WO2015184619A1 - Procédé et appareil pour estimer une distribution de caractères récessifs d'utilisateurs - Google Patents

Procédé et appareil pour estimer une distribution de caractères récessifs d'utilisateurs Download PDF

Info

Publication number
WO2015184619A1
WO2015184619A1 PCT/CN2014/079258 CN2014079258W WO2015184619A1 WO 2015184619 A1 WO2015184619 A1 WO 2015184619A1 CN 2014079258 W CN2014079258 W CN 2014079258W WO 2015184619 A1 WO2015184619 A1 WO 2015184619A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
feature
website
dominant
recessive
Prior art date
Application number
PCT/CN2014/079258
Other languages
English (en)
Chinese (zh)
Inventor
陈宽
Original Assignee
深圳市推想大数据信息技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市推想大数据信息技术有限公司 filed Critical 深圳市推想大数据信息技术有限公司
Priority to PCT/CN2014/079258 priority Critical patent/WO2015184619A1/fr
Priority to CN201480000467.4A priority patent/CN104205100B/zh
Publication of WO2015184619A1 publication Critical patent/WO2015184619A1/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0277—Online advertisement

Definitions

  • the method further includes: analyzing the user behavior habit according to the dominant feature and the recessive feature of the user.
  • 3 is a schematic diagram of a method for estimating a user's implicit feature distribution in the method embodiment of the present invention with implicit features and using a website to distribute in a sample space
  • 4 is a schematic diagram of a method for estimating a distribution of a dominant feature and a recessive feature in a sample space in an embodiment of a method for estimating a recessive feature distribution of a user;

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'invention concerne un procédé et un appareil pour estimer une distribution de caractères récessifs d'utilisateurs. Le procédé consiste : à acquérir des utilisateurs à l'aide d'un site Web et des caractères dominants des utilisateurs ; à acquérir des informations de caractères de toute la population à partir d'une base de données de population, les informations de caractères comprenant des caractères dominants et des caractères récessifs ; et à calculer une distribution de caractères récessifs des utilisateurs selon les informations de caractères de toute la population, les utilisateurs utilisant le site Web, les caractères dominants des utilisateurs et un algorithme bayésien. Au moyen du procédé, un résultat d'estimation est plus précis lorsque des caractères récessifs d'utilisateurs sont estimés.
PCT/CN2014/079258 2014-06-05 2014-06-05 Procédé et appareil pour estimer une distribution de caractères récessifs d'utilisateurs WO2015184619A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2014/079258 WO2015184619A1 (fr) 2014-06-05 2014-06-05 Procédé et appareil pour estimer une distribution de caractères récessifs d'utilisateurs
CN201480000467.4A CN104205100B (zh) 2014-06-05 2014-06-05 一种估算用户的隐性特征分布的方法及装置

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2014/079258 WO2015184619A1 (fr) 2014-06-05 2014-06-05 Procédé et appareil pour estimer une distribution de caractères récessifs d'utilisateurs

Publications (1)

Publication Number Publication Date
WO2015184619A1 true WO2015184619A1 (fr) 2015-12-10

Family

ID=52088179

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2014/079258 WO2015184619A1 (fr) 2014-06-05 2014-06-05 Procédé et appareil pour estimer une distribution de caractères récessifs d'utilisateurs

Country Status (2)

Country Link
CN (1) CN104205100B (fr)
WO (1) WO2015184619A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108765362B (zh) * 2017-04-20 2023-04-11 优信数享（北京）信息技术有限公司 一种车辆检测方法及装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060010029A1 (en) * 2004-04-29 2006-01-12 Gross John N System & method for online advertising
CN103164470A (zh) * 2011-12-15 2013-06-19 盛大计算机（上海）有限公司 基于用户性别判别结果的定向应用方法及其系统
CN103744917A (zh) * 2013-12-27 2014-04-23 东软集团股份有限公司 混合推荐方法及系统
CN103778555A (zh) * 2014-01-21 2014-05-07 北京集奥聚合科技有限公司 基于用户标签的用户属性挖掘方法和系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060010029A1 (en) * 2004-04-29 2006-01-12 Gross John N System & method for online advertising
CN103164470A (zh) * 2011-12-15 2013-06-19 盛大计算机（上海）有限公司 基于用户性别判别结果的定向应用方法及其系统
CN103744917A (zh) * 2013-12-27 2014-04-23 东软集团股份有限公司 混合推荐方法及系统
CN103778555A (zh) * 2014-01-21 2014-05-07 北京集奥聚合科技有限公司 基于用户标签的用户属性挖掘方法和系统

Also Published As

Publication number Publication date
CN104205100A (zh) 2014-12-10
CN104205100B (zh) 2018-02-02

Similar Documents

Publication Publication Date Title
Bärnighausen et al. Correcting HIV prevalence estimates for survey nonparticipation using Heckman-type selection models
Liu et al. Large sample randomization inference of causal effects in the presence of interference
US20210192565A1 (en) Methods and apparatus to correct misattributions of media impressions
Ryu et al. Do Private Tutoring Expenditures Raise Academic Performance? Evidence from Middle School Students in S outh K orea
CA2810264C (fr) Procedes et appareil pour determiner des impressions de support
US8768768B1 (en) Visitor profile modeling
US20130151311A1 (en) Prediction of consumer behavior data sets using panel data
Yao et al. Recursive ground truth estimator for social data streams
US11783353B2 (en) Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments
AU2013204865A1 (en) Methods and apparatus to share online media impressions data
McGovern et al. On the assumption of bivariate normality in selection models: a copula approach applied to estimating HIV prevalence
US20140129321A1 (en) Combination of Social Networking Data with Other Data Sets for Estimation of Viewership Statistics
US10825030B2 (en) Methods and apparatus to determine weights for panelists in large scale problems
US20150278157A1 (en) Generating anonymous data from web data
US9760902B2 (en) Ping compensation factor for location updates
US20220198493A1 (en) Methods and apparatus to reduce computer-generated errors in computer-generated audience measurement data
CN115668234A (zh) 联邦学习中服务器有效的隐私增强
US20160034915A1 (en) Document performance indicators based on referral context
McGovern et al. Using interviewer random effects to remove selection bias from HIV prevalence estimates
WO2015184619A1 (fr) Procédé et appareil pour estimer une distribution de caractères récessifs d'utilisateurs
US20150324837A1 (en) Techniques for co-usage adjustment of audience verification
WO2014160730A1 (fr) Obtention de métriques pour une publicité en ligne à l'aide de multiples sources de données d'utilisateur
US20200202370A1 (en) Methods and apparatus to estimate misattribution of media impressions
Congdon A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates
US10349102B2 (en) Distributing embedded content within videos hosted by an online system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14894051

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 14894051

Country of ref document: EP

Kind code of ref document: A1