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</o:shapelayout></xml><![endif]--></head><body lang=DE link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span lang=EN-US>********************************************************************<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>2nd CALL FOR PAPERS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Special Issue on User Acceptance of Recommender Systems <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>User Modeling and User-Adapted Interaction:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>The Journal of Personalization Research (UMUAI)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US> *** Extended abstract submission deadline: February 1, 2014<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> *** Paper submission deadline (for accepted abstracts): March 31, 2014<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal>UMUAI Web site: <a href="http://www.umuai.org/">http://www.umuai.org/</a><o:p></o:p></p><p class=MsoNormal><span lang=EN-US>*********************************************************************<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>SCOPE <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>The personalized recommendation of additional items of interest has become a standard functionality on many modern e-commerce sites and social web platforms. In parallel, the field of recommender systems (RS) has emerged as a research discipline of its own during the last two decades. Both in industry and academia, the main questions are "Which goals should a recommender system pursue in order to be effective?" and "What should we recommend to a user at a given point in time, and how should the interaction with the user look like in order to achieve these goals?"<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Research in recommender systems is related to a number of other disciplines, including information retrieval, human-computer interaction, and machine learning. It also touches aspects of human decision making, consumer psychology and marketing. Correspondingly, there are various ways in which researchers try to assess the effectiveness, quality and ultimately the user acceptance of a recommender system through user studies or offline experiments.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Historically, measures that assess the accuracy of individual recommendation algorithms based on log data have dominated the research field. Over the years, however, a number of additional factors have been identified, which can have an influence on the user's perceived quality of a recommender system including the diversity or serendipity of recommendations but also how recommendations are presented to users. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>In the last few years, increased interest in these topics can be observed in the research community, which resulted in a number of research papers, dedicated workshops or comprehensive frameworks and alternative approaches for user-centered system evaluation. The special issue focuses on research that deals with user-centered quality factors. It will comprise a collection of mature works and in-depth studies that are based on the developments and insights resulting from these recent research efforts. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>The topics of interest include both reports on novel approaches, and studies assessing users' perception of recommender systems as well as methodological questions:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>* Comparative analyses of potential quality factors impacting the <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> acceptance of recommenders including perceived prediction accuracy,<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> utility, diversity, novelty, serendipity, or familiarity <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> of recommendations, as well as decision effort, trust, privacy<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> or popularity aspects;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* The role of user personality and other psychological factors <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> for recommender systems;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Studies on the impact of recommender systems on decision making;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Explanations and other persuasive aspects of recommender systems;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Design guidelines and UI aspects for user acceptance of recommender <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> systems;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Novel experimental approaches and frameworks for user-centered <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> evaluation of RS including implicit user feedback measures such <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> as eye-tracking and other sensor-based techniques;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Methodological questions for the user-centered evaluation of RS, <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> including study design, methods for statistical analysis and <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> reproducibility;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Predicting RS success and acceptance based on offline experimental <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> designs and multi-metric studies;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Real-world studies of recommender systems' perception and <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> acceptance;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Business- and marketing-oriented perspectives and success factors;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* Theoretical models explaining RS impact including social <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> influence models;<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>PAPER SUBMISSION & REVIEW PROCESS<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>The prospective authors must first submit an extended abstract of no more than 4 single-spaced pages, formatted with 12 pt font and 1 inch margins, by email directly to the special issue editors by February 1, 2014. Also send a completed UMUAI self-assessment form that can be found at <a href="http://www.umuai.org/self-assessment.html">http://www.umuai.org/self-assessment.html</a> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>All submitted abstracts will receive an initial screening by the special issue editors. Authors of abstracts will be notified about the results of the initial screening by *** February 10, 2014 ***. Abstracts that do not pass this initial screening (i.e., the abstracts that are deemed not to have a reasonable chance of acceptance) will not be considered further. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Authors of abstracts that pass the initial screening will be invited to submit the full version of the paper by *** March 31, 2014 ***. The formatting guidelines and submission instructions for full papers can be found at <a href="http://www.umuai.org/paper_submission.html">http://www.umuai.org/paper_submission.html</a>. Papers should not exceed 40 pages in journal format. Each paper submission should note that it is intended for the Special Issue on User Acceptance of Recommender Systems and be submitted via email to the address mentioned in the submission instructions above (<a href="mailto:submission@umuai.org">submission@umuai.org</a>).<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>The tentative timeline for the special issue is as follows:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* February 1, 2014: Submission of extended abstracts<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* February 10, 2014: Notification regarding abstracts<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* March 31, 2014: Submission of full papers<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* June 30, 2014: First round review notifications<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* September 15, 2014: Revised papers due<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* November 15, 2014: Final notifications due<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* December 15, 2014: Camera ready papers due<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>* February 15, 2015: Publication of special issue<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal>GUEST EDITORS<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Dietmar Jannach, TU Dortmund, Germany<o:p></o:p></p><p class=MsoNormal><a href="mailto:dietmar.jannach@tu-dortmund.de">dietmar.jannach@tu-dortmund.de</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Markus Zanker, Alpen-Adria-Universität Klagenfurt, Austria<o:p></o:p></p><p class=MsoNormal><a href="mailto:markus.zanker@aau.at">markus.zanker@aau.at</a><o:p></o:p></p></div></body></html>