This paper investigates an application of the ranked region algebra to information retrieval from large scale but unannotated documents. We automatically annotated documents with ...
Web is the boundless source of information and no one is able to process the vast amount of new documents published on the web every day, even with filtering out the documents the ...
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
Search engines are among the most important applications or services on the web. Most existing successful search engines use global ranking algorithms to generate the ranking of do...