Iterative use of weighted voronoi diagrams to improve scalability in recommender systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9077, Issue , 2015, Pages 605-617

  Das, Joydeep ^a   Majumder, Subhashis ^b   Dutta, Debarshi ^b   Gupta, Prosenjit ^b  

^a Heritage Academy   (India)

^b HERITAGE INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Collaborative filtering; Recommendation algorithms; Scalability; Spatial autocorrelation; Weighted voronoi diagrams

Indexed keywords

ALGORITHMS; AUTOCORRELATION; COMPUTATIONAL GEOMETRY; DATA MINING; GRAPHIC METHODS; ITERATIVE METHODS; RECOMMENDER SYSTEMS; SCALABILITY;

DECOMPOSITION SCHEME; RECOMMENDATION ALGORITHMS; RUNNING TIME; SCALABILITY ISSUE; SCALABILITY PROBLEMS; SPATIAL AUTOCORRELATIONS; VORONOI DECOMPOSITION; WEIGHTED VORONOI DIAGRAM;

COLLABORATIVE FILTERING;

EID: 84945896023     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-18038-0_47     Document Type: Conference Paper

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