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Statistical Arbitrage Mining for Display Advertising

Weinan Zhang, Jun Wang
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
We study and formulate arbitrage in display advertising.  ...  In essence, our SAMer is a meta-bidder that hedges advertisers' risk between CPA (cost per action)-based campaigns and CPM (cost per mille impressions)-based ad inventories; it statistically assesses the  ...  We thank the engineers Tianchi Zhu, Jie Liu, Lei Gong, Yanjun He and Zhao Yang for helping conduct the online experiment on BigTree DSP.  ... 
doi:10.1145/2783258.2783269 dblp:conf/kdd/ZhangW15a fatcat:tb5lof76lbd47lc5bvhbf7vwpu

Adaptive Modeling for Real Time Analytics: The Case of "Big Data" in Mobile Advertising

Donald Kridel, Daniel Dolk, David Castillo
2015 2015 48th Hawaii International Conference on System Sciences  
In this environment, analytic modeling must be automated viq model feedback loops which adjust the models dynamically as real time data streams in. We call this mode of analytics adaptive modeling.  ...  Performance thresholds are roughly l00ms for DSPs to decide whether and how much to bidfor a potential client to receive a particular advertisement via their mobile dwice.  ...  We describe below an alternative scenario for "on the fly", dynamic real-time modeling based upon automated models, which adapt to real-time customer behavior via model feedback loops.  ... 
doi:10.1109/hicss.2015.111 dblp:conf/hicss/KridelDC15 fatcat:x2agceajmff4bl4ohoqtlz7fqi

Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising [article]

Kuang-Chih Lee, Ali Jalali, Ali Dasdan
2013 arXiv   pre-print
Today, billions of display ad impressions are purchased on a daily basis through a public auction hosted by real time bidding (RTB) exchanges.  ...  Our algorithm tries to select high quality impressions and adjust the bid price based on the prior performance distribution in an adaptive manner by distributing the budget optimally across time.  ...  Acknowledgments We would like to thank Xi Yang and Changgull Song for testing the entire bid optimization framework in the staging environment.  ... 
arXiv:1305.3011v1 fatcat:dw3lhbbu2nbnnhkyzoal3idrcy

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

Jun Wang, Weinan Zhang, Shuai Yuan
2017 arXiv   pre-print
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.  ...  The covered topics include user response prediction, bid landscape forecasting, bidding algorithms, revenue optimisation, statistical arbitrage, dynamic pricing, and ad fraud detection.  ...  Lift-based bidding The traditional bidding strategies discussed in Chapter 5 are called valuebased bidding strategies as the bidding is based on the estimated value (i.e. utility) of the potential impression  ... 
arXiv:1610.03013v2 fatcat:f2ewm5rdhzfi3pdndao4uww6re

Real-Time Bidding with Side Information

Arthur Flajolet, Patrick Jaillet
2017 Neural Information Processing Systems  
We consider the problem of repeated bidding in online advertising auctions when some side information (e.g. browser cookies) is available ahead of submitting a bid in the form of a d-dimensional vector  ...  The goal for the advertiser is to maximize the total utility (e.g. the total number of clicks) derived from displaying ads given that a limited budget B is allocated for a given time horizon T .  ...  Acknowledgments Research funded in part by the Office of Naval Research (ONR) grant N00014-15-1-2083.  ... 
dblp:conf/nips/FlajoletJ17 fatcat:65cr4pcxlzgwxgbp47jusbwv7y

Smart Pacing for Effective Online Ad Campaign Optimization

Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
Since lots of impressions are traded through public auctions for online advertising today, the liquidity makes price elasticity and bid landscape between demand and supply change quite dynamically.  ...  In targeted online advertising, advertisers look for maximizing campaign performance under delivery constraint within budget schedule.  ...  The market has witnessed the emergence of search advertising, contextual advertising, guaranteed display advertising, and more recently auction-based advertising exchanges.  ... 
doi:10.1145/2783258.2788615 dblp:conf/kdd/XuLLQL15 fatcat:atu63u6fkngmhnm3ngepxwlr4e

Dynamic Budget Throttling in Repeated Second-Price Auctions [article]

Zhaohua Chen, Chang Wang, Qian Wang, Yuqi Pan, Zhuming Shi, Chuyue Tang, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng
2022 arXiv   pre-print
The advertiser could obtain the highest competing bid in each round with full-information feedback.  ...  Meanwhile, with partial information feedback, the advertiser could only have access to the highest competing bid in the auctions she participates in.  ...  based on a dynamically updated throttling parameter (Line 10).  ... 
arXiv:2207.04690v3 fatcat:x74ull5fcvbujjxdfkmdkpfggi

