In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
This paper addresses several key issues in extraction and mining of an academic social network: 1) extraction of a researcher social network from the existing Web; 2) integration ...
Currently, there is an increasing effort to provide various personalized services on museum web sites. This paper presents an approach for determining user interests in a museum c...
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries...
We would like to show that the collective production of knowledge and the individual creation of its organizational casting mould, which is therefore incapable of following the gr...