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Retrieval models for audience selection in display advertising

Sarah K. Tyler, Sandeep Pandey, Evgeniy Gabrilovich, Vanja Josifovski
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
In audience selection for display advertising, the audience that is likely to be responsive to a given ad campaign is identified via such profiles.  ...  We formalize the audience selection problem as a ranked retrieval task over an index of known users.  ...  We thank Fernando Diaz for his insightful comments.  ... 
doi:10.1145/2063576.2063664 dblp:conf/cikm/TylerPGJ11 fatcat:oc3bwehluvdzxpjaf42awxrjee

AI-based targeted advertising system

Tew Jia Yu, Chin Poo Lee, Kian Ming Lim, Siti Fatimah Abdul Razak
2019 Indonesian Journal of Electrical Engineering and Computer Science  
<span>The most common technology used in targeted advertising is facial recognition and vehicle recognition.  ...  Machine learning algorithms are implemented for higher recognition accuracy and hence achieved better targeted advertising effect.</span>  ...  The Titan Xp used for this research was donated by the NVIDIA Corporation.  ... 
doi:10.11591/ijeecs.v13.i2.pp787-793 fatcat:b75f3gg2krfnvet3fh4caasruy

Identifying machine learning techniques for classification of target advertising

Jin-A Choi, Kiho Lim
2020 ICT Express  
There have been numerous applications of artificial intelligence (AI) technologies to online advertising, especially to optimize the reach of target audiences.  ...  Previous studies show that improved computational power significantly advances granular audience targeting capabilities.  ...  A model-based reinforcement learning model [21] was introduced to learn the bidding strategy in RTB display advertising.  ... 
doi:10.1016/j.icte.2020.04.012 fatcat:5qnbssw625chhfeeqkwzkgcjxm

Learning to rank audience for behavioral targeting

Ning Liu, Jun Yan, Dou Shen, Depin Chen, Zheng Chen, Ying Li
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Through this way, a long-tail advertiser can select a certain number of top ranked users as needed from the user segments for ads delivery.  ...  In this extend abstract, we propose to rank users according to their probability of interest in an advertisement in a learning to rank framework.  ...  In terms of learning to rank audience, the "query" is the advertisement a.  ... 
doi:10.1145/1835449.1835582 dblp:conf/sigir/LiuYSCCL10 fatcat:mao2uljezvenfhhgecz25rejvy

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances [article]

Weinan Zhang
2018 arXiv   pre-print
Meanwhile, we also introduce the relevant open-source platforms such as IRGAN and Texygen to help audience conduct research experiments on GANs in information retrieval.  ...  Finally, we conclude this tutorial with a comprehensive summarization and a prospect of further research directions for GANs in information retrieval.  ...  Learning, Prediction and Optimisation in RTB Display Advertising. CIKM 2016. • Jun Wang, Shuai Yuan, Weinan Zhang. Real-Time Bidding based Display Advertising: Mechanisms and Algorithms. ECIR 2016.  ... 
arXiv:1806.03577v1 fatcat:dsv5jaumizdkjma66mmhdwpxvi

MyAds: A system for adaptive pervasive advertisements

Antonio Di Ferdinando, Alberto Rosi, Ricardo Lent, Antonio Manzalini, Franco Zambonelli
2009 Pervasive and Mobile Computing  
The comparison of MyAds performances with different advertisement selection techniques confirms the validity of our advertisement model, and our prototype in particular, as a mean for maximizing product  ...  awareness in an audience and for enhancing economic efficiency.  ...  Authors would like also to thank the Fraunhofer Institute for Open Communication Systems FOKUS for the collaboration in the experimental phase.  ... 
doi:10.1016/j.pmcj.2009.06.006 fatcat:vx2tfkpqnbbm3azgcltxwq3r5a

Focused matrix factorization for audience selection in display advertising

B. Kanagal, A. Ahmed, S. Pandey, V. Josifovski, L. Garcia-Pueyo, J. Yuan
2013 2013 IEEE 29th International Conference on Data Engineering (ICDE)  
Audience selection is a key problem in display advertising systems in which we need to select a list of users who are interested (i.e., most likely to buy) in an advertising campaign.  ...  We develop a parallel multi-core implementation of the FMF model and evaluate its performance over a real-world advertising dataset spanning more than a million products.  ...  In this paper we showed how matrix factorization can be used for audience selection in display advertising.  ... 
doi:10.1109/icde.2013.6544841 dblp:conf/icde/KanagalAPJPY13 fatcat:r6ark62myffr5jpfboswzoddrq

Digital Advertising: An Information Scientist's Perspective [chapter]

James G. Shanahan, Goutham Kurra
2011 Advanced Topics in Information Retrieval  
Digital online advertising is a form of promotion that uses the Internet and World Wide Web for the express purpose of delivering marketing messages to attract customers.  ...  Over the past 15 years online advertising, a $65 billion industry worldwide in 2009, has been pivotal to the success of the World Wide Web.  ...  A recent trend in display advertising is to target audiences rather than contexts.  ... 
doi:10.1007/978-3-642-20946-8_9 fatcat:rycs7flw75fzflspvrza4lvuo4

