BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
onlin (22)
display (17)
search (17)
contextu (16)
ad (11)

Stem advertis$ (all stems)

122 papers:

VLDBVLDB-2015-AslayLB0L #social
Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret (ÇA, WL, FB, AG, LVSL), pp. 822–833.
VLDBVLDB-2015-LiZT #online #realtime
Real-time Targeted Influence Maximization for Online Advertisements (YL, DZ, KLT), pp. 1070–1081.
MSRMSR-2015-HauffG #developer #git
Matching GitHub Developer Profiles to Job Advertisements (CH, GG), pp. 362–366.
HCIHIMI-IKC-2015-YamadaAY #analysis #internet
An Analysis of the Synergistic Effect in the Advertisement — Between the Television Commercials and the Internet Commercials (TY, YA, KY), pp. 159–170.
ECIRECIR-2015-LiC #effectiveness #using
Effective Healthcare Advertising Using Latent Dirichlet Allocation and Inference Engine (YCL, CCC), pp. 672–677.
ICMLICML-2015-MaeharaYK #game studies #multi #perspective #problem
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View (TM, AY, KiK), pp. 428–437.
ICMLICML-2015-MiyauchiIFK
Threshold Influence Model for Allocating Advertising Budgets (AM, YI, TF, NK), pp. 1395–1404.
KDDKDD-2015-GrbovicRDBN #gender
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr (MG, VR, ND, NB, AN), pp. 1819–1828.
KDDKDD-2015-HillMHTPT #online
Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising (DNH, RM, AEH, VT, FJP, KT), pp. 1839–1847.
KDDKDD-2015-LiLMWP #predict #timeline #twitter
Click-through Prediction for Advertising in Twitter Timeline (CL, YL, QM, DW, SP), pp. 1959–1968.
KDDKDD-2015-ShenGD #effectiveness #online
Effective Audience Extension in Online Advertising (JS, SCG, AD), pp. 2099–2108.
KDDKDD-2015-VattikondaKZDGS
Interpreting Advertiser Intent in Sponsored Search (BCV, SK, HZ, VD, SG, ACS), pp. 2177–2185.
KDDKDD-2015-ZhangW15a #mining #statistics
Statistical Arbitrage Mining for Display Advertising (WZ, JW), pp. 1465–1474.
SIGIRSIGIR-2015-LiKF #behaviour #matrix #predict
Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization (SL, JK, YF), pp. 875–878.
ICSEICSE-v1-2015-GuiMNH #developer #mobile
Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers (JG, SM, MN, WGJH), pp. 100–110.
CIKMCIKM-2014-KalyanakrishnanSK #on the #online #scalability
On Building Decision Trees from Large-scale Data in Applications of On-line Advertising (SK, DS, RK), pp. 669–678.
ICMLICML-c2-2014-YanLXH #predict
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising (LY, WJL, GRX, DH), pp. 802–810.
KDDKDD-2014-AgarwalGWY #online
Budget pacing for targeted online advertisements at LinkedIn (DA, SG, KW, SY), pp. 1613–1619.
KDDKDD-2014-Chapelle #feedback #modelling
Modeling delayed feedback in display advertising (OC), pp. 1097–1105.
KDDKDD-2014-DalessandroCRPWP #learning #online #scalability
Scalable hands-free transfer learning for online advertising (BD, DC, TR, CP, MHW, FJP), pp. 1573–1582.
KDDKDD-2014-ZhangYW #realtime
Optimal real-time bidding for display advertising (WZ, SY, JW), pp. 1077–1086.
RecSysRecSys-2014-ZhangOFL #modelling #network #scalability #social
Scalable audience targeted models for brand advertising on social networks (KZ, AMO, SF, HL), pp. 341–344.
VLDBVLDB-2013-ElmeleegyL0WWKDC #bibliography #data transformation #framework
Overview of Turn Data Management Platform for Digital Advertising (HE, YL, YQ, PW, MW, SK, AD, SC), pp. 1138–1149.
ICALPICALP-v2-2013-AlbersP #algorithm #online #scheduling #web
New Online Algorithms for Story Scheduling in Web Advertising (SA, AP), pp. 446–458.
CHICHI-2013-SaNC #animation #mobile
Mobile advertising: evaluating the effects of animation, user and content relevance (MdS, VN, EFC), pp. 2487–2496.
