齡權重，取值為平均一代人的年齡差，23歲；若是長兩輩的稱謂，確定年齡關係為長兩輩加齡權重，取值為平均兩代人的年齡差，46歲；若確定晚一輩的稱謂，則確定年齡關係為晚一輩減齡權重，取值為平均一代人的年齡差，23歲；若確定年齡關係為同齡稱謂，則可將目標手機號碼的用戶年齡取值為該其他用戶的年齡，或者，進一步地對同齡稱謂進行細分，包括：對於‘哥’、‘姐’等年長同齡稱謂，確定年齡關係為同輩加齡權重，取值為平均‘哥’、‘姐’的年齡差。最後，基於每個其他用戶的年齡及其對應的加齡權重或減齡權重，計算出基於每個其他用戶預測出的目標手機號碼的用戶年齡；對預測出的每個年齡數值進行平均、加權平均等集成處理，得出最終預測的目標手機號碼的用戶年齡。可見，本實施例在預測目標手機號碼的用戶年齡時，通過獲取其他用戶的通訊錄中保存的對目標手機號碼的備註資訊，以及其他用戶的年齡，並基於備註資訊和其他用戶的年齡，預測出目標手機號碼的用戶年齡。與現有技術中通過身份認證的方式確定用戶年齡的方案相比，能進一步地預測未進行身份認證的手機號碼的用戶年齡，為業務推廣、行銷等提高全方位的資料支援。圖6為本說明書的另一實施例提供的一種用戶年齡預測方法的流程示意圖，該方法可由圖1中的伺服器111執行，參見圖6，該方法具體可以包括如下步驟：步驟620、確定需要預測用戶年齡的目標帳號；其中，目標帳號是指用戶向應用程式的伺服器申請的用於區分於其他用戶訪問伺服器的某種資源的帳號，其可以是數位、字母、字元等的組合，當然有些應用程式的營運商也允許使用手機號碼作為用戶的帳號。另外，營運商一般會要求用戶進行身份認證，以便於應用程式營運，但也允許用戶不進行身份認證，例如：使用遊客登錄的方式；對於已進行身份認證的用戶群體，可通過營運商直接獲取用戶的年齡，而對於未進行身份認證的用戶群體，則需要預測其用戶年齡。步驟640、確定其他用戶的通訊錄中保存的所述目標帳號的備註資訊，以及所述其他用戶的年齡；假設目標帳號為應用程式A的帳號a，則步驟640的實施方式可示例為：確定應用程式A的各用戶的帳號中已進行身份認證的帳號和未進行身份認證的帳號，並將其通訊錄分別存入第一資料庫和第二資料庫；當需要預測第一資料庫中的帳號a的用戶年齡時，從第二資料庫中讀取存有帳號a或與帳號a存在好友關係的其他帳號的通訊錄，並確定通訊錄中保存的對帳號a的備註資訊，以及其他帳號身份認證的年齡。步驟660、基於所述備註資訊和所述其他用戶的年齡，預測所述目標帳號的用戶的年齡。對於步驟660，由於其與圖2對於的實施例中的步驟260相似，且實現方式相近，故，此處不再對步驟660進行贅述。可見，本實施例在預測應用程式的目標帳號的用戶年齡時，通過獲取應用程式的其他帳號對應的通訊錄中保存的對目標帳號的備註資訊，以及其他帳號的年齡，並基於備註資訊和其他帳號的年齡，預測出目標帳號的用戶年齡。與現有技術中通過身份認證的方式確定用戶年齡的方案相比，能進一步地預測未進行身份認證的帳號的用戶年齡，為業務推廣、行銷等提高全方位的資料支援。另外，對於上述方法的實施方式，為了簡單描述，故將其都表述為一系列的動作組合，但是本領域技術人員應該知悉，本發明實施方式並不受所描述的動作順序的限制，因為依據本發明的實施方式，某些步驟可以採用其他順序或者同時進行。其次，本領域技術人員也應該知悉，說明書中所描述的實施方式均屬於較佳實施方式，所涉及的動作並不一定是本發明實施方式所必須的。圖7為本說明書的一實施例供的一種用戶年齡預測裝置的結構示意圖，參見圖7，該裝置具體可以包括：第一確定模組71、第二確定模組72和預測模組73，其中：第一確定模組71，用於確定需要預測用戶年齡的目標手機號碼；第二確定模組72，用於確定其他用戶的通訊錄中保存的所述目標手機號碼的備註資訊，以及所述其他用戶的年齡；預測模組73，用於基於所述備註資訊和所述其他用戶的年齡，預測所述目標手機號碼的用戶年齡。可選地，第一確定模組71，具體用於：確定未進行身份認證的手機號碼，作為目標手機號碼。可選地，第二確定模組72，具體用於：獲取存有所述目標手機號碼的手機號碼通訊錄；確定所述手機號碼通訊錄中保存的其他用戶對所述目標手機號碼設置的備註資訊。可選地，第二確定模組72，具體用於：確定所述目標手機號碼關聯的至少一個應用程式帳號；獲取存有所述至少一個應用程式帳號的應用程式帳號通訊錄；確定所述應用程式通訊錄中保存的其他用戶對所述至少一個應用程式帳號設置的備註資訊，作為所述目標手機號碼的備註資訊。可選地，裝置還包括：篩選模組，用於對所述其他用戶的通訊錄進行篩選處理，以篩選出通過身份認證的其他用戶的通訊錄。可選地，第二確定模組72，具體用於：基於身份認證時提供的身份資訊，確定所述通過身份認證的其他用戶的年齡。可選地，預測模組73，具體用於：基於所述備註資訊，預測所述其他用戶和所述目標手機號碼的用戶之間的年齡關係；基於所述年齡關係和所述其他用戶的年齡，確定所述目標手機號碼的用戶年齡。可選地，所述備註資訊包括：稱謂備註；預測模組73，具體用於：基於所述稱謂備註，確定所述其他用戶和所述目標手機號碼的用戶之間的社會關係；基於所述社會關係，預測所述其他用戶和所述目標手機號碼的用戶之間的年齡關係。可選地，預測模組73，具體用於：基於每個其他用戶的年齡，以及，該其他用戶與所述目標手機號碼的用戶之間的年齡關係，確定所述目標手機號碼的用戶年齡；對每個其他用戶對應的所述目標手機號碼的用戶年齡進行統計分析，確定所述目標手機號碼的用戶年齡。可見，本實施例藉由獲取其他用戶的通訊錄中保存的對無法直接得知用戶年齡的目標手機號碼的備註資訊，以及其他用戶的年齡，並基於備註資訊和其他用戶的年齡，預測出目標手機號碼的用戶年齡。與現有技術中通過身份認證的方式確定用戶年齡的方案相比，能進一步地預測未進行身份認證的手機號碼的用戶年齡，為業務推廣、行銷等提高全方位的資料支援。圖8為本說明書的另一實施例提供的一種用戶年齡預測裝置的結構示意圖，參見圖8，該裝置具體可以包括：第一確定模組81、第二確定模組82和預測模組83，其中：第一確定模組81，用於確定需要預測用戶年齡的目標帳號；第二確定模組82，用於確定其他用戶的通訊錄中保存的所述目標帳號的備註資訊，以及所述其他用戶的年齡；預測模組83，用於基於所述備註資訊和所述其他用戶的年齡，預測所述目標帳號的用戶的年齡。可選地，第一確定模組81，具體用於：確定未進行身份認證的帳號，作為目標帳號。可選地，第二確定模組82，具體用於：獲取存有所述目標帳號的應用程式通訊錄；確定所述應用程式通訊錄中保存的其他用戶對所述目標帳號設置的備註資訊。可選地，該裝置還包括：篩選模組，用於對所述其他用戶的應用程式通訊錄進行篩選處理，以篩選出通過身份認證的其他用戶的應用程式通訊錄。可選地，第二確定模組82，具體用於：基於身份認證時提供的身份資訊，確定所述通過身份認證的其他用戶的年齡。可選地，預測模組83，具體用於：基於所述備註資訊，預測所述其他用戶和所述目標帳號的用戶之間的年齡關係；基於所述年齡關係和所述其他用戶的年齡，確定所述目標帳號的用戶年齡。可選地，所述備註資訊包括：稱謂備註；其中，預測模組83，具體用於：基於所述稱謂備註，確定所述其他用戶和所述目標帳號的用戶之間的社會關係；基於所述社會關係，預測所述其他用戶和所述目標帳號的用戶之間的年齡關係。可選地，預測模組83，具體用於：基於每個其他用戶的年齡，以及，該其他用戶與所述目標帳號的用戶之間的年齡關係，確定所述目標帳號的用戶年齡；對每個其他用戶對應的所述目標帳號的用戶年齡進行統計分析，確定所述目標帳號的用戶年齡。可見，本實施例在預測應用程式的目標帳號的用戶年齡時，通過獲取應用程式的其他帳號對應的通訊錄中保存的對目標帳號的備註資訊，以及其他帳號的年齡，並基於備註資訊和其他帳號的年齡，預測出目標帳號的用戶年齡。與現有技術中通過身份認證的方式確定用戶年齡的方案相比，能進一步地預測未進行身份認證的帳號的用戶年齡，為業務推廣、行銷等提高全方位的資料支援。另外，對於上述裝置的實施方式而言，由於其與方法實施方式基本相似，所以描述的比較簡單，相關之處參見方法的實施方式的部分說明即可。應當注意的是，在本發明的裝置的各個部件中，根據其要實現的功能而對其中的部件進行了邏輯劃分，但是，本發明不受限於此，可以根據需要對各個部件進行重新劃分或者組合。圖9為本說明書的一實施例提供的一種電子設備的結構示意圖，參見圖9，該電子設備包括處理器、內部匯流排、網路介面、記憶體以及非揮發性記憶體，當然還可能包括其他業務所需要的硬體。處理器從非揮發性記憶體中讀取對應的電腦程式到記憶體中然後運行，在邏輯層面上形成用戶年齡預測裝置裝置。當然，除了軟體實施方式之外，本申請並不排除其他實施方式，比如邏輯器件抑或軟硬體結合的方式等等，也就是說以下處理流程的執行主體並不限定於各個邏輯單元，也可以是硬體或邏輯器件。網路介面、處理器和記憶體可以通過匯流排系統相互連接。匯流排可以是ISA(Industry Standard Architecture，工業標準架構)匯流排、PCI(Peripheral Component Interconnect，周邊組件互連標準)匯流排或EISA(Extended Industry Standard Architecture，延伸工業標準架構)匯流排等。所述匯流排可以分為位址匯流排、資料匯流排、控制匯流排等。為便於表示，圖9中僅用一個雙向箭頭表示，但並不表示僅有一根匯流排或一種類型的匯流排。記憶體用於存放程式。具體地，程式可以包括程式碼，所述程式碼包括電腦操作指令。記憶體可以包括唯讀記憶體和隨機存取記憶體，並向處理器提供指令和資料。記憶體可能包含高速隨機存取記憶體(Random-Access Memory, RAM)，也可能還包括非揮發性記憶體(non-volatile memory)，例如至少1個磁碟記憶體。處理器，用於執行所述記憶體存放的程式，並具體執行：確定需要預測用戶年齡的目標手機號碼；確定其他用戶的通訊錄中保存的所述目標手機號碼的備註資訊，以及所述其他用戶的年齡；基於所述備註資訊和所述其他用戶的年齡，預測所述目標手機號碼的用戶年齡。或者，確定需要預測用戶年齡的目標帳號；確定其他用戶的通訊錄中保存的所述目標帳號的備註資訊，以及所述其他用戶的年齡；基於所述備註資訊和所述其他用戶的年齡，預測所述目標帳號的用戶的年齡。上述如本申請圖7-8所示實施例揭示的用戶年齡預測裝置或管理者(Master)節點執行的方法可以應用程式於處理器中，或者由處理器實施。處理器可能是一種積體電路晶片，具有信號的處理能力。在實施過程中，上述方法的各步驟可以藉由處理器中的硬體的集成邏輯電路或者軟體形式的指令完成。上述的處理器可以是通用處理器，包括中央處理器(Central Processing Unit, CPU)、網路處理器(Network Processor, NP)等；還可以是數位訊號處理器(Digital Signal Processor, DSP)、特定應用積體電路(Application Specific Integrated Circuit, ASIC)、現場可程式閘陣列(Field-Programmable Gate Array, FPGA)或者其他可程式邏輯器、個別門或者電晶體邏輯器、個別硬體元件。可以實現施者執行本申請的實施例中的公開的各方法、步驟及邏輯方塊圖。通用處理器可以是微處理器或者該處理器也可以是任何常規的處理器等。結合本申請的實施例所公開的方法的步驟可以直接體現為硬體解碼處理器執行完成，或者用解碼處理器中的硬體及軟體模組組合執行完成。軟體模組可以位於隨機記憶體，快閃記憶體、唯讀記憶體，可程式設計唯讀記憶體或者電可讀寫可程式記憶體、暫存器等本領域成熟的儲存媒介中。該儲存媒介位於記憶體，處理器讀取記憶體中的資訊，結合其硬體完成上述方法的步驟。用戶年齡預測裝置還可執行圖2-3，5-6的方法，並實現管理者節點執行的方法。基於相同的發明創造，本申請的實施例還提供了一種電腦可讀儲存媒介，所述電腦可讀儲存媒介存儲一個或多個程式，所述一個或多個程式當被包括多個應用程式程式的電子設備執行時，使得所述電子設備執行圖2-3，5-6對應的實施例提供的用戶年齡預測方法。本說明書中的各個實施例均採用遞進的方式描述，各個實施例之間相同相似的部分互相參見即可，每個實施例重點說明的都是與其他實施例的不同之處。尤其是，對於系統實施例而言，由於其基本相似於方法實施例，所以描述的比較簡單，相關之處參見方法實施例的部分說明即可。上述對本說明書的特定實施例進行了描述。其它實施例在所附申請專利範圍的範圍內。在一些情況下，在申請專利範圍中記載的動作或步驟可以按照不同於實施例中的順序來執行並且仍然可以實現期望的結果。另外，在附圖中描繪的過程不一定要求示出的特定順序或者連續順序才能實現期望的結果。在某些實施方式中，多工處理和並行處理也是可以的或者可能是有利的。本領域內的技術人員應明白，本發明的實施例可提供為方法、系統、或電腦程式產品。因此，本發明可採用完全硬體實施例、完全軟體實施例、或結合軟體和硬體方面的實施例的形式。而且，本發明可採用在一個或多個其中包含有電腦可用程式碼的電腦可用儲存媒介(包括但不限於磁碟記憶體、CD-ROM、光學記憶體等)上實施的電腦程式產品的形式。本發明是參照根據本發明實施例的方法、設備(系統)、和電腦程式產品的流程圖和／或方塊圖來描述的。應理解可由電腦程式指令實施流程圖和／或方框圖中的每一流程和／或方塊、以及流程圖和／或方塊圖中的流程和／或方塊的結合。可提供這些電腦程式指令到通用電腦、專用電腦、嵌入式處理機或其他可程式的資料處理設備的處理器以產生一個機器，使得藉由電腦或其他可程式的資料處理設備的處理器執行的指令產生用於實施在流程圖一個流程或多個流程和／或方塊圖一個方塊或多個方塊中指定的功能的裝置。這些電腦程式指令也可儲存在能引導電腦或其他可程式的資料處理設備以特定方式工作的電腦可讀記憶體中，使得儲存在該電腦可讀記憶體中的指令產生包括指令裝置的製造品，該指令裝置實施在流程圖一個流程或多個流程和／或方塊圖一個方塊或多個方塊中指定的功能。這些電腦程式指令也可載入到電腦或其他可程式的資料處理設備上，使得在電腦或其他可程式的設備上執行一系列操作步驟以產生電腦實施的處理，從而在電腦或其他可程式的設備上執行的指令提供用於實施在流程圖一個流程或多個流程和／或方塊圖一個方塊或多個方塊中指定的功能的步驟。在一個典型的配置中，計算設備包括一個或多個處理器(CPU)、輸入/輸出介面、網路介面和記憶體。記憶體可能包括電腦可讀媒介中的非永久性記憶體，隨機存取記憶體(RAM)和/或非揮發性記憶體等形式，如唯讀記憶體(ROM)或快閃記憶體(flash RAM)。記憶體是電腦可讀媒介的示例。電腦可讀媒介包括永久性和非永久性、可移動和非可移動媒體可以由任何方法或技術來實現資訊儲存。資訊可以是電腦可讀指令、資料結構、程式的模組或其他資料。電腦的儲存媒介的例子包括，但不限於相變記憶體(PRAM)、靜態隨機存取記憶體(SRAM)、動態隨機存取記憶體(DRAM)、其他類型的隨機存取記憶體(RAM)、唯讀記憶體(ROM)、電可抹除可程式唯讀記憶體(EEPROM)、快閃記憶體或其他記憶體技術、唯讀光碟唯讀記憶體(CD-ROM)、數位多功能光碟(DVD)或其他光學儲存、磁盒式磁帶，磁帶磁磁片儲存或其他磁性存放裝置或任何其他非傳輸媒介，可用於儲存可以被計算設備存取的資訊。