Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
Designing example-critiquing interaction
Proceedings of the 9th international conference on Intelligent user interfaces
Compound Critiques for Conversational Recommender Systems
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Experiments in dynamic critiquing
Proceedings of the 10th international conference on Intelligent user interfaces
Explanations of recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Tagsplanations: explaining recommendations using tags
Proceedings of the 14th international conference on Intelligent user interfaces
A Survey of Explanations in Recommender Systems
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Generating transparent, steerable recommendations from textual descriptions of items
Proceedings of the third ACM conference on Recommender systems
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This paper summarizes our work on using tags to broaden the dialog between a recommender system and its users. We present two tagging applications that enrich this dialog: tagsplanations are tag-based explanations of recommendations provided by a system to its users, and Movie Tuner is a conversational recommender system that enables users to provide feedback on movie recommendations using tags. We discuss the design of both systems and the experimental methodology used to evaluate the design choices.