Filters








1,589 Hits in 3.5 sec

Unbiased Lift-based Bidding System [article]

Daisuke Moriwaki and Yuta Hayakawa and Isshu Munemasa and Yuta Saito and Akira Matsui
2020 arXiv   pre-print
In this study, we develop Unbiased Lift-based Bidding System, which maximizes the advertisers' profit by accurately predicting the lift-effect from biased log data.  ...  Our system is the first to enable high-performing lift-based bidding strategy by theoretically alleviating the inherent bias in the log.  ...  PROPOSED METHOD In this section, we propose and describe our Unbiased Lift-based Bidding System.  ... 
arXiv:2007.04002v2 fatcat:pqbkn6x57rd43nuqxxerfnmf2e

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising

Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu
2016 Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16  
to achieve unbiased learning.  ...  s real-time bidding platform and provided 2.97% AUC lift for CTR estimation and 9.30% eCPC drop for bid optimisation in an online A/B test.  ...  Recently, a lift-based bidding strategy was proposed [32] , where the bid price was set proportional to the user's CVR lift after seeing the ad impression.  ... 
doi:10.1145/2939672.2939713 dblp:conf/kdd/ZhangZWX16 fatcat:nt55mm3tcvd37gy4szya6ujtea

A Decentralized Redeployment Algorithm for Improving the Availability of Distributed Systems [chapter]

Sam Malek, Marija Mikic-Rakic, Nenad Medvidovic
2005 Lecture Notes in Computer Science  
For these reasons, the existing techniques are not applicable to an emerging class of decentralized systems marked by the limited system wide knowledge and lack of centralized control.  ...  As a result of connectivity losses, the overall availability of the system decreases.  ...  For this reason, executing the exact algorithm is only feasible for very small systems. Unbiased Stochastic Algorithm.  ... 
doi:10.1007/11590712_8 fatcat:roaopyvkwbdzbgilcw2yt4bi2e

Counterfactual-based Incrementality Measurement in a Digital Ad-Buying Platform [article]

Prasad Chalasani, Ari Buchalter, Jaynth Thiagarajan, Ezra Winston
2017 arXiv   pre-print
MediaMath (a DSP) has developed the first practical, statistically sound randomization-based methodology for causal ad effectiveness (or Ad Lift) measurement by a DSP (or similar digital advertising execution  ...  system that may not have full control over the advertising transaction mechanisms).  ...  In such cases, all cookie-based response rates would effectively be zero, as conversions cannot be associated with bid opportunities, and Ad Lift becomes indeterminate.  ... 
arXiv:1705.00634v2 fatcat:67fz4xdmc5epboik6euxjznryy

Bid optimizing and inventory scoring in targeted online advertising

Claudia Perlich, Brian Dalessandro, Rod Hook, Ori Stitelman, Troy Raeder, Foster Provost
2012 Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12  
This paper presents a bid-optimization approach that is implemented in production at Media6Degrees for bidding on these advertising opportunities at an appropriate price.  ...  Billions of online display advertising spots are purchased on a daily basis through real time bidding exchanges (RTBs).  ...  So the reported lift is not the lift of our full targeting and bid optimization, but only the lift of inventory selection on top of the regular selection.  ... 
doi:10.1145/2339530.2339655 dblp:conf/kdd/PerlichDHSRP12 fatcat:gcr4ibnokbgkpouik4vo3ugw6e

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting [article]

Jun Wang, Weinan Zhang, Shuai Yuan
2017 arXiv   pre-print
The covered topics include user response prediction, bid landscape forecasting, bidding algorithms, revenue optimisation, statistical arbitrage, dynamic pricing, and ad fraud detection.  ...  The most significant progress in recent years in online display advertising is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads.  ...  showed that although such a lift-based bidding strategy indeed brought more conversions to the advertiser, more conversions are assigned to the competitive value-based bidding strategies than the lift-based  ... 
arXiv:1610.03013v2 fatcat:f2ewm5rdhzfi3pdndao4uww6re

Page 15 of Herald of Gospel Liberty Vol. 106, Issue 34 [page]

1914 Herald of Gospel Liberty  
Don’t you feel them lift and bear you To the everlasting shore? Where the great white throne of God is, And all sin and sorrows cease, Where the angels bid you welcome To the realms of perfect peace.  ...  Don’t you feel them lift and bear you To the everlasting shore?  ... 