按照本文中的界定，電腦可讀媒介不包括暫存電腦可讀媒體(transitory media)，如調變的資料信號和載波。還需要說明的是，術語“包括”、“包含”或者其任何其他變體意在涵蓋非排他性的包含，從而使得包括一系列要素的過程、方法、商品或者設備不僅包括那些要素，而且還包括沒有明確列出的其他要素，或者是還包括為這種過程、方法、商品或者設備所固有的要素。在沒有更多限制的情況下，由語句“包括一個……”限定的要素，並不排除在包括所述要素的過程、方法、商品或者設備中還存在另外的相同要素。本領域技術人員應明白，本申請的實施例可提供為方法、系統或電腦程式產品。因此，本申請可採用完全硬體實施例、完全軟體實施例或結合軟體和硬體方面的實施例的形式。而且，本申請可採用在一個或多個其中包含有電腦可用程式碼的電腦可用存儲媒介(包括但不限於磁碟記憶體、CD-ROM、光學記憶體等)上實施的電腦程式產品的形式。以上所述僅為本申請的實施例而已，並不用於限制本申請。對於本領域技術人員來說，本申請可以有各種更改和變化。凡在本申請的精神和原理之內所作的任何修改、等同替換、改進等，均應包含在本申請的申請專利範圍的範圍之內。In order to make the purpose, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely in conjunction with specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application. Combined with the statements in the previous technical section, in marketing, promotion and other scenarios, it is generally necessary to cover as many user groups as possible. In addition, in order to improve the effect, more suitable strategies will be formulated for user groups of different ages; therefore, it is necessary Determine the age of as many users as possible. At present, the age of a user is generally determined through identity authentication. For users who have passed the identity authentication, their age cannot be determined. As a result, the scale of the user group cannot be maximized, and the optimal marketing and promotion effects cannot be achieved. Among them, a user, also known as a user, refers to a person who uses a computer or network service, usually has a user account, and is identified by a user name; the user account can be a mobile phone number or an account of a certain client; the client Or called the client, it refers to the program that corresponds to the server and provides local services to customers; identity authentication is also called "identity verification" or "identity authentication", which refers to confirming operations on computers and computer network systems The process of the identity of the user to determine whether the user has access and use rights to a certain resource. Based on this, the present invention provides a method for predicting the age of a user. For a target mobile phone number whose age cannot be directly known, the address book of other users is obtained to extract other users’ remarks on the target mobile phone number and other users. The age of the target mobile phone number can be predicted based on the remark information and the age of other users. Compared with the solution in the prior art that determines the user's age through identity authentication, it can further predict the user's age of a mobile phone number that has not been authenticated, and improve all-round data support for business promotion and marketing. Among them, the address book refers to the book that records the communication address. The communication address includes: name, telephone number, unit phone, mobile phone, fax number, email, etc.; remarks refer to the explanation of other users recorded , Including: communication address and explanation of the communication address. The application scenario of the present invention will be exemplified below with reference to FIG. 1. The application scenario includes: server 111, user equipment collection 112, and database 113; among them: The user equipment set 112 includes multiple user equipments. The user equipment corresponding to the server 111 is installed on the user equipment. The user equipment is used to collect the address book on the user equipment based on the permission granted by the user and refer to the server 111 ； The server 111 is used to receive the mobile phone number and its corresponding address book reported by the client and store it in the database 113; view the mobile phone number in the database 113 that has not been authenticated as the target mobile phone number; view the database 113 Remarks of other users in the address book of the target mobile phone number stored in the address book of the target mobile phone number, as well as the age of authentication of other users, and predict the age of the user of the target mobile phone number. Among them, user equipment refers to the terminal equipment used by the user, which can be a PC or a mobile terminal; a mobile terminal, or mobile communication terminal, refers to a computer device that can be used on the move. Broadly speaking, it includes mobile phones, notebooks, Tablet computers, POS machines and even vehicle-mounted computers. But in most cases it refers to mobile phones or smart phones and tablets with multiple application functions. The technical solutions provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings. 2 is a schematic flowchart of a method for predicting user age according to an embodiment of this specification. The method may be executed by the server 111 in FIG. 1. Referring to FIG. 2, the method may specifically include the following steps: Step 220: Determine the target mobile phone number that needs to predict the age of the user; one of its implementation methods may be: A mobile phone number that has not been authenticated is selected from the database 113. For example: Based on user authorization, read the user's mobile phone number and check whether the mobile phone number is bound to any authenticated account. If so, the authenticated identity information can directly obtain the age of the user of the mobile phone number; otherwise, no Obtain the age of the user directly and use the mobile number as the target mobile number. Step 240: Determine the remark information of the target mobile phone number stored in the address book of the other user, and the age of the other user; It should be noted that an implementation manner of the step of determining the remark information can be: Obtain a mobile phone number address book that stores the target mobile phone number; determine the remark information set by other users on the target mobile phone number stored in the mobile phone number address book. Among them, the mobile phone number address book refers to the address book that stores the mobile phone number on the user's device, such as the mobile phone address book; the remark information set for the target mobile phone number refers to the name and title that the user remarks when creating a contact corresponding to the target mobile phone number , Remarks name and descriptive