The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …

Sponsored search has been proven to be a successful business model, and sponsored
search auctions have become a hot research direction. There have been many exciting …

Baidu runs the largest commercial web search engine in China, serving hundreds of millions
of online users every day in response to a great variety of queries. In order to build a high …

Computational Advertising, popularly known as online advertising or Web advertising, refers
to finding the most relevant ads matching a particular context on the Web. The context …

We consider the classic k-center problem in a parallel setting, on the low-local-space
Massively Parallel Computation (MPC) model, with local space per machine of O (nδ) …

Advertising keywords recommendation is an indispensable component for online
advertising with the keywords selected from the target Web pages used for contextual …

Metric clustering is a fundamental primitive in machine learning with several applications for
mining massive datasets. An important example of metric clustering is the k-center problem …

With enormous data emerging on the Web, traditional keyword searching is challenged by
short queries posed by users to vaguely describe their information need. Query expansion …

Advertisement (ad) selection plays an important role in sponsored search, since it is an
upstream component and will heavily influence the effectiveness of the subsequent auction …

Sponsored search is the major business model of commercial search engines. The number
of clicks on ads is a key indicator of success for both advertisers and search engines, and …