Knowing the intent of a search query allows for more intelligent ways of retrieving relevant search results. Most of the recent work on automatic detection of query intent uses su...
Edith Law, Anton Mityagin, David Maxwell Chickerin...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Emerging applications such as personalized portals, enterprise search and web integration systems often require keyword search over semi-structured views. However, traditional inf...
Feng Shao, Lin Guo, Chavdar Botev, Anand Bhaskar, ...
Abstract. We present an approach to increasing the effectiveness of rankedoutput retrieval systems that relies on graphical display and user manipulation of “views” of retrieva...
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...