** New submission deadline: June 11th, 2012 **
> [apologies for cross-postings, please distribute]
>
> -----------------------------------------------------------
> *Special Sesssion on Human Factors in Information Retrieval and
> Recommender Systems*
> http://ismis2012.loria.fr/
>
> As part of The International Symposium on Methodologies for
> Intelligent Systems (ISMIS 2012)
> Macau, China, 4-7 December 2012
> http://www.fst.umac.mo/wic2012/ISMIS/
>
> *[Scope and Objectives] *
>
> Through numerous research programs, competitions, and economic
> surveys, automated information retrieval systems and recommender
> systems have been proven to be efficient and useful by reducing the
> cognitive load and time required during the search and access to data.
> Over the past two decades of research within this field, this
> improvement of human-computer interactions is mainly relying on
> increasing systems' accuracy at different levels. Usage mining
> techniques aim at inferring accurate preferences, habits, and
> interests and building profiles from users' actions. Collaborative and
> content-based filtering make use of these profiles to provide users
> with relevant recommendations. Ontology-based systems formally define
> concepts within a domain, thus reducing ambiguity. All these machine
> learning models and algorithms are evaluated relatively to true risk
> and empirical risk, leading to very accurate contents. Yet, a crucial
> aspect is missing within these evaluation metrics. It does not take
> into account human factors playing a role within the decision process.
> Even the most relevant information is not sufficient to maximize
> users' acceptance/adoption rate, and satisfaction. The time has come
> to design holistic intelligent systems that provide the right
> information at the right time, in the correct manner, in agreement
> with users' policy and with valuable arguments. New challenges consist
> in: (1) identifying human factors that play a role within decision
> making an/or maximize users' acceptance, adoption and satisfaction,
> (2) integrating these factors in machine learning algorithms, (3)
> designing interfaces to improve human-computer interactions.
>
> *[Topics of interest]*
> Topics of interest include (but are not limited to) the following:
> - Human factors and decision making (diversity, personality, emotions,
> mood, culture, ...)
> - Preserving privacy while modeling users and recommending items
> - Trust and reputation
> - Context and information retrieval
> - Impact of recommenders on decision process
> - Multi-criteria optimization (privacy vs. accuracy, diversity vs.
> similarity, scalability vs. time constraints, ...)
> - User studies (identifying human factors, evaluation of recommender
> systems)
> - Social influence (leaders, explicit and implicit social networks,
> maximizing acceptance, manipulation...)
> - User-centered design and adaptation of interfaces
> - Presentation and explanations in recommender systems
> - Visual representation of data
>
> *[Paper Submissions]*
> Authors are invited to submit original unpublished manuscripts that
> demonstrate current research on one or several of the special session
> topics of interest. Papers should be prepared using the Springer
> LNCS/LNAI style with a maximum of 10 pages. All submitted papers will
> be reviewed by the following program committee of this session.
>
> Paper should be submitted in PDF form via ISMIS 2012 Online Submission
> System:
> http://wi-lab.com/cyberchair/2012/ismis12/scripts/submit.php?subarea=HFIR
>
> While submitting the paper, please remember to mark as part of the
> "Special Session on Human Factors in Information Retrieval and
> Recommender Systems".
>
> *[Important Dates] *
> Electronic submission of full papers : *June 11, 2012 *
> Notification of paper acceptance : August 1, 2012
> Camera-ready of accepted papers : August 31, 2012
> Conference : December 5-7, 2012
>
> *[Special Session Organizers] *
> Anne Boyer, LORIA, Lorraine University, France
> Sylvain Castagnos, LORIA, Lorraine University, France
>
> *[Program Committee]*
>
> * Anne Boyer (LORIA, Lorraine University, Nancy - France)
> * Shlomo Berkovsky (CSIRO, TasICT Centre, Hobart - Australia)
> * Robin Burke (DePaul University, Chicago - USA)
> * Sylvain Castagnos (LORIA, Lorraine University, Nancy - France)
> * Li Chen (Hong Kong Baptist University, China)
> * Nathalie Denos (LIG, Grenoble - France)
> * Patrick Gallinari (LIP6, Paris - France)
> * Dietmar Jannach (University of Dortmund, Germany)
> * Alfred Kobsa (University of California, Irvine - USA)
> * Judith Masthoff (University of Aberdeen, Scotland - UK)
> * Cecile Paris (CSIRO ICT Centre, Australia)
> * Liana Razmerita (CBS, Copenhagen - Denmark)
> * Francesco Ricci (University of Bozen-Bolzano, Italy)
> * Michael Thelwall (University of Wolverhampton, UK)
>
>
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