BR0005552A - Process to develop a preferred ad population, computer program to develop a preferred ad population, and an evolutionary ad system - Google Patents

Process to develop a preferred ad population, computer program to develop a preferred ad population, and an evolutionary ad system

Info

Publication number
BR0005552A
BR0005552A BR0005552-2A BR0005552A BR0005552A BR 0005552 A BR0005552 A BR 0005552A BR 0005552 A BR0005552 A BR 0005552A BR 0005552 A BR0005552 A BR 0005552A
Authority
BR
Brazil
Prior art keywords
population
develop
preferred
evolutionary
effectiveness
Prior art date
Application number
BR0005552-2A
Other languages
Portuguese (pt)
Inventor
James D Schaffler
Original Assignee
Koninkl Philips Electronics Nv
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 Koninkl Philips Electronics Nv filed Critical Koninkl Philips Electronics Nv
Publication of BR0005552A publication Critical patent/BR0005552A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Engineering & Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • User Interface Of Digital Computer (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

"PROCESSO PARA DESENVOLVER UMA POPULAçãO DE ANúNCIOS PREFERIDOS, PROGRAMA DE COMPUTADOR PARA DESENVOLVER UMA POPULAçãO PREFERIDA DE ANúNCIOS, E, SISTEMA DE ANúNCIO EVOLUTIVO". Um algoritmo evolucinário é usado para realizar uma tentativa direcionada e busca de erro de características de publicidade alternativas. Uma população inicial de publicidades amostra é fornecida e as características de cada publicidade é codificada como um conjunto de genes associados com cada membro da população. A eficácia de cada membro é estimada, empregando-se, por exemplo, o número de vezes um usuário da Internet clica sobre casa publicidade. Os membros da população geram pluralidade de anúncios filhos que herdam características de seus pais. Os membros da população que exibem mais eficácia do que outros são preferencialmente selecionados para geração de filhos. Por seleção preferencial continuada dos pais não tendo mais eficácia do que outros, a probabilidade de gerar descendência que tenha um grau mais elevado de eficácia aumenta. A propagação das características particulares ou combinação de características deste processo evolucionário fornece uma indicação e verificação das características daqueles anúncios que produzem resultados eficazes."PROCESS TO DEVELOP A PREFERRED AD POPULATION, COMPUTER PROGRAM TO DEVELOP A PREFERRED AD POPULATION, AND, EVOLUTIONARY AD SYSTEM". An evolutionary algorithm is used to perform a targeted attempt and error search for alternative advertising features. An initial population of sample advertisements is provided and the characteristics of each advertisement are encoded as a set of genes associated with each member of the population. The effectiveness of each member is estimated, using, for example, the number of times an Internet user clicks on each advertisement. Population members generate a plurality of child ads that inherit characteristics from their parents. The members of the population that exhibit more effectiveness than others are preferably selected for the generation of children. Due to the continued preferential selection of parents not being more effective than others, the probability of generating offspring that has a higher degree of effectiveness increases. The propagation of the particular characteristics or combination of characteristics of this evolutionary process provides an indication and verification of the characteristics of those ads that produce effective results.

BR0005552-2A 1999-03-26 2000-03-22 Process to develop a preferred ad population, computer program to develop a preferred ad population, and an evolutionary ad system BR0005552A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US27765099A 1999-03-26 1999-03-26
PCT/EP2000/002596 WO2000058878A2 (en) 1999-03-26 2000-03-22 Evolving advertisements via an evolutionary algorithm

Publications (1)

Publication Number Publication Date
BR0005552A true BR0005552A (en) 2001-01-30

Family

ID=23061802

Family Applications (1)

Application Number Title Priority Date Filing Date
BR0005552-2A BR0005552A (en) 1999-03-26 2000-03-22 Process to develop a preferred ad population, computer program to develop a preferred ad population, and an evolutionary ad system

Country Status (6)

Country Link
EP (1) EP1183630A2 (en)
JP (1) JP2003529116A (en)
KR (1) KR20010052410A (en)
CN (1) CN1378672A (en)
BR (1) BR0005552A (en)
WO (1) WO2000058878A2 (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2377773A (en) * 2001-03-21 2003-01-22 Thomas Francis Kennett Using an algorithm to optimise advertisements and web pages
CN100373942C (en) * 2004-06-25 2008-03-05 中国科学院软件研究所 Thin terminal oriented multi-video stream display method and system
US20070156382A1 (en) 2005-12-29 2007-07-05 Graham James L Ii Systems and methods for designing experiments
KR100892847B1 (en) * 2007-05-29 2009-04-10 엔에이치엔(주) Method and system supporting public opinion according to advertisement performance
CA2692405A1 (en) 2007-07-03 2009-01-08 3M Innovative Properties Company System and method for generating time-slot samples to which content may be assigned for measuring effects of the assigned content
CA2692409A1 (en) 2007-07-03 2009-01-08 3M Innovative Properties Company System and method for assigning pieces of content to time-slots samples for measuring effects of the assigned content
CA2750840A1 (en) 2009-01-07 2010-07-15 3M Innovative Properties Company System and method for concurrently conducting cause-and-effect experiments on content effectiveness and adjusting content distribution to optimize business objectives
CA2700030C (en) 2009-04-16 2019-11-05 Accenture Global Services Gmbh Touchpoint customization system
JP5887816B2 (en) * 2011-10-11 2016-03-16 凸版印刷株式会社 ADVERTISEMENT EFFECT MEASUREMENT DEVICE, ADVERTISEMENT EFFECT MEASUREMENT METHOD, AND COMPUTER PROGRAM
US10438111B2 (en) 2016-01-05 2019-10-08 Evolv Technology Solutions, Inc. Machine learning based webinterface generation and testing system
US11574201B2 (en) 2018-02-06 2023-02-07 Cognizant Technology Solutions U.S. Corporation Enhancing evolutionary optimization in uncertain environments by allocating evaluations via multi-armed bandit algorithms
CN109583952B (en) * 2018-11-28 2022-03-22 深圳前海微众银行股份有限公司 Advertisement case processing method, device, equipment and computer readable storage medium

Also Published As

Publication number Publication date
JP2003529116A (en) 2003-09-30
WO2000058878A8 (en) 2001-11-15
WO2000058878A2 (en) 2000-10-05
KR20010052410A (en) 2001-06-25
CN1378672A (en) 2002-11-06
EP1183630A2 (en) 2002-03-06

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Legal Events

Date Code Title Description
B08F Application fees: application dismissed [chapter 8.6 patent gazette]

Free format text: REFERENTE A 5A, 6A E 7A ANUIDADES.

B08K Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette]

Free format text: REFERENTE AO DESPACHO 8.6 PUBLICADO NA RPI 1925 DE 27/11/2007.

B15K Others concerning applications: alteration of classification

Ipc: G06Q 30/06 (2012.01)