Case-based reasoning
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Fast discovery of association rules
Advances in knowledge discovery and data mining
Case-based user profiling in a personal travel assistant
UM '99 Proceedings of the seventh international conference on User modeling
Conversational Case-Based Reasoning
Applied Intelligence
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Knowledge Engineering Requirements in Derivational Analogy
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
A Case-Based Reasoning Approach to Collaborative Filtering
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
A Dynamic Approach to Reducing Dialog in On-Line Decision Guides
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Perspectives: A Declarative Bias Mechanism for Case Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Diagnosis and Decision Support
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
Extending some Concepts of CBR - Foundations of Case Retrieval Nets
Case-Based Reasoning Technology, From Foundations to Applications
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Category-Based Filtering in Recommender Systems for Improved Performance in Dynamic Domains
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Semantic web recommender system based personalization service for user XQuery pattern
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Re-using implicit knowledge in short-term information profiles for context-sensitive tasks
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
HYREC: a hybrid recommendation system for e-commerce
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Combining case-based and similarity-based product recommendation
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
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From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be considered case descriptions. In addition, in some versions of ACF, much of the induction is deferred to run time - in the lazy learning spirit of CBR. On the other hand, because of its lack of semantic descriptions it seems to be the antithesis of case-based reasoning - a learning approach based on case representations. This paper analyses the characteristics shared by ACF and CBR, it highlights the differences between the two approaches and attempts to answer the question "When is it useful or valid to consider ACF as CBR?". We argue that a CBR perspective on ACF can only be useful if it offers insights into the ACF process and supports a transfer of techniques. In conclusion we present a case retrieval net model of ACF and show how it allows for enhancements to the basic ACF idea.