Explanations of recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
UM '07 Proceedings of the 11th international conference on User Modeling
Adaptive Search Results Personalized by a Fuzzy Recommendation Approach
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Estimating Sales Opportunity Using Similarity-Based Methods
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
Tagsplanations: explaining recommendations using tags
Proceedings of the 14th international conference on Intelligent user interfaces
Discovery-oriented collaborative filtering for improving user satisfaction
Proceedings of the 14th international conference on Intelligent user interfaces
Do you know?: recommending people to invite into your social network
Proceedings of the 14th international conference on Intelligent user interfaces
Personalized recommendation of social software items based on social relations
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
Factor in the neighbors: Scalable and accurate collaborative filtering
ACM Transactions on Knowledge Discovery from Data (TKDD)
Nimble cybersecurity incident management through visualization and defensible recommendations
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
Interactive recommendations in social endorsement networks
Proceedings of the fourth ACM conference on Recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Intelligent tagging interfaces: beyond folksonomy
UIST '10 Adjunct proceedings of the 23nd annual ACM symposium on User interface software and technology
Increasing patient safety using explanation-driven personalized content recommendation
Proceedings of the 1st ACM International Health Informatics Symposium
Taking advice from intelligent systems: the double-edged sword of explanations
Proceedings of the 16th international conference on Intelligent user interfaces
Effect of robot's active touch on people's motivation
Proceedings of the 6th international conference on Human-robot interaction
Educational services recommendation using social network approach
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Explaining negotiation: obtaining a shared mental model of preferences
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
A user-centric evaluation framework for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Diversifying Product Review Rankings: Getting the Full Picture
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
A generalized taxonomy of explanations styles for traditional and social recommender systems
Data Mining and Knowledge Discovery
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
Investigating explanations to justify choice
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
TasteWeights: a visual interactive hybrid recommender system
Proceedings of the sixth ACM conference on Recommender systems
Inspectability and control in social recommenders
Proceedings of the sixth ACM conference on Recommender systems
Transparent provenance derivation for user decisions
IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
Modeling the structure of recommending interfaces with adjustable influence on users
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Trees for explaining recommendations made through collaborative filtering
Information Sciences: an International Journal
Knowledge-Based Systems
Bringing knowledge into recommender systems
Journal of Systems and Software
Proceedings of the 22nd international conference on World Wide Web
TV predictor: personalized program recommendations to be displayed on SmartTVs
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
ACM Transactions on Interactive Intelligent Systems (TiiS)
Multi-Criteria Recommender Systems based on Multi-Attribute Decision Making
Proceedings of International Conference on Information Integration and Web-based Applications & Services
How should I explain? A comparison of different explanation types for recommender systems
International Journal of Human-Computer Studies
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This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing measures can be used to evaluate the quality of explanations. Since explanations are not independent of the recommendation process, we consider how the ways recommendations are presented may affect explanations. Next, we look at different ways of interacting with explanations. The paper is illustrated with examples of explanations throughout, where possible from existing applications.