Time-based language models

By Xiaoyan Li, W. Bruce Croft. International Conference on Information and Knowledge Management, 2003

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A framework to predict the quality of answers with non-textual features (2006, methodology): “Query independent prior information such as time, quality and popularity have been successfully integrated into the model using the prior probability [11, 23, 14].”
Improving retrieval of short texts through document expansion (2012, methodology): “Following Li and Croft, unless otherwise speci.ed we set r =0.01.”
UMass at TREC 2004: Novelty and HARD (2004, background): “Temporal Feedback Previous work has shown that some topics demonstrate strong temporal structure [7, 20].”
Statistical Language Models for Information Retrieval: A Critical Review (2008, background): “…optimization techniques, and scalability • Question answering • Summarization of single documents, multiple documents, and corpora • Text mining • Topic detection and tracking • Usability, interactivity, and visualization issues in IR • User modelling and user studies for IR • Web search”