A supervised active learning framework for recommender systems based on decision trees

User Modeling and User-Adapted Interaction

Volumn 25, Issue 1, 2015, Pages 39-64

  Karimi, Rasoul ^a   Nanopoulos, Alexandros ^b   Schmidt Thieme, Lars ^a  

^a UNIVERSITY OF HILDESHEIM   (Germany)

^b CATHOLIC UNIVERSITY OF EICHSTÄTT INGOLSTADT   (Germany)

Author keywords

Active learning; Cold start problem; Matrix factorization; Recommender systems

Indexed keywords

DECISION TREES; FACTORIZATION; MATRIX ALGEBRA; RECOMMENDER SYSTEMS;

ACTIVE LEARNING; COLD START PROBLEMS; INNOVATIVE APPROACHES; MATRIX FACTORIZATIONS; NETFLIX; STATE OF THE ART;

LEARNING SYSTEMS;

EID: 84925493252     PISSN: 09241868     EISSN: 15731391     Source Type: Journal    
DOI: 10.1007/s11257-014-9153-z     Document Type: Article

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