Estimating Personal and Social Information for Mobile User
نویسندگان
چکیده
منابع مشابه
Learning user interests for user profiling in personal information agents
Information overload has become a pressing research problem on account of the growing amount of information available in on-line sources such as the Web. In the last decade, personal information agents have emerged as a promising solution to deal with this problem. These agents are intelligent assistants that make different tasks such as finding, accessing, filtering and summarizing large amoun...
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More than six decades after Vannevar Bush put forward Memex [3], his vision of a personal information management (PIM) framework, most computer users are still constrained by a rigid hierarchical file organization, where the semantic relationships among data are not emphasized. The semantic desktop leverages the potential of the semantic web to address the challenges of complex PI spaces, which...
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• integrate system-wide keyword search, originating from selected item • have the history infl uence the importance rating (prefer recently visited items) • visualize immediate neighborhood of relaed items • break down large lists using classifi cation by common relationships and attributes In general, the use of associations to store information was understood and accepted. Several users even ...
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Protecting personal information privacy has become a controversial issue among online social network providers and users. Most social network providers have developed several techniques to decrease threats and risks to the users’ privacy. These risks include the misuse of personal information which may lead to illegal acts such as identity theft. This study aims to measure the awareness of user...
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ژورنال
عنوان ژورنال: KIPS Transactions on Software and Data Engineering
سال: 2013
ISSN: 2287-5905
DOI: 10.3745/ktsde.2013.2.9.603