摘要:
The present application relates to systems and computer-implemented methods for determining a future bidding strategy regarding auctions associated with realization of an online advertisement. In some implementations, a server may be used to determine an optimized bid pacing parameter for an online advertisement based on a current bid pacing parameter associated with the online advertisement and an online advertisement supply information for a time period so that based on the optimized bid pacing, realization of the online advertisement over the time period substantially confirms to a spending strategy associated with the online advertisement during the time period. As such, the systems and computer-implemented methods may allow advertisers to control their spending strategy accurately during an advertising campaign.
摘要:
An item is allocated among two bidders that value the item very differently. The allocation is based on a probability that each of the bidders is allocated the item. The probability that each bidder is allocated the item is determined based on a non-linear function that is applied to bids that are received from the bidders. The item can be allocated semi-randomly subject to the probability that each bidder is allocated the item. A bidder can be required to pay its bid price only when allocated the item or each bidder can be required to pay an all-pay price regardless of which bidder is allocated the item. If the item is allocated in multiple auctions, the bidders can be ensured allocation of the item a minimum number of integer times based on the probabilities.
摘要:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for increasing advertiser utility in broad match auctions. In one aspect, a method includes receiving, from an advertiser, a set of keywords; accessing a linear program for a keyword language auction; determining a solution to the linear program; determining, based on the solution to the linear program, a proper subset of the keywords that increases the advertiser's utility relative to the advertiser's utility for the set of keywords; and generating utility bids for each of the keywords in the subset, each utility bid corresponding to one of the keywords in the subset and being a bid price for the keywords.