A personal news agent that talks, learns and explains
Proceedings of the third annual conference on Autonomous Agents
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Is seeing believing?: how recommender system interfaces affect users' opinions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usage patterns of collaborative tagging systems
Journal of Information Science
tagging, communities, vocabulary, evolution
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Effective explanations of recommendations: user-centered design
Proceedings of the 2007 ACM conference on Recommender systems
Explanations of recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Proceedings of the 2007 international ACM conference on Supporting group work
A Survey of Explanations in Recommender Systems
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
The impact of ambiguity and redundancy on tag recommendation in folksonomies
Proceedings of the third ACM conference on Recommender systems
Adaptive tradeoff explanations in conversational recommenders
Proceedings of the third ACM conference on Recommender systems
Generating transparent, steerable recommendations from textual descriptions of items
Proceedings of the third ACM conference on Recommender systems
Rush: repeated recommendations on mobile devices
Proceedings of the 15th international conference on Intelligent user interfaces
Personalization via friendsourcing
ACM Transactions on Computer-Human Interaction (TOCHI)
Improving the accuracy of tagging recommender system by using classification
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Social media recommendation based on people and tags
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Nimble cybersecurity incident management through visualization and defensible recommendations
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
Who is talking about what: social map-based recommendation for content-centric social websites
Proceedings of the fourth ACM conference on Recommender systems
Tag expression: tagging with feeling
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Intelligent tagging interfaces: beyond folksonomy
UIST '10 Adjunct proceedings of the 23nd annual ACM symposium on User interface software and technology
bumpy, caution with merging: an exploration of tagging in a geowiki
Proceedings of the 16th ACM international conference on Supporting group work
Taking advice from intelligent systems: the double-edged sword of explanations
Proceedings of the 16th international conference on Intelligent user interfaces
Integrating user feedback with heuristic security and privacy management systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites
ACM Transactions on Intelligent Systems and Technology (TIST)
An explanation-centric approach for personalizing intelligent agents
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction
A generalized taxonomy of explanations styles for traditional and social recommender systems
Data Mining and Knowledge Discovery
Using inferred tag ratings to improve user-based collaborative filtering
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Evaluating the effectiveness of explanations for recommender systems
User Modeling and User-Adapted Interaction
User-based collaborative filtering on cross domain by tag transfer learning
Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining
Facilitating code example search on the web through expertise personalization
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
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
You should read this! let me explain you why: explaining news recommendations to users
Proceedings of the 21st ACM international conference on Information and knowledge management
Improving recommendation accuracy based on item-specific tag preferences
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
A novel user-based collaborative filtering method by inferring tag ratings
ACM SIGAPP Applied Computing Review
Visualizing recommendations to support exploration, transparency and controllability
Proceedings of the 2013 international conference on Intelligent user interfaces
Identifying Influential Taggers in Trust-Aware Recommender Systems
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Knowledge-Based Systems
Proceedings of the 22nd international conference on World Wide Web
How should I explain? A comparison of different explanation types for recommender systems
International Journal of Human-Computer Studies
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While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improving user satisfaction to helping users make better decisions. This paper introduces tagsplanations, which are explanations based on community tags. Tagsplanations have two key components: tag relevance, the degree to which a tag describes an item, and tag preference, the user's sentiment toward a tag. We develop novel algorithms for estimating tag relevance and tag preference, and we conduct a user study exploring the roles of tag relevance and tag preference in promoting effective tagsplanations. We also examine which types of tags are most useful for tagsplanations.