Calls




Call for Papers

SUBMISSIONS

Papers should be submitted through EasyChair.

The User Modeling, Adaptation, and Personalization (UMAP) 2018 Conference will include high quality peer-reviewed papers related to the above key areas. Maintaining the high quality and impact of the UMAP series, each paper will have three reviews by program committee members and a meta-review presenting the reviewers’ consensual view; the review process will be coordinated by the program chairs in collaboration with the corresponding area chairs.

Long (8 pages + references) and Short (4 pages + references) papers in ACM style Peer reviewed, original, and principled research papers addressing both the theory and practice of UMAP and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts are welcome.

Long papers should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed.

Short papers should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies.

Separation of long and short papers will be strictly enforced so papers will not compete across categories, but only within each category. Papers that receive high scores and are considered promising by reviewers, but didn’t make the acceptance cut, will be directed to the poster session of the conference and will be invited to be resubmitted as posters.


TRACKS
Personalized Recommender Systems

Dietmar Jannach, TU Dortmund, Germany <dietmar.jannach@cs.tu-dortmund.de>
Markus Zanker, Free University of Bolzano-Bozen, Italy <Markus.Zanker@unibz.it>

Personalized, computer-generated recommendations have become a pervasive feature of today’s online world. The underlying recommender systems are designed to help users and providers in a number of ways. From a user’s viewpoint, for example, these systems assist consumers in finding relevant things within large item collections. On the other hand, from a provider’s perspective, recommenders have also shown to be valuable tools to steer consumer behavior. From a technical perspective, the design of such systems requires the careful consideration of various aspects, including the choice of the user modeling approach, the underlying recommendation algorithm, and the user interface. This track aims to provide a forum for researchers and practitioners to discuss open challenges, latest solutions and novel research approaches in the field of recommender systems. Besides the above-mentioned technical aspects, works are also particularly welcome that address questions related to the user perception and the business value of recommender systems.

Topics include (but are not limited to):

  • Recommendation algorithms and their evaluation
  • User modeling and preference elicitation
  • Users’ perception of recommender systems
  • Business value of recommendation systems and multi-stakeholder environments
  • Explanations and trust
  • Context-aware recommendation algorithms
  • Recommending to groups of users
  • Case studies of real-world implementations

  • Adaptive Hypermedia and the Semantic Web

    Peter Brusilovsky, Univ. of Pittsburgh, USA <peterb@pitt.edu>
    Geert-Jan Houben, TU Delft, The Netherlands <g.j.p.m.houben@tudelft.nl>

    Adaptive hypermedia and adaptive web explore alternatives to the traditional “one-size-fits-all” approach in the development of web and hypermedia systems. Adaptive hypermedia and adaptive web systems build a model of the interests, preferences and knowledge of each individual user, and use this model in order to adapt the behavior of hypermedia and web systems to the needs of that user. Semantic web frequently serves as an infrastructure to enable adaptive and personalized Web systems. Semantic web technology targets the use of explicit semantics and metadata to help web systems perform the desired functionality: this implies the use of linked data from the web, the use of ontologies in models, or the use of metadata in user interfaces. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches in adaptive hypermedia and semantic web.

    Topics include (but are not limited to):

  • Web user profiles
  • Adaptive navigation support
  • Personalized search
  • Web content adaptation
  • Analytics of web user data
  • Adaptive Web sites and portals
  • Adaptive books and textbooks
  • Social navigation and social search
  • Navigation support in continuous media and virtual environments
  • Usability engineering for adaptive hypermedia and Web systems
  • Novel methodologies for evaluating adaptive hypermedia and Web systems
  • Semantic Web technologies for Web personalization
  • Ontology-based data access and integration/exchange on the adaptive web
  • Ontology engineering and ontology patterns for the adaoptive web
  • Semantic social network mining, analysis, representation, and management
  • Crowdsourcing semantics; methods, dynamics, and challenges
  • Semantic Web and Linked Data for adaptation

  • Intelligent User Interfaces

    Shlomo Berkovsky, CSIRO, Australia <Shlomo.Berkovsky@csiro.au>
    Markus Schedl, Johannes Kepler University Linz, Austria <markus.schedl@jku.at>

    Intelligent User Interfaces aim to improve the interaction between computer systems and human users by means of Artificial Intelligence. The systems support and complement different types of abilities that are normally unavailable in the context of human-only cognition. Previous work has found that humans do not always make the best possible decisions when working together with computer systems. By designing and deploying improved forms of support for interactive collaboration between human decision makers and systems, we can enable decision making processes that better leverage the strengths of both collaborators. More generally this research track can be characterised by exploring how to make the interaction between computers and people smarter and more productive, which may leverage solutions from human-computer interaction, data mining, natural language processing, information visualisation, and knowledge representation and reasoning.