information, for example: the user creates a new contact for a new mobile phone number, and remarks information such as name and ringtone. Another implementation of the step of determining the remark information can be: Determine at least one application account associated with the target mobile phone number; obtain an application account address book that stores the at least one application account; determine that other users stored in the application address list have an interest in the at least one application The remark information set by the account is used as the remark information of the target mobile phone number. Specific examples are: Based on user authorization and authorization from other partners, check one or more application accounts registered by the user with the target mobile phone number, for example: account a of application A, account b of application B; then read the applications separately The address books of other users of application A and other users of application B to obtain the address book with account a and the address book with account b respectively, and further check the remarks of other users of application A on account a And other users of application B’s remarks on account b, and then statistically analyze the remarks information corresponding to account a and account b. Among them, other partners refer to the owners of the application, for example: the owner of the application A, the owner of the application B; account a and account b can be the account provided by the owner of the application, or the target mobile phone number itself. Optionally, before obtaining the address book or before performing step 260, the method further includes: a step of screening the address book to filter out the address book that saves the target mobile phone number and the mobile phone number corresponding to the address book has passed identity authentication, one of The implementation can be: Screening processing is performed on the address books of the other users to filter out the address books of other users who have passed the identity authentication. It is not difficult to understand that other users may not have been authenticated when registering an application account with their mobile phone number. Therefore, the age of these other users cannot be obtained directly, and it is impossible to provide help for predicting the age of the user of the target mobile phone number. Filter out the address book of this part of other users to reduce the amount of data processing. Based on this, the implementation of the step of determining the age of the other user may be: Based on the identity information such as the ID card number and ID card image provided during identity authentication, the age of the other users who have passed the identity authentication is determined. Step 260: Predict the user's age of the target mobile phone number based on the remark information and the age of the other users. An implementation manner can be: Step S1: Predict the age relationship between the other users and the user of the target mobile phone number based on the remark information; It is not difficult to understand that the remark information reflects the age relationship between the user and the user to a certain extent. For example, if other users remark the old brother, it can reflect that the user with the target mobile phone number is older; other users can remark the old brother. The users who respond to the target mobile number are younger. Step S2: Determine the user age of the target mobile phone number based on the age relationship and the age of the other users. Wherein, the remark information can be a title remark. Correspondingly, referring to FIG. 3, an implementation manner of steps S1-S2 can be: Step 320: Determine the social relationship between the other user and the user of the target mobile phone number based on the title note; see Figure 4, which can be specifically illustrated as follows: For the target mobile phone number 187xxxxxxxx, it can be saved by many other users, and based on different social relations, its appellation remarks are not the same; statistical analysis of appellation remarks set by other users, and the remark is'Wei Hongmiao'266 Times, record (Wei Hongmiao, 266, social relationship is none); remarks as'General Wei' 73 times, record (General Wei, 73, social relationship is none), remarks as'Brother-in-law’ 7 times, record (Brother-in-law, 7. The social relationship is brother-in-law and brother-in-law (little sister-in-law)), remarked as'second uncle' 6 times, record (second uncle, 6, social relationship is uncle and nephew) and so on. Step 340: Predict the age relationship between the other users and the user of the target mobile phone number based on the social relationship. Step 360: Determine the user age of the target mobile phone number based on the age of each other user and the age relationship between the other user and the user of the target mobile phone number; Step 380: Perform statistical analysis on the user age of the target mobile phone number corresponding to each other user, and determine the user age of the target mobile phone number. For steps 340 to 380, refer to FIG. 5, which can be specifically illustrated as follows: First, construct the corresponding relationship between appellation notes-social relationship-age relationship, for example: brother-in-law-peer relationship-close age, second uncle-uncle-nephew relationship-age increase, or further determine the corresponding age weight or decrease of social relationship Age weight Then, based on the corresponding relationship, the age relationship corresponding to each appellation note of "Wei Hongmiao" in FIG. 4 is determined. If it is the title of the elder generation, determine the age relationship as the elder generation plus age weight, and the value is the age difference of the average generation, 23 years old; if it is the title of the elder generation, determine the age relationship as the elder generation plus age weight, The value is the average age difference between two generations, 46 years old; if the title of the younger generation is determined, the age relationship is determined as the younger generation weight reduction, and the value is the average age difference of the generation, 23 years old; if the age is determined If the relationship is the same