We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
With the advent of new technology in vehicles, drivers can access information in many different forms (email, address books, Web pages) and from many information sources (cell pho...
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
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...
Abstract. The TextMap-TMT cross-language question answering system at USC-ISI was designed to answer Spanish questions from English documents. The system is fully automatic, includ...
Abdessamad Echihabi, Douglas W. Oard, Daniel Marcu...