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The TREC–11 filtering track measures the ability of systems to build persistent user profiles which successfully separate relevant and non-relevant documents in an incoming stream. It consists of three major subtasks: adaptive filtering, batch filtering, and routing. In adaptive filtering, the system begins with only a topic statement and a small number of(More)
The most prevalent experimental methodology for comparing the effectiveness of information retrieval systems requires a test collection, composed of a set of documents, a set of query topics, and a set of relevance judgments indicating which documents are relevant to which topics. It is well known that relevance judgments are not infallible, but recent(More)
The goal of the Blog track is to explore the information seeking behaviour in the blogosphere. It aims to create the required infrastructure to facilitate research into the blogosphere and to study retrieval from blogs and other related applied tasks. The track was introduced in 2006 with a main opinion finding task and an open task, which allowed(More)
TREC 2004 marks the third and final year for the novelty track. The task is as follows: Given a TREC topic and an ordered list of documents, systems must find the relevant and novel sentences that should be returned to the user from this set. This task integrates aspects of passage retrieval and information filtering. As in 2003, there were two categories(More)