Case-based recommender systems
By Derek G. Bridge, Mehmet H. Göker, Lorraine McGinty, Barry Smyth. Knowledge engineering review (Print), 2005
301 citations recorded by the source corpus.
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.
Subfields: Artificial Intelligence, Software
View Paper: https://www.semanticscholar.org/paper/a992a50767f5ffb10ae4422f4761ecce4f38d502
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Francesco Ricci
- Jesús Bobadilla
- Neil T. Spring
- Fernando Ortega
- Antonio Hernando
- Abraham Gutiérrez
- Lior Rokach
- Ben Shneiderman
In Software
Citations in the corpus
- Collaborative filtering recommender systems (2013, background): “Remarkable knowledge-based recommender systems typically are Case-Based (CB) (Bridge et al ., 2006; Ricci et al ., 2006b).”
- Recommender Systems: Introduction and Challenges (2015, unknown): “recommender systems are case-based [15, 19, 45].”
- EventAction (2019, background): “When domain knowledge about item features are available, knowledge-based techniques can estimate how much an item meets a user’s needs and identify the best matches [8, 61].”
- Recommender systems survey (2013, background): “User models are based on knowledge structures such as querys (preferred features por products) [109], cases (case-based reasoning) [44], constraints (constraint-based reasoning) [74], ontologies [159], matching metrics and knowledge vectors [194], and social knowledge [53].”
- Recommender Systems (2016, unknown): “Case-based recommender systems: In case-based recommender systems [102, 116, 377, 558], specific cases are specified by the user as targets or anchor points.”
- Introduction to Recommender Systems Handbook (2011, background): “Previously mentioned approaches (critiquing- and preference-based) have been mostly applied to case-based reasoning systems [22], where the retrieval component is based on a similarity metric.”