HCIDUXU-NTE-2013-ChuangH #case study #difference
A Study on Time Differences between Actual Advertisement Viewing and Retrospective Perception (MHC, CH), pp. 455–464.
HCIDUXU-WM-2013-ShinJ #online #social #social media
Online Advertising as a New Story: Effects of User-Driven Photo Advertisement in Social Media (MS, DYJ), pp. 103–112.
HCIHIMI-LCCB-2013-LinL13b #assessment #comprehension #evaluation #mobile #performance #usability
Usability Evaluation of Comprehension Performance and Subjective Assessment on Mobile Text Advertising (YLL, CHL), pp. 501–510.
KDDKDD-2013-StitelmanPDHRP #detection #network #online #scalability #using
Using co-visitation networks for detecting large scale online display advertising exchange fraud (OS, CP, BD, RH, TR, FJP), pp. 1240–1248.
KDDKDD-2013-WangBLZL #predict
Psychological advertising: exploring user psychology for click prediction in sponsored search (TW, JB, SL, YZ, TYL), pp. 563–571.
SIGIRSIGIR-2013-GaoYSL #internet #theory and practice
Internet advertising: theory and practice (BG, JY, DS, TYL), p. 1135.
CHICHI-2012-LeonUSWBC #behaviour #evaluation #online #tool support #usability #why
Why Johnny can’t opt out: a usability evaluation of tools to limit online behavioral advertising (PGL, BU, RS, YW, RB, LFC), pp. 589–598.
CHICHI-2012-MalheirosJPBS #case study #effectiveness #personalisation
Too close for comfort: a study of the effectiveness and acceptability of rich-media personalized advertising (MM, CJ, SP, SB, MAS), pp. 579–588.
CIKMCIKM-2012-BarajasAHKFA
Dynamic effects of ad impressions on commercial actions in display advertising (JB, RA, MH, JK, AF, VA), pp. 1747–1751.
CIKMCIKM-2012-SalomatinLY #framework #online #optimisation
A unified optimization framework for auction and guaranteed delivery in online advertising (KS, TYL, YY), pp. 2005–2009.
CIKMCIKM-2012-XuZG #multi #online
Multiview hierarchical bayesian regression model andapplication to online advertising (TX, RZ, ZG), pp. 485–494.
CIKMCIKM-2012-YamamotoSIYWT #clustering #mining #query
The wisdom of advertisers: mining subgoals via query clustering (TY, TS, MI, CY, JRW, KT), pp. 505–514.
KDDKDD-2012-BharadwajCMNTVVY #algorithm #named #performance
SHALE: an efficient algorithm for allocation of guaranteed display advertising (VB, PC, WM, CN, JT, SV, EV, JY), pp. 1195–1203.
KDDKDD-2012-ChengZAMZZN #multi #predict
Multimedia features for click prediction of new ads in display advertising (HC, RvZ, JA, EM, RZ, YZ, VN), pp. 777–785.
KDDKDD-2012-ChenY #predict
Position-normalized click prediction in search advertising (YC, TWY), pp. 795–803.
KDDKDD-2012-GuptaDPN
Factoring past exposure in display advertising targeting (NG, AD, SP, VKN), pp. 1204–1212.
KDDKDD-2012-LeeODL
Estimating conversion rate in display advertising from past erformance data (KcL, BO, AD, WL), pp. 768–776.
KDDKDD-2012-PerlichDHSRP #online #optimisation
Bid optimizing and inventory scoring in targeted online advertising (CP, BD, RH, OS, TR, FJP), pp. 804–812.
KDDKDD-2012-TianSCM #framework
Intelligent advertising framework for digital signage (PT, AVS, KC, SMM), pp. 1532–1535.
KDIRKDIR-2012-ArmanoGV #case study #effectiveness
Are Related Links Effective for Contextual Advertising? — A Preliminary Study (GA, AG, EV), pp. 221–226.
RecSysRecSys-2012-ZhangTSWY #approach #image #recommendation #semantics
A semantic approach to recommending text advertisements for images (WZ, LT, XS, HW, YY), pp. 179–186.
SEKESEKE-2012-BublitzAP #case study #ontology #pervasive
A Context Ontology Model for Pervasive Advertising: a Case Study on Pervasive Displays (FB, HOdA, AP), pp. 426–431.
