SVMs classification based two-side cross domain collaborative filtering by inferring intrinsic user and item features

X Yu, Y Chu, F Jiang, Y Guo, D Gong - Knowledge-Based Systems, 2018 - Elsevier
Abstract Recently, Cross Domain Collaborate Filtering (CDCF) is a new way to alleviate the
sparsity problem in the recommender systems. CDCF solves the sparsity problem by …

SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features

X Yu, Y Chu, F Jiang, Y Guo, D Gong - Knowledge-Based Systems, 2018 - dl.acm.org
Recently, Cross Domain Collaborate Filtering (CDCF) is a new way to alleviate the sparsity
problem in the recommender systems. CDCF solves the sparsity problem by transferring …

[引用][C] SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features

X Yu, Y Chu, F Jiang, Y Guo, D Gong - Knowledge-Based Systems, 2018 - cir.nii.ac.jp
SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring
intrinsic user and item features | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ …