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Decisions@RecSys 2012 : RecSys'12 Workshop on Human Decision Making in Recommender Systems


When Sep 9, 2012 - Sep 9, 2012
Where Dublin, Ireland
Submission Deadline Jun 15, 2012
Notification Due Jul 15, 2012
Final Version Due Jul 31, 2012
Categories    recommender systems   information filtering   decision making   artificial intelligence

Call For Papers


RecSys'12 Workshop on Human Decision Making in Recommender Systems
In conjunction with the 6th ACM Conference on Recommender Systems (RecSys ’12)
September 9-13, 2012, Dublin, Ireland
Workshop website:
Submission deadline: June 15th, 2012


Interacting with a recommender system means to take different decisions such as selecting a song/movie from a recommendation list, selecting specific feature values (e.g., camera’s size, zoom) as criteria, selecting feedback features to be critiqued in a critiquing based recommendation session, or selecting a repair proposal for inconsistent user preferences when interacting with a knowledge-based recommender. In all these scenarios, users have to solve a decision task.

The complexity of decision tasks, limited cognitive resources of users, and the tendency to keep the overall decision effort as low as possible lead to the phenomenon of bounded rationality, i.e., users exploit 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 do not know their preferences beforehand.

Decision making under bounded rationality is a door opener for different types of non-conscious influences on the decision behavior of a user. Theories from decision psychology and cognitive psychology are trying to explain these influences, for example, decoy effects and defaults can trigger significant shifts in item selection probabilities; in group decision scenarios, the visibility of the preferences of other group members can have a significant impact on the final group decision.

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 systems.


I) Theories, algorithms and applications

- Decision theories in recommender systems (e.g., priming, framing, and decoy effects)
- Trust inspiring recommendation (e.g., explanation-aware recommendation)
- Persuasive recommendation (e.g., argumentation-aware recommendation)
- The role of emotions in recommender systems (e.g., emotion-ware recommendation)
- Mechanisms for effective group decision making (e.g., group recommendation heuristics)
- Detection and avoidance of decision biases (e.g., in item presentations)
- 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 detection)
- 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 recommendations
- Cultural differences (e.g., culture-aware recommendation)
- Empirical studies and innovative metrics of system performance


Submit either a full paper of no more than 8 pages, or a short paper (at most 4 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 (at most 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-2012 style guide (paper templates are provided in Microsoft Word and LaTeX on the conference website:

Papers should be submitted via EasyChair submission system
( 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 committee.
Refereeing criteria are relevance to workshop topics, significance and novelty of the research, technical content, discussion on relation to previous 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 present the paper.


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

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