Fab: content-based, collaborative recommendation
Communications of the ACM
The maximum entropy principle in information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Using decision theory to order documents
Proceedings of the third ACM conference on Digital libraries
Collecting user access patterns for building user profiles and collaborative filtering
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
The maximum entropy approach and probabilistic IR models
ACM Transactions on Information Systems (TOIS)
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Eigentaste: A Constant Time Collaborative Filtering Algorithm
Information Retrieval
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Myopic Policies in Sequential Classification
IEEE Transactions on Computers
Toward case-based preference elicitation: similarity measures on preference structures
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Towards more conversational and collaborative recommender systems
Proceedings of the 8th international conference on Intelligent user interfaces
An adaptive stock tracker for personalized trading advice
Proceedings of the 8th international conference on Intelligent user interfaces
Recommendations without user preferences: a natural language processing approach
Proceedings of the 8th international conference on Intelligent user interfaces
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
A comparison of several predictive algorithms for collaborative filtering on multi-valued ratings
Proceedings of the 2004 ACM symposium on Applied computing
Two-way adaptation for robust input interpretation in practical multimodal conversation systems
Proceedings of the 10th international conference on Intelligent user interfaces
How oversight improves member-maintained communities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized e-learning system using Item Response Theory
Computers & Education
IEEE Transactions on Knowledge and Data Engineering
Being accurate is not enough: how accuracy metrics have hurt recommender systems
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Scouts, promoters, and connectors: the roles of ratings in nearest neighbor collaborative filtering
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Naïve filterbots for robust cold-start recommendations
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
iShakti--Crossing the Digital Divide in Rural India
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering
ACM Transactions on the Web (TWEB)
Persuasion in Recommender Systems
International Journal of Electronic Commerce
Integrated personal recommender systems
Proceedings of the ninth international conference on Electronic commerce
REFEREE: an open framework for practical testing of recommender systems using ResearchIndex
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
The influence limiter: provably manipulation-resistant recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Improving new user recommendations with rule-based induction on cold user data
Proceedings of the 2007 ACM conference on Recommender systems
Influence-based collaborative active learning
Proceedings of the 2007 ACM conference on Recommender systems
Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering
Proceedings of the 2007 ACM conference on Recommender systems
International Journal of Learning Technology
Crafting the initial user experience to achieve community goals
Proceedings of the 2008 ACM conference on Recommender systems
User-controllable learning of security and privacy policies
Proceedings of the 1st ACM workshop on Workshop on AISec
A Hybrid System: Neural Network with Data Mining in an e-Learning Environment
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Learning preferences of new users in recommender systems: an information theoretic approach
ACM SIGKDD Explorations Newsletter
Handling sequential pattern decay: Developing a two-stage collaborative recommender system
Electronic Commerce Research and Applications
Finding similar users in social networks: extended abstract
Proceedings of the twenty-first annual symposium on Parallelism in algorithms and architectures
Exploring more realistic evaluation measures for collaborative filtering
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Multi-angle view on preference elicitation for negotiation support systems
HuCom '08 Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation
Evaluating Interface Variants on Personality Acquisition for Recommender Systems
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Increasing engagement through early recommender intervention
Proceedings of the third ACM conference on Recommender systems
Rate it again: increasing recommendation accuracy by user re-rating
Proceedings of the third ACM conference on Recommender systems
Integrating web mining and neural network for personalized e-commerce automatic service
Expert Systems with Applications: An International Journal
Commodity recommendations of retail business based on decisiontree induction
Expert Systems with Applications: An International Journal
An application of data mining in adaptive web based education system
WBE '08 Proceedings of the Seventh IASTED International Conference on Web-based Education
Interfaces for eliciting new user preferences in recommender systems
UM'03 Proceedings of the 9th international conference on User modeling
Modeling the multiple people that are me
UM'03 Proceedings of the 9th international conference on User modeling
Photo-based user profiling for tourism recommender systems
EC-Web'07 Proceedings of the 8th international conference on E-commerce and web technologies
Active learning driven by rating impact analysis
Proceedings of the fourth ACM conference on Recommender systems
User preferences discovery using fuzzy models
Fuzzy Sets and 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
On bootstrapping recommender systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Using affective parameters in a content-based recommender system for images
User Modeling and User-Adapted Interaction
CareDB: a context and preference-aware location-based database system
Proceedings of the VLDB Endowment
Adaptive bootstrapping of recommender systems using decision trees
Proceedings of the fourth ACM international conference on Web search and data mining
Accelerated Learning of User Profiles
Management Science
User-centered design of preference elicitation interfaces for decision support
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Functional matrix factorizations for cold-start recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Towards compositional design and evaluation of preference elicitation interfaces
HCD'11 Proceedings of the 2nd international conference on Human centered design
Adaptive active learning in recommender systems
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Expert Systems with Applications: An International Journal
Wisdom of the better few: cold start recommendation via representative based rating elicitation
Proceedings of the fifth ACM conference on Recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Expert Systems with Applications: An International Journal
ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security
Active collaborative filtering
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A collaborative filtering approach to mitigate the new user cold start problem
Knowledge-Based Systems
Location-based service with context data for a restaurant recommendation
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction
Expert Systems with Applications: An International Journal
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 effort vs. accuracy in rating-based elicitation
Proceedings of the sixth ACM conference on Recommender systems
Finding a needle in a haystack of reviews: cold start context-based hotel recommender system
Proceedings of the sixth ACM conference on Recommender systems
Influential seed items recommendation
Proceedings of the sixth ACM conference on Recommender systems
Exploiting the characteristics of matrix factorization for active learning in recommender systems
Proceedings of the sixth ACM conference on Recommender systems
Semantic preference retrieval for querying knowledge bases
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Learning multiple-question decision trees for cold-start recommendation
Proceedings of the sixth ACM international conference on Web search and data mining
Adapting to natural rating acquisition with combined active learning strategies
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
A hidden Markov model for collaborative filtering
MIS Quarterly
Modeling the uniqueness of the user preferences for recommendation systems
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Rating Bias and Preference Acquisition
ACM Transactions on Interactive Intelligent Systems (TiiS)
Interactive collaborative filtering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Interview process learning for top-n recommendation
Proceedings of the 7th ACM conference on Recommender systems
A collaborative filtering recommendation system combining semantics and Bayesian reasoning
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
A case-based solution to the cold-start problem in group recommenders
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Facing the cold start problem in recommender systems
Expert Systems with Applications: An International Journal
Utilizing user tag-based interests in recommender systems for social resource sharing websites
Knowledge-Based Systems
Incorporating frequency, recency and profit in sequential pattern based recommender systems
Intelligent Data Analysis
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Recommender systems have become valuable resources for users seeking intelligent ways to search through the enormous volume of information available to them. One crucial unsolved problem for recommender systems is how best to learn about a new user. In this paper we study six techniques that collaborative filtering recommender systems can use to learn about new users. These techniques select a sequence of items for the collaborative filtering system to present to each new user for rating. The techniques include the use of information theory to select the items that will give the most value to the recommender system, aggregate statistics to select the items the user is most likely to have an opinion about, balanced techniques that seek to maximize the expected number of bits learned per presented item, and personalized techniques that predict which items a user will have an opinion about. We study the techniques thru offline experiments with a large pre-existing user data set, and thru a live experiment with over 300 users. We show that the choice of learning technique significantly affects the user experience, in both the user effort and the accuracy of the resulting predictions.