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising

Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
2018 IEEE Transactions on Knowledge and Data Engineering  
Real-time bidding (RTB) based display advertising has become one of the key technological advances in computational advertising.  ...  In RTB, the advertisers face three main challenges when optimizing their bidding strategies, namely (i) estimating the utility (e.g., conversions, clicks) of the ad impression, (ii) forecasting the market  ...  Second, based on the derived bidding function, we discuss that a tragedy of the commons situation exists among multiple advertisers with the same optimal bidding strategy in RTB display advertising.  ... 
doi:10.1109/tkde.2017.2775228 fatcat:n4zrcu72s5bfdh77upzk4n5ku4

Designing an Ad Auctions Game for the Trading Agent Competition [chapter]

Patrick R. Jordan, Michael P. Wellman
2010 Lecture Notes in Business Information Processing  
TAC/AA will debut in summer 2009, with the final tournament commencing in conjunction with the TADA-09 workshop.  ...  The Ad Auctions game investigates complex strategic issues found in real sponsored search auctions that are not captured in current analytical models.  ...  Constructive suggestions and other useful feedback provided during presentations at Yahoo!  ... 
doi:10.1007/978-3-642-15117-0_11 fatcat:f25am6k3onbhll4t5tsvqir5im

Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users [article]

Shuai Yuan, Ahmad Zainal Abidin, Marc Sloan, Jun Wang
2012 arXiv   pre-print
In this paper, we provide a comprehensive survey on Internet advertising, discussing and classifying the research issues, identifying the recent technologies, and suggesting its future directions.  ...  Internet advertising is a fast growing business which has proved to be significantly important in digital economics.  ...  Because ad exchanges will select ads based on various factors including bidding price, an advertiser's bidding strategy is very important.  ... 
arXiv:1206.1754v2 fatcat:bq2rq2qgnbetxmf5qx5iiezila

Learning users' interests by quality classification in market-based recommender systems

Y.Z. Wei, L. Moreau, N.R. Jennings
2005 IEEE Transactions on Knowledge and Data Engineering  
However, no one technique is best for all users in all situations.  ...  To combat this, we have previously developed a market-based recommender system that allows multiple agents (each representing a different recommendation method or system) to compete with one another to  ...  ACKNOWLEDGMENTS This research is funded in part by QinetiQ and the EPSRC Magnitude project (reference GR/N35816). This paper is a significantly revised and extended version of [10] .  ... 
doi:10.1109/tkde.2005.200 fatcat:ut2jxpvcrnhulj77rfekyjlnyi

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

James G. Shanahan, Goutham Kurra
2011 Advanced Topics in Information Retrieval  
Examples of online advertising include text ads that appear on search engine results pages, banner ads, in-text ads, or Rich Media ads that appear on regular web pages, portals, or applications.  ...  data-centric processes that enable highly targeted, personalized, performance based advertising.  ...  Dynamic creatives refer to creatives constructed on the fly, typically based on the audience or context.  ... 
doi:10.1007/978-3-642-20946-8_9 fatcat:rycs7flw75fzflspvrza4lvuo4

Behavior profiling for mobile advertising

Manxing Du, Radu State, Mats Brorsson, Tigran Avenesov
2016 Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies - BDCAT '16  
Behavioral and targeted profiling of users is an important task in marketing and in the advertising industry.  ...  With such proportions being less than one percent of the overall user population, efficient feature extraction and modeling techniques are required in order to capture and recognize the potential consumers  ...  The bidding strategies design immensely relies on the click through rate (CTR) and conversion rate (CVR) estimation [24] .  ... 
doi:10.1145/3006299.3006339 dblp:conf/bdc/DuSBA16 fatcat:c4vuticgibhezh67r2ffzzd62a

Budget Pacing in Repeated Auctions: Regret and Efficiency without Convergence [article]

Jason Gaitonde, Yingkai Li, Bar Light, Brendan Lucier, Aleksandrs Slivkins
2022 arXiv   pre-print
Such algorithms are commonly used as bidding agents in Internet advertising platforms.  ...  We study the aggregate welfare and individual regret guarantees of dynamic pacing algorithms in the context of repeated auctions with budgets.  ...  In this paper we will focus on a particular class of bidding strategies (gradient-based pacing) described later in this section.  ... 
arXiv:2205.08674v2 fatcat:r55iitjmfzhf3oikujgzhj2icu

Financial Lower Bounds of Online Advertising Abuse [chapter]

Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Wenke Lee, Michael Farrell
2016 Lecture Notes in Computer Science  
Chapter 3 proposes an optimal dynamic model for unifying programmatic guarantee (PG) and real-time bidding (RTB) in display advertising.  ...  All advertisers use the fixed price bidding strategy.  ...  We here use the closed-form pricing formula to examine the convergence error of various lattice methods which are based on the GBM underlying model.  ... 
doi:10.1007/978-3-319-40667-1_12 fatcat:egwgg4ksrrbq7oju4lcwuengdy
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