An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Enhancing digital libraries with TechLens+
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Influence-based collaborative active learning
Proceedings of the 2007 ACM conference on Recommender systems
Effective explanations of recommendations: user-centered design
Proceedings of the 2007 ACM conference on Recommender systems
A multiagent knowledge-based recommender approach with truth maintenance
Proceedings of the 2007 ACM conference on Recommender systems
Explanations of recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Information Processing and Management: an International Journal
The effect of correlation coefficients on communities of recommenders
Proceedings of the 2008 ACM symposium on Applied computing
UM '07 Proceedings of the 11th international conference on User Modeling
Comparing State-of-the-Art Collaborative Filtering Systems
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Mood and Recommendations: On Non-cognitive Mood Inducers for High Quality Recommendation
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Mining recommendations from the web
Proceedings of the 2008 ACM conference on Recommender systems
CARD: a decision-guidance framework and application for recommending composite alternatives
Proceedings of the 2008 ACM conference on Recommender systems
A new approach to evaluating novel recommendations
Proceedings of the 2008 ACM conference on Recommender systems
Who predicts better?: results from an online study comparing humans and an online recommender system
Proceedings of the 2008 ACM conference on Recommender systems
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
Cross-representation mediation of user models
User Modeling and User-Adapted Interaction
It takes variety to make a world: diversification in recommender systems
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
TANGENT: a novel, 'Surprise me', recommendation algorithm
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Lessons on applying automated recommender systems to information-seeking tasks
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Getting recommender systems to think outside the box
Proceedings of the third ACM conference on Recommender systems
Recommender systems for the conference paper assignment problem
Proceedings of the third ACM conference on Recommender systems
Enhancing diversity in Top-N recommendation
Proceedings of the third ACM conference on Recommender systems
Jointly optimising relevance and diversity in image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
From hits to niches?: or how popular artists can bias music recommendation and discovery
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Short and tweet: experiments on recommending content from information streams
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effect of preference elicitation methods on the user experience of a recommender system
CHI '10 Extended Abstracts on Human Factors in Computing Systems
In situ evaluation of recommender systems: Framework and instrumentation
International Journal of Human-Computer Studies
Tutorial on evaluating recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Eye-tracking product recommenders' usage
Proceedings of the fourth ACM conference on Recommender systems
Understanding choice overload in recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Automatically building research reading lists
Proceedings of the fourth ACM conference on Recommender systems
Do clicks measure recommendation relevancy?: an empirical user study
Proceedings of the fourth ACM conference on Recommender systems
List-wise learning to rank with matrix factorization for collaborative filtering
Proceedings of the fourth ACM conference on Recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Topic-based recommendations in enterprise social media sharing platforms
Proceedings of the fourth ACM conference on Recommender systems
Workshop on user-centric evaluation of recommender systems and their interfaces
Proceedings of the fourth ACM conference on Recommender systems
Classical music for rock fans?: novel recommendations for expanding user interests
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Implementing an image search system with integrating social tags and DBpedia
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
User-based Collaborative Filtering: Sparsity and Performance
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Enhancing recommendation diversity with organization interfaces
Proceedings of the 16th international conference on Intelligent user interfaces
Novelty and Diversity in Top-N Recommendation -- Analysis and Evaluation
ACM Transactions on Internet Technology (TOIT)
Making interval-based clustering rank-aware
Proceedings of the 14th International Conference on Extending Database Technology
Do you want to know?: recommending strangers in the enterprise
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Design and evaluation of a command recommendation system for software applications
ACM Transactions on Computer-Human Interaction (TOCHI)
Comparative evaluation of recommender system quality
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Optimal recommender systems blending
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Personalised rating prediction for new users using latent factor models
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
An analysis of probabilistic methods for top-N recommendation in collaborative filtering
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Looking for "good" recommendations: a comparative evaluation of recommender systems
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Rank and relevance in novelty and diversity metrics for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
A user-centric evaluation framework for recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Personalized activity streams: sifting through the "river of news"
Proceedings of the fifth ACM conference on Recommender systems
A pragmatic procedure to support the user-centric evaluation of recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Precision-oriented evaluation of recommender systems: an algorithmic comparison
