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<!--
	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/personalization/?t=personalization">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/personalization/?t=personalization]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for personalization]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/314/Multivariate-Time-Series-Analysis-of-Physiological-and-Clinical-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/312/Privacy-Preserving-Distributed-Data-Mining-A-Multi-objective-Optimization-and-Algorithmic-Game-theoretic-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/10/Digital-Content-Personalization-Adaptation-and-Its-Derivation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/9/Introducing-Dr-Hidenari-Kiyomitsu-of-Kobe-University"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/18/Disconnected-Web-Browsing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1065/Sidekick-A-Personal-Agent-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/109/A-Personal-Agent-Application-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/95/On-Creating-Adaptive-Web-Servers-Using-Weblog-Mining"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/333/On-Mining-Web-Access-Logs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/96/Relational-Clustering-Based-on-a-New-Robust-Estimator-with-Application-to-Web-Mining"/>
      <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/resource/html/id/199/Personalized-Information-Retrieval-in-Context"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/314/Multivariate-Time-Series-Analysis-of-Physiological-and-Clinical-Data">
  <title><![CDATA[Multivariate Time Series Analysis of Physiological and Clinical Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/314/Multivariate-Time-Series-Analysis-of-Physiological-and-Clinical-Data</link>
  <description><![CDATA[Patricia Ordóñez Rozo will talk abut her
PhD research

Multivariate Time Series Amalgams (MTSAs) provide an integrated,
multivariate approach to representing clinical and physiological
data. The hybrid representation automates the personalization of
baselines and thresholds based on a patient’s medical history while
also incorporating traditional baselines and thresholds. The
visualization of this representation captures the rate of change of
provider-selected parameters and the ...]]></description>
  <dc:date>2009-09-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/312/Privacy-Preserving-Distributed-Data-Mining-A-Multi-objective-Optimization-and-Algorithmic-Game-theoretic-Approach">
  <title><![CDATA[Privacy Preserving Distributed Data Mining: A Multi-objective Optimization and Algorithmic Game-theoretic Approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/312/Privacy-Preserving-Distributed-Data-Mining-A-Multi-objective-Optimization-and-Algorithmic-Game-theoretic-Approach</link>
  <description><![CDATA[Use of technology for data collection and analysis has seen an unprecedented growth in the last couple of decades. Individuals and organizations generate huge amount of data through everyday activities. This data is either centralized for pattern identification or mined in a distributed fashion for efficient knowledge discovery and collaborative computation. This, obviously, has raised serious concerns about privacy issues. The data mining community has responded to this challenge by deve...]]></description>
  <dc:date>2009-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/10/Digital-Content-Personalization-Adaptation-and-Its-Derivation">
  <title><![CDATA[Digital Content Personalization Adaptation and Its Derivation]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/10/Digital-Content-Personalization-Adaptation-and-Its-Derivation</link>
  <description><![CDATA[This work aims to adapt the page author's (creator's) intentions about his/her Web data and its link structure to personalized Web data.  In our ActiveWeb, the view of web page is changed according to each user's browsing situation including his time, location, and access history as well as aggregated information about the access histories of all users.  This is a metadata approach to Web Dynamics.  We regard profile data of the author's intentions as metadata that is represented in a declara...]]></description>
  <dc:date>2004-02-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing">
  <title><![CDATA[UMBC and IBM collaborate on autonomic computing]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/23/UMBC-and-IBM-collaborate-on-autonomic-computing</link>
  <description><![CDATA[University of Maryland, Baltimore County and IBM Collaborate on 
Autonomic Computing Research

BALTIMORE, February 24, 2005 - IBM today announced a new Shared University Research (SUR) grant awarded a group of faculty researchers of the eBiquity research group at the University of Maryland, Baltimore County to help build a major new center for high performance computational research. 