age appellation, the user’s age of the target mobile phone number can be taken as the age of the other user, or the appellation of the same age can be further subdivided, including: for the appellations of the same age such as "brother" and "sister", confirm The age relationship is the weight of peers plus age, and the value is the average age difference between'brother' and'sister'. Finally, based on the age of each other user and its corresponding age-increasing weight or age-reduction weight, calculate the user age based on the target mobile phone number predicted by each other user; average and weight each predicted age value The average and other integrated processing are used to obtain the final predicted user age of the target mobile phone number. It can be seen that when predicting the age of the user of the target mobile phone number, this embodiment obtains the remarks of the target mobile number saved in the address book of other users and the ages of other users, and predicts based on the remarks information and the ages of other users The age of the user of the target mobile phone number. Compared with the solution in the prior art that determines the user's age through identity authentication, it can further predict the user's age of a mobile phone number that has not been authenticated, and improve all-round data support for business promotion and marketing. FIG. 6 is a schematic flowchart of a method for predicting user age according to another embodiment of this specification. The method can be executed by the server 111 in FIG. 1. Referring to FIG. 6, the method may specifically include the following steps: Step 620: Determine the target account that needs to predict the age of the user; Among them, the target account refers to the account that the user applies to the server of the application to distinguish a certain resource of the server from other users. It can be a combination of numbers, letters, characters, etc. Of course, some applications operate Businesses also allow the use of mobile phone numbers as user accounts. In addition, operators generally require users to perform identity authentication to facilitate the operation of the application, but they also allow users not to perform identity authentication, for example: using tourist login; for user groups that have been authenticated, they can be directly obtained through the operator The age of the user, and for the user group that has not been authenticated, the age of the user needs to be predicted. Step 640: Determine the remarks of the target account saved in the address book of other users, and the age of the other user; assuming that the target account is account a of application A, the implementation of step 640 can be exemplified as follows: Determine the account that has been authenticated and the account that has not been authenticated among the accounts of each user of application A, and store their address books in the first database and the second database respectively; when it is necessary to predict in the first database When the age of the user of account a, read the address book of account a or other accounts that have a friend relationship with account a from the second database, and determine the remarks to account a saved in the address book, and other The age of account authentication. Step 660: Predict the age of the user of the target account based on the remark information and the age of the other user. For step 660, since it is similar to step 260 in the embodiment of FIG. 2 and the implementation manner is similar, step 660 will not be repeated here. It can be seen that, when predicting the age of the user of the target account of the application, this embodiment obtains the remarks of the target account saved in the address book corresponding to other accounts of the application, and the age of other accounts, and is based on the remarks and other accounts. The age of the account predicts the age of the user of the target account. Compared with the solution in the prior art for determining the user's age through identity authentication, it can further predict the user's age of an account that has not been authenticated, and improve all-round data support for business promotion and marketing. In addition, for the implementation of the above methods, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the implementation of the present invention is not limited by the described sequence of actions, because In the embodiment of the present invention, some steps may be performed in other order or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention. FIG. 7 is a schematic structural diagram of a user age prediction device provided by an embodiment of this specification. Referring to FIG. 7, the device may specifically include: a first determination module 71, a second determination module 72, and a prediction module 73, wherein : The first determining module 71 is used to determine the target mobile phone number that needs to predict the age of the user; The second determining module 72 is used to determine the remark information of the target mobile phone number stored in the address book of other users, and the age of the other users; The prediction module 73 is configured to predict the user's age of the target mobile phone number based on the remark information and the age of the other users. Optionally, the first determining module 71 is specifically used for: Determine the mobile phone number that has not been authenticated as the target mobile phone number. Optionally, the second determining module 72 is specifically used for: Obtain a mobile phone number address book that stores the target mobile phone number; determine the remark information set by other users on the target mobile phone number stored in the mobile phone number address book. Optionally, the second determining module 72 is specifically used for: Determine at least one application account associated with the target mobile phone number; obtain an application account address book that stores the at least one application account; determine that other users stored in the application address list have an interest in the at least one application The remark information set by the account is used as the remark information of the target mobile phone number. Optionally, the device further includes: The screening module is