Open AccessGroup-Aware Recommendation using Random Forest Classification for Sparsity Problem
Author(s) -
D. Agalya,
V. Subramaniyaswamy
Publication year - 2016
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2016/v9i48/107960
Subject(s) - collaborative filtering , recommender system , computer science , matrix decomposition , random forest , task (project management) , sparse matrix , group (periodic table) , matrix (chemical analysis) , artificial intelligence , machine learning , product (mathematics) , data mining , information retrieval , mathematics , eigenvalues and eigenvectors , physics , chemistry , management , organic chemistry , materials science , geometry , quantum mechanics , economics , composite material , gaussian