Session: Internet Economics & Monetization 1
* Machine Learning in an Auction Environment
Patrick Hummel & R. Preston McAfee (Google Inc.)
* Optimal Revenue-Sharing Double Auctions with Applications to Ad Exchanges
Renato Gomes (Toulouse School of Economics) & Vahab Mirrokni (Google Research)
Session: The Future
* Exploring the Filter Bubble: The Effect of Using Recommender Systems on Content Diversity
Tien T. Nguyen, Pik-Mai Hui, F. Maxwell Harper, Loren Terveen, & Joseph A. Konstan(University of Minnesota)
16. 条件評価部
# 配信をしていい広告案件を抽出
grep{|sched| sched.can_delivered?}
def can_delivered?
return false if @now > end_at || @now < start_at
# 広告案件に付与された複数の条件を評価
constrains.each do |cons|
value ||= cons.call(@request)
return true if value
end
return false
end
16