We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
In this paper we conduct an extensive and in-depth study of traffic exchanged between YouTube data centers and its users, as seen from the perspective of a tier-1 ISP in Spring 20...
Due to the ubiquity and popularity of XML, users often are in the following situation: they want to query XML documents which contain potentially interesting information but they ...
Albrecht Schmidt 0002, Martin L. Kersten, Menzo Wi...
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
As the number of available Web pages grows, users experience increasing difficulty finding documents relevant to their interests. One of the underlying reasons for this is that mo...