Exploring Privacy and Personalization in Information Retrieval Applications
A growing number of information retrieval applications rely on search behavior aggregated over many users. If aggregated data such as search query reformulations is not handled properly, it can allow users to be identified and their privacy compromised. Besides leveraging aggregate data, it is also...
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Format: | Others |
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ScholarWorks@UMass Amherst
2013
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Online Access: | https://scholarworks.umass.edu/open_access_dissertations/790 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1795&context=open_access_dissertations |
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