Proceedings of the fifth ACM conference on Recommender systems
Workshop on novelty and diversity in recommender systems - DiveRS 2011
Proceedings of the fifth ACM conference on Recommender systems
Auralist: introducing serendipity into music recommendation
Proceedings of the fifth ACM international conference on Web search and data mining
Online selection of diverse results
Proceedings of the fifth ACM international conference on Web search and data mining
Collaborative filtering: the aim of recommender systems and the significance of user ratings
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Multimedia Tools and Applications
To switch or not to switch: understanding social influence in online choices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
The relation between user intervention and user satisfaction for information recommendation
Proceedings of the 27th Annual ACM Symposium on Applied Computing
User profiling vs. accuracy in recommender system user experience
Proceedings of the International Working Conference on Advanced Visual Interfaces
When sparsity meets noise in collaborative filtering
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Challenging the long tail recommendation
Proceedings of the VLDB Endowment
Context relevance assessment and exploitation in mobile recommender systems
Personal and Ubiquitous Computing
GetJar mobile application recommendations with very sparse datasets
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Explaining the user experience of recommender systems
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
Conducting user experiments in recommender systems
Proceedings of the sixth ACM conference on Recommender systems
Pareto-efficient hybridization for multi-objective recommender systems
Proceedings of the sixth ACM conference on Recommender systems
User effort vs. accuracy in rating-based elicitation
Proceedings of the sixth ACM conference on Recommender systems
High quality recommendations for small communities: the case of a regional parent network
Proceedings of the sixth ACM conference on Recommender systems
Case study on the business value impact of personalized recommendations on a large online retailer
Proceedings of the sixth ACM conference on Recommender systems
Workshop on recommendation utility evaluation: beyond RMSE -- RUE 2012
Proceedings of the sixth ACM conference on Recommender systems
Exploiting relevance, novelty and diversity in tag recommendation
Proceedings of the 18th Brazilian symposium on Multimedia and the web
A comparative study of heterogeneous item recommendations in social systems
Information Sciences: an International Journal
Proceedings of the sixth ACM international conference on Web search and data mining
Building user profiles to improve user experience in recommender systems
Proceedings of the sixth ACM international conference on Web search and data mining
User-centric evaluation of a K-furthest neighbor collaborative filtering recommender algorithm
Proceedings of the 2013 conference on Computer supported cooperative work
Proceedings of the 2013 international conference on Intelligent user interfaces
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
Serendipitous Personalized Ranking for Top-N Recommendation
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Being confident about the quality of the predictions in recommender systems
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
How personality influences users' needs for recommendation diversity?
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Using personality to adjust diversity in recommender systems
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Nontrivial landmark recommendation using geotagged photos
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Diversity maximization under matroid constraints
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
A new collaborative filtering approach for increasing the aggregate diversity of recommender systems
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Measuring spontaneous devaluations in user preferences
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 7th ACM conference on Recommender systems
A food recommender for patients in a care facility
Proceedings of the 7th ACM conference on Recommender systems
Beyond rating prediction accuracy: on new perspectives in recommender systems
Proceedings of the 7th ACM conference on Recommender systems
A month in the life of a production news recommender system
Proceedings of the 2013 workshop on Living labs for information retrieval evaluation
Proceedings of the 7th ACM international conference on Web search and data mining
Towards a user experience design framework for adaptive spoken dialogue in automotive contexts
Proceedings of the 19th international conference on Intelligent User Interfaces
See what you want to see: visual user-driven approach for hybrid recommendation
Proceedings of the 19th international conference on Intelligent User Interfaces
Who likes it more?: mining worth-recommending items from long tails by modeling relative preference
Proceedings of the 7th ACM international conference on Web search and data mining
Multi-objective mobile app recommendation: A system-level collaboration approach
Computers and Electrical Engineering
Clustering-based diversity improvement in top-N recommendation
Journal of Intelligent Information Systems
A survey of collaborative filtering based social recommender systems
Computer Communications
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Recommender systems have shown great potential to help users find interesting and relevant items from within a large information space. Most research up to this point has focused on improving the accuracy of recommender systems. We believe that not only has this narrow focus been misguided, but has even been detrimental to the field. The recommendations that are most accurate according to the standard metrics are sometimes not the recommendations that are most useful to users. In this paper, we propose informal arguments that the recommender community should move beyond the conventional accuracy metrics and their associated experimental methodologies. We propose new user-centric directions for evaluating recommender systems.