Mehran Sahami

With the emergence of the World Wide Wide and recent growth in Digital Libraries, the amount of on-line text that is now available is staggering. As a result, the need for computational tools to help users deal with the vast amounts of available textual information is also growing quickly. Specifically, automated learning methods have the potential to help users filter relevant from non-relevant information, adapt to users’ interests over time, and automatically find new and interesting pieces of information. Thus, the success of such learning methods has the potential to play a significant role in how end users interact with information in the future.

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