Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Quantitative and qualitative evaluation of Darpa Communicator spoken dialogue systems
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Developing a flexible spoken dialog system using simulation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
Being Old Doesn’t Mean Acting Old: How Older Users Interact with Spoken Dialog Systems
ACM Transactions on Accessible Computing (TACCESS)
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
The effect of linguistic devices in information presentation messages on comprehension and recall
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Evaluating the effectiveness of information presentation in a full end-to-end dialogue system
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
User Modeling and User-Adapted Interaction
Computer Speech and Language
A strategy for information presentation in spoken dialog systems
Computational Linguistics
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We report the results of a Wizard-of-Oz (WoZ) study comparing two approaches to presenting information in a spoken dialogue system generating flight recommendations. We found that recommendations presented using the user-model based summarize and refine (UMSR) approach enable more efficient information retrieval than the data-driven summarize and refine (SR) approach. In addition, user ratings on four evaluation criteria showed a clear preference for recommendations based on the UMSR approach.