Date Added: Sep 2011
With the availability of very large databases, an exploratory query can easily lead to a vast answer set, typically based on an answer's relevance (i.e., top-k, tf-idf) to the user query. Navigating through such an answer set requires huge effort and users give up after perusing through the first few answers, thus some interesting answers hidden further down the answer set can easily be missed. An approach to ad-dress this problem is to present the user with the most diverse among the answers based on some diversity criterion. In this demonstration, the authors present DivDB, a system they built to provide query result diversification both for advanced and novice users.