SEKESEKE-2012-DingS #architecture #collaboration #mobile #using
Proactive Two Way Mobile Advertisement Using a Collaborative Client Server Architecture (WD, XS), pp. 768–773.
SIGIRSIGIR-2012-Broder #information retrieval #paradigm
IR paradigms in computational advertising (AZB), p. 1019.
PPDPPPDP-2012-LopezCC #declarative #distributed #experience #industrial
Declarative distributed advertisement system for iDTV: an industrial experience (ML, LMC, DC), pp. 185–194.
PADLPADL-2012-Coleman #classification #distributed #policy #specification
Distributed Policy Specification and Interpretation with Classified Advertisements (NC), pp. 198–211.
SACSAC-2012-ShatnawiM #bibliography #online #personalisation #statistics
Statistical techniques for online personalized advertising: a survey (MS, NM), pp. 680–687.
ICDARICDAR-2011-LiuLZL #detection #image #novel
A Novel Italic Detection and Rectification Method for Chinese Advertising Images (JL, HL, SZ, WL), pp. 698–702.
ICDARICDAR-2011-LiuZLL #clustering #image #locality
A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images (JL, SZ, HL, WL), pp. 1044–1048.
VLDBVLDB-2012-QumsiyehPN11 #generative
Generating Exact- and Ranked Partially-Matched Answers to Questions in Advertisements (RQ, MSP, YKN), pp. 217–228.
CHICHI-2011-KelleyBCS #question
When are users comfortable sharing locations with advertisers? (PGK, MB, LFC, NMS), pp. 2449–2452.
HCIHCI-UA-2011-McCoyRC #online
Investigating Online Advertising in Chile (SM, CFR, JLC), pp. 255–256.
CIKMCIKM-2011-BroderGJ #challenge #information retrieval
Information retrieval challenges in computational advertising (AZB, EG, VJ), pp. 2611–2612.
CIKMCIKM-2011-KimQYL #approach #behaviour
Advertiser-centric approach to understand user click behavior in sponsored search (SK, TQ, HY, TYL), pp. 2121–2124.
CIKMCIKM-2011-TylerPGJ #modelling #retrieval
Retrieval models for audience selection in display advertising (SKT, SP, EG, VJ), pp. 593–598.
CIKMCIKM-2011-WuXPZHL #concept #wiki
Leveraging Wikipedia concept and category information to enhance contextual advertising (ZW, GX, RP, YZ, ZH, JL), pp. 2105–2108.
ECIRECIR-2011-Gabrilovich #knowledge-based #retrieval
Ad Retrieval Systems in vitro and in vivo: Knowledge-Based Approaches to Computational Advertising (EG), pp. 4–5.
KDDKDD-2011-BilenkoR #personalisation #predict
Predictive client-side profiles for personalized advertising (MB, MR), pp. 413–421.
KDDKDD-2011-PapadimitriouGKLR #social
Display advertising impact: search lift and social influence (PP, HGM, PK, RAL, DHR), pp. 1019–1027.
KDDKDD-2011-Reiley #effectiveness #quote
“Which half Is wasted?”: controlled experiments to measure online-advertising effectiveness (DHR), p. 777.
KDDKDD-2011-SculleyOPSHZ #detection
Detecting adversarial advertisements in the wild (DS, MEO, MP, BS, JH, YZ), pp. 274–282.
KDIRKDIR-2011-ArmanoGV #concept #semantics #using
Semantic Enrichment of Contextual Advertising by using Concepts (GA, AG, EV), pp. 232–237.
SIGIRSIGIR-2011-CetintasCSSD #modelling #online #probability
Forecasting counts of user visits for online display advertising with probabilistic latent class models (SC, DC, LS, BS, ZD), pp. 1217–1218.
DocEngDocEng-2010-YangJPL #web
Contextual advertising for web article printing (SY, JJ, JP, SL), pp. 195–198.
ICEISICEIS-HCI-2010-Mital #mobile #privacy
Consumer Privacy Being Raided and Invaded — The Negative Side of Mobile Advertising (MM), pp. 117–123.
CIKMCIKM-2010-BharadwajMSSVXY #contract #online
Pricing guaranteed contracts in online display advertising (VB, WM, MS, JS, EV, JX, JY), pp. 399–408.
