Designing the Star user interface
Human-computer interaction
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
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
Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
tagging, communities, vocabulary, evolution
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Proceedings of the 2007 international ACM conference on Supporting group work
Signpost from the masses: learning effects in an exploratory social tag search browser
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
Evaluating critiquing-based recommender agents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Generating transparent, steerable recommendations from textual descriptions of items
Proceedings of the third ACM conference on Recommender systems
A comparative study of compound critique generation in conversational recommender systems
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Finding someone in my social directory whom i do not fully remember or barely know
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Critiquing-based recommenders: survey and emerging trends
User Modeling and User-Adapted Interaction
The Tag Genome: Encoding Community Knowledge to Support Novel Interaction
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
Exploring the filter bubble: the effect of using recommender systems on content diversity
Proceedings of the 23rd international conference on World wide web
| Hi-index | 0.00 |
Tags help users understand a rich information space, by showing them specific text annotations for each item in the space and enabling them to search by these annotations. Often, however, users may wish to move from one item to other items that are similar overall, but that differ in key characteristics. For example, a user who loves Pulp Fiction might want to see a similar movie, but might be in a mood for a less "dark" movie. This paper introduces Movie Tuner, a novel interface that supports navigation from one item to nearby items along dimensions represented by tags. Movie Tuner is based on a data structure called the tag genome, which is described in separate work. The tag genome encodes each item's relationship to a common set of tags by applying machine learning algorithms to user-contributed content. The present paper discusses our design of Movie Tuner, including algorithms for navigating to new items and for suggesting tags for navigation. We present the results of a 7-week field trial of 2,531 users of Movie Tuner, and of a survey evaluating users' subjective experience.