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning [article]

Chao Du, Yifan Zeng, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Xiaoqiang Zhu, Jian Xu, Kun Gai
2020 arXiv   pre-print
welfare in advertising systems.  ...  Remarkably, an online A/B test deployed in the Alibaba display advertising platform shows an 8.2% social welfare improvement and an 8.0% revenue lift.  ...  test deployed in the Alibaba display advertising platform shows an 8.2% social welfare improvement and an 8.0% revenue lift.  ... 
arXiv:2012.02298v1 fatcat:vc2hcbtjk5ch7lczjcxalc3tyu

Willingness to Pay and Public Acceptance for Hydrogen Buses: A Case Study of Perugia

Simona Bigerna, Paolo Polinori
2015 Sustainability  
lifts, as well as MiniMetrò and Ferrovia Centrale Umbra.  ...  [20] Face to face Questionnaire-based survey of bus users and drivers. H2B n.c. Heo and Yoo [17] Face to face Questionnaire-based survey of heads of households.  ... 
doi:10.3390/su71013270 fatcat:3inazf2bebesbcjbvr753qyzcu

Incrementality Bidding & Attribution

Randall A. Lewis, Jeffrey Wong
2018 Social Science Research Network  
and adtargeting systems.  ...  bidder with the aim of running all pricing models, incrementality bidding included, through a single system.  ... 
doi:10.2139/ssrn.3129350 fatcat:eqvjx34vjrfh7oryxynvz7q65i

Algorithmic Trading in the Iowa Electronic Markets

James Schmitz
2010 Social Science Research Network  
Using invested capital, the system traded 34% of the total market volume and achieved a Sharpe ratio of 9.9.  ...  If either of the trader's sell orders were lifted, they can immediately sell the other security at its bid price to eliminate the risk of the position.  ...  Brahma et al. (2010) explored inventory-based and information-based market making models for prediction markets.  ... 
doi:10.2139/ssrn.1593336 fatcat:42ieexmovraorin5fvclccgywe

Conditional volatility forecasting in a dynamic hedging model

Michael S. Haigh
2005 Journal of Forecasting  
Are there times when a trader following a basic model that does not forecast outperforms a trader using the nested bid-ask model?  ...  Are the forecasted hedging ratios (and wealth generated) from the nested bid-ask model statistically and economically different than standard approaches?  ...  bid-ask quotes are collected and recorded throughout the day (and are made publicly available), the final bid, ask and settlement price of the day were collected based on the assumption that our representative  ... 
doi:10.1002/for.950 fatcat:qzoe6kvcfjbuzd4owkdlwdl4ui

Sovereign Credit Risk, Liquidity, and ECB Intervention: Deus Ex Machina?

Loriana Pelizzon, Marti G. Subrahmanyam, Davide Tomio, Jun Uno
2015 Social Science Research Network  
that changes in credit risk, as measured by the Italian sovereign credit default swap (CDS) spread, generally drive the liquidity of the market: a 10% change in the CDS spread leads a 11% change in the bid-ask  ...  parameter attached to it in the bid-ask spread regression is unbiased and consistently estimated.  ...  The MTS trading system is an automated quote-driven electronic limit order interdealer market, in which market makers' quotes can be "hit" or "lifted" by other market participants via market orders. 15  ... 
doi:10.2139/ssrn.2587786 fatcat:s6cvbe2aqffg5fy2kapk4iquty

Auctioning the Airwaves: The Contest for Broadband pcs Spectrum

Bhaskar Chakravorti, William W. Sharkey, Yossef Spiegel, Simon Wilkie
1995 Journal of Economics and Management Strategy  
Abstract The House and Senate of the United States Congress recently passed legislation that directs the FCC to establish a system for using auctions to allocate the use of radio spectrum for personal  ...  Each bidder, i, makes an unbiased estimation of v based on, demand analyses, its knowledge of the state of PCS technology, projections about the industry structure, etc.  ...  Determining Valuations In order to bid successfully in the spectrum auction, each bidder must base his bid on his "valuation" of spectrum.  ... 
doi:10.1111/j.1430-9134.1995.00345.x fatcat:yozfamp25fbnheinu3nls6oe6m

Tales From A Nonstandard Career In Operations Research

Michael H. Rothkopf
2001 INFOR. Information systems and operational research  
The subject areas covered are sequencing theory, bidding theory, queuing theory, and energy economics. There are also short sections on my roles in practice publications and teaching.  ...  This would be its best unbiased estimate of what it would cost to build the plant. This, however, was not its bid. Its bid would be a multiple of that estimate.  ...  The projected balance required lifting the quota. In some areas, we had no studies or models and had to use judgment.  ... 
doi:10.1080/03155986.2001.11732449 fatcat:423baagrnvfmreh35iwgfmgwgq
« Previous Showing results 1 — 15 out of 1,589 results