Item-centered collaborative filtering is starting with a "centered" user-item matrix, found k-nearest users to the active user and used them to recommend unrated items, which will give us k-nearest items for each item.
As to search advertising, we should balance three parties: users, search engine, advertisers, and their differeing utility models.
-- Shu
