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ABSTRACT
We survey many of the measures used to describe and evaluate the efficiency and effectiveness of large-scale search services. These measures, herein visualized versus verbalized, reveal a domain rich in complexity and scale. We cover six principle facets of search: the query space, users' query sessions, user behavior, operational requirements, the content space, and user demographics. While this paper focuses on measures, the measurements themselves raise questions and suggest avenues of further investigation.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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W. Xi, K. Sidhu, and A. Chowdhury, "Latent Query Stability," presented at International Conference on Information and Knowledge Engineering IKE, 2003.
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CITED BY 27
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Qingqing Gan , Josh Attenberg , Alexander Markowetz , Torsten Suel, Analysis of geographic queries in a search engine log, Proceedings of the first international workshop on Location and the web, p.49-56, April 22-22, 2008, Beijing, China
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Eytan Adar , Daniel S. Weld , Brian N. Bershad , Steven S. Gribble, Why we search: visualizing and predicting user behavior, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada
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Beate Krause , Robert Jäschke , Andreas Hotho , Gerd Stumme, Logsonomy - social information retrieval with logdata, Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, June 19-21, 2008, Pittsburgh, PA, USA
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Hao Ma , Haixuan Yang , Irwin King , Michael R. Lyu, Learning latent semantic relations from clickthrough data for query suggestion, Proceeding of the 17th ACM conference on Information and knowledge management, October 26-30, 2008, Napa Valley, California, USA
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Mark J. Carman , Mark Baillie , Robert Gwadera , Fabio Crestani, A statistical comparison of tag and query logs, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, July 19-23, 2009, Boston, MA, USA
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