Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers

IEEE Access

Volumn 4, Issue , 2016, Pages 204-215

  Verma, Chetan ^a   Hart, Michael ^b   Bhatkar, Sandeep ^b   Parker Wood, Aleatha ^b   Dey, Sujit ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SYMANTEC RESEARCH LABS   (United States)

Author keywords

Enterprise; File systems; Information Retrieval; Machine Learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; INDUSTRY; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; RECOMMENDER SYSTEMS; SCALABILITY;

CLASSIFICATION TIME; ENTERPRISE NETWORKS; FEATURE BASED MODELING; FILE SYSTEMS; OPTIMIZATION TECHNIQUES; PERSONALIZED RECOMMENDATION SYSTEMS; PREDICTION ACCURACY; USER COLLABORATIONS;

SEARCH ENGINES;

EID: 84979824074     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2015.2513000     Document Type: Article

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