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What is User Profile

Handbook of Research on Public Information Technology
A user description that includes account ID, user ID, and password information. The characteristics that designate how a user works with Information Exchange.
Published in Chapter:
Trust Based E-Commerce Decisions
Vesile Evrim (University of Southern California, USA) and Dennis McLeod (University of Southern California, USA)
Copyright: © 2008 |Pages: 10
DOI: 10.4018/978-1-59904-857-4.ch022
Abstract
Over the years, trust has been extensively studied in many fields such as sociology, psychology, and economics. The sociologist Gambetta (2000) states that trust is one of the most important social concepts present in all human interaction and without it there is no cooperation or society. Berscheid (1994) also claims that trust is central to how we interact with each other; thus, it is a key to the positive interrelationships. Social psychologists use the notion of trust to predict acceptance of behaviors by others and institutions (e.g., government agencies). In literature, trust is defined in so many ways that it becomes more elusive than the physical dimensions of space and time. In time, due to the increase of human-computer interaction, trust has become one of the most challenging topics in computer science. Similar to the definitions of trust defined by sociologists and psychologists, computer scientists have also defined trust in their own way (McKnight & Chevany 1996; Falcone & Castelfranchi, 2001; Wang & Vassileva, 2003). How much we trust the source, information, or agent has become one of the hardest questions to answer. As computer technology advances, the need for trust between multiple parties in a communication-based systems increase.
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Personalization Technologies in Cyberspace
It defines users’ preferences and their interaction behaviors on a Web site.
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Multimedia Information Filtering
A data log representing a model of a user that can be used to ascertain behaviour and taste preferences
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Identifying Users Stereotypes for Dynamic Web Pages Customization
Set of information regarding user preferences, necessities and knowledge.
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Enhancing Accessibility to E-Government Processes
Set of parameters specifying the result the user wants to receive from the server. E.g. it can specify color combinations, or the sampling rate of the audio file
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Standardization in Learning Technology
A set of characteristics describing a user.
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User Profile Modeling and Learning
A machine-processable description of the user model.
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Towards a Personalized E-Learning System
The profile contains all the data associated with the user or learner, for example, educational background, preferences, learning aims, competitive level, and so forth.
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User Profiles for Personalizing Digital Libraries
A structured representation of interests (and disinterests) of a user or group of users.
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An HL7-Aware Decision Support System for E-Health
A model of a user representing both his preferences and his behaviour.
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The Ubiquitous Grid
Or simply “profile” is a collection of personal settings enabling the personalization of a system.
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Profiling and Personalization in Internet of Things Environments
A set of characteristics that describes the user in IoT environment including the user context, competencies, preferences, and interaction history.
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Privacy Implications and Protection in the New Ubiquitous Web Environment
A record of a user’s personal information containing every attribute that specifies the characteristics, abilities, needs, restrictions and in general any data that could be useful in a specific context such as service provision, application adaptation and environment setting.
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Using Ontology and User Profile for Web Services Query
User information representing his or her preferences and needs.
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Using Patterns for Engineering High-Quality Mobile Applications
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