    Topics include (but are not limited to):

  • Adaptive personal virtual assistants (e.g., Siri, Cortana, Alexa)
  • Adapting natural interaction (e.g., natural language, speech, gesture)
  • Multi-modal interfaces (speech, gestures, eye gaze, face, physiological info, etc.)
  • Intelligent wearable and mobile interfaces
  • Smart environments and tangible computing
  • Transparency and control of decision support systems (e.g., semi-autonomous systems)
  • Explainable intelligent user interfaces
  • Affective and aesthetic interfaces
  • Tailored persuasion and argumentation interfaces
  • Tailored decision support (e.g., over- and under-reliance in uncertain domains)
  • Adaptive information visualization
  • Scalability of intelligent user interfaces to access huge datasets
  • Novel methodologies and real-world implementations of IUI
  • User-centric studies of interactions with intelligent user interfaces
  • Novel datasets and use cases for intelligent user interfaces

  • Technology-Enhanced Adaptive Learning

    Olga Santos, UNED, Spain <ocsantos@dia.uned.es>
    Carla Limongelli, Università Degli Studi Roma Tre, Italy <limongel@dia.uniroma3.it>

    Learning is a very complex human process that involves cognitive, affective and psychomotor aspects. Smart technological solutions are expected to identify and model the learning needs in these three aspects and provide personalized adapted support that can improve the effectiveness and efficiency of learning experiences. Technological innovations bring new opportunities to recognize learner’s needs and how to orchestrate suitable learning solutions, with and without the involvement of the teacher. This covers not only formal educational settings, but also lifelong learning requirements (including workplace training) as well as the acquisition of skills (e.g., in daily activities, serious games, etc.).

    To address the wide spectrum of modeling issues and challenges that can be raised, contributions from various research areas are necessary. Therefore, this track invites researchers, developers, and practitioners from various disciplines to present their innovative learning solutions, share acquired experience, and discuss the main modeling challenges for personalized adaptive learning.

    Topics include (but are not limited to):

  • Domain, learner, teacher and context modeling
  • Modeling cognitive, affective and psychomotor aspects of learning
  • Adaptive and personalized support for learning, diagnosis and feedback
  • Agent-based learning environments and virtual pedagogical agents
  • Open corpus personalized learning
  • Collaborative and group learning
  • UMAP aspects in specific learning solutions: educational recommender systems, intelligent tutoring systems, serious games, personal learning environments, MOOCs ...
  • Wearable technologies and augmented reality in adaptive personalized learning
  • Processing collected data for UMAP: educational data mining, learning analytics, big data, deep learning...
  • Semantic web and ontologies for e-learning
  • Interoperability, portability, and scalability issues
  • Case studies in real-world educational settings

  • Personalized Social Web

    Cecile Paris, CSIRO, Australia <Cecile.Paris@data61.csiro.au>
    Julita Vassileva, University of Saskatchewan, Canada <jiv@cs.usask.ca>

    The massive uptake of numerous social media platforms on the web gave rise the Social Web, where people can obtain, disseminate and share information, interact, collaborate and form communities (social networks), through a variety of means. A number of research questions arise, for example how to model the flow of information through the social web, understand people’s experiences and the effectiveness of online social networks, identify users or communities with behaviour potentially harmful to themselves or others, gain insights into society, or design, develop and evaluate automated personalization tools to improve the individual user experience.

    We invite original submission addressing all aspects of personalization and personal experience in online social systems.

    Topics include (but are not limited to):

  • Personalization of the web experience in social systems
  • Social and crowd-generated data for personalization
  • Wisdom of the crowd, human computation and collective intelligence for personalization
  • Incentives for participation and persuasion in online communities
  • Use of online social data for personalized offline experiences
  • Behavior modeling of individuals, groups, and communities
  • Dynamics of social collaborative systems
  • Analysis of information flows in social networks
  • Opinion mining and social media analytics
  • Biases and individual/local perception in social systems
  • Adaptations based on personality, society, and culture
  • Privacy, perceived security, and trust in social systems
  • Ethical issues involved in studying the social web
  • Personalization algorithms and protocols inspired by human societies
  • Machine learning for personalization
  • Evaluation methodologies for the social web

  • FORMAT DETAILS AND PUBLICATION

    Page limits: Long papers ­ 8 pages + references; Short pages: 4 pages + references.

    Note that the references do not count towards page limits. Papers that exceed the page limits or formatting guidelines will be returned without review.

    Submissions should be single blinded, i.e. authors names should be included in the submissions.

    Papers must be formatted using the ACM SIG Standard (SIGCONF) proceedings template: https://www.acm.org/publications/proceedings-template.

    Please note that ACM changed its templates at the start of 2017, so please ensure that you use the new template and do not reuse an old template.

    All accepted papers will be published by ACM and will be available via the ACM Digital Library. At least one author of each accepted paper must register for the conference and present the paper there.

    AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

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    Call for Workshop Proposals

    UMAP 2018, the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information, is pleased to invite proposals for workshops to be held in conjunction with the conference. The workshops provide a venue to discuss and explore emerging areas of User Modelling and Adaptive Hypermedia research with a group of like-minded researchers and practitioners from Industry and Academia.

