Multicriteria User Modeling in Recommender Systems

Multicriteria User Modeling in Recommender Systems

The paper mentions that a hybrid recommender systems framework creates user-profile groups before applying a collaborative-filtering algorithm by incorporating techniques from the multiple-criteria decision-analysis (MCDA) field.

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Bibliographische Detailangaben
Veröffentlicht in:IEEE intelligent systems 2011-03, Vol.26 (2), p.64-76
Hauptverfasser: Lakiotaki, K, Matsatsinis, N F, Tsoukiàs, A
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Applied sciences
collaborative filtering
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Decision theory. Utility theory
disaggregation/aggregation approach
End users
Exact sciences and technology
Filtering systems
Intelligent systems
Modeling
multiple criteria decision analysis
Multiple criteria decision making
Operational research and scientific management
Operational research. Management science
Recommender systems
Software
User centered design
user modeling
User profiles
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Beschreibung
Zusammenfassung:The paper mentions that a hybrid recommender systems framework creates user-profile groups before applying a collaborative-filtering algorithm by incorporating techniques from the multiple-criteria decision-analysis (MCDA) field.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2011.33