As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. Given the vagueness of Web sea...
Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Ba...
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
In this paper, we present a heuristic approach for finding errors and possible improvements in business process models. First, we translate the information that is included in a m...
Driven by many real applications, in this paper we study the problem of similarity search with implicit object features; that is, the features of each object are not pre-computed/e...
Yi Luo, Zheng Liu, Xuemin Lin, Wei Wang 0011, Jeff...
Web search is often viewed as a solitary task; however, there are many situations in which groups of people gather around a single computer to jointly search for information onlin...