Probabilistic models of ranking novel documents for faceted topic retrieval

@inproceedings{Carterette2009ProbabilisticMO,
  title={Probabilistic models of ranking novel documents for faceted topic retrieval},
  author={Ben Carterette and Praveen Chandar},
  booktitle={CIKM},
  year={2009}
}
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval models need to capture dependencies between documents. Such tasks require alternative evaluation and optimization methods that operate on different types of relevance judgments. We define faceted topic retrieval as a particular novelty-driven task with the goal of finding a set of documents that cover the different facets… CONTINUE READING
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