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Reasoning about plans
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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
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CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Fab: content-based, collaborative recommendation
Communications of the ACM
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Communications of the ACM
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
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
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IEEE Internet Computing
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research 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
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International Journal of Knowledge-based and Intelligent Engineering Systems - Soft Computing and its Applications to E-Business
HYREC: a hybrid recommendation system for e-commerce
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
The Knowledge Engineering Review
Improving recommendation performance through ontology-based semantic similarity
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
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This paper presents a knowledge-based product recommendation system for Business-to-Customer (B2C) e-commerce purposes. The system is based on the observation that the purchase patterns of previous users play a vital role in recommending the products to new users if the new users already followed parts of the existing patterns. The system is based on Case-Based Reasoning Plan Recognition (CBRPR) approaches and Automated Collaborative Filtering (ACF) approaches. The system also addresses the issue of organising and utilising the information related to the products that are purchased repetitively by a user. The system is named RecommendEx and is tested in a simulated environment to test its operational performance. The evaluation results are included.