used for screening the address books of the other users to filter out the address books of other users who have passed the identity authentication. Optionally, the second determining module 72 is specifically used for: Based on the identity information provided during identity authentication, the age of the other users who pass the identity authentication is determined. Optionally, the prediction module 73 is specifically used for: Based on the remark information, predict the age relationship between the other users and the user of the target mobile phone number; and determine the user age of the target mobile phone number based on the age relationship and the age of the other users. Optionally, the remark information includes: appellation remarks; the prediction module 73 is specifically used for: Based on the appellation note, determine the social relationship between the other users and the user of the target mobile phone number; based on the social relationship, predict the age relationship between the other users and the user of the target mobile phone number. Optionally, the prediction module 73 is specifically used for: Determine the user age of the target mobile phone number based on the age of each other user and the age relationship between the other user and the user of the target mobile phone number; determine the user age of the target mobile phone number corresponding to each other user The age of the user is statistically analyzed to determine the age of the user of the target mobile phone number. It can be seen that this embodiment obtains the remarks information stored in the address book of other users for the target mobile phone number whose age cannot be directly known, and the ages of other users, and predicts the target based on the remarks information and the ages of other users The age of the user of the mobile number. Compared with the solution in the prior art that determines the user's age through identity authentication, it can further predict the user's age of a mobile phone number that has not been authenticated, and improve all-round data support for business promotion and marketing. FIG. 8 is a schematic structural diagram of a user age prediction device provided by another embodiment of this specification. Referring to FIG. 8, the device may specifically include: a first determination module 81, a second determination module 82, and a prediction module 83, among them: The first determining module 81 is used to determine the target account that needs to predict the age of the user; The second determining module 82 is used to determine the remarks of the target account stored in the address book of other users, and the age of the other users; The prediction module 83 is configured to predict the age of the user of the target account based on the remark information and the age of the other users. Optionally, the first determining module 81 is specifically used for: Determine the account that has not been authenticated as the target account. Optionally, the second determining module 82 is specifically used for: Obtain the application address book that stores the target account; determine the remark information set by other users on the target account saved in the application address book. Optionally, the device further includes: The screening module is used for screening the application address books of other users, so as to filter out the application address books of other users who have passed the identity authentication. Optionally, the second determining module 82 is specifically used for: Based on the identity information provided during identity authentication, the age of the other users who pass the identity authentication is determined. Optionally, the prediction module 83 is specifically used for: Based on the remark information, predict the age relationship between the other users and the user of the target account; determine the user age of the target account based on the age relationship and the age of the other users. Optionally, the remark information includes: appellation remarks; wherein, the prediction module 83 is specifically used for: Determine the social relationship between the other users and the user of the target account based on the name remarks; predict the age relationship between the other users and the user of the target account based on the social relationship. Optionally, the prediction module 83 is specifically used for: Determine the user age of the target account based on the age of each other user and the age relationship between the other user and the user of the target account; determine the user age of the target account corresponding to each other user Statistical analysis to determine the age of the user of the target account. It can be seen that, when predicting the age of the user of the target account of the application, this embodiment obtains the remarks of the target account saved in the address book corresponding to other accounts of the application, and the age of other accounts, and is based on the remarks and other accounts. The age of the account predicts the age of the user of the target account. Compared with the solution in the prior art for determining the user's age through identity authentication, it can further predict the user's age of an account that has not been authenticated, and improve all-round data support for business promotion and marketing. In addition, as for the implementation of the above device, since it is basically similar to the implementation of the method, the description is relatively simple, and for related parts, please refer to the part of the description of the implementation of the method. It should be noted that in the various components of the device of the present invention, the components are logically divided according to the functions to be realized. However, the present invention is not limited to this, and each component can be re-divided as needed. Or combination. FIG. 9 is a schematic structural diagram of an electronic device provided by an embodiment of this specification. Referring to FIG. 9, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Of course, it may also include Hardware required by other businesses. The processor reads the corresponding computer program from the non-volatile memory to the memory and then runs it to form a user age prediction device on the