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  • A Generative Theory of Relevance

    A Generative Theory of Relevance Cover

    Victor Lavrenko

    This book presents a new way to look at topical relevance in information retrieval and offers a new method for modeling exchangeable sequences of discrete random variables which does not make any assumptions about the data and can also handle rare events.
  • A Feature-Centric View of Information Retrieval

    A Feature-Centric View of Information Retrieval Cover

    Donald Metzler

    In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.

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