We present a generative model for determining the information content of a message without analyzing the message content. Such a tool is useful for automated analysis of the vast ...
Yingjie Zhou, Malik Magdon-Ismail, William A. Wall...
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...
The inclusion of document length factors has been a major topic in the development of retrieval models. We believe that current models can be further improved by more refined est...
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...