Introducing the Ad ECG

Robert J. Kent, David A. Schweidel
2011 Journal of Advertising Research  
¢ Do particular shows or pods display differences in the timing or shape of the audience during commercials?  ...  s “Biggest Celeb- rity Oops,” for instance, may display higher rates of activity. ¢ An additional issue in creating commer- cial ratings for typical 15- and 30-second advertisements is data volume.  ... 
doi:10.2501/jar-51-4-586-593 fatcat:m5tyenae4zcdhj3wrtybqkbvrq

User Clustering Algorithms in Online Advertising

2019 International journal of recent technology and engineering  
The Digital Advertising has emerged as one of the main source of revenue for major part of Internet economy.  ...  To generate more income through advertisement the ad-publishers and the ad-networks need to be watchful about users interest when targeting them for their brand or product pro- motion through these channels  ...  In step 1, k numbers of clusters are selected. In step 2, from the set of all objects the algorithm selects k number of objects randomly which symbolizes the mediods for the k clusters initially.  ... 
doi:10.35940/ijrte.b1006.0782s419 fatcat:cxc2gim545gqzcajajdw3afscm

An Intelligent Embedded Marketing Service System based on TV apps: Design and implementation through product placement in idol dramas

Hui-Fei Lin, Chi-Hua Chen
2013 Expert systems with applications  
In sum, the IEMSS can be successfully applied to automatic summarization for advertising.  ...  Due to the increase in advertising requirements for various multi-media services, two studies were conducted to first propose an Intelligent Embedded Marketing Service System (IEMSS) and then to use this  ...  Thus, the development of an alternative advertising display method using advancements in technology to reduce audience resistance and eliminate the commercialism of advertising is an area worthy of further  ... 
doi:10.1016/j.eswa.2013.01.034 fatcat:vzu33mxmtnb3hidijznm6cdxfu

Mitigating the true cost of advertisement-supported "free" mobile applications

Azeem J. Khan, V. Subbaraju, Archan Misra, Srinivasan Seshan
2012 Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications - HotMobile '12  
In this paper, we explore the opportunities for addressing this emerging conflict by enabling more intelligent ad delivery to such mobile devices.  ...  The dominant, "ad-supported free application" model for consumeroriented mobile computing is seemingly imperiled by the growing global adoption of metered data pricing plans by mobile operators.  ...  In the first model, the cost per thousand impressions (CPM) is used to measure the price of reaching a large audience.  ... 
doi:10.1145/2162081.2162083 dblp:conf/wmcsa/KhanSMS12 fatcat:3xgb6dxuo5e3fga2kz2nety5we

TRAP: Using Targeted ads to unveil Google personal profiles

Mauro Conti, Vittoria Cozza, Marinella Petrocchi, Angelo Spognardi
2015 2015 IEEE International Workshop on Information Forensics and Security (WIFS)  
, possibly without impeding the current business model involved in online advertisement.  ...  In the last decade, the advertisement market spread significantly in the web and mobile app system.  ...  CONCLUSIONS With behavioral targeted advertising, the user that visits a GDN website can see ads relevant to her real interests, inferred from her browsing patterns.  ... 
doi:10.1109/wifs.2015.7368607 dblp:conf/wifs/ContiCPS15 fatcat:54gjqzpw5fhejdxhblujharr7a

Customer Focused Advertising Through Server Based Broadcast

Blake E. DeBray, Mustafa Kamal
2011 Journal of Business & Economics Research  
<span style="mso-spacerun: yes;">&nbsp; </span>What does this mean for the businesses who have ruled the advertising industry for all of these years?</span></p>  ...  <span style="mso-spacerun: yes;">&nbsp; </span>The same can be said for the means of distributing advertisements.  ...  MODEL FOR TARGETED ADDRESSABLE ADVERTISING All of the previously mentioned models are striving for similar goals, such as improved audience reach and targeting, and improved efficiency.  ... 
doi:10.19030/jber.v9i1.942 fatcat:sflx662kmrdmvo6uphajoy6ghe

Analysis of different Approaches of Targeted Advertisement

Abhijeet Shingade, Adesh Atole, Piyush Galphat, Shashank Dharmadhikari, Bhushan Thakare
2015 International Journal of Computer Applications  
This paper discusses various approaches for targeted advertisements. It also discusses an approach to optimize allocation of advertisements to target audience.  ...  In today"s technology obsessed world, advertisement also forms a major source of revenue for service providers, app developers who work on mobile platforms.  ...  Bayesian network model for advertisements allocation [8] In this all types of advertisement are classified into clusters.  ... 
doi:10.5120/ijca2015907435 fatcat:jpzzrbuo2bhwheekhjtu2aeqha
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