HDMRS 2012 - Workshop on Human Decision Making in Recommender Systems
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Website recsys.acm.org/2012 |
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Category HDMRS 2012
Deadline: June 08, 2012 | Date: September 09, 2012
Venue/Country: Dublin, Ireland
Updated: 2012-05-02 23:27:49 (GMT+9)
Call For Papers - CFP
This workshop is focusing on the aspect of integrating different theories of human decision making into the construction of recommender systems. Topics of interest include but are not limited to:Theories, algorithms and applicationsDecision 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 selectionApplications of the above mentioned featuresUser modeling and preference elicitationModelling user information search and decision making processes in recommender systemsPreference elicitation (e.g., eye tracking for automated preference detection)Adaptive recommendation processesActive approaches to preference elicitationUser interfacesUser 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 SystemsEvaluationUser perceptions leading to the acceptance of recommendationsThe role of diversity and serendipity for the acceptance of recommendationsCultural differences (e.g., culture‐aware recommendation)Empirical studies and innovative metrics of system performanceImportant datesPaper submission deadline: June 15thNotification of acceptance: July 15thCamera-ready version deadline: July 31stWorkshop day: September 9th
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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