Readings in information retrieval
Readings in information retrieval
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
From Gutenberg to the global information infrastructure: access to information in the networked world
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
Evaluating Natural Language Processing Systems: An Analysis and Review
Evaluating Natural Language Processing Systems: An Analysis and Review
Advances in Informational Retrieval: Recent Research from the Center for Intelligent Information Retrieval
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Extending information unit across media streams for improving retrieval effectiveness
Data & Knowledge Engineering
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This paper reviews lessons from the history of information retrieval research, with particular emphasis on recent developments. These have demonstrated the value of statistical techniques for retrieval, and have also shown that they have an important, though not exclusive, part to play in other information processing tasks, like question asnwering and summarising. The heterogeneous materials that digital libraries are expected to cover, their scale, and their changing composition, imply that statistical methods, which are general-purpose and very flexible, have significant potential value for the digital libraries of the future.