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Abstract: A key missing component in information retrieval systems is self-diagnostic tests to establish whether the system can provide reasonable results for a given query on a document collection. If we can measure properties of a retrieved set of documents which allow us to predict average precision, we can automate the decision of whether to elicit relevance feedback, or modify the retrieval system in other ways. We use meta-data attached to documents in the form of time stamps to measure the... (Update)
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BibTeX entry: (Update)
F. Diaz, R. Jones. Using Temporal Profiles of Queries for Precision Prediction. In M. Sanderson, et al. (eds.), Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 18--24. ACM, She#eld, UK, 2004. http://citeseer.ist.psu.edu/diaz04using.html More
@inproceedings{ 1008998,
author = {Fernando Diaz and Rosie Jones},
title = {Using temporal profiles of queries for precision prediction},
booktitle = {Proceedings of the 27th annual international conference on Research and development in information retrieval},
year = {2004},
isbn = {1-58113-881-4},
pages = {18--24},
location = {Sheffield, United Kingdom},
doi = {http://doi.acm.org/10.1145/1008992.1008998},
publisher = {ACM Press},
url = {citeseer.ist.psu.edu/diaz04using.html} }
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