CIKMCIKM-2010-BurghardtBGC #question
Search-log anonymization and advertisement: are they mutually exclusive? (TB, KB, AG, CC), pp. 1269–1272.
CIKMCIKM-2010-DaveV #keyword
Pattern based keyword extraction for contextual advertising (KSD, VV), pp. 1885–1888.
CIKMCIKM-2010-GMLPG #trade-off
Relevance-index size tradeoff in contextual advertising (PKG, KPL, MP, SG), pp. 1721–1724.
CIKMCIKM-2010-MirizziRNS #generative #online #retrieval #semantics
Semantic tags generation and retrieval for online advertising (RM, AR, TDN, EDS), pp. 1089–1098.
CIKMCIKM-2010-RaghavanI #probability #retrieval #theory and practice
Probabilistic first pass retrieval for search advertising: from theory to practice (HR, RI), pp. 1019–1028.
CIKMCIKM-2010-WelchCC #generative #keyword #video
Generating advertising keywords from video content (MJW, JC, WC), pp. 1421–1424.
ICMLICML-2010-GraepelCBH #predict
Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine (TG, JQC, TB, RH), pp. 13–20.
ICPRICPR-2010-WangWDTLG #analysis #interactive #video #web
Interactive Web Video Advertising with Context Analysis and Search (BW, JW, LYD, QT, HL, WG), pp. 3252–3255.
KDDKDD-2010-Feldman #data mining #lessons learnt #mining #quantifier #scalability
The quantification of advertising: (+ lessons from building businesses based on large scale data mining) (KF), pp. 5–6.
KDDKDD-2010-LiWZCMJ #performance
Exploitation and exploration in a performance based contextual advertising system (WL, XW, RZ, YC, JM, RJ), pp. 27–36.
KDIRKDIR-2010-ArmanoV #recommendation
A Unifying View of Contextual Advertising and Recommender Systems (GA, EV), pp. 463–466.
SIGIRSIGIR-2010-BroderGJ #challenge #information retrieval
Information retrieval challenges in computational advertising (AZB, EG, VJ), p. 908.
SIGIRSIGIR-2010-FengWZM #image #mining #scalability #video
Mining adjacent markets from a large-scale ads video collection for image advertising (GF, XJW, LZ, WYM), pp. 893–894.
SIGIRSIGIR-2010-PandeyPFJ #query
Estimating advertisability of tail queries for sponsored search (SP, KP, MF, VJ), pp. 563–570.
SIGIRSIGIR-2010-YiLWR #using #video
Contextual video advertising system using scene information inferred from video scripts (BJY, JTL, HWW, HCR), pp. 771–772.
HCIHIMI-II-2009-MinC #approach #generative #personalisation #privacy
An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection (WHM, YGC), pp. 185–191.
HCIIDGD-2009-Guo #experience #online #research #user interface
User Experience Research and Management of Online Advertising and Merchandising (FYG), pp. 457–466.
ICEISICEIS-DISI-2009-Mao #machine learning #online
Machine Learning in Online Advertising (JM), p. 27.
CIKMCIKM-2009-AgarwalGHJK
Translating relevance scores to probabilities for contextual advertising (DA, EG, RH, VJ, RK), pp. 1899–1902.
CIKMCIKM-2009-BeckerBGJP #web #what
What happens after an ad click?: quantifying the impact of landing pages in web advertising (HB, AZB, EG, VJ, BP), pp. 57–66.
CIKMCIKM-2009-FanC
Blogger-centric contextual advertising (TKF, CHC), pp. 1803–1806.
ECIRECIR-2009-FanC #sentiment
Sentiment-Oriented Contextual Advertising (TKF, CHC), pp. 202–215.
KDDKDD-2009-ProvostDHZM #network #online #privacy #social
Audience selection for on-line brand advertising: privacy-friendly social network targeting (FJP, BD, RH, XZ, AM), pp. 707–716.
KDDKDD-2009-SculleyMBB #predict
Predicting bounce rates in sponsored search advertisements (DS, RGM, SB, RJB), pp. 1325–1334.
SEKESEKE-2009-GaoVSX #2d #mobile
A 2D-barcode Based Mobile Advertising Solution (JZG, HV, SS, JX), pp. 466–472.
SIGIRSIGIR-2009-BeckerBGJP
Context transfer in search advertising (HB, AZB, EG, VJ, BP), pp. 656–657.
