When recommenders fail: Predicting recommender failure for algorithm selection and combination

RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems

Volumn , Issue , 2012, Pages 233-236

  Ekstrand, Michael ^a   Riedl, John ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Evaluation; Hybrid recommenders; Recommender systems

Indexed keywords

ALGORITHM SELECTION; DATA SETS; EVALUATION; HYBRID RECOMMENDER SYSTEMS; HYBRID RECOMMENDERS; MULTIPLE ALGORITHMS; RECOMMENDER ALGORITHMS; RELATIVE PERFORMANCE; USER EXPERIENCE;

HYBRID SYSTEMS; RECOMMENDER SYSTEMS;

ALGORITHMS;

EID: 84867356407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2366002     Document Type: Conference Paper

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