GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
User modeling in the design of interactive interface agents
UM '99 Proceedings of the seventh international conference on User modeling
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
User Modeling and User-Adapted Interaction
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
User evaluation of Físchlár-News: An automatic broadcast news delivery system
ACM Transactions on Information Systems (TOIS)
Naïve filterbots for robust cold-start recommendations
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
SuggestBot: using intelligent task routing to help people find work in wikipedia
Proceedings of the 12th international conference on Intelligent user interfaces
Expert Systems with Applications: An International Journal
Effective explanations of recommendations: user-centered design
Proceedings of the 2007 ACM conference on Recommender systems
Proceedings of the 6th international conference on Mobile and ubiquitous multimedia
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
AVI '08 Proceedings of the working conference on Advanced visual interfaces
ACM Transactions on Information Systems (TOIS)
Cross-representation mediation of user models
User Modeling and User-Adapted Interaction
A comparative user study on rating vs. personality quiz based preference elicitation methods
Proceedings of the 14th international conference on Intelligent user interfaces
Learning preferences of new users in recommender systems: an information theoretic approach
ACM SIGKDD Explorations Newsletter
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Interaction design guidelines on critiquing-based recommender systems
User Modeling and User-Adapted Interaction
Evaluating preference-based search tools: a tale of two approaches
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
Personalised acquisition of user preferences in Smart Homes
IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
Expert Systems with Applications: An International Journal
A portable toolkit for supporting end-user personalization and control in context-aware applications
Multimedia Tools and Applications
Usability engineering for the adaptive web
The adaptive web
Using affective parameters in a content-based recommender system for images
User Modeling and User-Adapted Interaction
Static preference models for options with dynamic extent
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Each to his own: how different users call for different interaction methods in recommender systems
Proceedings of the fifth ACM conference on Recommender systems
A user-centric evaluation framework for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Learning with personalized recommender systems: A psychological view
Computers in Human Behavior
ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security
An economic model of user rating in an online recommender system
UM'05 Proceedings of the 10th international conference on User Modeling
The lookahead principle for preference elicitation: experimental results
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction
ACM Transactions on Interactive Intelligent Systems (TiiS)
User profiling vs. accuracy in recommender system user experience
Proceedings of the International Working Conference on Advanced Visual Interfaces
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
User effort vs. accuracy in rating-based elicitation
Proceedings of the sixth ACM conference on Recommender systems
Inspectability and control in social recommenders
Proceedings of the sixth ACM conference on Recommender systems
Rating support interfaces to improve user experience and recommender accuracy
Proceedings of the 7th ACM conference on Recommender systems
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
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Recommender systems build user models to help users find the items they will find most interesting from among many available items. One way to build such a model is to ask the user to rate a selection of items. The choice of items selected affects the quality of the user model generated. In this paper, we explore the effects of letting the user participate in choosing the items that are used to develop the model. We compared three interfaces to elicit information from new users: having the system choose items for users to rate, asking the users to choose items themselves, and a mixed-initiative interface that combines the other two methods. We found that the two pure interfaces both produced accurate user models, but that directly asking users for items to rate increases user loyalty in the system. Ironically, this increased loyalty comes despite a lengthier signup process. The mixed-initiative interface is not a reasonable compromise as it created less accurate user models with no increase in loyalty.