English

An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization

Computer Science and Game Theory 2012-07-20 v1 Information Theory math.IT

Abstract

Sponsored search becomes an easy platform to match potential consumers' intent with merchants' advertising. Advertisers express their willingness to pay for each keyword in terms of bids to the search engine. When a user's query matches the keyword, the search engine evaluates the bids and allocates slots to the advertisers that are displayed along side the unpaid algorithmic search results. The advertiser only pays the search engine when its ad is clicked by the user and the price-per-click is determined by the bids of other competing advertisers.

Keywords

Cite

@article{arxiv.1207.4701,
  title  = {An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization},
  author = {Chenyang Li and Mingyi Hong and Randy Cogill and Alfredo Garcia},
  journal= {arXiv preprint arXiv:1207.4701},
  year   = {2012}
}
R2 v1 2026-06-21T21:38:33.112Z