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(extended deadline) Decisions@RecSys 2013: Cfp ACM RecSys 2013 Workshop on Human Decision Making in Recommender Systems

From: Giovanni Semeraro <giovanni.semeraro@uniba.it>
Date: Mon, 22 Jul 2013 20:41:14 +0200
To: <public-lod@w3.org>
Message-ID: <00d701ce870b$0c095010$241bf030$@uniba.it>
[Apologies for possible multiple posts]










RecSys'13 Workshop on Human Decision Making in Recommender Systems

In conjunction with the 7th ACM Conference on Recommender Systems (RecSys

October 12, 2013, Hong Kong, China

Workshop website: http://recex.ist.tugraz.at/RecSysWorkshop/

Submission deadline: August 1st, 2013 (*extended*)





Users interact with recommender systems to obtain useful information about
products or services that may be of interest for them. 

But, while users are interacting with a recommender system to fulfill a
primary task, which is usually the selection of one or more 

items, they are facing several other decision problems. For instance, they
may be requested to select specific feature values 

(e.g., camera's size, zoom) as criteria for a search, or they could have to
select feedback features to be critiqued in a critiquing 

based recommendation session, or they may need to select a repair proposal
for inconsistent user preferences when interacting with a 

recommender. In all these scenarios, and in many others, users of
recommender systems are facing decision tasks. 

The complexity of decision tasks, limited cognitive resources of users, and
the tendency to keep the overall decision effort as low 

as possible is modeled by theories that conjecture "bounded rationality",
i.e., users are exploiting decision heuristics rather than 

trying to take an optimal decision. Furthermore, preferences of users will
likely change throughout a recommendation session, i.e., 

preferences are constructed in a specific decision environment and users may
not fully know their preferences beforehand. 

Theories from decision psychology and cognitive psychology have already
elaborated a number of methodological tools for explaining 

and predicting the user behavior in these scenarios, but recommender systems
hardly integrate this knowledge in the computational model. 


The major goal of this workshop is to establish a platform for industry and
academia to present and discuss new ideas and research results 

that are related to the topic of human decision making in recommender


We are specifically interested in the role of decision theories in 

advancing recommender systems research and applications. 




I) Theories, algorithms and applications


-     Decision theories in recommender systems (e.g., priming, framing, and
decoy effects) 

-     Trust inspiring recommendation (e.g., explanation-aware

-     Persuasive recommendation (e.g., argumentation-aware recommendation) 

-     The role of emotions in recommender systems (e.g., emotion-ware

-     Mechanisms for effective group decision making (e.g., group
recommendation heuristics) 

-     Detection and avoidance of decision biases (e.g., in item

-     Personality-based recommender systems

-     Sequential decision making and selection

-     Applications of the above mentioned features  


II) User modeling and preference elicitation


-     Modeling user information search and decision making processes in
recommender systems

-     Preference elicitation (e.g., eye tracking for automated preference

-     Adaptive recommendation processes

-     Active approaches to preference elicitation


III) User interfaces


-     User interfaces for decision making (e.g., decision strategies and
user ratings) 

-     User interfaces for group decision making (e.g., group decision making
in e-tourism) 

-     Explanations in Recommender Systems


IV) Evaluation 


-     User perceptions leading to the acceptance of recommendations

-     The role of diversity and serendipity for the acceptance of

-     Cultural differences (e.g., culture-aware recommendation) 

-     Empirical studies and innovative metrics of system performance





Submit either a full paper (8 pages) or a short paper (4-6 pages). 

Short papers may address an important problem for further research or
describe a practical problem or an interesting lesson learned. 

In addition, we solicit proposals for short demonstrations (2-4 pages), and
software demonstrations taking at most 15 minutes), 

emphasizing the original contribution, functionality or conceptual
foundation of the system. 

All submissions will be handled electronically in PDF format. The
submissions should follow the RecSys-2013 submissions guideline. 


Papers should be submitted via EasyChair submission system

(https://www.easychair.org/conferences/?conf=decisionsrecsys13). If you have
used EasyChair before, you may use your existing username and password.

Otherwise please create a new EasyChair account.

Each submission is refereed by at least two members of the program

Refereeing criteria are relevance to workshop topics, significance and
novelty of the research, technical content, discussion on relation to

work and clarity of presentation. A contribution submitted as a long paper
may be accepted as a short paper, if the program committee considers it to 

be inadequate for a long paper but to present an important issue. At least
one author of each accepted paper is required to attend the workshop to

the paper.





- Li Chen, Hong Kong Baptist University

- Marco de Gemmis, University of Bari Aldo Moro, Italy

- Alexander Felfernig, Graz University of Technology

- Pasquale Lops, University of Bari Aldo Moro, Italy

- Francesco Ricci, University of Bozen-Bolzano, Italy

- Giovanni Semeraro, University of Bari Aldo Moro, Italy

- Martijn Willemsen, Eindhoven University of Technology 

Received on Monday, 22 July 2013 18:42:00 UTC

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