IEEE Transactions on Knowledge and Data Engineering
Hybrid critiquing-based recommender systems
Proceedings of the 12th international conference on Intelligent user interfaces
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
Information Systems Research
Persuasion in Recommender Systems
International Journal of Electronic Commerce
Interfaces for eliciting new user preferences in recommender systems
UM'03 Proceedings of the 9th international conference on User modeling
Acceptance issues of personality-based recommender systems
Proceedings of the third ACM conference on Recommender systems
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
The Journal of Machine Learning Research
Design and user issues in personality-based recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Learning to ask the right questions to help a learner learn
Proceedings of the 16th international conference on Intelligent user interfaces
Enhancing collaborative filtering systems with personality information
Proceedings of the fifth ACM conference on Recommender systems
A study on user perception of personality-based recommender systems
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
The quest for validated personality trait stories
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
User effort vs. accuracy in rating-based elicitation
Proceedings of the sixth ACM conference on Recommender systems
Integrating the anchoring process with preference stability for interactive movie recommendations
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
Tutorial on application-oriented evaluation of recommendation systems
AI Communications
A genre-based fuzzy inference approach for effective filtering of movies
Intelligent Data Analysis
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We conducted a user study evaluating two preference elicitation approaches based on ratings and personality quizzes respectively. Three criteria were used in this comparative study: perceived accuracy, user effort and user loyalty. Results from our study show that the perceived accuracy in two systems is not significantly different. However, users expended significantly less effort, both perceived cognitive effort and actual task time, to complete the preference profile establishing process in the personality quiz-based system than in the rating-based system. Additionally, users expressed stronger intention to reuse the personality quiz-based system and introduce it to their friends. After using these two systems, 53% of users preferred the personality quiz-based system vs. 13% of users preferred the rating-based system, since most users thought the former is easier to use.