The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search r...
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Abstract— Recent advances in graph-based search techniques derived from Kleinberg’s work [1] have been impressive. This paper further improves the graph-based search algorithm ...
Large search engines process thousands of queries per second on billions of pages, making query processing a major factor in their operating costs. This has led to a lot of resear...
—In this paper we present a scalable and distributed system for image retrieval based on visual features and annotated text. This system is the core of the SAPIR project. Its arc...