How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire docume...
The types of awareness relevant to collaborative software engineering are identified and an additional type, “historical awareness” is proposed. This new type of awareness is...
A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...