GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
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CHI '99 Extended Abstracts on Human Factors in Computing Systems
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Recommender Systems Research: A Connection-Centric Survey
Journal of Intelligent Information Systems
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
Flexible recommendations over rich data
Proceedings of the 2008 ACM conference on Recommender systems
FlexRecs: expressing and combining flexible recommendations
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
ISeller: A Flexible Personalization Infrastructure for e-Commerce Applications
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
MUADDIB: A distributed recommender system supporting device adaptivity
ACM Transactions on Information Systems (TOIS)
Proceedings of the third ACM conference on Recommender systems
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems
Proceedings of the third ACM conference on Recommender systems
Personalized context-aware collaborative filtering based on neural network and slope one
CDVE'09 Proceedings of the 6th international conference on Cooperative design, visualization, and engineering
Integrating OLAP and recommender systems: an evaluation perspective
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Information Systems Frontiers
Using external aggregate ratings for improving individual recommendations
ACM Transactions on the Web (TWEB)
Context-aware recommendation using rough set model and collaborative filtering
Artificial Intelligence Review
REQUEST: A Query Language for Customizing Recommendations
Information Systems Research
Ranking objects by following paths in entity-relationship graphs
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Incorporating context into recommender systems: an empirical comparison of context-based approaches
Electronic Commerce Research
A generic graph-based multidimensional recommendation framework and its implementations
Proceedings of the 21st international conference companion on World Wide Web
On the complexity of package recommendation problems
PODS '12 Proceedings of the 31st symposium on Principles of Database Systems
Advance missing data processing for collaborative filtering
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems
Information Processing and Management: an International Journal
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
User Modeling and User-Adapted Interaction
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In this paper, we present a new data-warehousing-based approach to recommender systems. In particular, we propose to extend traditional two-dimensional user/item recommender systems to support multiple dimensions, as well as comprehensive profiling and hierarchical aggregation (OLAP) capabilities. We also introduce a new recommendation query language RQL that can express complex recommendations taking into account the proposed extensions. We describe how these extensions are integrated into a framework that facilitates more flexible and comprehensive user interactions with recommender systems.