ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Alexander Felfernig <[log in to unmask]>
Reply To:
Alexander Felfernig <[log in to unmask]>
Mon, 4 Oct 2010 18:04:05 +0200
text/plain (115 lines)

Special Issue on User Interfaces for Recommender Systems

User Modeling and User-Adapted Interaction:
The Journal of Personalization Research
(An international journal published by Springer Verlag)

UMUAI Web site:



Recommender systems provide valuable support for users who are searching 
for products and services that fit their wishes and needs. The practical 
relevance of these systems is shown by a variety of commercial 
applications such as Amazon, Netflix, Trip Advisor, or Yahoo. 
Recommender systems research has long focused on optimizing the 
predictive accuracy of recommendation and filtering algorithms, a trend 
epitomized by the recent Netflix prize. An extremely important dimension 
not captured in this attention on predictive accuracy is the nature and 
perceived qualities of recommender systems from the user’s point of 
view. The user interface (UI) of a recommender system can have a 
critical and decisive effect on factors such as the overall system 
usability, system acceptance, item rating behavior, selection behavior, 
trust, willingness to buy, willingness to reuse the recommender system, 
and the willingness to promote the system to other persons.

Recommender user interface research has become increasingly popular in 
this highly interdisciplinary research field. Due to the high interest 
in this topic (e.g., ACM Conference on Recommender Systems, IUI 
Conference Series, UMAP Conference Series, ICCBR Conference Series, 
IJCAI Conference Series, and different workshops on Recommender Systems) 
we are preparing a journal special issue on “User Interfaces for 
Recommender Systems”. The goal of this special issue is to show novel 
and innovative research in the field. We encourage the submission of 
both studies aimed at modeling and studying the effect of UI design on 
user assessment, and case studies illustrating innovative UI techniques 
applied to recommender systems. More specifically, topics of interest 
include but are not limited to:
- Psychological issues in recommender user interfaces
- Recommender user interfaces and usability aspects
- Evaluation of the perceived qualities of recommender systems
- Cultural influences on recommender user interfaces
- Argumentation and explanation in recommender systems
- Consumer behavior and decision modeling for recommender systems
- Modeling recommendation dialogs and dialog strategies
- Preferences elicitation in recommender systems
- Personalized interfaces for knowledge acquisition and maintenance
- Recommendation of complex products and services
- Innovative interfaces and media for recommender systems


Submissions to the special issue should follow the UMUAI formatting 
guidelines and submission instructions available at:

Each submission should note that it is intended for the Special Issue on 
User Interfaces for Recommender Systems.
Potential authors are asked to submit a tentative title and short 
abstract (which can be altered for the actual submission) as soon as 
possible to assist in the formation of a panel of appropriate reviewers.

UMUAI is an archival journal that publishes mature and substantiated 
research results on the (dynamic) adaptation of computer systems to 
their human users, and the role that a model of the system about the 
user plays in this context. Many articles in UMUAI are quite 
comprehensive and describe the results of several years of work. 
Consequently, UMUAI gives "unlimited" space to authors (so long as what 
they write is important).
Authors whose paper exceeds 40 pages in journal format (including 
illustrations and references) are however requested to supply a short 
justification upon submission that explains why a briefer discussion of 
their research results would not be advisable.

Submissions will undergo the normal review process, and will be reviewed 
by three established researchers selected from a panel of reviewers 
formed for the special issue. Barring unforeseen problems, authors can 
expect to be notified regarding the review results within three months 
of submission.

- Notification of Intent to Submit: as soon as possible
- Submission of Title and Abstract: Nov 5th, 2010
- Manuscript Submission: Dec 1st, 2010

Submission site (also for abstracts):


Prof. Robin Burke, DePaul University of Chicago
email: [log in to unmask]

Prof. Alexander Felfernig, Graz University of Technology
email: [log in to unmask]

Dr. Pearl Pu, Ecole Polytechnique Fédérale de Lausanne (EPFL)
email:[log in to unmask]

If you have any questions do not hesitate to ask the guest editors.

                To unsubscribe, send an empty email to
     mailto:[log in to unmask]
    For further details of CHI lists see