This paper presents a review of the book "Web Data Mining - Exploring Hyperlinks, Contents, and Usage Data" by Bing Liu. The review concludes that the breadth and depth ...
People are thirsty for medical information. Existing Web search engines often cannot handle medical search well because they do not consider its special requirements. Often a medi...
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
Abstract. The massive amount of textual data on the Web raises numerous classification problems. Although the notion of domain is widely acknowledged in the IR field, the applica...