    In 2018 our goal is to have a balanced workshop program which comprises workshop formats of different types and a combination of emerging and established topics. Different full-day and half-day workshop formats are possible, for example:

  • Working group meetings around a specific problem or topic; such workshops may wish to ask participants to submit a white paper or position statement.
  • Mini-conferences on specialized topics; such workshops may have their own paper submission and review processes.
  • Mini-competitions or challenges around selected topics with individual or team participation.
  • Interactive discussion meetings focusing on a subtopic in the general User Modelling and Adaptive Personalization research topics.

  • PROPOSAL FORMAT

    The workshop proposals should be PDF documents not exceeding 5 pages, organized as follows:

  • Workshop title and acronym
  • Workshop chair(s), including affiliation, email address, homepage, and experiences in organizing such events
  • Abstract (up to 300 words) and topics
  • Motivation on why the topic is of particular interest at this time
  • Workshop format, discussing the mix of events such as paper, presentations, invited talks, panels, and general discussion
  • Intended audience and expected number of participants
  • List of (potential) members of the program committee (at least 50%have to be confirmed at the time of the proposal)
  • Requested duration (half day or full day)
  • When available, past editions of the workshop, including URLs, a brief statement on the development of the workshop series, e.g., in terms of topics, number of paper submissions and participants, post-workshop publications over the years and acceptance statistics.

  • INSTRUCTIONS

    We encourage both researchers and industry practitioners to submit proposals.

    We encourage interested researchers in submitting a workshop proposal to contact us in advance with workshop ideas, so we can help designing successful proposals. In particular for workshop proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas.

    We strongly suggest to have organizers from different institutions, bringing different perspectives to the workshop topic.

    We welcome workshops with a creative structure that attracts various types of contributions and ensures rich interactions.

    The organizers of accepted workshops will prepare a workshop web site containing the call for papers and detailed information about the workshop organization and timeline. The organizers will be responsible for their own reviewing process and publicity. There will be a conference adjunct proceedings where the workshop papers will be published. Hence, the workshop organizers will need to adhere to the adjunct proceedings publication timeline. Proposals should be submitted in PDF format by email to both workshop chairs by January 14, 2017.

    WORKSHOP CHAIRS
    - Marko Tkalcic (Free University of Bozen-Bolzano, Italy) <marko.tkalcic@unibz.it>
    - Marco de Gemmis (University of Bari Aldo Moro, Italy) <marco.degemmis@uniba.it>

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    Call for Tutorials

    ACM UMAP 2018 is pleased to invite proposals for tutorials to be given in conjunction with the conference. Tutorials are intensive instructional sessions that provide a comprehensive introduction to established or emerging research topics of interest for the UMAP community.

    Topics of interest include, but are not limited to:

  • new user modeling technologies, methods, techniques, and trends (e.g. exploiting data mining and big data analytics for user modeling, evaluation methodologies, data visualization, etc.)
  • user modeling and personalization techniques for specific domains (e.g., health sciences, e-government, e-commerce, cultural heritage, education, internet of things, mobile, music, information retrieval, etc.)
  • application of user modeling and personalization techniques for information retrieval and recommender systems;
  • eliciting and learning user preferences by taking into account users’ emotional state, physical state, personality, trust, cognitive factors.
  • The ideal tutorial should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth.

  • PROPOSAL FORMAT AND SUBMISSION

    Tutorial proposals should not exceed 5 pages, and should contain the following information:

    1. Title and abstract of the tutorial for inclusion on the UMAP 2018 website (200 words maximum).
    2. Tutorial description:
      - learning objectives of the tutorial and relevance to UMAP 2018;
      - a brief outline of the tutorial structure;
      - targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills;
      - practical sessions.
    3. Tutorial length. The tutorial can be full (6 hours) or half day (3 hours).
    4. Other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions.
    5. Name, email address, affiliation and brief professional biography of the tutorial instructor(s), indicating previous training and speaking experience.

    Proposals should be submitted in PDF format by email to both tutorial chairs at
    marko.tkalcic@unibz.it
    marco.degemmis@uniba.it
    by March 11, 2018.
    An acknowledgment will be sent for confirmation.


    EVALUATION CRITERIA

    All proposals will be reviewed by the tutorial chairs. The features that will be evaluated are:

  • ability of the tutorial to contribute to strengthening the foundations of UMAP research;
  • clarity of the tutorial, which should emerge from its description;
  • good organization, as appearing from the outline;
  • background/experience of tutorial instructor(s) in teaching the target topics.

  • Tutorial CHAIRS
    - Marko Tkalcic (Free University of Bozen-Bolzano, Italy) <marko.tkalcic@unibz.it>
    - Marco de Gemmis (University of Bari Aldo Moro, Italy) <marco.degemmis@uniba.it>

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