logical level. Of course, in addition to the software implementation, this application does not exclude other implementations, such as logic devices or a combination of software and hardware, etc. That is to say, the execution body of the following processing flow is not limited to each logic unit, and can also Is a hardware or logic device. The network interface, processor, and memory can be connected to each other through a bus system. The bus bar may be an ISA (Industry Standard Architecture) bus, PCI (Peripheral Component Interconnect) bus, or EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of presentation, only one double-headed arrow is used in FIG. 9, but it does not mean that there is only one busbar or one type of busbar. The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include read-only memory and random access memory, and provides instructions and data to the processor. The memory may include a high-speed random-access memory (Random-Access Memory, RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor is used to execute the program stored in the memory, and specifically execute: Determine the target mobile phone number that needs to predict the age of the user; Determine the remarks of the target mobile phone number stored in the address book of other users, and the age of the other users; Based on the remark information and the age of the other users, predict the age of the user of the target mobile phone number. or, Determine the target account that needs to predict the age of the user; Determine the remarks of the target account saved in the address book of other users, and the age of the other users; Predict the age of the user of the target account based on the remark information and the age of the other user. The above-mentioned user age prediction device or the method executed by the master node disclosed in the embodiments shown in FIGS. 7-8 of this application can be applied to the processor or implemented by the processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, the steps of the above method can be completed by hardware integrated logic circuits in the processor or instructions in the form of software. The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (Network Processor, NP), etc.; it may also be a digital signal processor (DSP), a specific Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic, individual gate or transistor logic, individual hardware components. The donor can implement the methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field, such as random memory, flash memory, read-only memory, programmable read-only memory, or electrically readable and writable programmable memory, register. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware. The user age prediction device can also execute the methods shown in Figures 2-3 and 5-6, and implement the method executed by the manager node. Based on the same invention, an embodiment of the present application also provides a computer-readable storage medium that stores one or more programs, and the one or more programs include multiple application programs When executed by the electronic device, the electronic device is caused to execute the user age prediction method provided in the embodiments corresponding to FIGS. 2-3 and 5-6. The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the part of the description of the method embodiment. The foregoing describes specific embodiments of this specification. Other embodiments are within the scope of the attached patent application. In some cases, the actions or steps described in the scope of the patent application may be performed in a different order from the embodiment and still achieve desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired result. In some embodiments, multiplexing and parallel processing are also possible or may be advantageous. Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware. Moreover, the present invention can be in the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program codes. . The present invention is described with reference to flowcharts and/or block diagrams of methods, equipment (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing equipment to produce a machine that can be executed by the processor of the computer or other programmable data processing equipment The instruction generates a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram. These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including the instruction device , The instruction device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram. These computer program instructions can also be loaded into a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to generate computer-implemented processing, so that the computer or other programmable data processing equipment The instructions executed on the device provide steps for implementing functions specified in a flow or multiple flows in the flowchart and/or a block or multiple blocks in the block diagram. In a typical configuration, the computing device includes one or more processors (CPU), input/output interfaces, network interfaces, and memory. Memory may include non-permanent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer readable media. Computer-readable media includes permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital multi-function disc (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves. It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, product or equipment including a series of elements not only includes those elements, but also includes Other elements that are not explicitly listed, or include elements inherent to this process, method, commodity, or equipment. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, commodity, or equipment that includes the element. Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems or computer program products. Therefore, this application may adopt the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware. Moreover, this application may be in the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program codes. . The above descriptions are only examples of this application and are not used to limit this application. For those skilled in the art, this application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the scope of the patent application of this application.

