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Case-based recommender systems

Journal Article journal-article Artificial Intelligence · Knowledge Engineering

Abstract

We describe recommender systems and especially case-based recommender systems. We define a framework in which these systems can be understood. The framework contrasts collaborative with case-based, reactive with proactive, single-shot with conversational, and asking with proposing. Within this framework, we review a selection of papers from the case-based recommender systems literature, covering the development of these systems over the last ten years.

Authors

Keywords

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Context

Venue
The Knowledge Engineering Review
Archive span
1984-2026
Indexed papers
1256
Paper id
80946622350804037
v2026.09.13