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Assessing the Capability of Large Language Models for Navigation of the Australian Health Care System: Comparative Study [PDF]
JMIR AIBackgroundAustralians can face significant challenges in navigating the health care system, especially in rural and regional areas. Generative search tools, powered by large language models (LLMs), show promise in improving health information retrieval ...
Joshua Simmich +2 more
doaj +2 more sources
A systematic review and future directions for AI-driven detection of fraud patterns in SACCO transactions [PDF]
Frontiers in Artificial IntelligenceFraud in Savings and Credit Cooperative Organizations (SACCOs) remains a major challenge that undermines financial inclusion and sustainability in developing countries.
Dalton Ampumuza +2 more
doaj +2 more sources
Privacy-enhancing personalized web search [PDF]
Proceedings of the 16th international conference on World Wide Web, 2007 Personalized web search is a promising way to improve search quality by customizing search results for people with individual information goals. However, users are uncomfortable with exposing private preference information to search engines. On the other hand, privacy is not absolute, and often can be compromised if there is a gain in service or ...
Yabo Xu +3 more
openaire +2 more sources
Private Web Search Using Proxy-Query Based Query Obfuscation Scheme
IEEE Access, 2023 People use web search engines to retrieve information from the world wide web. Search engines maintain query logs to refine retrieved information for personalized web search.
Shariq Bashir, Akmal Saeed Khattak
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Multi-Group ObScure Logging (MG-OSLo) A Privacy-Preserving Protocol for Private Web Search
IEEE Access, 2021 The Web Search Engine (WSE) is a software system used to retrieve data from the web successfully. WSE uses the user’s search queries to build the user’s profile and provide personalized results.
Mohib Ullah +6 more
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Proxy-Terms Based Query Obfuscation Technique for Private Web Search
IEEE Access, 2022 Search engines store users’ queries in a query log for performing personalized information retrieval. However, query logs cause privacy concerns and reveal a lot of information about individuals if used against them.
Shariq Bashir +2 more
doaj +1 more source
Complexity, 2021 Web search engines usually keep users’ profiles for multiple purposes, such as result ranking and relevancy, market research, and targeted advertisements. However, user web search history may contain sensitive and private information about the user, such
Rafiullah Khan +4 more
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Web Browser Privacy: What Do Browsers Say When They Phone Home?
IEEE Access, 2021 We measure the data sent to their back-end servers by five browsers: Google Chrome, Mozilla Firefox, Apple Safari, Brave Browser and Microsoft Edge, during normal web browsing on both desktop and mobile devices.
Douglas J. Leith
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A Real-Time Query Log Protection Method for Web Search Engines
IEEE Access, 2020 Web search engines (e.g., Google, Bing, Qwant, and DuckDuckGo) may process a myriad of search queries per second. According to Internet Live Stats, Google handles more than two hundred million queries per hour, i.e., about two trillion queries per year ...
David Pamies-Estrems +2 more
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Privacy and User Experience in 21st Century Library Discovery
Information Technology and Libraries, 2017 Over the last decade, libraries have taken advantage of emerging technologies to provide new discovery tools to help users find information and resources more efficiently.
Shayna Pekala
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