2014 Proceeding
Online advertising is a key component in the whole Internet ecosystem and is growing rapidly with constantly evolving business models and practices. Examples of online advertising include sponsored search, display advertising, Rich Media Ads, interstitial ads, online classified advertising, e-mail marketing, mobile advertising, and so on. With the rapid growth of social network, social network advertising (as exemplified by Facebook and Groupon) is taking off and playing an important role in the whole landscape. Also, more and more offline ads for both big brands and local businesses are moving online.
Proceeding Downloads
A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising
There are two major ways of selling impressions in display advertising. They are either sold in spot through auction mechanisms or in advance via guaranteed contracts. The former has achieved a significant automation via real-time bidding (RTB); however,...
Multi-Touch Attribution Based Budget Allocation in Online Advertising
Budget allocation in online advertising deals with distributing the campaign (insertion order) level budgets to different sub-campaigns which employ different targeting criteria and may perform differently in terms of return-on-investment (ROI). In this ...
Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth
Most video advertising campaigns today are still evaluated based on aggregate demographic audience metrics, rather than measures of individual impact or even individual demographic reach. To fit in with advertisers' evaluations, campaigns must be ...
The PlaceIQ Analytic Platform: Location Oriented Approaches to Mobile Audiences
- Juan M. Huerta,
- Jonathan Lenaghan,
- Steve Milton,
- Kevin Brackney,
- Amol Kapila,
- Roman Shraga,
- Rachit Srivastava,
- Carmem Domingues Khoa Pham,
- Eliza Chang,
- Susan Zhang,
- Evan Picard,
- Alexandra Dango,
- Ranqi Zhu
The PlaceIQ platform is a large-scale data analysis system created on the concept of location. This paper is a system overview where we provide an description of the nature of the data sources, frame of reference, abstractions, algorithmic approaches, ...
Practical Lessons from Predicting Clicks on Ads at Facebook
- Xinran He,
- Junfeng Pan,
- Ou Jin,
- Tianbing Xu,
- Bo Liu,
- Tao Xu,
- Yanxin Shi,
- Antoine Atallah,
- Ralf Herbrich,
- Stuart Bowers,
- Joaquin Quiñonero Candela
Online advertising allows advertisers to only bid and pay for measurable user responses, such as clicks on ads. As a consequence, click prediction systems are central to most online advertising systems. With over 750 million daily active users and over ...
iPinYou Global RTB Bidding Algorithm Competition Dataset
RTB (Real Time Bidding) is one of the most exciting developments in computational advertising in recent years. It drives transparency and efficiency in the display advertising ecosystem and facilitates the healthy growth of the display advertising ...
Can Television Advertising Impact Be Measured on the Web? Web Spike Response as a Possible Conversion Tracking System for Television
- Brendan Kitts,
- Michael Bardaro,
- Dyng Au,
- Al Lee,
- Sawin Lee,
- Jon Borchardt,
- Craig Schwartz,
- John Sobieski,
- John Wadsworth-Drake
Consumers are increasingly using internet-connected devices while watching television. This paper will show that it is possible to measure web activity bursts that peak about 13 seconds after the end of traditional TV ad broadcasts. By measuring this ...
Cited By
- Zhang B, Sun C, Tan J, Cai X, Zhao J, Miao M, Yin K, Song C, Mou N and Song Y SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, (4930-4937)
- Lei H, Zhao Y and Cai L Multi-objective Optimization for Guaranteed Delivery in Video Service Platform Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, (3017-3025)
- Gao H, Kong D, Lu M, Bai X and Yang J Attention Convolutional Neural Network for Advertiser-level Click-through Rate Forecasting Proceedings of the 2018 World Wide Web Conference, (1855-1864)
Index Terms
Proceedings of the Eighth International Workshop on Data Mining for Online Advertising
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Online Advertising: Experimental Facts on Ethics, Involvement, and Product Type
The purpose of this chapter is to provide some insights into advertisements on the Iranian websites. Firstly, in publisher side, is the ethic a matter of fact in accepting Internet advertisements to publish? Second, to provide a preliminary insight into ...
Online Display Advertising: Targeting and Obtrusiveness
We use data from a large-scale field experiment to explore what influences the effectiveness of online advertising. We find that matching an ad to website content and increasing an ad's obtrusiveness independently increase purchase intent. However, in ...
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| ADKDD'17 | 21 | 12 | 57% |
| Overall | 21 | 12 | 57% |