111:伺服器 112:用戶設備集合 113:資料庫 71:第一確定模組 72:第二確定模組 73:預測模組 81:第一確定模組 82:第二確定模組 83:預測模組111: Server 112: user equipment collection 113: Database 71: The first confirmation module 72: Second Confirmation Module 73: Prediction Module 81: The first determination module 82: Second Confirmation Module 83: Prediction Module

此處所說明的附圖用來提供對本申請的進一步理解，構成本申請的一部分，本申請的示意性實施例及其說明用於解釋本申請，並不構成對本申請的不當限定。在附圖中：圖1為本說明書提供的一種應用程式場景的示意圖；圖2為本說明書的一實施例提供的一種用戶年齡預測方法的流程示意圖；圖3為本說明書的一實施例提供的步驟260的一種實施方式的流程示意圖；圖4為本說明書的一實施例提供的備註資訊統計分析結果的示意圖；圖5為本說明書的一實施例提供的基於稱謂備註的年齡預測步驟的流程示意圖；圖6為本說明書的另一實施例提供的一種用戶年齡預測方法的流程示意圖；圖7為本說明書的一實施例供的一種用戶年齡預測裝置的結構示意圖；圖8為本說明書的另一實施例提供的一種用戶年齡預測裝置的結構示意圖；圖9為本說明書的一實施例提供的一種電子設備的結構示意圖。The drawings described here are used to provide a further understanding of the application and constitute a part of the application. The exemplary embodiments and descriptions of the application are used to explain the application and do not constitute an improper limitation of the application. In the attached picture: Figure 1 is a schematic diagram of an application scenario provided in this manual; 2 is a schematic flowchart of a method for predicting the age of a user according to an embodiment of this specification; FIG. 3 is a schematic flowchart of an implementation manner of step 260 according to an embodiment of this specification; FIG. 4 is a schematic diagram of a statistical analysis result of remark information provided by an embodiment of this specification; FIG. 5 is a schematic flowchart of the age prediction step based on appellation notes according to an embodiment of this specification; 6 is a schematic flowchart of a method for predicting the age of a user according to another embodiment of this specification; FIG. 7 is a schematic structural diagram of a device for predicting user age according to an embodiment of this specification; FIG. 8 is a schematic structural diagram of a user age prediction apparatus provided by another embodiment of this specification; FIG. 9 is a schematic structural diagram of an electronic device provided by an embodiment of this specification.

