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      <title-group>
        <article-title>4 Workshop on Context-Aware Recommender Systems (CARS 2012)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Gediminas Adomavicius</string-name>
          <email>gedas@umn.edu</email>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Linas Baltrunas</string-name>
          <email>linas@tid.es</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tim Hussein</string-name>
          <email>tim.hussein@uni-due.de</email>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Algorithms, Design, Experimentation, Human Factors,</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ernesto William de Luca</string-name>
          <email>deluca@fh-potsdam.de</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alexander Tuzhilin</string-name>
          <email>atuzhili@stern.nyu.edu</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Measumerment</institution>
          ,
          <addr-line>Performance.</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>New York University</institution>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Telefonica Research</institution>
          ,
          <country country="ES">Spain</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>University of Applied Sciences Potsdam</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>University of Duisburg-Essen</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>University of Minnesota</institution>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2012</year>
      </pub-date>
      <abstract>
        <p>CARS 2012 builds upon the success of the three previous editions held in conjunction with the 3rd to 5th ACM Conferences on Recommender Systems from 2009 to 2011. The 1st CARS Workshop was held in New York, NY, USA, whereas Barcelona, Spain, was home of the 2nd CARS Workshop in 2010. In 2011, the 3rd CARS workshop was held in Chicago, IL, USA.</p>
      </abstract>
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    <sec id="sec-1">
      <title>-</title>
      <p>H.3.3 [Information Storage and Retrieval]: Information Search
and Retrieval – information filtering, relevance feedback,
retrieval models, search process, selection process.
Recommender systems, context-aware systems, contextual
information, context modeling.
1.</p>
    </sec>
    <sec id="sec-2">
      <title>WORKSHOP GOALS</title>
      <p>The importance of contextual information has been recognized by
researchers and practitioners in many disciplines, including
ecommerce personalization, information retrieval, ubiquitous and
mobile computing, data mining, marketing, and management.
While a substantial amount of research has already been
performed in the area of recommender systems, the vast majority of
existing approaches focuses on recommending the most relevant
items to users and does not take into account any additional
contextual information, such as time, location, weather, or the
company of other people. Therefore, this workshop aims to bring
together researchers with wide-ranging backgrounds to identify
important research questions, to exchange ideas from different
research disciplines, and, more generally, to facilitate discussion
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      <p>Context modeling techniques for recommender systems;
Context-aware user modeling for recommender
systems;
Data sets for context-dependent recommendations;
Algorithms for detecting the relevance of contextual
data;
Algorithms for incorporating contextual information
into recommendation process;
Algorithms for building explicit dependencies between
contextual features and ratings;
Interacting with context-aware recommender systems;
Novel applications for context-aware recommender
systems;
Mobile context-aware recommender systems;
Context-aware group recommendations;
Large-scale context-aware recommender systems;</p>
      <p>Evaluation of context-aware recommender systems.</p>
      <p>Additional information about the workshop and its program can
be found on the workshop website.1
2.</p>
    </sec>
    <sec id="sec-3">
      <title>WORKSHOP FORMAT</title>
      <p>CARS will be organized as a full day event, in which authors of
selected papers will present their work to the workshop audience.
Depending on the number of participants, interactive elements
such as plenary discussions are planned.</p>
    </sec>
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