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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=user+modeling">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=user+modeling]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for user modeling]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/236/Improved-Information-Retrieval-through-Set-Based-Preference"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/38/Profile-Driven-Data-Management-for-Pervasive-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1089/General-user-modeling-a-facility-to-support-intelligent-interaction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1116/GUMS-A-General-User-Modeling-Shell"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/560/The-Need-for-User-Models-in-Generating-Expert-System-Explanations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1110/Default-Reasoning-and-Stereotypes-in-User-Modelling"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/287/Modeling-the-user-in-natural-language-systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1117/GUMS1-A-General-User-Modeling-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/325/GUMS1-A-General-User-Modeling-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/199/Personalized-Information-Retrieval-in-Context"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/236/Improved-Information-Retrieval-through-Set-Based-Preference">
  <title><![CDATA[Improved Information Retrieval through Set-Based Preference]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/236/Improved-Information-Retrieval-through-Set-Based-Preference</link>
  <description><![CDATA[I present a new information retrieval framework based on set-based
preference learning that provides users with individually customized
search results. Advances in information storage and retrieval have
enabled computer users to search immense data repositories for very
specific content. While newer information retrieval algorithms can
provide a much richer result set than traditional term-weighting
methods, they adopt a one-size-fits-all approach. By analyzing a
user's prior sea...]]></description>
  <dc:date>2008-04-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/38/Profile-Driven-Data-Management-for-Pervasive-Environments">
  <title><![CDATA[Profile Driven Data Management for Pervasive Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/38/Profile-Driven-Data-Management-for-Pervasive-Environments</link>
  <description><![CDATA[The past few years have seen significant work in mobile data management,
typically based on the client/proxy/server model. Mobile/wireless devices
are treated as clients that are data consumers only, while data sources are on
servers that typically reside on the wired network. With the advent of "pervasive
computing" environments an alternative scenario arises where mobile devices
gather and exchange data from not just wired sources, but also from their ethereal
environment and one anot...]]></description>
  <dc:date>2002-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1089/General-user-modeling-a-facility-to-support-intelligent-interaction">
  <title><![CDATA[General user modeling: a facility to support intelligent interaction]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1089/General-user-modeling-a-facility-to-support-intelligent-interaction</link>
  <description><![CDATA[An important component of adaptable interactive systems is the ability to model the system's users. Previous systems have relied on user models tailored to the particular needs of that system alone. This paper presents the notion of a general user model and describes some of our research on building a general user modelling facility that could be used by a variety of applications. This work focuses on the representation, maintenance, and acquisition issues of modelling long-term beliefs of th...]]></description>
  <dc:date>1991-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1116/GUMS-A-General-User-Modeling-Shell">
  <title><![CDATA[GUMS — A General User Modeling Shell]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1116/GUMS-A-General-User-Modeling-Shell</link>
  <description><![CDATA[This chapter discusses the application of various kinds of default reasoning in system-maintained models of users. In particular, we describe the general architecture of a domain-independent system for building and maintaining long-term models of individual users. The user modeling system is intended to provide a well-defined set of services for an application system interacting with various users and must build and maintain models of them. As the application system interacts with a user, it ...]]></description>
  <dc:date>1989-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/560/The-Need-for-User-Models-in-Generating-Expert-System-Explanations">
  <title><![CDATA[The Need for User Models in Generating Expert System Explanations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/560/The-Need-for-User-Models-in-Generating-Expert-System-Explanations</link>
  <description><![CDATA[An explanation facility is an important component of an expert system, but current systems, for the most part, have neglected the importance of tailoring a system's explanations to the user. This paper explores the role of user modeling in generating expert system explanations, making the claim that individualized user models are essential to produce good explanations when the system users vary in their knowledge of the domain or in their goals, plans, and preferences. To make this argument, ...]]></description>
  <dc:date>1988-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1110/Default-Reasoning-and-Stereotypes-in-User-Modelling">
  <title><![CDATA[Default Reasoning and Stereotypes in User Modelling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1110/Default-Reasoning-and-Stereotypes-in-User-Modelling</link>
  <description><![CDATA[This article discusses the application of various kinds of default reasoning in systems which must maintain a model of its users. In particular, we describe a general architecture of a domain-independent system for building and maintaining long-term models of individual users. The user modelling system is intended to provide a well-defined set of services for an application system that interacts with various users and needs to build and maintain models of them. As the application system inter...]]></description>
  <dc:date>1988-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/287/Modeling-the-user-in-natural-language-systems">
  <title><![CDATA[Modeling the user in natural language systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/287/Modeling-the-user-in-natural-language-systems</link>
  <description><![CDATA[For intelligent interactive systems to communicate with humans in a natural manner, they must have knowledge about the system users. This paper explores the role of user modeling in such systems. It begins with a characterization of what a user model is and how it can be used. The types of information that a user model may be required to keep about a user are then identified and discussed. User models themselves can vary greatly depending on the requirements of the situation and the implement...]]></description>
  <dc:date>1988-01-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1117/GUMS1-A-General-User-Modeling-System">
  <title><![CDATA[GUMS1 : A General User Modeling System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1117/GUMS1-A-General-User-Modeling-System</link>
  <description><![CDATA[This paper describes a general architecture of a domain-independent system for building and maintaining long-term models of individual users. The user modeling system is intended to provide a well-defined set of services for an application system which is interacting with various users and needs to build and maintain models of them. As the application system interacts with a user, it can acquire knowledge of him and pass that knowledge on to the user model maintenance system for incorporation...]]></description>
  <dc:date>1986-05-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/325/GUMS1-A-General-User-Modeling-System">
  <title><![CDATA[GUMS1: A General User Modeling System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/325/GUMS1-A-General-User-Modeling-System</link>
  <description><![CDATA[This paper describes a general architecture of a domain independent
system for building and maintaining ling term models of individual
users..The user modeling system is intended Io provide a well
defined set of services for an application system which is interacting
with various users and has a need to build and maintain models of
them. As the application system interacts with a user, it can acquire
knowledge of him and pass that knowledge on 1o the user model
Maintenance system for i...]]></description>
  <dc:date>1986-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/199/Personalized-Information-Retrieval-in-Context">
  <title><![CDATA[Personalized Information Retrieval in Context]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/199/Personalized-Information-Retrieval-in-Context</link>
  <description><![CDATA[Personalized content retrieval aims at improving the retrieval process by taking into account the particular interests of individual users. However, not all user preferences are relevant in all situations. It is well known that human preferences are complex, multiple, heterogeneous, changing, even contradictory, and should be understood in context with the user goals and tasks at hand. We propose a method to build a dynamic representation of the semantic context of ongoing retrieval tasks, wh...]]></description>
  <dc:date>2006-09-05</dc:date>
 </item>
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