111:伺服器 111: Server

112:用戶設備集合 112: user equipment collection

113:資料庫 113: Database

Claims

A method for predicting the age of users, including: Determine the target mobile phone number that needs to predict the age of the user; Determine the remarks of the target mobile phone number and the age of the other user stored in the address book of other users; Based on the remark information and the age of the other users, predict the age of the user of the target mobile phone number.

The method described in item 1 of the scope of patent application, wherein the determining the target mobile phone number that needs to predict the age of the user includes: Determine the mobile phone number that has not been authenticated as the target mobile phone number.

The method described in item 1 of the scope of patent application, wherein the determining the remark information of the target mobile phone number stored in the address book of other users includes: Obtain a mobile phone number address book that stores the target mobile phone number; Determine the remark information set by other users on the target mobile phone number stored in the mobile phone number address book.

The method described in item 1 of the scope of patent application, wherein the determining the remark information of the target mobile phone number stored in the address book of other users includes: Determine at least one application account associated with the target mobile phone number; Acquiring the application account address book storing the at least one application account; It is determined that the remark information set by other users on the at least one application program account saved in the application program address book is used as the remark information of the target mobile phone number.

For example, the method described in item 3 or 4 of the scope of patent application, wherein, before the determining the remark information of the target mobile phone number stored in the address book of other users, it further includes: Screening processing is performed on the address books of the other users to filter out the address books of other users who have passed the identity authentication.

The method described in item 5 of the scope of patent application, wherein determining the age of the other user includes: Based on the identity information provided during identity authentication, the age of the other users who pass the identity authentication is determined.

The method according to the first item of the scope of patent application, wherein the predicting the age of the user of the target mobile phone number based on the remark information and the age of the other user includes: Based on the remark information, predict the age relationship between the other users and the user of the target mobile phone number; The age of the user of the target mobile phone number is determined based on the age relationship and the age of the other users.

Such as the method described in item 7 of the scope of patent application, wherein the remark information includes: title remarks; Wherein, based on the remark information, predicting the age relationship between the other users and the user of the target mobile phone number includes: Determine the social relationship between the other user and the user of the target mobile phone number based on the title note; Based on the social relationship, predict the age relationship between the other users and the user of the target mobile phone number.

The method according to item 7 of the scope of patent application, wherein the determining the user age of the target mobile phone number based on the age relationship and the age of the other users includes: Determine the age of the user of the target mobile phone number based on the age of each other user and the age relationship between the other user and the user of the target mobile phone number; Perform statistical analysis on the user age of the target mobile phone number corresponding to each other user, and determine the user age of the target mobile phone number.

A method for predicting the age of users, including: Determine the target account that needs to predict the age of the user; Determine the remarks of the target account saved in the address book of other users and the age of the other users; Predict the age of the user of the target account based on the remark information and the age of the other user.

A user age prediction device, including: The first determining module is used to determine the target mobile phone number that needs to predict the age of the user; The second determining module is used to determine the remark information of the target mobile phone number stored in the address book of other users, and the age of the other users; The prediction module is used to predict the user's age of the target mobile phone number based on the remark information and the age of the other users.

As the device described in item 11 of the scope of patent application, the second determining module is specifically used for: Determine at least one application account associated with the target mobile phone number; obtain an application account address book that stores the at least one application account; determine that other users stored in the application address list have an interest in the at least one application The remark information set by the account is used as the remark information of the target mobile phone number.

As the device described in item 11 of the scope of patent application, the prediction module is specifically used for: Based on the remark information, predict the age relationship between the other users and the user of the target mobile phone number; and determine the user age of the target mobile phone number based on the age relationship and the age of the other users.

A user age prediction device, including: The first determination module is used to determine the target account that needs to predict the age of the user; The second determining module is used to determine the remarks of the target account stored in the address book of other users, and the age of the other users; The prediction module is used to predict the age of the user of the target account based on the remark information and the age of the other users.

An electronic device that contains: Processor; and The memory is arranged to store computer-executable instructions, which when executed, cause the processor to perform the steps of the method described in any one of the scope of the patent application 1 to 10.

A computer-readable storage medium has a computer program stored on the computer-readable storage medium, and when the computer program is executed by a processor, it realizes the steps of the method described in any one of items 1 to 10 of the scope of patent application.