Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Background: Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge ...
Stefania Bortoluzzi, Alessandro Coppe, Andrea Biso...
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
With the growth of the Web, there has been a rapid increase in the number of users who need to access online databases without having a detailed knowledge of the schema or of quer...
CT This paper explores several methods for visualizing the thematic content of large document collections. As opposed to traditional query-driven document retrieval, these methods ...
Nancy Miller, Elizabeth G. Hetzler, Grant Nakamura...