19 papers:
CASE-2015-KarnikD #online #scheduling- Optimal scheduling of campaigns on on-line forums (AK, PD), pp. 775–780.
CHI-2015-KimMP #mobile #volunteer- Exploring Barriers to the Adoption of Mobile Technologies for Volunteer Data Collection Campaigns (SK, JM, EP), pp. 3117–3126.
SCSM-2015-MillsF #effectiveness #framework #how #why- A Computational Study of How and Why reddit.com was an Effective Platform in the Campaign Against SOPA (RM, AF), pp. 229–241.
KDD-2015-XuLLQL #effectiveness #online #optimisation- Smart Pacing for Effective Online Ad Campaign Optimization (JX, KcL, WL, HQ, QL), pp. 2217–2226.
- CHI-2014-XuYRFHB #analysis #exclamation
- Show me the money!: an analysis of project updates during crowdfunding campaigns (AX, XY, HR, WTF, SWH, BPB), pp. 591–600.
- SCSM-2014-TriantafillidouYL #online #student
- Antecedents and Consequences of Online Campaign Engagement of Greek College Students (AT, PY, GL), pp. 397–407.
- CASE-2012-HN #approach #multi #network #social
- Influence limitation in multi-campaign social networks: A Shapley value based approach (PRH, YN), pp. 735–740.
ICML-2012-PrasseSLS #email #identification #learning #regular expression- Learning to Identify Regular Expressions that Describe Email Campaigns (PP, CS, NL, TS), p. 146.
- HIMI-v2-2011-FagerstromG #empirical #facebook #network #social #using
- Co-Creation of Value through Social Network Marketing: A Field Experiment Using a Facebook Campaign to Increase Conversion Rate (AF, GG), pp. 229–235.
CIKM-2011-LeeCCS #detection #social #social media- Content-driven detection of campaigns in social media (KL, JC, ZC, DZS), pp. 551–556.
- CIKM-2011-SeguelaS #hybrid #recommendation
- A semi-supervised hybrid system to enhance the recommendation of channels in terms of campaign roi (JS, GS), pp. 2265–2268.
- KDD-2010-ChanGGHL #modelling #online #pipes and filters #scalability
- Evaluating online ad campaigns in a pipeline: causal models at scale (DC, RG, OG, TH, DL), pp. 7–16.
ICDAR-2009-GrosickiCBG #evaluation- Results of the RIMES Evaluation Campaign for Handwritten Mail Processing (EG, MC, JMB, EG), pp. 941–945.
- CIKM-2009-PitonBBG #data mining #mining
- Domain driven data mining to improve promotional campaign ROI and select marketing channels (TP, JB, HB, FG), pp. 1057–1066.
- ICML-2009-HaiderS #clustering #detection #email
- Bayesian clustering for email campaign detection (PH, TS), pp. 385–392.
- KDD-2003-MayerS #design
- Experimental design for solicitation campaigns (UFM, AS), pp. 717–722.
DATE-2002-BerrojoGCRSEL #injection- New Techniques for Speeding-Up Fault-Injection Campaigns (LB, IG, FC, MSR, GS, LE, CL), pp. 847–852.
- KDD-2001-RossetNEVI #evaluation #modelling #predict
- Evaluation of prediction models for marketing campaigns (SR, EN, UE, NV, YI), pp. 456–461.
- KDD-1999-Piatetsky-ShapiroM #modelling
- Estimating Campaign Benefits and Modeling Lift (GPS, BMM), pp. 185–193.
