Abstract. When you search for information regarding a particular person on the web, a search engine returns many pages. Some of these pages may be for people with the same name. Ho...
: Spatial implications of the commonly used `navigation' metaphor have lead many researchers to investigate the relation between individual differences and navigation. This st...
In this paper, we define and study a novel search problem: Comparative Web Search (CWS). The task of CWS is to seek relevant and comparative information from the Web to help users...
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...