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Online Matching and Adwords PDF

54 Pages·2011·3.28 MB·English
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Online  Matching  and  Adwords     Aranyak  Mehta   Google  Research   Mountain  View,  CA Search  Adver=sing  (Adwords) Queries   Bidding   (online)   (offline)   users   adver=sers   Search  engine Queries   Bidding   (online)   (offline)   users   adver=sers   Search  engine   Find  matching   Score  candidates   Run  auc3on   candidates Queries   Bidding   (online)   (offline)   users   adver=sers   Search  engine   Find  matching   Score  candidates   Run  auc3on   candidates   •     Adver=ser  Budgets    =>  Demand  Constraint    =>    Matching Display  ads   •   Demand  is  offline    from  adver=sers       •   Targe=ng   •   Quan=ty    (“1M  ads”)   •     Supply  is  online    from  page  views Ad  Exchanges   Publisher   Ad  Network   Ad  Exchange   Publisher   Ad  Network   Publisher   Ad  Network   …  Many  other  examples  from  adver=sing  and  outside. Theory  to  Prac=ce   •  Details  of  the  implementa=on:   –  CTR,  CPC,  pay-­‐per-­‐click,  Second  price  auc=on,  Posi=on  Normalizers.   •  Objec=ve  func=ons  (in  order):   –  User’s  u=lity   –  Adver=ser  ROI   –  Short  term  Revenue  /  Long  term  growth Online  Bipar=te  Matching   •     Match  upon  arrival,  irrevocably   •     Maximize  size  of  the  matching   . . . . . . Known  in   Arrive   advance   Online The  Core  difficulty

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Search Adver)sing (Adwords) Short term Revenue / Long term growth Known iid. Bipar)te Matching. 1-‐1/e (op)mal). Vertex Weighted. Matching. Adwords
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.