How many bits per rating?

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

Volumn , Issue , 2012, Pages 99-106

  Kluver, Daniel ^a   Nguyen, Tien T ^a   Ekstrand, Michael ^a   Sen, Shilad ^b   Riedl, John ^a  

^a University of Minnesota   (United States)

^b MACALESTER COLLEGE   (United States)

Author keywords

Evaluation; Information theory; Metrics; Ratings; Recommender systems

Indexed keywords

AMOUNT OF INFORMATION; EVALUATION; METRICS; NOISE LIMIT; PREDICTIVE POWER; PREDICTIVE VALUES; PREFERENCE INFORMATION; RATING SCALE; REAL-WORLD DATASETS; USER RATING;

COMMERCE; FORECASTING; INFORMATION THEORY; QUALITY OF SERVICE; RATING;

RECOMMENDER SYSTEMS;

EID: 84867372790     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2365974     Document Type: Conference Paper

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