In this paper we propose an attribute retrieval approach which extracts and ranks attributes from Web tables. We use simple heuristics to filter out improbable attributes and we ...
We investigates language models for informational and navigational web search. Retrieval on the web is a task that differs substantially from ordinary ad hoc retrieval. We perfor...
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
Most information retrieval technologies are designed to facilitate information discovery. However, much knowledge work involves finding and re-using previously seen information. W...
Susan T. Dumais, Edward Cutrell, Jonathan J. Cadiz...
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...