We consider the problem of large-scale retrieval evaluation, and we propose a statistical method for evaluating retrieval systems using incomplete judgments. Unlike existing techn...
Accurately and effectively detecting the locations where search queries are truly about has huge potential impact on increasing search relevance. In this paper, we define a search...
Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yans...
Recently, there has been increased interest in the retrieval and integration of hidden Web data with a view to leverage high-quality information available in online databases. Alt...
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Our research aims at interactive document viewers that can select and highlight relevant text passages on demand. Another related objective is the generation of topic-specific su...