This SUR grant is part of the latest series of Shared University Research (SUR) awards, bringing IBM's ...]]></description>
  <dc:date>2005-02-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/9/Introducing-Dr-Hidenari-Kiyomitsu-of-Kobe-University">
  <title><![CDATA[Introducing Dr. Hidenari Kiyomitsu of Kobe University]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/9/Introducing-Dr-Hidenari-Kiyomitsu-of-Kobe-University</link>
  <description><![CDATA[Dr. Dr. Hidenari Kiyomitsu is an Associate Professor
at Kobe University who will be visiting the ebiquity group for the Spring 2004 semester.  
His research interests that include multi-media
databases, web personalization and web adaptation.  He is also
interested in how the semantic web technologies can be used to
represent and reason over metadata.  Hide spent the Fall 2004
semester visiting Jim Hendler\'s Mindlab in College Park.
Hide\'s UMBC office is room 358 ITE (the corner offi...]]></description>
  <dc:date>2004-01-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web">
  <title><![CDATA[A Personal Agent Application for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/27/A-Personal-Agent-Application-for-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web is a vision to simplify and improve knowledge
   reuse on the Web. It is all set to alter the way humans benefit
   from the web from active interaction to somewhat passive
   utilization through the proliferation of software agents and in
   particular personal assistants that can better function and thrive
   on the Semantic Web than the conventional web. Agents can parse,
   understand and reason about information available on Semantic Web
   pages in an attempt...]]></description>
  <dc:date>2001-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/18/Disconnected-Web-Browsing">
  <title><![CDATA[Disconnected Web Browsing]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/18/Disconnected-Web-Browsing</link>
  <description><![CDATA[This project addresses issues related to personalization and
asynchronous operation to support wireless access to the web. Currently,
the protocols associated with information browsing have been designed to
work in wired environments that are capable of transmitting and receiving
large amounts of data without significant delays. However, due to the
various resource constraints of the mobile hosts, these protocols do not
operate well in a wireless environment. Also, the current model of ...]]></description>
  <dc:date>1999-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization">
  <title><![CDATA[Web/Data Mining and Personalization]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization</link>
  <description><![CDATA[The evolution of the Internet into the Global Information Infrastructure, coupled with the immense
    popularity of the Web, has also enabled the ordinary citizen to become not just a consumer of information, but also its
    disseminator. The Web, then, is becoming the apocryphal Vox Populi. Given that there is this vast and ever growing
    amount of information, how does the average user quickly find what s/he is looking for -- a task in which the present
    day search engines don'...]]></description>
  <dc:date>1999-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1065/Sidekick-A-Personal-Agent-for-the-Semantic-Web">
  <title><![CDATA[Sidekick: A Personal Agent for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1065/Sidekick-A-Personal-Agent-for-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web is a vision for simplifying and improving knowledge reuse on the Web. It is all set to alter how humans benefit from the Web, from active interaction to somewhat passive use, through the proliferation of software agents and, in particular, personal assistants that can function and thrive on the Semantic Web more effectively than on the conventional Web. Agents can parse, understand, and reason about information available on Semantic Web pages to meet users’ needs. Such pers...]]></description>
  <dc:date>2002-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/109/A-Personal-Agent-Application-for-the-Semantic-Web">
  <title><![CDATA[A Personal Agent Application for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/109/A-Personal-Agent-Application-for-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web is a vision to simplify and improve knowledge reuse on the Web. It is all set to alter the way humans benefit from the Web from active interaction to somewhat passive utilization through the proliferation of software agents and, in particular, personal assistants that can better function and thrive on the Semantic Web than the conventional Web. Agents can parse, understand and reason about information available on Semantic Web pages in an attempt to use it to meet users’ ne...]]></description>
  <dc:date>2002-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/95/On-Creating-Adaptive-Web-Servers-Using-Weblog-Mining">
  <title><![CDATA[On Creating Adaptive Web Servers Using Weblog Mining]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/95/On-Creating-Adaptive-Web-Servers-Using-Weblog-Mining</link>
  <description><![CDATA[Personalization of content returned from a web site is an important problem in general, and
affects e-commerce and e-services in particular. Targeting appropriate information or products
to the end user can significantly change (for the better) the users experience on a web site. One
possible approach to web personalization is to mine typical user profiles from the vast amount
of historical data stored in access logs. In the absence of any a priori knowledge, unsupervised
classification ...]]></description>
  <dc:date>2000-11-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/333/On-Mining-Web-Access-Logs">
  <title><![CDATA[On Mining Web Access Logs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/333/On-Mining-Web-Access-Logs</link>
  <description><![CDATA[The proliferation of information on the world wide web has made
the personalization of this information space a necessity. One
possible approach to web personalization is to mine typical user
profiles from the vast amount of historical data stored in access
logs. In the absence of any a priori knowledge, unsupervised
classification or clustering methods seem to be ideally suited to
analyze the semi-structured log data of user accesses. In this paper,
we define the notion of a “user s...]]></description>
  <dc:date>2000-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/96/Relational-Clustering-Based-on-a-New-Robust-Estimator-with-Application-to-Web-Mining">
  <title><![CDATA[Relational Clustering Based on a New Robust Estimator with Application to Web Mining]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/96/Relational-Clustering-Based-on-a-New-Robust-Estimator-with-Application-to-Web-Mining</link>
  <description><![CDATA[Mining typical user profiles and URL associations from
the vast amount of access logs is an important component
of Web personalization. In this paper, we define the notion
of a �user session� as being a temporally compact
sequence of Web accesses by a user. We also define a
dissimilarity measure between two Web sessions that captures
the organization of a Web site. To cluster the user
sessions based on the pair-wise dissimilarities, we introduce
the Relational Fuzzy C-Maximal Dens...]]></description>
  <dc:date>1999-10-24</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/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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