A formal theory of plan recognition and its implementation
Reasoning about plans
A Bayesian model of plan recognition
Artificial Intelligence
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Acquisition of abstract plan descriptions for plan recognition
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Using plan recognition in human-computer collaboration
UM '99 Proceedings of the seventh international conference on User modeling
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Intelligent agents for automated one-to-many e-commerce negotiation
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Case-Based Reasoning Support for Online Catalog Sales
IEEE Internet Computing
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Incremental Case-Based Plan Recognition Using State Indices
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Mining High-Quality Cases for Hypertext Prediction and Prefetching
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Similarity-Based Approach to Attribute Selection in User-Adaptive Sales Dialogs
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Learning Feature Weights from Case Order Feedback
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Case-Based Reasoning View of Automated Collaborative Filtering
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
PTV: Intelligent Personalised TV Guides
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Learning Feature Weights from Customer Return-Set Selections
Knowledge and Information Systems
Learning the users' preferences in e-commerce: A weight-adjustment approach
International Journal of Knowledge-based and Intelligent Engineering Systems - Soft Computing and its Applications to E-Business
Computational Intelligence techniques for Web personalization
Web Intelligence and Agent Systems
The new HYREC: a new hybrid product recommender system
ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing
A knowledge-based product recommendation system for e-commerce
International Journal of Intelligent Information and Database Systems
Intelligent Decision Technologies - Special issue on Multimedia/Multimodal Human-Computer Interaction in Knowledge-based Environments
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Product recommendation is very important in business to customer (B2C) e-commerce. Automated Collaborative Filtering (ACF) is an important approach for product recommendation. However, a major drawback with this approach is that it can't avoid the “sequence recognition problem”, explained in this paper. Here we present a system that addresses the sequence recognition problem by recording and utilizing the users' purchase patterns and ratings. The proposed system is a fruitful combination of ACF and Case-Based Reasoning Plan Recognition (CBRPR) methods. The evaluation studies prove that the hybrid system provides better performance when compared to ACF and CBRPR methods used individually.