Novelty and Diversity in top-N recommendation-Analysis and evaluation

ACM Transactions on Internet Technology

Volumn 10, Issue 4, 2011, Pages

  Hurley, Neil ^a   Zhang, Mi ^b  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b FUDAN UNIVERSITY   (China)

Author keywords

Casebased recommendation; Collaborative filtering; Diversity; Novelty; Recommender systems

Indexed keywords

ANALYSIS AND EVALUATION; BINARY OPTIMIZATION; CASEBASED RECOMMENDATION; COLLABORATIVE FILTERING; COLLABORATIVE RECOMMENDATION; COMMON PROBLEMS; CONTROL PARAMETERS; DATA SETS; DIVERSITY; NOVELTY; OPTIMIZATION PROBLEMS; PUBLIC DOMAINS; SOLUTION STRATEGY; USER QUERY;

OPTIMIZATION;

RECOMMENDER SYSTEMS;

EID: 79953246287     PISSN: 15335399     EISSN: 15576051     Source Type: Journal    
DOI: 10.1145/1944339.1944341     Document Type: Article

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