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    ADML 2012 - ICML Workshop on Online Advertising (AdML)

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    Website icml.cc/2012/workshops/ | Want to Edit it Edit Freely

    Category ADML 2012

    Deadline: May 07, 2012 | Date: June 26, 2012-July 01, 2012

    Venue/Country: Edinburgh, U.K.

    Updated: 2012-03-24 09:05:26 (GMT+9)

    Call For Papers - CFP

    AdML is an ICML 2012 workshop that will focus on machine learning for online advertising, an emerging application area of enormous practical importance that has numerous scientific challenges. The workshop will span theory and practice, attracting academic and industrial lab scientists as well as industry practitioners. Schedule highlights will include invited talks from leading researchers in the field and contributed talks for top accepted papers. The workshop will include a special session on open problems, and a poster session dedicated to promising early-stage work.

    Topics of Interest

    Submissions are encouraged in any of the following research areas, but are not limited to:

    Large-scale machine learning

    Selection bias, covariate shift, and domain adaptation

    Contextual bandits and explore/exploit trade-offs

    Evaluation methods

    Interaction of machine learning and auction theory / mechanism design

    Prediction markets

    Learning to rank

    Personalization

    Behavioral targeting

    Privacy-preserving learning

    Adversarial learning, including ad scam, spam, and fraud detection

    Social network analysis

    Learning bidding strategies, including real time bidding for ad exchanges

    Learning for sponsored search

    Learning for display ads and contextual advertisements

    Learning for offer ads and deals

    Learning for ads on mobile devices

    Reliability of deployed systems

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.