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amon rapp <[log in to unmask]>
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amon rapp <[log in to unmask]>
Wed, 28 Feb 2018 14:47:49 +0100
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*** Apologies for cross postings ***

Holistic User Modeling - Novel Methodologies to Exploit Heterogeneous
Personal Data
(HUM@UMAP 2018)

co-located with UMAP 2018 ( - Singapore
8-11th July 2018

For any information: [log in to unmask]; [log in to unmask]


According to a recent claim by IBM, 90% of the data available today have
been created in the last two years. This exponential growth of personal
information has given new life to research in the area of user modelling
and personalization, since information about users’ preferences, sentiment
and opinions, as well as signals describing their physical and
psychological state, can now be obtained by mining data gathered from many
heterogeneous sources.

How can we use such data drive personalization and adaptation mechanisms?
How can we effectively merge such data to obtain a holistic representation
of all (or some of) the facets describing people? What kinds of usage
scenarios can be envisioned? What kinds of services can be enabled by all
these personal data?

The workshop aims to provide a forum for discussing open problems,
challenges and innovative research approaches in the area to build a new
generation of personalized and intelligent systems in domains as diverse as
health, learning, behavior change, e-government, smart cities that exploit
multiple data points (e.g., by combining mood data and music preferences
data to provide recommendations on music to be listened).

Topics of interests include but are not limited to:

Applications exploiting Personal data (e.g. physiological, emotional,
personality, Linked data, Social Data) to provide personalized services

Behavior change systems
- Health management systems
- Games and gamified applications
- Recommender systems
- e-Government domain
- Online Monitoring based on Social Data (Social CRM, Brand Analysis, etc.)
- Intelligent and Personalized Smart Cities-related Applications (e.g.
Event Detection, Incident Detection, - Personalized Planners, etc.)
- Methodologies for including heterogeneous personal data in User Models

Architectures for User Modeling merging heterogeneous data points
- User Modeling based on Semantic Content Analysis of Social and Linked
Open Data
- User Modeling based on data coming from wearable devices
- User Modeling based on Emotions, physiology, and Personality Traits
- Lifelogging User Models

Open Issues in User Modeling and Personalization
- New usage scenarios where to leverage personal data
- Critical reflections on personalization exploiting personal data
- Ethical issues and Privacy management of Personal and Social data
- Need for transparency (e.g., GDPR Regulation)
- Temporal Aspects in User Models
- Tracking implicit feedbacks (e.g. social activities) to infer user

We encourage the submission of original contributions, investigating novel
methodologies to exploit heterogeneous personal data

(A) Full research papers (max 4 pages + 1 reference - ACM format);
(B) Short Research papers and Demos (max 2 pages + 1 reference - ACM

Submission site:

All submitted papers will be evaluated by at least two members of the
program committee, based on originality, significance, relevance and
technical quality. Papers should be formatted according to the ACM SIG
proceedings template:
Note that the references do not count towards page limits. Submissions
should be single blinded, i.e. authors names should be included in the

Submissions must be made through the EasyChair conference system prior the
specified deadline (all deadlines refer to GMT). At least one of the
authors should register and take part at the conference to make the

All accepted papers will be published by ACM as a joint volume of Extended
UMAP 2018 Proceedings and will be available via the ACM Digital Library. At
least one author of each accepted paper must register for the particular
workshop and present the paper there.

* Full paper submission: April 20, 2018
* Paper notification: May 15, 2018
* Camera-ready paper: May 27, 2018

Cataldo Musto - University of Bari, Italy
Amon Rapp - University of Torino, Italy
Federica Cena - University of Torino, Italy
Frank Hopfgartner - University of Glasgow
Judy Kay - University of Sydney, Australia.
Giovanni Semeraro - University of Bari, Italy

Esma Aimeur - University of Montreal
Shlomo Berkovsky - CSIRO, Australia
Ludovico Boratto - EURECAT, Spain
Peter Dolog - Aalborg University, Denmark
Bruce Ferwerda - Jonkoping University, Sweden
Fabio Gasparetti - Universita degli Studi Roma Tre, Italy
Cristina Gena - University of Torino, Italy
Cathal Gurrin - Dublin City University
Eelco Herder - Radboud Universiteit Nijmegen
Tsvika Kuflik - University of Haifa, Israel
Bob Kummerfeld - University of Sydney Australia
Fedelucio Narducci - University of Bari, Italy
Denis Parra - Pontificia Universidad Catholica de Chile
Marco Polignano - University of Bari, Italy
Gaetano Rossiello - University of Bari, Italy
Giuseppe Sansonetti - Universita degli Studi Roma Tre, Italy
Christoph Trattner - University of Bergen, Norway

Amon Rapp Ph.D.

University of Torino - Computer Science Department Svizzera, 185 - Torino, Italy

Email: [log in to unmask]
Mobile: +39 346 2142386 <+39%20346%20214%202386>
Skype: amonrp

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