We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Web search engines today typically show results as a list of titles and short snippets that summarize how the retrieved documents are related to the query. However, recent researc...
We build a probabilistic model to identify implicit local intent queries, and leverage user’s physical location to improve Web search results for these queries. Evaluation on co...
Blogging has been an emerging media for people to express themselves. However, the presence of spam-blogs (also known as splogs) may reduce the value of blogs and blog search engi...
: The explosive growth of the World Wide Web, and the resulting information overload, has led to a miniexplosion in World Wide Web search engines. This mini-explosion, in turn, led...