research-article

"Ad you like it": advertisement sourcing and selection technique across multiple heterogeneous applications

Authors:

Ajay Jain,

Chandan SinghAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 37, Issue 4

Pages 1 - 6

https://doi.org/10.1145/2237796.2237802

Published: 16 July 2012 Publication History

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Abstract

Sourcing and selection of online advertisement is done with the objective of streaming advertisements that match user's interests and internet surfing habits. Choosing relevant advertisements that bring user's focus and attention have higher click rate. Innovative concepts, such as crawling recently surfed web pages (or websites), user's (or web portal server) geographical location, user's profile, age, gender, and surfing habits., have been used to identify most relevant advertisements. However, selecting and streaming an advertisement that exactly matches user's interest continues to be a challe.

This paper proposes and shares an innovative technique that significantly helps in mapping user's interest quotient to streamed advertisements. This technique respects the individuality of a user and is able to differentiate between users. The proposed solution is implemented by enabling communication channels across multiple heterogeneous user-initiated applications. Applications that do not directly communicate with advertisement data sources, leverage other application running on the same user's account and submit their own metadata to the applications attached to advertisement data sources. The proposed paper helps in substituting publisher's assumptions of a user's interest with real-time user's objects of interest.

References

[1]

IAB and PricewaterhouseCoopers report http://www.iab.net/about_the_iab/recent_press_releases/press_release_archive/press_release/pr-092811

Google Scholar

[2]

UXMatters Eye tracking http://www.uxmatters.com/mt/archives/2005/12/introduction-to-eyetracking-seeing-through-your-users-eyes.php

Google Scholar

[3]

Tobii Eye tracking http://www.tobii.com/eye-tracking-research/global/research/advertising-research/

Google Scholar

[4]

Rodden K., Fu X., Proceedings of ACM SIGIR 2007 Workshop on WISR, pp. 29--32 http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/pubs/archive/32735.pdf

Google Scholar

[5]

Langheinrich M, Nakamura A, NEC, "Unintrusive Customization Techniques for Web Advertising www8.org/w8-papers/2b-customizing/unintrusive/unintrusive.html

Google Scholar

[6]

Kotera R., Kitayama D., Oku K., Sumiya K., Proceedings ICUIMC-11. http://dl.acm.org/citation.cfm?id=1968759&bnc=1

Google Scholar

[7]

Google Advertisement Solution, Adsense https://accounts.google.com/ServiceLogin?service=adsense&rm=hide&nui=15&alwf=true&ltmpl=adsense&passive=true&continue=https://www.google.com/adsense/gaiaauth2&followup=https://www.google.com/adsense/gaiaauth2&hl=en_US

Google Scholar

[8]

Crawl Content http://technet.microsoft.com/en-us/library/cc160651%28office.12%29.aspx

Google Scholar

[9]

Jansen J. B., "Investigating customer click through behavior with integrated sponsored and non sponsored results", Int. J. Internet Marketing and Advertising, Vol. 5, 2009 http://faculty.ist.psu.edu/jjansen/academic/jansen_click_through_sponsored_links.pdf

Crossref

Google Scholar

[10]

Bryan Adams http://www.bryanadams.com/?PHPSESSID=b296bffd8679ed84ced9b401dc2f7160

Google Scholar

[11]

Yahoo Advertising Solutions http://advertising.yahoo.com/

Google Scholar

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Gelaidan HAl-Swidi AMabkhot H(2023)Leadership Behavior for Successful Change ManagementGlobal Encyclopedia of Public Administration, Public Policy, and Governance10.1007/978-3-030-66252-3_3138(7401-7405)Online publication date: 6-Apr-2023
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Karimov JOzbayoglu MTavli BDogdu E(2022)Menu Optimization for Multi-Profile Customer Systems on Large Scale DataComputational Economics10.1007/s10614-021-10147-060:1(221-242)Online publication date: 1-Jun-2022
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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 37, Issue 4

July 2012

182 pages

ISSN:0163-5948

DOI:10.1145/2237796

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2012

Published in SIGSOFT Volume 37, Issue 4

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Gelaidan HAl-Swidi AMabkhot H(2023)Leadership Behavior for Successful Change ManagementGlobal Encyclopedia of Public Administration, Public Policy, and Governance10.1007/978-3-030-66252-3_3138(7401-7405)Online publication date: 6-Apr-2023
https://doi.org/10.1007/978-3-030-66252-3_3138
Karimov JOzbayoglu MTavli BDogdu E(2022)Menu Optimization for Multi-Profile Customer Systems on Large Scale DataComputational Economics10.1007/s10614-021-10147-060:1(221-242)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s10614-021-10147-0
Pérez-Alonso ABlanco ISerrano JGonzález-González L(2021)Incremental maintenance of discovered fuzzy association rulesFuzzy Optimization and Decision Making10.1007/s10700-021-09350-320:4(429-449)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1007/s10700-021-09350-3
Gelaidan HAl-Swidi AMabkhot H(2018)Leadership Behavior for Successful Change ManagementGlobal Encyclopedia of Public Administration, Public Policy, and Governance10.1007/978-3-319-20928-9_3138(3631-3635)Online publication date: 16-Jun-2018
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Pérez-Alonso AMedina IGonzález-González LSerrano Chica J(2017)Incremental maintenance of discovered association rules and approximate dependenciesIntelligent Data Analysis10.3233/IDA-15043421:1(117-133)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.3233/IDA-150434
Gelaidan HAl-Swidi AMabkhot H(2017)Leadership Behavior for Successful Change ManagementGlobal Encyclopedia of Public Administration, Public Policy, and Governance10.1007/978-3-319-31816-5_3138-1(1-6)Online publication date: 24-May-2017
https://doi.org/10.1007/978-3-319-31816-5_3138-1
Gelaidan HAl-Swidi AMabkhot H(2016)Employee Readiness for Change in Public Higher Education Institutions: Examining the Joint Effect of Leadership Behavior and Emotional IntelligenceInternational Journal of Public Administration10.1080/01900692.2016.125596241:2(150-158)Online publication date: 20-Dec-2016
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Jain A(2015)A Technique for Selecting Online Advertisements using Mailbox Calendar InvitesACM SIGSOFT Software Engineering Notes10.1145/2788630.278864140:4(1-7)Online publication date: 28-Jul-2015
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Jamil H(2015)Improving integration effectiveness of ID mapping based biological record linkageIEEE/ACM Transactions on Computational Biology and Bioinformatics10.1109/TCBB.2014.235521312:2(473-486)Online publication date: 1-Mar-2015
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Shamsujjoha MAhmed MHossain FJabid T(2014)Semantic modelling of unshaped object: An efficient approach in content based image retrieval2014 17th International Conference on Computer and Information Technology (ICCIT)10.1109/ICCITechn.2014.7073070(30-34)Online publication date: Dec-2014
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