Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
An intelligence analyst often needs to keep track of more facts than can be held in human memory. As a result, analysts use a notebook or evidence file to record facts learned so f...
A key problem in case-based reasoning is the representation, organization and maintenance of case libraries. While current approaches rely on heuristic and psychologically inspire...
Presentation of search results in Web-based information retrieval (IR) systems has been dominated by a textual form of information such as the title, snippet, URL, and/or file type...
Fundamental to case-based reasoning is the idea that similar problems have similar solutions. The meaning of the concept of "similarity" can vary in different situations...