SIGIRSIGIR-2009-GuoMLH #named #video
AdOn: an intelligent overlay video advertising system (JG, TM, FL, XSH), pp. 628–629.
SIGIRSIGIR-2009-LeeLPSR #keyword #video
Finding advertising keywords on video scripts (JTL, HL, HSP, YIS, HCR), pp. 686–687.
SIGIRSIGIR-2009-WangLFXY #performance #query
Efficient query expansion for advertisement search (HW, YL, LF, GRX, YY), pp. 51–58.
CIKMCIKM-2008-BroderCFGJMMP #learning
To swing or not to swing: learning when (not) to advertise (AZB, MC, MF, EG, VJ, DM, VM, VP), pp. 1003–1012.
CIKMCIKM-2008-BroderCFGJR #feedback #using #web
Search advertising using web relevance feedback (AZB, PC, MF, EG, VJ, LR), pp. 1013–1022.
CIKMCIKM-2008-WangBFJ
A note on search based forecasting of ad volume in contextual advertising (XW, AZB, MF, VJ), pp. 1343–1344.
KDDKDD-2008-EdelmanS #design #internet
Internet advertising and optimal auction design (BE, MS), p. 1.
KDDKDD-2008-GraepelH #data analysis #modelling #online #scalability
Large scale data analysis and modelling in online services and advertising (TG, RH), p. 2.
KDDKDD-2008-ZhangSPN #documentation #learning #multi #topic #web
Learning from multi-topic web documents for contextual advertisement (YZ, ACS, JCP, MN), pp. 1051–1059.
RecSysRecSys-2008-Broder #recommendation
Computational advertising and recommender systems (AZB), pp. 1–2.
SIGIRSIGIR-2008-LiaoCH #image #named #optimisation #scheduling #video
AdImage: video advertising by image matching and ad scheduling optimization (WSL, KTC, WHH), pp. 767–768.
HCIHCI-AS-2007-GaoRS
Provide Context-Aware Advertisements with Interactivity (QG, PLPR, GS), pp. 22–31.
HCIHCI-AS-2007-HosonoGIT #analysis
ATM Advertisement and Financial Preferences with Sensory Analysis (NH, SG, HI, YT), pp. 42–47.
CIKMCIKM-2007-AnagnostopoulosBGJR
Just-in-time contextual advertising (AA, AZB, EG, VJ, LR), pp. 331–340.
SIGIRSIGIR-2007-BroderFJR #approach #semantics
A semantic approach to contextual advertising (AZB, MF, VJ, LR), pp. 559–566.
CASECASE-2006-ShrinivasR
Optimal advertisement-innovation mix for maximizing the discounted flow of profit (PS, NRSR), pp. 562–567.
STOCSTOC-2006-Raghavan #algorithm #web
The changing face of web search: algorithms, auctions and advertising (PR), p. 129.
SIGIRSIGIR-2006-LacerdaCGFZR #learning
Learning to advertise (AL, MC, MAG, WF, NZ, BARN), pp. 549–556.
VLDBVLDB-2005-MetwallyAA #detection #network #using #web
Using Association Rules for Fraud Detection in Web Advertising Networks (AM, DA, AEA), pp. 169–180.
SIGIRSIGIR-2005-Ribeiro-NetoCGM
Impedance coupling in content-targeted advertising (BARN, MC, PBG, ESdM), pp. 496–503.
ICALPICALP-2003-DeanG #algorithm #approximate #scheduling
Improved Approximation Algorithms for Minimum-Space Advertisement Scheduling (BCD, MXG), pp. 1138–1152.
CHICHI-2002-Bayles #design #online #question
Designing online banner advertisements: should we animate? (MEB), pp. 363–366.
CAiSECAiSE-2000-EmburySGF #database #information management
Advertising Database Capabilities for Information Sharing (SME, JS, WAG, NF), pp. 47–63.
ICMLICML-1999-AbeN #internet #learning
Learning to Optimally Schedule Internet Banner Advertisements (NA, AN), pp. 12–21.
CHICHI-1998-RisdenCWHKHML #effectiveness #interactive
Interactive Advertising: Patterns of Use and Effectiveness (KR, MC, SW, LH, JK, HGH, NM, EL), pp. 219–224.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.