A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Introduction to Information Retrieval
Introduction to Information Retrieval
Answering general time sensitive queries
Proceedings of the 17th ACM conference on Information and knowledge management
Temporal processing with the TARSQI toolkit
COLING '08 22nd International Conference on on Computational Linguistics: Demonstration Papers
Incorporating query expansion and quality indicators in searching microblog posts
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Estimation methods for ranking recent information
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
On relevance, time and query expansion
Proceedings of the 20th ACM international conference on Information and knowledge management
Adaptive temporal query modeling
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Improving retrieval of short texts through document expansion
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Semantic document selection: historical research on collections that span multiple centuries
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Improving pseudo-relevance feedback via tweet selection
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Using temporal bursts for query modeling
Information Retrieval
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Temporal information retrieval exploits temporal features of document collections and queries. Temporal document priors are used to adjust the score of a document based on its publication time. We consider a class of temporal document priors that is inspired by retention functions considered in cognitive psychology that are used to model the decay of memory. Many such functions used as a temporal document prior have a positive effect on overall retrieval performance. We examine the stability of this effect across news and microblog collections and discover interesting differences between retention functions. We also study the problem of optimizing parameters of the retention functions as temporal document priors; some retention functions display consistent good performance across large regions of the parameter space. A retention function based on a Weibull distribution is the preferred choice for a temporal document prior.